2e:null 2f:["$","title",null,{"children":"(Old) Kaggle brackets for March Madness | Mark McClure | Observable"}] 34:T72c,topmatter = md`[Kaggle](https://www.kaggle.com/) runs an annual March Madness competition where competitors use data science to make predictions about the NCAA tournament. It's a little deeper than the standard bracket, though, since (in true stastistical fashion) we assess the *probability* of a particular outcome for each game. Once the game is played, your score is assessed using the [Brier score](https://en.wikipedia.org/wiki/Brier_score). This web page allows you to visualize the Brier score throughout your bracket. You can start easy by choosing an example from the Examples menu. The bracket should appear with the games shaded according to the quality of the predictions. Green is good, red is bad, and almost white is near the middle. You can also project to see how the predictions think the tournament might play out. The "Experts Median" example is a [submission file provided by Kaggle](https://www.kaggle.com/competitions/march-machine-learning-mania-2023/discussion/395317) where each record represents a median prediction from a pool of "experts" who have scored well in past iterations of this competition. The "Five Thirty Eight" example is computed from [FiveThirtyEight ratings](https://projects.fivethirtyeight.com/2023-march-madness-predictions/), as compiled by [a fellow Kaggler](https://www.kaggle.com/competitions/march-machine-learning-mania-2023/discussion/388323). Once you have the FiveThirtyEight ratings, predictions are easy to compute since they're designed to satisfy [a formula described on this web page](https://fivethirtyeight.com/methodology/how-our-march-madness-predictions-work-2/): ${tex.block`\text{P(Team 1 beats Team 2)} = \frac{1}{1+10^{-30.464(r_1 - r_2)/400}}.`} If you have your own submission for the 2023 competition, then you can click the "Browse" button to upload it. `35:T647,input = { let div = d3.create("div"); div.append("h4").text("Examples"); let sample_file = div.append("select"); let init_option = sample_file .append("option") .property("value", "none") .text(" --- "); sample_file .append("option") .property("value", "filtered_experts_median") .text("Experts Median"); sample_file .append("option") .property("value", "FiveThirtyEight") .text("Five Thirty Eight"); sample_file.on("change", async function () { let v = sample_file.property("value"); let csv_text; if (v == "filtered_experts_median") { Promises.delay() .then(async function () { csv_text = await FileAttachment( "FilteredExpertsMedianSubmission.csv" ).text(); }) .then(function () { set_setup(csv_text); }); } else if (v == "FiveThirtyEight") { Promises.delay() .then(async function () { csv_text = await FileAttachment( "FiveThirtyEightPredictions.csv" ).text(); }) .then(function () { set_setup(csv_text); }); } file_input.node().value = null; init_option.node().disabled = true; }); div.append(() => sample_file.node()); let file_input = div .append("input") .attr("type", "file") .style("margin-left", "5px"); file_input.node().addEventListener( "change", function () { sample_file.property("value", "none"); let ff = this.files[0]; ff.text().then((o) => set_setup(o)); }, false ); return div.node(); }36:T613,## Comments This is a bit of a work in progress since the Kaggle competition format changed this year. I've got a few more things that I'd like to do but will probably not be able to until after the tournament is complete. The focus of the bracket visualizer is not really to project teams up the bracket - rather it's to indicate the quality of your predictions via the shading and tooltip. In the default viewing mode, with no projection, that's all that is shown. You can choose to project, though. Here are some details on how projection works: * You can choose to project * *From Current*, which projects from the current state of the tournament and is only relevant while the tournament is running, or * *From beginning*, to see how things would've panned out in your perfect (or totally imperfect) world. * The projection type can be * *Best*, which projects the team that contributes least to your Brier score, or * *Worst*, which projects the team that contributes most to your Brier score. * In all situations, the displayed Brier score is based on the shaded games. The Best/Worst switch allows you estimate your best or worse possible scores. * In 50-50 games, the Best/Worst projection is based on the `slot` variable in the Kaggle data. * Projected games are shaded blue and darker shading indicates more confidence. * The displayed "score" of a projected game reflects the probability assigned to that game. For example, if I predict that UNC beats Duke with 99% confidence, the displayed score will be 99-1.37:T86e,function make_brackets() { let div = d3 .create("div") .style("width", div_width + "px") .style("height", div_height + "px") .style("position", "relative"); let svg = div .append("svg") .attr("width", div_width) .attr("height", div_height) .style("width", div_width + "px") .style("height", div_height + "px") .style("position", "absolute"); // Draw connectors on the SVG background svg .selectAll("path.link") .data(tourney_tree.links()) .join("path") .attr("class", function (d) { let label = "link"; if ( d.target.data.WTeam && d.target.data.LTeam && d.source.data.WTeam && d.source.data.LTeam && (d.target.data.WTeam.TeamID == d.source.data.WTeam.TeamID || d.target.data.WTeam.TeamID == d.source.data.LTeam.TeamID) ) { label = label + " Team" + d.target.data.WTeam.TeamID; } return label; }) .attr("stroke", "black") .attr("stroke-width", 1) .attr("fill", "none") .attr("d", connector); // Place the games as absolutely positioned DIVs div .selectAll("div.game") .data(tourney_tree.descendants()) .enter() .append((d) => game_container(d)); // Highlight a team's path through the tournament // on mouseenter. div .selectAll(".team") .on("mouseenter", function () { if (setup && setup.predictions) { let class_label = d3.select(this).attr("class").split(" ")[2]; div.selectAll(".team." + class_label).style("background-color", "#dd2"); div .selectAll(".game." + class_label) .style("border", "solid 3px black"); svg.selectAll(".link." + class_label).attr("stroke-width", 3); } }) .on("mouseleave", function () { let class_label = d3.select(this).attr("class").split(" ")[2]; div .selectAll(".team." + class_label) .style("background-color", "rgba(204,204,204,0)"); div.selectAll(".game." + class_label).style("border", "solid 1px black"); svg.selectAll(".link." + class_label).attr("stroke-width", 1); }); return div.node(); }38:T1026,// Each game displayed in the brackets is contained in a DIV that's // built by this function. function game_container(game) { let top_team, bot_team; if (game.data.WTeam) { if (game.data.WTeam.pos == "top") { top_team = game.data.WTeam; } else if (game.data.WTeam.pos == "bot") { bot_team = game.data.WTeam; } } if (game.data.LTeam) { if (game.data.LTeam.pos == "top") { top_team = game.data.LTeam; } else if (game.data.LTeam.pos == "bot") { bot_team = game.data.LTeam; } } let shade = "#ddd"; if ( game.data.played && game.data.WTeam && game.data.LTeam && game.data.WTeam.win & (game.data.WTeam.score > 1) ) { let pred = get_predicted_probability( game.data.WTeam.TeamID, game.data.LTeam.TeamID ); if (pred >= 0.5) { shade = d3.interpolateGreens(1.5 * (pred - 0.5)); } else if (pred < 0.5) { shade = d3.interpolateReds(1.5 * (0.5 - pred)); } } else if ( game.data.projected // game.data.WTeam && // game.data.LTeam && // game.data.WTeam.win & (game.data.WTeam.score > 1) ) { let pred = get_predicted_probability( game.data.WTeam.TeamID, game.data.LTeam.TeamID ); if (pred >= 0.5) { shade = d3.interpolateBlues(1.5 * (pred - 0.5)); } else if (pred < 0.5) { shade = d3.interpolateBlues(1.5 * (0.5 - pred)); } } let div = d3 .create("div") .attr("class", "game-container") .style("background-color", shade) .style("width", function () { if (game.data.round == 6) { return 1.4 * team_width + "px"; } else { return team_width + "px"; } }) .style("height", function () { if (game.data.round == 6) { return 1.4 * game_height + "px"; } else { return game_height + "px"; } }) .style("left", function () { if (game.data.round == 6) { return (game.x2 - 0.2 * team_width).toString() + "px"; } else { return game.x2 + "px"; } }) .style("top", function () { if (game.data.round == 6) { return (game.y2 - 0.2 * game_height).toString() + "px"; } else { return game.y2 + "px"; } }) .style("border", "solid 0.5px black") .style("position", "absolute"); div.append(() => team_container(top_team, game.data.round, "top_team")); div.append(() => team_container(bot_team, game.data.round, "bot_team")); if ( setup && setup.predictions && game.data.WTeam && game.data.WTeam.win && game.data.LTeam // && game.data.WTeam.score > 1 ) { let pred = get_predicted_probability( game.data.WTeam.TeamID, game.data.LTeam.TeamID ); let game_brier_score = (1 - pred) ** 2; tippy(div.node(), { theme: "light", content: `Prediction: ${game.data.WTeam.TeamName} beats ${ game.data.LTeam.TeamName } with probabiltiy ${format(pred)} for a Brier score of ${format( game_brier_score )}.` }); } else if ( setup && setup.predictions && game.data.WTeam && game.data.WTeam.win && game.data.LTeam && game.data.WTeam.score == 1 ) { tippy(div.node(), { theme: "light", content: "Game cancelled" }); } else if ( setup && setup.predictions && game.data.WTeam && game.data.WTeam.TeamID && game.data.LTeam && game.data.LTeam.TeamID && !game.data.WTeam.win ) { let pred = get_predicted_probability( game.data.WTeam.TeamID, game.data.LTeam.TeamID ); tippy(div.node(), { content: `Prediction: ${game.data.WTeam.TeamName} beats ${ game.data.LTeam.TeamName } with probabiltiy ${format(pred)}.`, theme: "light", }); } // cmd-click on an unplayed game to copy a result template to update the result file div.on("click", function (evt) { if (evt.metaKey) { let result_text = `2022,,${game.data.WTeam.TeamID},WS,${game.data.LTeam.TeamID},LS,, ${game.data.WTeam.TeamName}, ${game.data.LTeam.TeamName}`; pbcopy(result_text); } }); return div.node(); }39:T6a8,// Each game_container contains two team_containers // They're displayed slightly differently depending on // round and whether they're on the top or bottom (tb). function team_container(team, round, tb) { let div = d3 .create("div") .style("background", "rgba(204, 204, 204, 0)") .attr("class", function (d) { let label = "team " + tb + " "; if (team && team.TeamID) { label = label + "Team" + team.TeamID; } if (round == 6) { label = label + " championship"; } return label; }); // Round 1 games display the seed and might have a play-in to highlight. if (round == 1) { let seed_span = div .append("span") .style("color", "black") .text(team.seed + " "); if (setup && setup.predictions && team.playin) { seed_span.style("color", "blue"); let title = "Play-in info
"; title = title + `${team.TeamName}: ${team.playin.score}
`; title = title + `${team.playin.playin_opponent_name}: ${team.playin.playin_opponent_score}`; // seed_span.attr('title', title); // tippy(seed_span.node()); tippy(seed_span.node(), { theme: "light", content: title, allowHTML: true }); } } // Add name and score let team_display; if (setup && setup.predictions) { if (team && team.TeamNames && team.score == 0) { team_display = team.TeamNames; } else if (team) { team_display = team.TeamName; } div.append("span").style("color", "black").text(team_display); if (team && team.score) { div.append("span").attr("class", "score").text(team.score); } } return div.node(); }3a:T72b,function connector(link) { if (link.target.data.round >= 2) { let x1 = link.source.x2; let y1 = link.source.y2; let x2 = link.target.x2; let y2 = link.target.y2; let xx1, yy1, xx2, yy2; let path; // We can tell whether we're linking up or down by // comparing expected seeds. let [seed1, seed2] = link.target.data.expected_seeds; // Upper links if (seed1 < seed2) { // Left half of bracket if (link.target.data.region == 'W' || link.target.data.region == 'Y') { xx1 = x1 + team_width / 2; yy1 = y1; xx2 = x2 + team_width; yy2 = y2 + game_height / 2; path = [[xx1, yy1], [xx1, yy2], [xx2, yy2]]; return d3.line()(path); } // Right half of bracket else if ( link.target.data.region == 'X' || link.target.data.region == 'Z' ) { xx1 = x1 + team_width / 2; yy1 = y1; xx2 = x2; yy2 = y2 + game_height / 2; path = [[xx1, yy1], [xx1, yy2], [xx2, yy2]]; return d3.line()(path); } } // Lower links else { // Left half of bracket if (link.target.data.region == 'W' || link.target.data.region == 'Y') { xx1 = x1 + team_width / 2; yy1 = y1 + game_height; xx2 = x2 + team_width; yy2 = y2 + game_height / 2; path = [[xx1, yy1], [xx1, yy2], [xx2, yy2]]; return d3.line()(path); } // Right half of bracket else if ( link.target.data.region == 'X' || link.target.data.region == 'Z' ) { xx1 = x1 + team_width / 2; yy1 = y1 + game_height; xx2 = x2; yy2 = y2 + game_height / 2; path = [[xx1, yy1], [xx1, yy2], [xx2, yy2]]; return d3.line()(path); } } } else { return null; } }3b:T779,function horizontal_rescaler(d) { let region = d.data.region; let scaler; let s = 3; // A small amount to shift round 2 games // Upper right if (region == 'X' || region == 'WX') { if (d.data.round == 2) { scaler = d3 .scaleLinear() .domain([0, div_width]) .range([ 0.5 * div_width - 1.5 * team_width - s, div_width - team_width - s ]); } else { scaler = d3 .scaleLinear() .domain([0, div_width]) .range([0.5 * div_width - 1.5 * team_width, div_width - team_width]); } } // Upper left else if (region == 'W') { if (d.data.round == 2) { scaler = d3 .scaleLinear() .domain([0, div_width]) .range([0.5 * (div_width + team_width) + s, s]); } else { scaler = d3 .scaleLinear() .domain([0, div_width]) .range([0.5 * (div_width + team_width), 0]); } } // Lower left else if (region == 'Y' || region == 'YZ') { if (d.data.round == 2) { scaler = d3 .scaleLinear() .domain([0, div_width]) .range([0.5 * (div_width + team_width) + s, s]); } else { scaler = d3 .scaleLinear() .domain([0, div_width]) .range([0.5 * (div_width + team_width), 0]); } } // Lower right else if (region == 'Z') { if (d.data.round == 2) { scaler = d3 .scaleLinear() .domain([0, div_width]) .range([ 0.5 * div_width - 1.5 * team_width - s, div_width - team_width - s ]); } else { scaler = d3 .scaleLinear() .domain([0, div_width]) .range([0.5 * div_width - 1.5 * team_width, div_width - team_width]); } } else if (region == 'CH') scaler = d3 .scaleLinear() .domain([0, div_width]) .range([0.5 * (div_width - team_width), 0]); return scaler(d.y); }3c:T477,function vertical_rescaler(d) { let region = d.data.region; // Upper left if (region == 'W') { let scaler = d3 .scaleLinear() .domain([-0.25 * div_height, 0.25 * div_height]) .range([div_height - game_height / 2, -game_height / 2]); return scaler(d.x); } // Upper right else if (region == 'X') { let scaler = d3 .scaleLinear() .domain([0, 0.5 * div_height]) .range([div_height - game_height / 2, -game_height / 2]); return scaler(d.x); } // Lower left else if (region == 'Y') { let scaler = d3 .scaleLinear() .domain([div_height * 0.5, div_height]) .range([div_height - game_height / 2, -game_height / 2]); return scaler(d.x); } // Lower right else if (region == 'Z') { let scaler = d3 .scaleLinear() .domain([div_height * 0.75, 1.25 * div_height]) .range([div_height - game_height / 2, -game_height / 2]); return scaler(d.x); } else if (region == 'WX') { return 0.4 * div_height; } else if (region == 'YZ') { return 0.6 * div_height; } else if (region == 'CH') { return 0.5 * div_height; } }3d:T24fa,tourney = { // Start with a basic nested JSON tree down // to the regional finals. let tourney = { region: "CH", round: 6, expected_seeds: [1, 1], children: [ { region: "WX", round: 5, expected_seeds: [1, 1], children: [ { region: "W", round: 4, expected_seeds: [1, 2] }, { region: "X", round: 4, expected_seeds: [1, 2] } ] }, { region: "YZ", round: 5, expected_seeds: [1, 1], children: [ { region: "Y", round: 4, expected_seeds: [1, 2] }, { region: "Z", round: 4, expected_seeds: [1, 2] } ] } ] }; // Now we'll just use a basic tree-traversal technique // to continue down to round 1 // let game_cnt = 1; let stack = [ tourney.children[0].children[0], tourney.children[0].children[1], tourney.children[1].children[0], tourney.children[1].children[1] ]; while (stack.length > 0) { let node = stack.pop(); let high_seed = node.expected_seeds[0]; let new_low_seed = 2 ** (5 - node.round + 1) - high_seed + 1; let child0 = { region: node.region, expected_seeds: [high_seed, new_low_seed], round: node.round - 1 }; let low_seed = node.expected_seeds[1]; let lower_seed = 2 ** (5 - node.round + 1) - low_seed + 1; let child1 = { region: node.region, expected_seeds: [lower_seed, low_seed], round: node.round - 1 }; node.children = [child0, child1]; // If round > 2, then we'll just push both // new empty nodes to the stack. We don't yet // know whose playing in those games. if (node.round > 2) { stack.push(child0); stack.push(child1); } // If round == 2, then the children will be in round 1 // so we can look up the game result. else { Object.assign(child0, round1_info(child0)); Object.assign(child1, round1_info(child1)); } } // At this point, the tree structure of the tournament is // constructed but we need to re-traverse to get game results. // More long and complicated than it needs to be since choosing // "winners" depends on projection and projection_type. Probably // need to consolidate code into some resuable functions. stack = [tourney]; while (stack.length > 0) { let node = stack.pop(); if (node.visits == 1) { node.visits = 2; } else { node.visits = 1; } let [child0, child1] = node.children; let team0, team1; if (child0.WTeam && child0.WTeam.win) { team0 = Object.assign({}, child0.WTeam); delete team0.win; delete team0.score; team0.pos = get_pos(team0.seed, node.round, team0.slot[0]); node.WTeam = team0; // Arbitrary, for now } if (child1.WTeam && child1.WTeam.win) { team1 = Object.assign({}, child1.WTeam); delete team1.win; delete team1.score; team1.pos = get_pos(team1.seed, node.round, team1.slot[0]); node.LTeam = team1; // Arbitrary, for now } // Traversing for final time to get results. if (team0 && team1) { if (projection == "None") { let scores = get_scores(team0.TeamID, team1.TeamID); team0.score = scores[0]; team1.score = scores[1]; let wTeam, lTeam; if (team0.score > team1.score) { team0.win = true; node.WTeam = team0; node.LTeam = team1; node.played = true; node.projected = false; } else if (team0.score < team1.score) { team1.win = true; node.WTeam = team1; node.LTeam = team0; node.played = true; node.projected = false; } else { node.played = false; node.projected = false; } } else if (projection == "From current" && projection_type == "Best") { let scores = get_scores(team0.TeamID, team1.TeamID); if (scores[0] != 0) { team0.score = scores[0]; team1.score = scores[1]; node.played = true; node.projected = false; let wTeam, lTeam; if (team0.score > team1.score) { team0.win = true; node.WTeam = team0; node.LTeam = team1; } else if (team0.score < team1.score) { team1.win = true; node.WTeam = team1; node.LTeam = team0; } } else { let pab = get_predicted_probability(team0.TeamID, team1.TeamID); node.played = false; node.projected = true; let wTeam, lTeam; if (pab < 0.5) { team1.win = true; node.WTeam = team1; node.LTeam = team0; node.WTeam.score = Math.ceil(100 * (1 - pab)); node.LTeam.score = Math.floor(100 * pab); } else if (pab > 0.5) { team0.win = true; node.WTeam = team0; node.LTeam = team1; node.WTeam.score = Math.ceil(100 * pab); node.LTeam.score = Math.floor(100 * (1 - pab)); } else { if (team0.TeamID > team1.TeamID) { team0.win = true; node.WTeam = team0; node.WTeam.score = 50; node.LTeam = team1; node.LTeam.score = 50; } else { team1.win = true; node.WTeam = team1; node.WTeam.score = 50; node.LTeam = team0; node.LTeam.score = 50; } } } } else if (projection == "From beginning" && projection_type == "Best") { let pab = get_predicted_probability(team0.TeamID, team1.TeamID); node.played = false; node.projected = true; let wTeam, lTeam; if (pab < 0.5) { team1.win = true; node.WTeam = team1; node.LTeam = team0; node.WTeam.score = Math.ceil(100 * (1 - pab)); node.LTeam.score = Math.floor(100 * pab); } else if (pab > 0.5) { team0.win = true; node.WTeam = team0; node.WTeam.score = Math.ceil(100 * pab); node.LTeam = team1; node.LTeam.score = Math.floor(100 * (1 - pab)); } else { if (team0.TeamID > team1.TeamID) { team0.win = true; node.WTeam = team0; node.WTeam.score = 50; node.LTeam = team1; node.LTeam.score = 50; } else { team1.win = true; node.WTeam = team1; node.WTeam.score = 50; node.LTeam = team0; node.LTeam.score = 50; } } } else if (projection == "From current" && projection_type == "Worst") { let scores = get_scores(team0.TeamID, team1.TeamID); if (scores[0] != 0) { team0.score = scores[0]; team1.score = scores[1]; let wTeam, lTeam; node.played = true; node.projected = false; if (team0.score > team1.score) { team0.win = true; node.WTeam = team0; node.LTeam = team1; } else if (team0.score < team1.score) { team1.win = true; node.WTeam = team1; node.LTeam = team0; } } else { let pab = get_predicted_probability(team0.TeamID, team1.TeamID); node.played = false; node.projected = true; let wTeam, lTeam; if (pab > 0.5) { team1.win = true; node.WTeam = team1; node.LTeam = team0; node.WTeam.score = Math.ceil(100 * (1 - pab)); node.LTeam.score = Math.floor(100 * pab); } else if (pab < 0.5) { team0.win = true; node.WTeam = team0; node.LTeam = team1; node.WTeam.score = Math.ceil(100 * pab); node.LTeam.score = Math.floor(100 * (1 - pab)); } } } else if (projection == "From beginning" && projection_type == "Worst") { let pab = get_predicted_probability(team0.TeamID, team1.TeamID); node.played = false; node.projected = true; let wTeam, lTeam; if (pab > 0.5) { team1.win = true; node.WTeam = team1; node.LTeam = team0; node.WTeam.score = Math.ceil(100 * (1 - pab)); node.LTeam.score = Math.floor(100 * pab); } else if (pab < 0.5) { team0.win = true; node.WTeam = team0; node.LTeam = team1; node.WTeam.score = Math.ceil(100 * pab); node.LTeam.score = Math.floor(100 * (1 - pab)); } else { if (team0.TeamID < team1.TeamID) { team0.win = true; node.WTeam = team0; node.WTeam.score = 50; node.LTeam = team1; node.LTeam.score = 50; } else { team1.win = true; node.WTeam = team1; node.WTeam.score = 50; node.LTeam = team0; node.LTeam.score = 50; } } } } if (node.visits == 1) { stack.push(node); if (node.round > 2) { stack.push(child0); stack.push(child1); } } } return tourney; }3e:T1254,// The info that we need for round 1 function round1_info(o) { let team0 = get_team(o.region, o.expected_seeds[0]); let team1 = get_team(o.region, o.expected_seeds[1]); let scores = get_scores(team0.TeamID, team1.TeamID); let played, projected; team0.score = scores[0]; team0.pos = get_pos(team0.seed, 1); team1.score = scores[1]; team1.pos = get_pos(team1.seed, 1); let wTeam, lTeam; if (projection == "None") { projected = false; if (team0.score > team1.score) { wTeam = team0; wTeam.win = true; lTeam = team1; played = true; } else if (team0.score < team1.score) { wTeam = team1; wTeam.win = true; lTeam = team0; played = true; } else { wTeam = team0; wTeam.win = false; lTeam = team1; played = false; } } else if (projection == "From current" && projection_type == "Best") { let pab = get_predicted_probability(team0.TeamID, team1.TeamID); if (team0.score > team1.score) { wTeam = team0; lTeam = team1; wTeam.win = true; played = true; projected = false; } else if (team0.score < team1.score) { wTeam = team1; lTeam = team0; wTeam.win = true; played = true; projected = false; } else if (pab < 0.5) { wTeam = team1; lTeam = team0; wTeam.win = true; wTeam.score = Math.ceil(100 * (1 - pab)); lTeam.score = Math.ceil(100 * pab); played = false; projected = true; } else if (pab > 0.5) { wTeam = team0; lTeam = team1; wTeam.win = true; wTeam.score = Math.ceil(100 * pab); lTeam.score = Math.ceil(100 * (1 - pab)); played = false; projected = true; } else { wTeam = team0.TeamID > team1.TeamID ? team0 : team1; lTeam = team1.TeamID > team0.TeamID ? team0 : team1; wTeam.win = true; wTeam.score = 50; lTeam.score = 50; played = false; projected = true; } } else if (projection == "From beginning" && projection_type == "Best") { played = false; projected = true; let pab = get_predicted_probability(team0.TeamID, team1.TeamID); if (pab < 0.5) { wTeam = team1; lTeam = team0; wTeam.win = true; wTeam.score = Math.ceil(100 * (1 - pab)); lTeam.score = Math.ceil(100 * pab); } else if (pab > 0.5) { wTeam = team0; lTeam = team1; wTeam.win = true; wTeam.score = Math.ceil(100 * pab); lTeam.score = Math.ceil(100 * (1 - pab)); } else { wTeam = team0.TeamID > team1.TeamID ? team0 : team1; lTeam = team1.TeamID > team0.TeamID ? team0 : team1; wTeam.win = true; wTeam.score = 50; lTeam.score = 50; } } else if (projection == "From current" && projection_type == "Worst") { let pab = get_predicted_probability(team0.TeamID, team1.TeamID); if (team0.score > team1.score) { wTeam = team0; wTeam.win = true; lTeam = team1; played = true; projected = false; } else if (team0.score < team1.score) { wTeam = team1; wTeam.win = true; lTeam = team0; played = true; projected = false; } else if (pab > 0.5) { wTeam = team1; wTeam.win = true; lTeam = team0; wTeam.score = Math.ceil(100 * (1 - pab)); lTeam.score = Math.ceil(100 * pab); played = false; projected = true; } else if (pab < 0.5) { wTeam = team0; wTeam.win = true; lTeam = team1; wTeam.score = Math.ceil(100 * pab); lTeam.score = Math.ceil(100 * (1 - pab)); played = false; projected = true; } else { wTeam = team0.TeamID < team1.TeamID ? team0 : team1; lTeam = team1.TeamID < team0.TeamID ? team0 : team1; wTeam.win = true; wTeam.score = 50; lTeam.score = 50; } } else if (projection == "From beginning" && projection_type == "Worst") { played = false; projected = true; let pab = get_predicted_probability(team0.TeamID, team1.TeamID); if (pab > 0.5) { wTeam = team1; wTeam.win = true; lTeam = team0; wTeam.score = Math.ceil(100 * (1 - pab)); lTeam.score = Math.ceil(100 * pab); } else if (pab < 0.5) { wTeam = team0; wTeam.win = true; lTeam = team1; wTeam.score = Math.ceil(100 * pab); lTeam.score = Math.ceil(100 * (1 - pab)); } else { wTeam = team0.TeamID < team1.TeamID ? team0 : team1; lTeam = team1.TeamID < team0.TeamID ? team0 : team1; wTeam.win = true; wTeam.score = 50; lTeam.score = 50; } } return { WTeam: wTeam, LTeam: lTeam, played, projected, log_loss }; }3f:T405,// Get the place of a team in a game_container on either the top or bottom // as a function of its seed and round. // It's a kinda fun fact that the position can be computed as a function of // the binary expansion of the seed-1 and the round number. function get_pos(seed, round, region) { let s; if (typeof seed == 'number') { s = seed; } else { s = parseInt(seed.slice(1, 3)); } if (round <= 4) { let n; if (s % 2 == 1) { n = (s - 1) / 2; } else { n = 16 - s / 2; } let bits = n.toString(2).padStart(4, '0'); let bit = bits[round - 1]; if (bit == '0') { return 'top'; } else { return 'bot'; } } else { if ((region == 'W' || region == 'Y') && round == 5) { return 'top'; } else if ((region == 'X' || region == 'Z') && round == 5) { return 'bot'; } else if ((region == 'W' || region == 'X') && round == 6) { return 'top'; } else if ((region == 'Z' || region == 'Y') && round == 6) { return 'bot'; } } }40:Tfec,// Look up a team based on its region and seed function get_team(region, expected_seed) { let slot, teamID, teamName, teamNames; let playin = false; if (expected_seed < 10) { slot = region + "0" + expected_seed.toString(); } else { slot = region + expected_seed.toString(); } let seed = seeds[display].map((d) => d.Seed).indexOf(slot); if (seed > -1) { teamID = seeds[display][seed].TeamID; teamName = team_map.get(teamID); } // The data expresses round 1 seeds mostly just as you'd expect. // In the case of a play-in game, there's an 'a' or 'b' appended to // the two seeds you'd expect to find. Thus, if we didn't find the // seed above that means we've got a play-in game. We'll display // just the winner but include the results of the playin via a tooltip. else { let seeda = seeds[display].map((d) => d.Seed).indexOf(slot + "a"); let seedb = seeds[display].map((d) => d.Seed).indexOf(slot + "b"); if (seeda > -1) { let playin_opponentID, playin_opponent_name, playin_opponent_score, score; let teamIDa = seeds[display][seeda].TeamID; let teamNamea = team_map.get(teamIDa); let teamIDb = seeds[display][seedb].TeamID; let teamNameb = team_map.get(teamIDb); if (projection == "None" || projection == "From current") { let scores = get_scores(teamIDa, teamIDb); if (scores[0] < scores[1]) { teamName = teamNameb; teamID = teamIDb; score = scores[1]; playin_opponentID = teamIDa; playin_opponent_name = teamNamea; playin_opponent_score = scores[0]; } else if (scores[0] > scores[1]) { teamName = teamNamea; teamID = teamIDa; score = scores[0]; playin_opponentID = teamIDb; playin_opponent_name = teamNameb; playin_opponent_score = scores[1]; } else { teamName = teamNamea; score = 0; playin_opponent_name = teamNameb; playin_opponent_score = 0; playin_opponentID = teamIDb; if (projection == "None") { teamNames = teamNamea + "/" + teamNameb; } } if (projection == "From current" && scores[0] == 0) { let pab = get_predicted_probability(teamIDa, teamIDb); if ( (pab < 0.5 && projection_type == "Best") || (pab > 0.5 && projection_type == "Worst") ) { teamName = teamNameb; teamID = teamIDb; score = Math.ceil(100 * (1 - pab)); playin_opponentID = teamIDa; playin_opponent_name = teamNamea; playin_opponent_score = 100 - score; } else { teamName = teamNamea; teamID = teamIDa; score = Math.ceil(100 * pab); playin_opponentID = teamIDb; playin_opponent_name = teamNameb; playin_opponent_score = 100 - score; } } } else { let pab = get_predicted_probability(teamIDa, teamIDb); if ( (pab < 0.5 && projection_type == "Best") || (pab > 0.5 && projection_type == "Worst") ) { teamName = teamNameb; teamID = teamIDb; score = Math.ceil(100 * (1 - pab)); playin_opponentID = teamIDa; playin_opponent_name = teamNamea; playin_opponent_score = 100 - score; } else { teamName = teamNamea; teamID = teamIDa; score = Math.ceil(100 * pab); playin_opponentID = teamIDb; playin_opponent_name = teamNameb; playin_opponent_score = 100 - score; } } playin = { score: score, teamID: teamIDa, playin_opponentID: playin_opponentID, playin_opponent_name: playin_opponent_name, playin_opponent_score: playin_opponent_score }; } } return { TeamName: teamName, TeamNames: teamNames, TeamID: teamID, seed: expected_seed, slot: slot, playin: playin }; }41:T4b0,async function set_setup(csv_file) { let p = csv_file.search("\n"); let header = csv_file.slice(0, p).toLowerCase(); csv_file = header + csv_file.slice(p); let predictions = await d3.csvParse(csv_file); let mpredictions = predictions .filter((o) => o.id[5] == 1) .filter(function (o) { let [seed1, seed2] = o.id.split("_").slice(1); return mseed_ids.indexOf(seed1) > -1 && mseed_ids.indexOf(seed2) > -1; }); let wpredictions = predictions .filter((o) => o.id[5] == 3) .filter(function (o) { let [seed1, seed2] = o.id.split("_").slice(1); return wseed_ids.indexOf(seed1) > -1 && wseed_ids.indexOf(seed2) > -1; }); let all_predictions = mpredictions.concat(wpredictions); predictions = { Men: mpredictions, Women: wpredictions, all_predictions }; console.log(predictions); // let year = parseInt(predictions[0].id.slice(0, 4)); mutable setup = { men_or_women: display, // year: year, predictions: predictions, all_predictions }; d3.select(viewof projection_type) .selectAll("input") .property("disabled", false); d3.select(viewof projection) .selectAll("input") .property("disabled", false); }42:T485,styles = html` `43:[{"id":"3a201b34bbb660b5f9d2cebb59e2375710b6ba4cd3af9c621273809fa9ac258c916540505585a31cbaa87c644656c2778bf5ad0039974f15ca0e5d24a8c10007","href":"https://static.observableusercontent.com/files/3a201b34bbb660b5f9d2cebb59e2375710b6ba4cd3af9c621273809fa9ac258c916540505585a31cbaa87c644656c2778bf5ad0039974f15ca0e5d24a8c10007","name":"MTeams.csv","type":"text/csv","lastModified":1615845001342.225,"size":9676},{"id":"2343c34f71a68388b057661e45b8c52a60cd9ba1ea937ed01cdc62012d1549bce584e779f4cad676f990896b76cde74be2b379526eb37f6865ed50f2b9958fc0","href":"https://static.observableusercontent.com/files/2343c34f71a68388b057661e45b8c52a60cd9ba1ea937ed01cdc62012d1549bce584e779f4cad676f990896b76cde74be2b379526eb37f6865ed50f2b9958fc0","name":"WTeams.csv","type":"text/csv","lastModified":1615845001342.225,"size":5955},{"id":"8095b7c068f01bb81c9f9d3048d21bc238336acfa42bdaa9b015863748786407d8afa17de1c6929c01eef03c9d95684d389ddc2d6d697c0a39c35414c3f5abc5","href":"https://static.observableusercontent.com/files/8095b7c068f01bb81c9f9d3048d21bc238336acfa42bdaa9b015863748786407d8afa17de1c6929c01eef03c9d95684d389ddc2d6d697c0a39c35414c3f5abc5","name":"WNCAATourneyCompactResults@55.csv","type":"text/csv","lastModified":1648295948250.863,"size":44962},{"id":"51017e8ea1f8593dec29ca2b12bd6c44c76565bc4a32b327f5ad1dcbdf2d38b7666dbddd026aad951213ac5cf1e241eb6d8aae03693079e6db0f50838f1b3175","href":"https://static.observableusercontent.com/files/51017e8ea1f8593dec29ca2b12bd6c44c76565bc4a32b327f5ad1dcbdf2d38b7666dbddd026aad951213ac5cf1e241eb6d8aae03693079e6db0f50838f1b3175","name":"MNCAATourneyCompactResults@83.csv","type":"text/csv","lastModified":1648295948250.863,"size":70881},{"id":"f095577d00d46a6d4fff7ed1a3a5cc4404d1e634c218a03d53a9f088e910e8206068a015a6e3ce3754881dd46d7cb05ca7dc6fcb4968db29b1fd8f2ef0490293","href":"https://static.observableusercontent.com/files/f095577d00d46a6d4fff7ed1a3a5cc4404d1e634c218a03d53a9f088e910e8206068a015a6e3ce3754881dd46d7cb05ca7dc6fcb4968db29b1fd8f2ef0490293","name":"MNCAATourneyCompactResults@5.csv","type":"text/csv","lastModified":1616115883216.597,"size":67740},{"id":"c510621d3eb179b059f1bfbdf9205229c6d0bcf481a9872fe5ec4d99ae1d641df5c22e25d3f14b809ed4f42276704f57c7514f7ee92601d11385e45606c18bf2","href":"https://static.observableusercontent.com/files/c510621d3eb179b059f1bfbdf9205229c6d0bcf481a9872fe5ec4d99ae1d641df5c22e25d3f14b809ed4f42276704f57c7514f7ee92601d11385e45606c18bf2","name":"MNCAATourneyCompactResults@6.csv","type":"text/csv","lastModified":1616162672399.948,"size":67792},{"id":"e87677a22fb48ee6aa280d5a405dfac5ae5b67a3dcffa7d7b8ae4e298d10ebbc42d7d3f5d12ba4022344515b0f5f014aea5fd3e76207bb55cdaff1dff83db5b5","href":"https://static.observableusercontent.com/files/e87677a22fb48ee6aa280d5a405dfac5ae5b67a3dcffa7d7b8ae4e298d10ebbc42d7d3f5d12ba4022344515b0f5f014aea5fd3e76207bb55cdaff1dff83db5b5","name":"MNCAATourneyCompactResults@8.csv","type":"text/csv","lastModified":1616163177894.674,"size":67796},{"id":"1c0208f356484f3c05b88f479fa45a869f8bb923eb39263220497019d6e6490af71fc3a80e194cb0c4dffbfcc8a3c1f6f31ea5582b6af98ec7918203e73a216f","href":"https://static.observableusercontent.com/files/1c0208f356484f3c05b88f479fa45a869f8bb923eb39263220497019d6e6490af71fc3a80e194cb0c4dffbfcc8a3c1f6f31ea5582b6af98ec7918203e73a216f","name":"myM2019submission.csv","type":"text/csv","lastModified":1616193413980.051,"size":57924},{"id":"df72536147191e3391d7258d8f69a3d51b82a382ad45dc965cd6b32553c92f3eb9a29bc53221c44ac10c7e814ba9ff685f1a12013ff8d29af05f2025d994c2e0","href":"https://static.observableusercontent.com/files/df72536147191e3391d7258d8f69a3d51b82a382ad45dc965cd6b32553c92f3eb9a29bc53221c44ac10c7e814ba9ff685f1a12013ff8d29af05f2025d994c2e0","name":"MNCAATourneyCompactResults@23.csv","type":"text/csv","lastModified":1616206726407.042,"size":68108},{"id":"c6db78973d160dd29cf524c7f155f20295bda41d75addcc21a8aa1f36acd4db063a2c74f2a7a0fc07163703a69e6fb86e21a592ca6664966a939075830c67012","href":"https://static.observableusercontent.com/files/c6db78973d160dd29cf524c7f155f20295bda41d75addcc21a8aa1f36acd4db063a2c74f2a7a0fc07163703a69e6fb86e21a592ca6664966a939075830c67012","name":"MNCAATourneyCompactResults@24.csv","type":"text/csv","lastModified":1616211059243.057,"size":68133},{"id":"626bd608803cf70b9b6c650a064df54fd3eac0d1ce063c75831976f9a6fc4aff54005e685bb134098027265bca2819e4e1a5b6b4a43fa46f684de87458a4f7d4","href":"https://static.observableusercontent.com/files/626bd608803cf70b9b6c650a064df54fd3eac0d1ce063c75831976f9a6fc4aff54005e685bb134098027265bca2819e4e1a5b6b4a43fa46f684de87458a4f7d4","name":"MNCAATourneyCompactResults@26.csv","type":"text/csv","lastModified":1616234592452.264,"size":68208},{"id":"d81c186bdc3ebb7092d96e1296c10869995d44181821b1faab3024842491d8b83cbe66c9455427831c1548fa113b3e222179d606a83f351c36db83224d72783f","href":"https://static.observableusercontent.com/files/d81c186bdc3ebb7092d96e1296c10869995d44181821b1faab3024842491d8b83cbe66c9455427831c1548fa113b3e222179d606a83f351c36db83224d72783f","name":"WNCAATourneyCompactResults@27.csv","type":"text/csv","lastModified":1617409621557.234,"size":43195},{"id":"ad222030275e3deaa8acdb45c4487f7fab0682f079c4f22bd0463fa549262771f2c49c68fbdb0466b0a93067f9ae7517836f76efbf0534d87a8d6a9c1cb64780","href":"https://static.observableusercontent.com/files/ad222030275e3deaa8acdb45c4487f7fab0682f079c4f22bd0463fa549262771f2c49c68fbdb0466b0a93067f9ae7517836f76efbf0534d87a8d6a9c1cb64780","name":"MNCAATourneyCompactResults@27.csv","type":"text/csv","lastModified":1616284553536.311,"size":68408},{"id":"2cc659eddc8190ec826dbe14bb654aeb5b4bf057c271049a68ee9ffa00dc64fc4567ef2c8069002ee71fb60ae15de82ffc748b83605d9b34d8ec6a632f4a0903","href":"https://static.observableusercontent.com/files/2cc659eddc8190ec826dbe14bb654aeb5b4bf057c271049a68ee9ffa00dc64fc4567ef2c8069002ee71fb60ae15de82ffc748b83605d9b34d8ec6a632f4a0903","name":"MNCAATourneyCompactResults@29.csv","type":"text/csv","lastModified":1616287310893,"size":68456},{"id":"7f3fef9f3cbb139d32886901be6aab4d5a2f58054558ddd22e9a3dffdc4d98c990b719c20de482ccefa55f0e217fdfe8557a7c521364187bb807df9e295bef83","href":"https://static.observableusercontent.com/files/7f3fef9f3cbb139d32886901be6aab4d5a2f58054558ddd22e9a3dffdc4d98c990b719c20de482ccefa55f0e217fdfe8557a7c521364187bb807df9e295bef83","name":"MNCAATourneyCompactResults@31.csv","type":"text/csv","lastModified":1616290630615.022,"size":68531},{"id":"db5b722971dc2c8ed92eea965e0ad9dd1c8af687a6efc7240bf5bff420e2bd9c9dfa87c7d43cae230eea4ce673131512246b199ef2362d446b15019233dadad5","href":"https://static.observableusercontent.com/files/db5b722971dc2c8ed92eea965e0ad9dd1c8af687a6efc7240bf5bff420e2bd9c9dfa87c7d43cae230eea4ce673131512246b199ef2362d446b15019233dadad5","name":"MNCAATourneyCompactResults@28.csv","type":"text/csv","lastModified":1616284717095.043,"size":68431},{"id":"e538004990cfae812b9a5fc152a9877db636312df0e0a50567522d32934560d2733b0794d44b6e4b4922cb5531cb6e2a5f2afc46d1203b1127c6a3696af18046","href":"https://static.observableusercontent.com/files/e538004990cfae812b9a5fc152a9877db636312df0e0a50567522d32934560d2733b0794d44b6e4b4922cb5531cb6e2a5f2afc46d1203b1127c6a3696af18046","name":"MNCAATourneyCompactResults@33.csv","type":"text/csv","lastModified":1616290928364.587,"size":68481},{"id":"11588a4e8fc6c0e7a15a63a3ac0f05fc83edcc0cb1084fa3c2c28ff5f05f3d62924fe88db56f19e9a6372686de757ad1da24716e0f8e4f8b5f701d1278d2fa5b","href":"https://static.observableusercontent.com/files/11588a4e8fc6c0e7a15a63a3ac0f05fc83edcc0cb1084fa3c2c28ff5f05f3d62924fe88db56f19e9a6372686de757ad1da24716e0f8e4f8b5f701d1278d2fa5b","name":"MNCAATourneyCompactResults@30.csv","type":"text/csv","lastModified":1616289784860.675,"size":68506},{"id":"868db87c4e06493a702b5742f3ea37fe87887f45e577d3fc9c34d65e30940a37a4d8812510d4dade0ed72d1b92b06defe1bb8e35661b4ee6e3fc5385a3b1d9d3","href":"https://static.observableusercontent.com/files/868db87c4e06493a702b5742f3ea37fe87887f45e577d3fc9c34d65e30940a37a4d8812510d4dade0ed72d1b92b06defe1bb8e35661b4ee6e3fc5385a3b1d9d3","name":"MNCAATourneyCompactResults@38.csv","type":"text/csv","lastModified":1616321614515.005,"size":68606},{"id":"7059d018e2d3f87771f4716fb49fb8e8a77ad0ed371167ece2b289725cda8a8783c41467797373754ce6c9b15fef25c9d08a9380a92f583b6045b7ecee7963bb","href":"https://static.observableusercontent.com/files/7059d018e2d3f87771f4716fb49fb8e8a77ad0ed371167ece2b289725cda8a8783c41467797373754ce6c9b15fef25c9d08a9380a92f583b6045b7ecee7963bb","name":"WNCAATourneyCompactResults@25.csv","type":"text/csv","lastModified":1617075457622.396,"size":43120},{"id":"79373a34c15e3db88c007a0bcb7ce9d1734d523cc796ed45e4e3662ecfff6439f75f6e8c64eb9219cf070e55d18b73c214208e63f453f960dae1630d402412a9","href":"https://static.observableusercontent.com/files/79373a34c15e3db88c007a0bcb7ce9d1734d523cc796ed45e4e3662ecfff6439f75f6e8c64eb9219cf070e55d18b73c214208e63f453f960dae1630d402412a9","name":"WNCAATourneyCompactResults@2.csv","type":"text/csv","lastModified":1616362898834.335,"size":41817},{"id":"34a257923bb6906ed29012789b45b9cc564f54c5094103b47c5d4ad1b77a79b845eaa940cf814791886037f304625d13190ce0e6b5bbe5c329a05758a5247826","href":"https://static.observableusercontent.com/files/34a257923bb6906ed29012789b45b9cc564f54c5094103b47c5d4ad1b77a79b845eaa940cf814791886037f304625d13190ce0e6b5bbe5c329a05758a5247826","name":"MNCAATourneyCompactResults@40.csv","type":"text/csv","lastModified":1616363018147.235,"size":68656},{"id":"5876f1d89974c9be0d48998b082d78cff4ee34339bf8dfafb66e189640570caf02fac10d2ccce3ac094bc96436f711d25c3b06e1e1777a55f3cca1eb704c6726","href":"https://static.observableusercontent.com/files/5876f1d89974c9be0d48998b082d78cff4ee34339bf8dfafb66e189640570caf02fac10d2ccce3ac094bc96436f711d25c3b06e1e1777a55f3cca1eb704c6726","name":"WNCAATourneyCompactResults@4.csv","type":"text/csv","lastModified":1616372878122.832,"size":41943},{"id":"411d26bbe9c504fd3c7e1df783062eea61fac84cb82e6fd51fa169e30f4193b2be8005b721caba27ee50f9b8d09297ca0ce05b1aa5a7a1fd1562e726e52bedbb","href":"https://static.observableusercontent.com/files/411d26bbe9c504fd3c7e1df783062eea61fac84cb82e6fd51fa169e30f4193b2be8005b721caba27ee50f9b8d09297ca0ce05b1aa5a7a1fd1562e726e52bedbb","name":"MNCAATourneyCompactResults@41.csv","type":"text/csv","lastModified":1616369184199.419,"size":68681},{"id":"809eb538caebcf8353e88c132ce5aa07e1bfe1b5077290a2229ab61a3ac57ef6e5409b4ad69710dec43d185fb89b2cef7c756fe2f872a8fa10758b5823788512","href":"https://static.observableusercontent.com/files/809eb538caebcf8353e88c132ce5aa07e1bfe1b5077290a2229ab61a3ac57ef6e5409b4ad69710dec43d185fb89b2cef7c756fe2f872a8fa10758b5823788512","name":"WNCAATourneyCompactResults@3.csv","type":"text/csv","lastModified":1616364901602.631,"size":41868},{"id":"000716168730cf3bad822b808683d61d5ea47d7b0dd903eedb7f8ca2bcd893518d5c741eef8694e87d998d8c045c4ec25aff4a3502ae7e44949adb8a6181b051","href":"https://static.observableusercontent.com/files/000716168730cf3bad822b808683d61d5ea47d7b0dd903eedb7f8ca2bcd893518d5c741eef8694e87d998d8c045c4ec25aff4a3502ae7e44949adb8a6181b051","name":"MNCAATourneyCompactResults@42.csv","type":"text/csv","lastModified":1616373097886.797,"size":68706},{"id":"bfcd2aacbb8e038e406a2ece6329244b339a8605b625510cde97e5b800a27237ebba6c9d951b4e3881e658f897bf3ee344dcdbc2e7338f6c08595cfe2b9baaf5","href":"https://static.observableusercontent.com/files/bfcd2aacbb8e038e406a2ece6329244b339a8605b625510cde97e5b800a27237ebba6c9d951b4e3881e658f897bf3ee344dcdbc2e7338f6c08595cfe2b9baaf5","name":"MNCAATourneyCompactResults@49.csv","type":"text/csv","lastModified":1616402131632.491,"size":68806},{"id":"64d5b669dd26824c5699eb93d8d4bf070dc41c2f391282c7ac290b7e1b880c9c05e9bac8e7994aa8842aa4890c47ab81804e1e1d864d826da086eb949f8aad43","href":"https://static.observableusercontent.com/files/64d5b669dd26824c5699eb93d8d4bf070dc41c2f391282c7ac290b7e1b880c9c05e9bac8e7994aa8842aa4890c47ab81804e1e1d864d826da086eb949f8aad43","name":"MNCAATourneyCompactResults@48.csv","type":"text/csv","lastModified":1616380828650.863,"size":68756},{"id":"23a7af16576466dcabf45fac67b3c077c8050c33e56189f651c63a15cf87533079e714e3cae1a28473de2557f57c5c1b8d48c15fe9ac1ef0a387328e70258380","href":"https://static.observableusercontent.com/files/23a7af16576466dcabf45fac67b3c077c8050c33e56189f651c63a15cf87533079e714e3cae1a28473de2557f57c5c1b8d48c15fe9ac1ef0a387328e70258380","name":"WNCAATourneyCompactResults@7.csv","type":"text/csv","lastModified":1616380869368.308,"size":42019},{"id":"97309b4cee98861c324f9f0549f134f4413a1bad40eba4cb1b9effa140ce215b808b14e7262eec745e3d4eaaca10fa2ae4005831e7dca79a45cb23a18aa0101c","href":"https://static.observableusercontent.com/files/97309b4cee98861c324f9f0549f134f4413a1bad40eba4cb1b9effa140ce215b808b14e7262eec745e3d4eaaca10fa2ae4005831e7dca79a45cb23a18aa0101c","name":"WNCAATourneyCompactResults@8.csv","type":"text/csv","lastModified":1616402361118.22,"size":42069},{"id":"353a049c54e26b076ea22ffa7b8f50537429fc0885fb16293d746318275ea94fb9e4b0f0977b7cbf7eb62dee1c176c1da7cb0ac8889b90b4225c9379c835d88e","href":"https://static.observableusercontent.com/files/353a049c54e26b076ea22ffa7b8f50537429fc0885fb16293d746318275ea94fb9e4b0f0977b7cbf7eb62dee1c176c1da7cb0ac8889b90b4225c9379c835d88e","name":"MNCAATourneyCompactResults@66.csv","type":"text/csv","lastModified":1617073562263.576,"size":69231},{"id":"14baa006a3cea22afd939d033b9abdcdeeeab571a6047259e91d536270fa40cb300ddd1720d7d38f74cf1b0a5208d2f4c6cbe91e44bf1d6ab1065cfe237e43be","href":"https://static.observableusercontent.com/files/14baa006a3cea22afd939d033b9abdcdeeeab571a6047259e91d536270fa40cb300ddd1720d7d38f74cf1b0a5208d2f4c6cbe91e44bf1d6ab1065cfe237e43be","name":"MNCAATourneyCompactResults@67.csv","type":"text/csv","lastModified":1617077548985.787,"size":69256},{"id":"24e9339fc370a6ec22e8251810bd8ac177de0028746cca9adfc44d228c614aa65bd25a7a36d947942175a7e71406cced4d65c025cd3940e08d358ec91ec1cdeb","href":"https://static.observableusercontent.com/files/24e9339fc370a6ec22e8251810bd8ac177de0028746cca9adfc44d228c614aa65bd25a7a36d947942175a7e71406cced4d65c025cd3940e08d358ec91ec1cdeb","name":"w2021SubmitWX.csv","type":"text/csv","lastModified":1616365515645.703,"size":50978},{"id":"64d5b669dd26824c5699eb93d8d4bf070dc41c2f391282c7ac290b7e1b880c9c05e9bac8e7994aa8842aa4890c47ab81804e1e1d864d826da086eb949f8aad43","href":"https://static.observableusercontent.com/files/64d5b669dd26824c5699eb93d8d4bf070dc41c2f391282c7ac290b7e1b880c9c05e9bac8e7994aa8842aa4890c47ab81804e1e1d864d826da086eb949f8aad43","name":"MNCAATourneyCompactResults@47.csv","type":"text/csv","lastModified":1616379089954.243,"size":68756},{"id":"44bd20274c14d23d8e595df0cef3c636c401bcf204fdd97a1fd30106e0fa50cfc44ee726b7eac9bef0b8c7f0fd0000bae824a77095ad428335929f096df6f682","href":"https://static.observableusercontent.com/files/44bd20274c14d23d8e595df0cef3c636c401bcf204fdd97a1fd30106e0fa50cfc44ee726b7eac9bef0b8c7f0fd0000bae824a77095ad428335929f096df6f682","name":"WNCAATourneyCompactResults@28.csv","type":"text/csv","lastModified":1617423939758.226,"size":43220},{"id":"f8928dae74d5064c9ce6c2a668e90cee1243b532976ee39e05524727d31a0d078da380646c61dcc95dc762dcdf3122ceedb4e9452f3a1a7b5c7497336063bbff","href":"https://static.observableusercontent.com/files/f8928dae74d5064c9ce6c2a668e90cee1243b532976ee39e05524727d31a0d078da380646c61dcc95dc762dcdf3122ceedb4e9452f3a1a7b5c7497336063bbff","name":"MNCAATourneyCompactResults@50.csv","type":"text/csv","lastModified":1616456104795.02,"size":68881},{"id":"c6537d108510d025acca52b9755881e25f7d086e91b5bc26be7404b8d6d3fcd86c54697b2df50cc947bf63bf9703429827b135e3e36d7f2a7fef7792dd3dd125","href":"https://static.observableusercontent.com/files/c6537d108510d025acca52b9755881e25f7d086e91b5bc26be7404b8d6d3fcd86c54697b2df50cc947bf63bf9703429827b135e3e36d7f2a7fef7792dd3dd125","name":"MNCAATourneyCompactResults@51.csv","type":"text/csv","lastModified":1616458537806.668,"size":68906},{"id":"93e61d3fc2c745f1482221685536710500cce0a43a189b2b46f0ffc9aebac64248158059fd896d4347f9a64b6b9447faf6574a99e2d59ffcf0cc2e8542c44455","href":"https://static.observableusercontent.com/files/93e61d3fc2c745f1482221685536710500cce0a43a189b2b46f0ffc9aebac64248158059fd896d4347f9a64b6b9447faf6574a99e2d59ffcf0cc2e8542c44455","name":"MNCAATourneyCompactResults@52.csv","type":"text/csv","lastModified":1616466717840.482,"size":68956},{"id":"341a7e3c2bf09ae947b6934bb8d6262b6a1bc6370283c69313833b1d696cfe78bfed3b03523857a20c239c7a98e8d69286c851370b125ae83235c2e342618098","href":"https://static.observableusercontent.com/files/341a7e3c2bf09ae947b6934bb8d6262b6a1bc6370283c69313833b1d696cfe78bfed3b03523857a20c239c7a98e8d69286c851370b125ae83235c2e342618098","name":"WNCAATourneyCompactResults@11.csv","type":"text/csv","lastModified":1616466441395.08,"size":42419},{"id":"bd9790ea9e7c77e524388b48630ea393534bfc3575f5771cd5fa9d439add1744ca0fb633d82d91fb277b53afc5fd79518b8d7eb5160c2e648da3fcd495280e57","href":"https://static.observableusercontent.com/files/bd9790ea9e7c77e524388b48630ea393534bfc3575f5771cd5fa9d439add1744ca0fb633d82d91fb277b53afc5fd79518b8d7eb5160c2e648da3fcd495280e57","name":"WNCAATourneyCompactResults@9.csv","type":"text/csv","lastModified":1616455635073.789,"size":42294},{"id":"cff902c7ed4d413771b0a2dc87aaf2dd187cebfc6a31f3a6f1b89f623b32d9b4f1855b0ea2e58bb0b5e8be16908fac28908c4983c05921d9a120badb0bb7aa4c","href":"https://static.observableusercontent.com/files/cff902c7ed4d413771b0a2dc87aaf2dd187cebfc6a31f3a6f1b89f623b32d9b4f1855b0ea2e58bb0b5e8be16908fac28908c4983c05921d9a120badb0bb7aa4c","name":"WNCAATourneyCompactResults@10.csv","type":"text/csv","lastModified":1616458806358.706,"size":42344},{"id":"b33bef820303d5ba549e77f4abdee80c7e9e009944636b83a4e630f2018f0ca8352555dc7d8675679f7576c49ba3da200d99390f40750b531f32b116de8263af","href":"https://static.observableusercontent.com/files/b33bef820303d5ba549e77f4abdee80c7e9e009944636b83a4e630f2018f0ca8352555dc7d8675679f7576c49ba3da200d99390f40750b531f32b116de8263af","name":"MNCAATourneyCompactResults@53.csv","type":"text/csv","lastModified":1616467573828.819,"size":68981},{"id":"311f92ccb61a5ccf06100cc997aff279d72a87e09d42c5b56e746c489d9ccc5cf24f966d71df2ac025d0ac27d0e04f590ffc8de483388270978a65e8186bf0e2","href":"https://static.observableusercontent.com/files/311f92ccb61a5ccf06100cc997aff279d72a87e09d42c5b56e746c489d9ccc5cf24f966d71df2ac025d0ac27d0e04f590ffc8de483388270978a65e8186bf0e2","name":"MNCAATourneyCompactResults@54.csv","type":"text/csv","lastModified":1616493777354.824,"size":69006},{"id":"a5206aca7e244c6e975416ce255410069f75588442283a3a4688da16628ce0445e9dc7c866756021066d02b8601879ea3712b9e091f1216cb09b1f25f7ff5521","href":"https://static.observableusercontent.com/files/a5206aca7e244c6e975416ce255410069f75588442283a3a4688da16628ce0445e9dc7c866756021066d02b8601879ea3712b9e091f1216cb09b1f25f7ff5521","name":"WNCAATourneyCompactResults@13.csv","type":"text/csv","lastModified":1616494330110.517,"size":42469},{"id":"311f92ccb61a5ccf06100cc997aff279d72a87e09d42c5b56e746c489d9ccc5cf24f966d71df2ac025d0ac27d0e04f590ffc8de483388270978a65e8186bf0e2","href":"https://static.observableusercontent.com/files/311f92ccb61a5ccf06100cc997aff279d72a87e09d42c5b56e746c489d9ccc5cf24f966d71df2ac025d0ac27d0e04f590ffc8de483388270978a65e8186bf0e2","name":"MNCAATourneyCompactResults@55.csv","type":"text/csv","lastModified":1616494416369.189,"size":69006},{"id":"fa6b8819af52c8f398a7d8ac6cf7830123c8d8019849161c420c6e4733c7b8ce0a835195d17c46686e9d5843a82782aa195793cb050236c390e2f95020340f40","href":"https://static.observableusercontent.com/files/fa6b8819af52c8f398a7d8ac6cf7830123c8d8019849161c420c6e4733c7b8ce0a835195d17c46686e9d5843a82782aa195793cb050236c390e2f95020340f40","name":"WNCAATourneyCompactResults@14.csv","type":"text/csv","lastModified":1616558368916.676,"size":42669},{"id":"226a3bfcad561de2b2d2b3755268989baeb76de51e85f871236ce18cf7c05ee8357c8ef6d5a84bbf7fc3076f2b91079bb73f0b79cf4f5f84d5423aa74d31fbdb","href":"https://static.observableusercontent.com/files/226a3bfcad561de2b2d2b3755268989baeb76de51e85f871236ce18cf7c05ee8357c8ef6d5a84bbf7fc3076f2b91079bb73f0b79cf4f5f84d5423aa74d31fbdb","name":"WNCAATourneyCompactResults@16.csv","type":"text/csv","lastModified":1616638884132.806,"size":42845},{"id":"3956dcc54365a64d6b1a6ab1762e3fbbc181270390277a6578eb049e259f19480d42beea89f760bd82a57495a95e95fc6b2c8bc1dbbb890a13f69083d8342916","href":"https://static.observableusercontent.com/files/3956dcc54365a64d6b1a6ab1762e3fbbc181270390277a6578eb049e259f19480d42beea89f760bd82a57495a95e95fc6b2c8bc1dbbb890a13f69083d8342916","name":"WNCAATourneyCompactResults@17.csv","type":"text/csv","lastModified":1616645396058.323,"size":42870},{"id":"8963a9d6c6d1141b3ed87551cd87ba01f07197ae13db772fb4405a76f9c2157d3e68faef6696f8f77144df1194900554fe719260c0ff051607ba08620042cdee","href":"https://static.observableusercontent.com/files/8963a9d6c6d1141b3ed87551cd87ba01f07197ae13db772fb4405a76f9c2157d3e68faef6696f8f77144df1194900554fe719260c0ff051607ba08620042cdee","name":"MNCAATourneyCompactResults@69.csv","type":"text/csv","lastModified":1617548410115.673,"size":69356},{"id":"1021047eae17fe0a5807fd51053ade51fa24263a929eedb6667e8804117d74a55e3a1e487de8693a9cf851815a5513247f989a3104145910f41d9775ad89b2ee","href":"https://static.observableusercontent.com/files/1021047eae17fe0a5807fd51053ade51fa24263a929eedb6667e8804117d74a55e3a1e487de8693a9cf851815a5513247f989a3104145910f41d9775ad89b2ee","name":"WNCAATourneyCompactResults@26.csv","type":"text/csv","lastModified":1617183419790.694,"size":43170},{"id":"d13b5d9dc709304071a0883961f00f25cbf8139e6fec228795bad2de5f87d27749fe8c05fdd43d180fd184c79bdbc0cd0ecdd9514d7d32e1433d465df055d4dd","href":"https://static.observableusercontent.com/files/d13b5d9dc709304071a0883961f00f25cbf8139e6fec228795bad2de5f87d27749fe8c05fdd43d180fd184c79bdbc0cd0ecdd9514d7d32e1433d465df055d4dd","name":"MNCAATourneyCompactResults@68.csv","type":"text/csv","lastModified":1617183592807.557,"size":69306},{"id":"5865af0f7b972f7cfe7e1bd4f0340c558f29caad5374e5bcfdaea0002858cd383ad4e91bba7a53ee0f1f1a0bcc1d5e442d598c0e8dfb5d0b72e0c2512df3dd74","href":"https://static.observableusercontent.com/files/5865af0f7b972f7cfe7e1bd4f0340c558f29caad5374e5bcfdaea0002858cd383ad4e91bba7a53ee0f1f1a0bcc1d5e442d598c0e8dfb5d0b72e0c2512df3dd74","name":"WNCAATourneyCompactResults@30.csv","type":"text/csv","lastModified":1617582267890.956,"size":43245},{"id":"81b7949472a9124374fd4f5bdc4ac93082b5fefae9c468a059bd6ea5b17632822a62fbb4ddaf1cdb42e94865476421a153fd833b01d3b64e1081bee9713cfc2c","href":"https://static.observableusercontent.com/files/81b7949472a9124374fd4f5bdc4ac93082b5fefae9c468a059bd6ea5b17632822a62fbb4ddaf1cdb42e94865476421a153fd833b01d3b64e1081bee9713cfc2c","name":"MNCAATourneyCompactResults@56.csv","type":"text/csv","lastModified":1616878715312.912,"size":69031},{"id":"d3b07e7e5add3fdf86d252c4c34be7346f768a709432fbf2c84f5f43023e681de3598e5284c6b2ee6f8104ed6caf6d7b8104f0228c60c3c54ac950dc687df879","href":"https://static.observableusercontent.com/files/d3b07e7e5add3fdf86d252c4c34be7346f768a709432fbf2c84f5f43023e681de3598e5284c6b2ee6f8104ed6caf6d7b8104f0228c60c3c54ac950dc687df879","name":"WNCAATourneyCompactResults@19.csv","type":"text/csv","lastModified":1616880073251.235,"size":42920},{"id":"0e9b32a335557abc1e5a2470ea7c3fb63439353f2dca50b8797a47f287027d3b3711baebb8379fb047dd4996a629cf915b9580382414bb5f6b679c2f0e616b8f","href":"https://static.observableusercontent.com/files/0e9b32a335557abc1e5a2470ea7c3fb63439353f2dca50b8797a47f287027d3b3711baebb8379fb047dd4996a629cf915b9580382414bb5f6b679c2f0e616b8f","name":"WNCAATourneyCompactResults@20.csv","type":"text/csv","lastModified":1616892495191.921,"size":42945},{"id":"b710e3897c5c7ab42833af01aabb6a491afd14c6c24e748162f876ffda1637d9263a1705d1c2ff17c474da63ec1260252c518b8f6beef554c4fbbc7195b6f4b5","href":"https://static.observableusercontent.com/files/b710e3897c5c7ab42833af01aabb6a491afd14c6c24e748162f876ffda1637d9263a1705d1c2ff17c474da63ec1260252c518b8f6beef554c4fbbc7195b6f4b5","name":"MNCAATourneyCompactResults@57.csv","type":"text/csv","lastModified":1616887888815.323,"size":69056},{"id":"c5f82f57d021b63987dcff7ff93ef7397aaf6aa0793401c552a32a3f6ab491a13c500a977959e1afdccd2819123b4657ed8a618387709c82436adec5c7fb3efc","href":"https://static.observableusercontent.com/files/c5f82f57d021b63987dcff7ff93ef7397aaf6aa0793401c552a32a3f6ab491a13c500a977959e1afdccd2819123b4657ed8a618387709c82436adec5c7fb3efc","name":"MNCAATourneyCompactResults@58.csv","type":"text/csv","lastModified":1616895327680.922,"size":69081},{"id":"f0c45f12957ea1657cacfb45968da691ae92fcbaa9126964d26970af74aed755cb3e2b7a9ef3b9a7cc1d9b9dc2c03045109f74e5fefd73e15e569ac19cfaf65c","href":"https://static.observableusercontent.com/files/f0c45f12957ea1657cacfb45968da691ae92fcbaa9126964d26970af74aed755cb3e2b7a9ef3b9a7cc1d9b9dc2c03045109f74e5fefd73e15e569ac19cfaf65c","name":"MNCAATourneyCompactResults@59.csv","type":"text/csv","lastModified":1616905983313.151,"size":69106},{"id":"9fe8c626c9f4ae955eb6629f70b46416c77113e25295975b5572f1aefa57876f1c35816644f8fcde7d5a3922fbef88c16e9c5ee5a4bc52c39d1f088b78b2810e","href":"https://static.observableusercontent.com/files/9fe8c626c9f4ae955eb6629f70b46416c77113e25295975b5572f1aefa57876f1c35816644f8fcde7d5a3922fbef88c16e9c5ee5a4bc52c39d1f088b78b2810e","name":"WNCAATourneyCompactResults@21.csv","type":"text/csv","lastModified":1616906128428.735,"size":42970},{"id":"98d96d95fde549e6318b5c4eeb844c12a5ada9cf50e81758ed4d6484a7fee753b2a405296077a3b704ddfaaa3fcdb473e28d09bdd9ccb33588807b9f30c2d039","href":"https://static.observableusercontent.com/files/98d96d95fde549e6318b5c4eeb844c12a5ada9cf50e81758ed4d6484a7fee753b2a405296077a3b704ddfaaa3fcdb473e28d09bdd9ccb33588807b9f30c2d039","name":"MNCAATourneyCompactResults@60.csv","type":"text/csv","lastModified":1616966876666.134,"size":69131},{"id":"9616e3abb56297e8762e6ed8f272d168d82dd07d1d6814c89b3278170fdb0ed6e2992574b59a56d2e0e6729d9dffa5f34ac9ae388239b6e99e72eba1bbd79c05","href":"https://static.observableusercontent.com/files/9616e3abb56297e8762e6ed8f272d168d82dd07d1d6814c89b3278170fdb0ed6e2992574b59a56d2e0e6729d9dffa5f34ac9ae388239b6e99e72eba1bbd79c05","name":"FilteredExpertsMedianSubmission.csv","type":"text/csv","lastModified":1679161087814.63,"size":108559},{"id":"9d29fadac9c3f62adefc3d4668ec642e533b6fe07322fa4b2f44719ea344cc6da54e9ee97a4a738d50b366fc963829b85532bef19ce73436cab875ea6e42ddb9","href":"https://static.observableusercontent.com/files/9d29fadac9c3f62adefc3d4668ec642e533b6fe07322fa4b2f44719ea344cc6da54e9ee97a4a738d50b366fc963829b85532bef19ce73436cab875ea6e42ddb9","name":"MNCAATourneySeeds@2.csv","type":"text/csv","lastModified":1679161087814.63,"size":37486},{"id":"b8c6d3f74e0ce56056dff10fc0c791cfb81ed7000f84e67c54637e5532c303cb41a5bf8c68df5bcff9239d53d78d9c9ecf459cd9102c979491bfb60f48918107","href":"https://static.observableusercontent.com/files/b8c6d3f74e0ce56056dff10fc0c791cfb81ed7000f84e67c54637e5532c303cb41a5bf8c68df5bcff9239d53d78d9c9ecf459cd9102c979491bfb60f48918107","name":"MTeams@1.csv","type":"text/csv","lastModified":1679161087814.63,"size":9959},{"id":"3336f0a80c618a02870d9b3212e2ab84beca5b54a43647e1eb7472f439d632cf660e42142f8458de79c89e2753da06e18bfbd32e73ce28fcbbbf6811220eb4f7","href":"https://static.observableusercontent.com/files/3336f0a80c618a02870d9b3212e2ab84beca5b54a43647e1eb7472f439d632cf660e42142f8458de79c89e2753da06e18bfbd32e73ce28fcbbbf6811220eb4f7","name":"WNCAATourneySeeds@3.csv","type":"text/csv","lastModified":1679161087814.63,"size":24156},{"id":"e76ee076f4b8572118e196543b1fec714c4ac0f765a0a4a191c8d1dd1ca6638337a8645e2f2c63d610a33e6c29320a68e11b36d2c54f4b2b9bd2e17c30e5a0ca","href":"https://static.observableusercontent.com/files/e76ee076f4b8572118e196543b1fec714c4ac0f765a0a4a191c8d1dd1ca6638337a8645e2f2c63d610a33e6c29320a68e11b36d2c54f4b2b9bd2e17c30e5a0ca","name":"WTeams@1.csv","type":"text/csv","lastModified":1679161087814.63,"size":6138},{"id":"a5d3bfaa525933b8a4a8522f31c113514f693a6c0ececfc0463cd4da0af8c001b3ce15580ed245c1c2b9de6896ab8a6fc2dd10a1afb5b56718c6bd2e5c48fbdd","href":"https://static.observableusercontent.com/files/a5d3bfaa525933b8a4a8522f31c113514f693a6c0ececfc0463cd4da0af8c001b3ce15580ed245c1c2b9de6896ab8a6fc2dd10a1afb5b56718c6bd2e5c48fbdd","name":"WNCAATourneyCompactResults@22.csv","type":"text/csv","lastModified":1616967057516.53,"size":43020},{"id":"684bc6061be17a0de1155b51fff3b7c06b6761deb168edb8e849af2aeba29b1e4ab4a3833229cc8f0e2f2102c4b3a6265ab836556b2bed87720966cd07676778","href":"https://static.observableusercontent.com/files/684bc6061be17a0de1155b51fff3b7c06b6761deb168edb8e849af2aeba29b1e4ab4a3833229cc8f0e2f2102c4b3a6265ab836556b2bed87720966cd07676778","name":"MNCAATourneyCompactResults@70.csv","type":"text/csv","lastModified":1617679997760.467,"size":69381},{"id":"3b69e51f66cb5ce64ddfa82c716e4a768dcb28d1d537db009d512bca55cd3dae28a85ab9cd3d4d3fe9b10a93d963c9a5d81f30e030fba4e860e7c00341f243d0","href":"https://static.observableusercontent.com/files/3b69e51f66cb5ce64ddfa82c716e4a768dcb28d1d537db009d512bca55cd3dae28a85ab9cd3d4d3fe9b10a93d963c9a5d81f30e030fba4e860e7c00341f243d0","name":"mSubmitYZ.csv","type":"text/csv","lastModified":1617680561448.612,"size":57924},{"id":"ca3897ab2a717a3f3e31caa4ecdbfd03136cd2aaaf009a24548bb049b8153ca211182e09978cdf188d34e94e63e4f2ab152d3e672c0352d2bd3a1a7ccc393cf5","href":"https://static.observableusercontent.com/files/ca3897ab2a717a3f3e31caa4ecdbfd03136cd2aaaf009a24548bb049b8153ca211182e09978cdf188d34e94e63e4f2ab152d3e672c0352d2bd3a1a7ccc393cf5","name":"MNCAATourneyCompactResults@62.csv","type":"text/csv","lastModified":1616976611746.361,"size":69156},{"id":"2419f94d7b6bb86a5ec9454e7f33d1d872843bc83e5d362d972ef0613bfa203402e1161806863ec1ca26767e070ef2802bc018e0b5f6a1c7defebd1c752ae6e4","href":"https://static.observableusercontent.com/files/2419f94d7b6bb86a5ec9454e7f33d1d872843bc83e5d362d972ef0613bfa203402e1161806863ec1ca26767e070ef2802bc018e0b5f6a1c7defebd1c752ae6e4","name":"W2021SecondPlace.csv","type":"text/csv","lastModified":1617710087137.272,"size":64841},{"id":"4714afed1ff667eed7401bc377c203785970e19cdb8e1a274b88facf75fdb1c5ee944d546c909e6b4a2cdf649c91dda98602fb053d0eeaf82e5d77d49c2895ca","href":"https://static.observableusercontent.com/files/4714afed1ff667eed7401bc377c203785970e19cdb8e1a274b88facf75fdb1c5ee944d546c909e6b4a2cdf649c91dda98602fb053d0eeaf82e5d77d49c2895ca","name":"MNCAATourneyCompactResults@63.csv","type":"text/csv","lastModified":1616982952488.36,"size":69181},{"id":"5191766e54909e5f41cf7dbb11115578ba5bada663e60222e11b846c979067dfc858fa7d8f91078ff881c7747b97649590164a4f26596ef2b4efef632919afa3","href":"https://static.observableusercontent.com/files/5191766e54909e5f41cf7dbb11115578ba5bada663e60222e11b846c979067dfc858fa7d8f91078ff881c7747b97649590164a4f26596ef2b4efef632919afa3","name":"WNCAATourneyCompactResults@23.csv","type":"text/csv","lastModified":1616983173957.227,"size":43045},{"id":"dbac677960d7ef8f20ac92c4b6cbd2cd33df87d4f4bc60ad41b4117e8cabf4d47a4d250c6f7f37e7e94a46149c701ffdd8fda4fb0a13a5ca5f4f8f448f5c0397","href":"https://static.observableusercontent.com/files/dbac677960d7ef8f20ac92c4b6cbd2cd33df87d4f4bc60ad41b4117e8cabf4d47a4d250c6f7f37e7e94a46149c701ffdd8fda4fb0a13a5ca5f4f8f448f5c0397","name":"WNCAATourneyCompactResults@24.csv","type":"text/csv","lastModified":1617010955515.922,"size":43070},{"id":"d9210c92dac0a8e46d6aca0db360db6f21adee0726f5edc7241374e86f1bd2381728afad87c5abebe27b4c1875114daa6ee5ca51e2c02f90e3e7560e8150ec76","href":"https://static.observableusercontent.com/files/d9210c92dac0a8e46d6aca0db360db6f21adee0726f5edc7241374e86f1bd2381728afad87c5abebe27b4c1875114daa6ee5ca51e2c02f90e3e7560e8150ec76","name":"MNCAATourneyCompactResults@65.csv","type":"text/csv","lastModified":1617010743461.071,"size":69206},{"id":"ea2650d5887842682b8b6c1f79dac1c0a67e169f222158ae8107ccfbcfdef2748deba49a1d99d37f6af1059e0563722bbaeac8372b0c28641885e37bfd0cea1e","href":"https://static.observableusercontent.com/files/ea2650d5887842682b8b6c1f79dac1c0a67e169f222158ae8107ccfbcfdef2748deba49a1d99d37f6af1059e0563722bbaeac8372b0c28641885e37bfd0cea1e","name":"myM2018submission.csv","type":"text/csv","lastModified":1615930322752.148,"size":68359},{"id":"e25b892ce8f38ebbab323d55dd98f0c471eaaf0bc58e4aafdab461adcb2ececb59facf8e44302bbbcd8024e646256cd8c14c465d296035d13d563c3d1368d9a2","href":"https://static.observableusercontent.com/files/e25b892ce8f38ebbab323d55dd98f0c471eaaf0bc58e4aafdab461adcb2ececb59facf8e44302bbbcd8024e646256cd8c14c465d296035d13d563c3d1368d9a2","name":"myW2019submission.csv","type":"text/csv","lastModified":1615930322749.664,"size":67955},{"id":"e59bacd225b6dc55ca80cbadec925b47bc400d1e7f3b08e17322137facf49782cd195ecf6ff25577b7dc6d322218684d479c7b460cff379b5931e3a3baece90d","href":"https://static.observableusercontent.com/files/e59bacd225b6dc55ca80cbadec925b47bc400d1e7f3b08e17322137facf49782cd195ecf6ff25577b7dc6d322218684d479c7b460cff379b5931e3a3baece90d","name":"Womens2019FirstPlace.csv","type":"text/csv","lastModified":1616032600043.016,"size":38600},{"id":"a094f527627587bed9ab90de3be6b16874cc40723784c4ff5cf1ebe98ac7da1c13c4b984ea7c4a18028c7dd95a60fc46f376ac05abbdce97394c2498b3a010ec","href":"https://static.observableusercontent.com/files/a094f527627587bed9ab90de3be6b16874cc40723784c4ff5cf1ebe98ac7da1c13c4b984ea7c4a18028c7dd95a60fc46f376ac05abbdce97394c2498b3a010ec","name":"Mens2019FifthPlace.csv","type":"text/csv","lastModified":1616031819070.771,"size":81980},{"id":"1bb7ffc23148b87d33700fc35b71cb4870572caf6b49ca59d1c2200462eeaf9af401b848c77d42f09570c560eda845207adf02b75adf9539e8fa6f02fee01e24","href":"https://static.observableusercontent.com/files/1bb7ffc23148b87d33700fc35b71cb4870572caf6b49ca59d1c2200462eeaf9af401b848c77d42f09570c560eda845207adf02b75adf9539e8fa6f02fee01e24","name":"MNCAATourneySeeds@1.csv","type":"text/csv","lastModified":1615926445174.776,"size":35430},{"id":"34e38a92ccddaac5f5adf1108b2f11083c1ff760493b92c7ac08dcad21efdb1ca55a1034cd42c0d306878223e8cc7e5482cd022ebc62820dffdd841a2ae64cea","href":"https://static.observableusercontent.com/files/34e38a92ccddaac5f5adf1108b2f11083c1ff760493b92c7ac08dcad21efdb1ca55a1034cd42c0d306878223e8cc7e5482cd022ebc62820dffdd841a2ae64cea","name":"WNCAATourneySeeds@1.csv","type":"text/csv","lastModified":1616041714624.772,"size":22100},{"id":"6005d12613ced9280e7ef27248521459089f313b5aeb4d9f0a9001cd07f7b88f3df237f08a8707ddffd4d08e1e944fee96a6276f2a3851364fcc5f4bffde17ca","href":"https://static.observableusercontent.com/files/6005d12613ced9280e7ef27248521459089f313b5aeb4d9f0a9001cd07f7b88f3df237f08a8707ddffd4d08e1e944fee96a6276f2a3851364fcc5f4bffde17ca","name":"MyMNCAATourneySeeds.csv","type":"text/csv","lastModified":1647221665367.667,"size":34035},{"id":"c21070dc765a6ce037f793d9f4ebf48e33534441a79e5b349c083606ceb7d12c701b89de81fe6eeb14b0a779c41d53d7f9b6c68377dc71eae9b765c0d9f05e86","href":"https://static.observableusercontent.com/files/c21070dc765a6ce037f793d9f4ebf48e33534441a79e5b349c083606ceb7d12c701b89de81fe6eeb14b0a779c41d53d7f9b6c68377dc71eae9b765c0d9f05e86","name":"submit2022.csv","type":"text/csv","lastModified":1647222924573.506,"size":40978},{"id":"013750972bc4b6f4fecf1d61d6f9a46bedde7bc650d7263fd2179539affc8ffeae14eb315597c6c1dfe3844392c5df57cb339d5dc81e1316d8aabb0d0a392c40","href":"https://static.observableusercontent.com/files/013750972bc4b6f4fecf1d61d6f9a46bedde7bc650d7263fd2179539affc8ffeae14eb315597c6c1dfe3844392c5df57cb339d5dc81e1316d8aabb0d0a392c40","name":"WNCAATourneySeeds@2.csv","type":"text/csv","lastModified":1647371129965.105,"size":23128},{"id":"31fc4066cee029907e5e6e311b036fb1604bde09ac17b803a56cba23a11393ab2fec8fd84c0ad0ee69396498a2719c8715bf215e3ae76a80d59495bd23127f0d","href":"https://static.observableusercontent.com/files/31fc4066cee029907e5e6e311b036fb1604bde09ac17b803a56cba23a11393ab2fec8fd84c0ad0ee69396498a2719c8715bf215e3ae76a80d59495bd23127f0d","name":"MyMNCAATourneyCompactResults.csv","type":"text/csv","lastModified":1647485432720.162,"size":69456},{"id":"27375b703f49da3685c8de61f42cc6e9e0e65aefaddea15736cde711b58993aee2ce35674b2b7741e69f73ec860231d62352b1e8999e11839e74c084405cc367","href":"https://static.observableusercontent.com/files/27375b703f49da3685c8de61f42cc6e9e0e65aefaddea15736cde711b58993aee2ce35674b2b7741e69f73ec860231d62352b1e8999e11839e74c084405cc367","name":"MyMNCAATourneyCompactResults@1.csv","type":"text/csv","lastModified":1647490168369.107,"size":69481},{"id":"d88d1a2c7575230054ac650368a62d1f5971c3922dbcb2869033152a8593dd0b5a2ceb1774d27e34d0da59ea54392ee2431de40010c92b09b9c56574568631c6","href":"https://static.observableusercontent.com/files/d88d1a2c7575230054ac650368a62d1f5971c3922dbcb2869033152a8593dd0b5a2ceb1774d27e34d0da59ea54392ee2431de40010c92b09b9c56574568631c6","name":"WNCAATourneyCompactResults@31.csv","type":"text/csv","lastModified":1647490826586.173,"size":43610},{"id":"4bd1602f9e18b86d495aeb694e8f32cbc1ea61b1883734d5b1c0baeee67678576a398268e23cf89fc06c538d92fe9822fe50cab0bc60b5b0d6a807bae693fa98","href":"https://static.observableusercontent.com/files/4bd1602f9e18b86d495aeb694e8f32cbc1ea61b1883734d5b1c0baeee67678576a398268e23cf89fc06c538d92fe9822fe50cab0bc60b5b0d6a807bae693fa98","name":"MyMNCAATourneyCompactResults@2.csv","type":"text/csv","lastModified":1647544392074.961,"size":69531},{"id":"c2f5d0dbd37cc516b7168c538305084b395d4971132939ebd2c3a65aa77e7c5292e9979ddaf03e07a8b00ab046f9d9733c7d6da8564fc4e0ff7519273c357f63","href":"https://static.observableusercontent.com/files/c2f5d0dbd37cc516b7168c538305084b395d4971132939ebd2c3a65aa77e7c5292e9979ddaf03e07a8b00ab046f9d9733c7d6da8564fc4e0ff7519273c357f63","name":"MyMNCAATourneyCompactResults@5.csv","type":"text/csv","lastModified":1647549199566.413,"size":69581},{"id":"709d8087927ddecd7e4c84aa9785688478a7015039df65c44d4c64b66800444f49d691201abc3e6a0cc579ddc83dee52fa85cb4656b1c18ed560832f441c542e","href":"https://static.observableusercontent.com/files/709d8087927ddecd7e4c84aa9785688478a7015039df65c44d4c64b66800444f49d691201abc3e6a0cc579ddc83dee52fa85cb4656b1c18ed560832f441c542e","name":"MyMNCAATourneyCompactResults@9.csv","type":"text/csv","lastModified":1647554174778.311,"size":69631},{"id":"a7a957f4ead84960bd3a0720b447a98e62d9f9eacab69c55a66672e42665081dd79d83279acda1706381c28711cc631a4da10ee5889a51b93a383f29e7139db2","href":"https://static.observableusercontent.com/files/a7a957f4ead84960bd3a0720b447a98e62d9f9eacab69c55a66672e42665081dd79d83279acda1706381c28711cc631a4da10ee5889a51b93a383f29e7139db2","name":"MyMNCAATourneyCompactResults@10.csv","type":"text/csv","lastModified":1647568989812.455,"size":69681},{"id":"2f6ecf78808c50f607ee0349de4c631e5a4ced92b93bb30a742e9bad340fe37504739cb41bc543c51d032a1c306cbf01d6003f689e2297f9c1ba80aa589d1652","href":"https://static.observableusercontent.com/files/2f6ecf78808c50f607ee0349de4c631e5a4ced92b93bb30a742e9bad340fe37504739cb41bc543c51d032a1c306cbf01d6003f689e2297f9c1ba80aa589d1652","name":"MyMNCAATourneyCompactResults@11.csv","type":"text/csv","lastModified":1647569906008.123,"size":69681},{"id":"1b1102215c20fdb3d9d190f47da6c625e2cd0962267c66334d1a07f5a05079887d12ad3e02a10610dbc04b52d63d9a24c9c00d1f9fb50d764b4f91b5408ce031","href":"https://static.observableusercontent.com/files/1b1102215c20fdb3d9d190f47da6c625e2cd0962267c66334d1a07f5a05079887d12ad3e02a10610dbc04b52d63d9a24c9c00d1f9fb50d764b4f91b5408ce031","name":"submitEigenbracket.csv","type":"text/csv","lastModified":1647569744593.679,"size":77640},{"id":"3d8b7000e719d8a8c1591b3fcea0a4193d36e3b5d3577a7f7112515d61a5fdb8583007f45f5c9ed9284cc2282695d99e233341753921c3bbaf3dd9dfe6ea0002","href":"https://static.observableusercontent.com/files/3d8b7000e719d8a8c1591b3fcea0a4193d36e3b5d3577a7f7112515d61a5fdb8583007f45f5c9ed9284cc2282695d99e233341753921c3bbaf3dd9dfe6ea0002","name":"submitFTE.csv","type":"text/csv","lastModified":1647569713054.54,"size":78010},{"id":"34455beeeba3eea931c956f37914d853a06d7b5e7bd710c2e16724d85f7e764d775c793344072fcd35182c7e202618541e55ce66f0be491c968d81412fc05ec6","href":"https://static.observableusercontent.com/files/34455beeeba3eea931c956f37914d853a06d7b5e7bd710c2e16724d85f7e764d775c793344072fcd35182c7e202618541e55ce66f0be491c968d81412fc05ec6","name":"MyMNCAATourneyCompactResults@12.csv","type":"text/csv","lastModified":1647570661842.527,"size":69781},{"id":"e652d9b97d934fc5b3c117121b227939519021274b4b28bc5993b817c224a89a34e4758c0537d69e6fcf715a61eb6adea75bea3fb267abf1055ad5196b4158a5","href":"https://static.observableusercontent.com/files/e652d9b97d934fc5b3c117121b227939519021274b4b28bc5993b817c224a89a34e4758c0537d69e6fcf715a61eb6adea75bea3fb267abf1055ad5196b4158a5","name":"MyMNCAATourneyCompactResults@13.csv","type":"text/csv","lastModified":1647579202070.098,"size":69881},{"id":"4b4a4cada49a19a9eab1235a0ca608b4b432747cb19d3610a77405cb0a8ca9a39bbdd48b587729efb98c55568b692c1650bae66649e3c890a488ba491d63e681","href":"https://static.observableusercontent.com/files/4b4a4cada49a19a9eab1235a0ca608b4b432747cb19d3610a77405cb0a8ca9a39bbdd48b587729efb98c55568b692c1650bae66649e3c890a488ba491d63e681","name":"submitWEigenbracket.csv","type":"text/csv","lastModified":1647597578841.054,"size":77762},{"id":"a9f9c34c60d3a89b03d4e5281197ccb5473471196b947a7958e2ea2d0940df827bec61abebd68995e196070f2bc8ac4b35a9e811f3776c7093127c875905023f","href":"https://static.observableusercontent.com/files/a9f9c34c60d3a89b03d4e5281197ccb5473471196b947a7958e2ea2d0940df827bec61abebd68995e196070f2bc8ac4b35a9e811f3776c7093127c875905023f","name":"submitWFTE.csv","type":"text/csv","lastModified":1647597510825.848,"size":78209},{"id":"b66fca6509f7c0e10267ffe21e3c1cd453806ee91c89c3646f6f139bc92a2bf7d80aa3778b0cf9896c1aeb8234f826db61a32c1da3dbc8d91c55791c0471e14b","href":"https://static.observableusercontent.com/files/b66fca6509f7c0e10267ffe21e3c1cd453806ee91c89c3646f6f139bc92a2bf7d80aa3778b0cf9896c1aeb8234f826db61a32c1da3dbc8d91c55791c0471e14b","name":"WNCAATourneyCompactResults@34.csv","type":"text/csv","lastModified":1647599002642.034,"size":43660},{"id":"4e6819f338bd45ae42770e1f5386cc4f39c2fec96b521aa00fd10bd5638bb33a4fac2fe102bb21881a7910185cf8fb2d8cedcb378f451d891cd0f41d4e0d34d0","href":"https://static.observableusercontent.com/files/4e6819f338bd45ae42770e1f5386cc4f39c2fec96b521aa00fd10bd5638bb33a4fac2fe102bb21881a7910185cf8fb2d8cedcb378f451d891cd0f41d4e0d34d0","name":"MyMNCAATourneyCompactResults@14.csv","type":"text/csv","lastModified":1647628126917.879,"size":69906},{"id":"5d4543d85102cefc2c6be01ec0c52a455c1bbbcb02eacebbf9dbd80c3228d2c5195c2fb01ff1a0b364e9c89d0912340c3b6c7eec54d3f1f9b9d836f7cc448702","href":"https://static.observableusercontent.com/files/5d4543d85102cefc2c6be01ec0c52a455c1bbbcb02eacebbf9dbd80c3228d2c5195c2fb01ff1a0b364e9c89d0912340c3b6c7eec54d3f1f9b9d836f7cc448702","name":"MyMNCAATourneyCompactResults@15.csv","type":"text/csv","lastModified":1647637012906.153,"size":69981},{"id":"23051b5377b09af1a8592fcda36f080cbcfe2469a12d720204c301e467abce457f1ca31658b3edf44a482bbd694c55f3cfebc92fb9a628a4170380f76b4fa492","href":"https://static.observableusercontent.com/files/23051b5377b09af1a8592fcda36f080cbcfe2469a12d720204c301e467abce457f1ca31658b3edf44a482bbd694c55f3cfebc92fb9a628a4170380f76b4fa492","name":"WNCAATourneyCompactResults@37.csv","type":"text/csv","lastModified":1647638193434.683,"size":43785},{"id":"7be6ab604c8bb5afc8a00456e83dc8a99636e9d7afe6cdc5b1b9f10532a1ddfb6fdf4d36f54b5f38e354dc3844e297385ab829752f8775c95250998ddd144023","href":"https://static.observableusercontent.com/files/7be6ab604c8bb5afc8a00456e83dc8a99636e9d7afe6cdc5b1b9f10532a1ddfb6fdf4d36f54b5f38e354dc3844e297385ab829752f8775c95250998ddd144023","name":"MyMNCAATourneyCompactResults@16.csv","type":"text/csv","lastModified":1647637399314.482,"size":69981},{"id":"901b0815aa6688bd046e5ffa2d4258f89ea99905da847525b2675bd3ca27f90524b1914c836e041e111ce7b3a5f9e13736fab8e33889bfb7e69e8af542e00c11","href":"https://static.observableusercontent.com/files/901b0815aa6688bd046e5ffa2d4258f89ea99905da847525b2675bd3ca27f90524b1914c836e041e111ce7b3a5f9e13736fab8e33889bfb7e69e8af542e00c11","name":"MyMNCAATourneyCompactResults@17.csv","type":"text/csv","lastModified":1647638418830.805,"size":70006},{"id":"9059f119bbd630f2fd2dd112fcecea3305384fc4cf72faf39916f7db46a7854cf261a4601fb655301fec1758087001d877de312472c28423134ab94c87bd59c4","href":"https://static.observableusercontent.com/files/9059f119bbd630f2fd2dd112fcecea3305384fc4cf72faf39916f7db46a7854cf261a4601fb655301fec1758087001d877de312472c28423134ab94c87bd59c4","name":"MyMNCAATourneyCompactResults@18.csv","type":"text/csv","lastModified":1647638879967.284,"size":70006},{"id":"772f5c2bf8a6f83de88428f6fe660e5ef114c820fea544475ebfa27ad6f5bb352f5b74c87fc0d63e29368a0dd0d6c3489c81c19825870ba3c6054dae9d92f221","href":"https://static.observableusercontent.com/files/772f5c2bf8a6f83de88428f6fe660e5ef114c820fea544475ebfa27ad6f5bb352f5b74c87fc0d63e29368a0dd0d6c3489c81c19825870ba3c6054dae9d92f221","name":"MyMNCAATourneyCompactResults@20.csv","type":"text/csv","lastModified":1647645419466.222,"size":70102},{"id":"4de987483d248862db92d7e69134a9412792035f6db56d526570823620ea5081abc349f6cbb62652845947d556d6cf39dac283a6556f2297e62ab9920c1dfd96","href":"https://static.observableusercontent.com/files/4de987483d248862db92d7e69134a9412792035f6db56d526570823620ea5081abc349f6cbb62652845947d556d6cf39dac283a6556f2297e62ab9920c1dfd96","name":"WNCAATourneyCompactResults@38.csv","type":"text/csv","lastModified":1647644782215.468,"size":43886},{"id":"732e9ad9a061ddb950e74ed40ad04b3131bc0f00cb9090e1e5606db2c056919b777db2f6a0f2d7dfa078cf99fd126a9dc6da2555f4f7e180ee905418b90dd154","href":"https://static.observableusercontent.com/files/732e9ad9a061ddb950e74ed40ad04b3131bc0f00cb9090e1e5606db2c056919b777db2f6a0f2d7dfa078cf99fd126a9dc6da2555f4f7e180ee905418b90dd154","name":"MyMNCAATourneyCompactResults@23.csv","type":"text/csv","lastModified":1647648334648.614,"size":70081},{"id":"a01e008c258637fd6767a42ec8e75d099c1fc7aea51ee462b0795afc5678f923f26997da7717a0466efa027ad54c3200dbed39f49de3061d55c8aa6add5e16ba","href":"https://static.observableusercontent.com/files/a01e008c258637fd6767a42ec8e75d099c1fc7aea51ee462b0795afc5678f923f26997da7717a0466efa027ad54c3200dbed39f49de3061d55c8aa6add5e16ba","name":"WNCAATourneyCompactResults@39.csv","type":"text/csv","lastModified":1647649474160.19,"size":43936},{"id":"e86c05afb7a16fda62304f987bd70c3600e61328efd5f7d07538e1c1d27c79aa5cf0942c2bdd68cf03d75d4a9912614c2d534641a015072f73b1f1ebb5aa24e7","href":"https://static.observableusercontent.com/files/e86c05afb7a16fda62304f987bd70c3600e61328efd5f7d07538e1c1d27c79aa5cf0942c2bdd68cf03d75d4a9912614c2d534641a015072f73b1f1ebb5aa24e7","name":"MyMNCAATourneyCompactResults@25.csv","type":"text/csv","lastModified":1647652785197.45,"size":70131},{"id":"9143a03c6d3945a37de9c394f1b6d6f00717dc1534689955ae9663757c01cdf9d84b5c79f307ee649f122c47be10a4669440207518dee5cc885b663a7f2efc90","href":"https://static.observableusercontent.com/files/9143a03c6d3945a37de9c394f1b6d6f00717dc1534689955ae9663757c01cdf9d84b5c79f307ee649f122c47be10a4669440207518dee5cc885b663a7f2efc90","name":"MyMNCAATourneyCompactResults@26.csv","type":"text/csv","lastModified":1647654044516.927,"size":70156},{"id":"e4ae2e78d4149a74981e1eb31032c8a1c00fdd3d3e32330f312b70f52be829040083a8be1bb4c8f31cc34edc028a033b0b3df36cc04ab69169b0f31547d9c153","href":"https://static.observableusercontent.com/files/e4ae2e78d4149a74981e1eb31032c8a1c00fdd3d3e32330f312b70f52be829040083a8be1bb4c8f31cc34edc028a033b0b3df36cc04ab69169b0f31547d9c153","name":"WNCAATourneyCompactResults@40.csv","type":"text/csv","lastModified":1647654215127.585,"size":43986},{"id":"9710e85e06cf013c64b217710822eee08cf2c1675fa4c9737d06b8346623fa07b4f3fc63777e81a84024439729bc4f4d20159584646316412e5ad5e01bed3814","href":"https://static.observableusercontent.com/files/9710e85e06cf013c64b217710822eee08cf2c1675fa4c9737d06b8346623fa07b4f3fc63777e81a84024439729bc4f4d20159584646316412e5ad5e01bed3814","name":"MyMNCAATourneyCompactResults@27.csv","type":"text/csv","lastModified":1647656688565.553,"size":70181},{"id":"7073d8bc595704207a75c515e3485de05faa72f6a405419760f13317c1ead50ff2482a949370c49ea91a9aada1f59f750c8858ea89fbb39f503ebf49189be784","href":"https://static.observableusercontent.com/files/7073d8bc595704207a75c515e3485de05faa72f6a405419760f13317c1ead50ff2482a949370c49ea91a9aada1f59f750c8858ea89fbb39f503ebf49189be784","name":"WNCAATourneyCompactResults@41.csv","type":"text/csv","lastModified":1647657031012.271,"size":44011},{"id":"6dcfcaafd00bc3346d85daadd6cf3feeb8cc0fcf2264dce37dc11708c930896f0275c851e5870f2250bfd8ceac3840ffde924519a8e80c7d76a250ef7069cdd9","href":"https://static.observableusercontent.com/files/6dcfcaafd00bc3346d85daadd6cf3feeb8cc0fcf2264dce37dc11708c930896f0275c851e5870f2250bfd8ceac3840ffde924519a8e80c7d76a250ef7069cdd9","name":"WNCAATourneyCompactResults@42.csv","type":"text/csv","lastModified":1647664321060.287,"size":44061},{"id":"4dcba40a213f07997181079f038e528f96bd8c335ef252ba85baac8f94fb9f6557efde91619be2ac3e43b92af33b03b10a97c1a1539e600fd66d8b8b9ee99e82","href":"https://static.observableusercontent.com/files/4dcba40a213f07997181079f038e528f96bd8c335ef252ba85baac8f94fb9f6557efde91619be2ac3e43b92af33b03b10a97c1a1539e600fd66d8b8b9ee99e82","name":"MyMNCAATourneyCompactResults@30.csv","type":"text/csv","lastModified":1647685762127.06,"size":70281},{"id":"06d443477bdf2664fea72851e91898d4cd4889d75ee252fecb27286fcdc46236dc26c52c3fdb0564f57a480f7a8d7c13b8843cafc892e0e66a13256d468b23e0","href":"https://static.observableusercontent.com/files/06d443477bdf2664fea72851e91898d4cd4889d75ee252fecb27286fcdc46236dc26c52c3fdb0564f57a480f7a8d7c13b8843cafc892e0e66a13256d468b23e0","name":"WNCAATourneyCompactResults@43.csv","type":"text/csv","lastModified":1647731286801.435,"size":44311},{"id":"5027bdfb598303b838b1a5b1f0f5e4ad239574dcb1867ea85be503b01e6fb7431535aa45d05cd6d437914d1775b06cea640c3e1a825f11be220bb7aec9478d90","href":"https://static.observableusercontent.com/files/5027bdfb598303b838b1a5b1f0f5e4ad239574dcb1867ea85be503b01e6fb7431535aa45d05cd6d437914d1775b06cea640c3e1a825f11be220bb7aec9478d90","name":"MyMNCAATourneyCompactResults@31.csv","type":"text/csv","lastModified":1647731685594.638,"size":70331},{"id":"4630fdd158de32e2e621cc426b3965df292073a0628c14b6a5494bbce1a1d25c01286302852611303622e720579f74000f1f8fd14eec60b29902fada1cf642ac","href":"https://static.observableusercontent.com/files/4630fdd158de32e2e621cc426b3965df292073a0628c14b6a5494bbce1a1d25c01286302852611303622e720579f74000f1f8fd14eec60b29902fada1cf642ac","name":"MyMNCAATourneyCompactResults@34.csv","type":"text/csv","lastModified":1647748812944.525,"size":70481},{"id":"934b80a3d2fb9dee0c1377bdf7be40c034719ac3db0f3cde68319eaa97ff5be87fb9cd48af53a24e597334c6f8db34d6c70c08a9591a8476f6d18ae71913873d","href":"https://static.observableusercontent.com/files/934b80a3d2fb9dee0c1377bdf7be40c034719ac3db0f3cde68319eaa97ff5be87fb9cd48af53a24e597334c6f8db34d6c70c08a9591a8476f6d18ae71913873d","name":"WNCAATourneyCompactResults@47.csv","type":"text/csv","lastModified":1647749279066.495,"size":44461},{"id":"41ffb3594838d83a214383e90c802c130823c8cdf9625329f8c336a8b51bc9b08f5e8ef9b6d80dbee9616fbc48ddcfe94a42bbbb24cab3f05c1f1266a5f0dd33","href":"https://static.observableusercontent.com/files/41ffb3594838d83a214383e90c802c130823c8cdf9625329f8c336a8b51bc9b08f5e8ef9b6d80dbee9616fbc48ddcfe94a42bbbb24cab3f05c1f1266a5f0dd33","name":"MyMNCAATourneyCompactResults@36.csv","type":"text/csv","lastModified":1647813369802.763,"size":70531},{"id":"8fb103009929815b99f16bbde2cb06419523c499442b269980b4d7082bcababcf2954862e9b5e8042d67bef767f43935a92980996094aa94b4494f3e215b9a4c","href":"https://static.observableusercontent.com/files/8fb103009929815b99f16bbde2cb06419523c499442b269980b4d7082bcababcf2954862e9b5e8042d67bef767f43935a92980996094aa94b4494f3e215b9a4c","name":"MyMNCAATourneyCompactResults@39.csv","type":"text/csv","lastModified":1647828162060.648,"size":70606},{"id":"3d6b72c0d186edd3426ead3a5106ba30addf656349a198e8194c46a258718b1d2a04cbb958d3d9e42bd181e2291724cd1afbee3f17d4333fe2fb9061dec77c74","href":"https://static.observableusercontent.com/files/3d6b72c0d186edd3426ead3a5106ba30addf656349a198e8194c46a258718b1d2a04cbb958d3d9e42bd181e2291724cd1afbee3f17d4333fe2fb9061dec77c74","name":"MyMNCAATourneyCompactResults@41.csv","type":"text/csv","lastModified":1647829793646.347,"size":70606},{"id":"2b8d3caef65f887a8f9346e583984b26e4ca654e4f4428e109836c15e066ab9b346146c74c20e316cc8a8119015fe5ebdc6f391f0c1d699e8f77bf73c75e661f","href":"https://static.observableusercontent.com/files/2b8d3caef65f887a8f9346e583984b26e4ca654e4f4428e109836c15e066ab9b346146c74c20e316cc8a8119015fe5ebdc6f391f0c1d699e8f77bf73c75e661f","name":"WNCAATourneyCompactResults@50.csv","type":"text/csv","lastModified":1647831162782.991,"size":44636},{"id":"81b8071aa2e5f7af948b3fc731680f1c555fb24a3f3e9979e9fdab8537120d3bb8506c67e2db3029924cc3da1ea3c3d7c0a52ffa037252327ed03a64fb2d4175","href":"https://static.observableusercontent.com/files/81b8071aa2e5f7af948b3fc731680f1c555fb24a3f3e9979e9fdab8537120d3bb8506c67e2db3029924cc3da1ea3c3d7c0a52ffa037252327ed03a64fb2d4175","name":"MyMNCAATourneyCompactResults@42.csv","type":"text/csv","lastModified":1647830401641.437,"size":70631},{"id":"888c624e3084b1e7a0ba5c892f0698eec1fe754b2e46f355635b38ae3b0ded66ce52a015b681980b91b8f76c3fe4cbb14226ad902c19144edcda39533be57416","href":"https://static.observableusercontent.com/files/888c624e3084b1e7a0ba5c892f0698eec1fe754b2e46f355635b38ae3b0ded66ce52a015b681980b91b8f76c3fe4cbb14226ad902c19144edcda39533be57416","name":"WNCAATourneyCompactResults@51.csv","type":"text/csv","lastModified":1647831299485.218,"size":44661},{"id":"70edf5f3da9f39d52e805e9e11b2a3a524cfe8209f42d02981140b3f91c0381741b3ef2dffd47ac8061f2e23c714336528cbb27409ef8a7184a480454fbad388","href":"https://static.observableusercontent.com/files/70edf5f3da9f39d52e805e9e11b2a3a524cfe8209f42d02981140b3f91c0381741b3ef2dffd47ac8061f2e23c714336528cbb27409ef8a7184a480454fbad388","name":"WNCAATourneyCompactResults@49.csv","type":"text/csv","lastModified":1647813822359.739,"size":44536},{"id":"f88fb25bd7a3549dda5b4f3245d5916c69886e6bf9c2e1a7924f370db0d39cd51f293403aac1daca3762652be674eaa8cb5e17ec5b30c358f7ba4f9581414694","href":"https://static.observableusercontent.com/files/f88fb25bd7a3549dda5b4f3245d5916c69886e6bf9c2e1a7924f370db0d39cd51f293403aac1daca3762652be674eaa8cb5e17ec5b30c358f7ba4f9581414694","name":"MyMNCAATourneyCompactResults@51.csv","type":"text/csv","lastModified":1647874270241.527,"size":70681},{"id":"e0d9f39a59dfc3ffaa66012eba84b6e693ea93f1b2c1ee9b20cb21a48133891b9285dc6cea5b5034c3d3d4b283e78c054589a7bf7e8826db4ce908a526722e90","href":"https://static.observableusercontent.com/files/e0d9f39a59dfc3ffaa66012eba84b6e693ea93f1b2c1ee9b20cb21a48133891b9285dc6cea5b5034c3d3d4b283e78c054589a7bf7e8826db4ce908a526722e90","name":"MyMNCAATourneyCompactResults@50.csv","type":"text/csv","lastModified":1647859449737.339,"size":70681},{"id":"0eb20f654ff9217843b1f6c7e17c3d2542f45b2d88cf12de5de72022c5005533806c099e38c18b87b763404271b6425ba85d1fed659f5ecef1e089b932d9fe5b","href":"https://static.observableusercontent.com/files/0eb20f654ff9217843b1f6c7e17c3d2542f45b2d88cf12de5de72022c5005533806c099e38c18b87b763404271b6425ba85d1fed659f5ecef1e089b932d9fe5b","name":"WNCAATourneyCompactResults@53.csv","type":"text/csv","lastModified":1647945659129.524,"size":44862},{"id":"e0d9f39a59dfc3ffaa66012eba84b6e693ea93f1b2c1ee9b20cb21a48133891b9285dc6cea5b5034c3d3d4b283e78c054589a7bf7e8826db4ce908a526722e90","href":"https://static.observableusercontent.com/files/e0d9f39a59dfc3ffaa66012eba84b6e693ea93f1b2c1ee9b20cb21a48133891b9285dc6cea5b5034c3d3d4b283e78c054589a7bf7e8826db4ce908a526722e90","name":"MNCAATourneyCompactResults@71.csv","type":"text/csv","lastModified":1647952587599.525,"size":70681},{"id":"8fe4bba22bd0907122dad2ca0329d7ff36054769bd7b727dfbd26ab4f4407cbf371b654f8f8037c0eaff4a1f03728629aa147c307c75caed1cb4d750b8828593","href":"https://static.observableusercontent.com/files/8fe4bba22bd0907122dad2ca0329d7ff36054769bd7b727dfbd26ab4f4407cbf371b654f8f8037c0eaff4a1f03728629aa147c307c75caed1cb4d750b8828593","name":"MNCAATourneyCompactResults@72.csv","type":"text/csv","lastModified":1648172940503.118,"size":70731},{"id":"81e8a368e925eeec5660e8dfabe4fd2435d1ddf41e968d689b18e5aa4a77172ad33053a4191282b23d41238b7f09bf7ee61691d41899b7e03e343d916a5a8f49","href":"https://static.observableusercontent.com/files/81e8a368e925eeec5660e8dfabe4fd2435d1ddf41e968d689b18e5aa4a77172ad33053a4191282b23d41238b7f09bf7ee61691d41899b7e03e343d916a5a8f49","name":"MNCAATourneyCompactResults@73.csv","type":"text/csv","lastModified":1648201770300.078,"size":70781},{"id":"a113f62bd37f5c0f8cd541a22385d14d9179f8f706006b4f46a73d8763b66dc6377f9176f7d62b89f99d20a12a0f873e40a6c080209b1f5660d00c341794f9dd","href":"https://static.observableusercontent.com/files/a113f62bd37f5c0f8cd541a22385d14d9179f8f706006b4f46a73d8763b66dc6377f9176f7d62b89f99d20a12a0f873e40a6c080209b1f5660d00c341794f9dd","name":"MNCAATourneyCompactResults@74.csv","type":"text/csv","lastModified":1648259899738.33,"size":70831},{"id":"0312acdbac35117cf50ac18b9f8ad13ef86b0353b2bd0041a38a51be0717e67fdeafca769c1887526d777c3155030a9dea0ead3dea8df0fa5b21c787b00f71e6","href":"https://static.observableusercontent.com/files/0312acdbac35117cf50ac18b9f8ad13ef86b0353b2bd0041a38a51be0717e67fdeafca769c1887526d777c3155030a9dea0ead3dea8df0fa5b21c787b00f71e6","name":"MNCAATourneyCompactResults@75.csv","type":"text/csv","lastModified":1648261390706.25,"size":70831},{"id":"8095b7c068f01bb81c9f9d3048d21bc238336acfa42bdaa9b015863748786407d8afa17de1c6929c01eef03c9d95684d389ddc2d6d697c0a39c35414c3f5abc5","href":"https://static.observableusercontent.com/files/8095b7c068f01bb81c9f9d3048d21bc238336acfa42bdaa9b015863748786407d8afa17de1c6929c01eef03c9d95684d389ddc2d6d697c0a39c35414c3f5abc5","name":"WNCAATourneyCompactResults@54.csv","type":"text/csv","lastModified":1648266909449.241,"size":44962},{"id":"51017e8ea1f8593dec29ca2b12bd6c44c76565bc4a32b327f5ad1dcbdf2d38b7666dbddd026aad951213ac5cf1e241eb6d8aae03693079e6db0f50838f1b3175","href":"https://static.observableusercontent.com/files/51017e8ea1f8593dec29ca2b12bd6c44c76565bc4a32b327f5ad1dcbdf2d38b7666dbddd026aad951213ac5cf1e241eb6d8aae03693079e6db0f50838f1b3175","name":"MNCAATourneyCompactResults@77.csv","type":"text/csv","lastModified":1648269067332.135,"size":70881},{"id":"572888dcf19126d8eabad087c35763030b927aaf86519f1c09119ce3da004f08296d2720e4a7c95de2aa531ad14fc32d7679976f735836d11c239f9f78f673d2","href":"https://static.observableusercontent.com/files/572888dcf19126d8eabad087c35763030b927aaf86519f1c09119ce3da004f08296d2720e4a7c95de2aa531ad14fc32d7679976f735836d11c239f9f78f673d2","name":"WNCAATourneyCompactResults@57.csv","type":"text/csv","lastModified":1648343963718.106,"size":45062},{"id":"ed3b4bb48030fa9ca20b9c568ca36186574b111a8c44e489ca1d0711916b8496384839589e6cdcefb93c03cdc2455bc2644eb5db7bdf919662fa250bf2b044bd","href":"https://static.observableusercontent.com/files/ed3b4bb48030fa9ca20b9c568ca36186574b111a8c44e489ca1d0711916b8496384839589e6cdcefb93c03cdc2455bc2644eb5db7bdf919662fa250bf2b044bd","name":"MNCAATourneyCompactResults@78.csv","type":"text/csv","lastModified":1648350535158.288,"size":70931},{"id":"f655feef9d1c82e13e8180191095d52381ccbbd5560e8bf290b1fb5c33d41a91d1e1fdd6b77c1934dd7f5d15bbd77f452b88342a03756e34da8dcd045279895e","href":"https://static.observableusercontent.com/files/f655feef9d1c82e13e8180191095d52381ccbbd5560e8bf290b1fb5c33d41a91d1e1fdd6b77c1934dd7f5d15bbd77f452b88342a03756e34da8dcd045279895e","name":"MNCAATourneyCompactResults@80.csv","type":"text/csv","lastModified":1648413510101.161,"size":70956},{"id":"2f3d327cabc672cdcae60ba4b0f05281f13330c95dc0143e0ef976ab93b77fff7583db87043bc19484ad03c87e1cab61cc4bd217888c035508f76f23ee808232","href":"https://static.observableusercontent.com/files/2f3d327cabc672cdcae60ba4b0f05281f13330c95dc0143e0ef976ab93b77fff7583db87043bc19484ad03c87e1cab61cc4bd217888c035508f76f23ee808232","name":"MNCAATourneyCompactResults@82.csv","type":"text/csv","lastModified":1648422744394.226,"size":70981},{"id":"393d8bc81fec81a27c1ef820241d7e4ab04097b24a1fce89194e6180bb38de215486ac165446da61bdfcce7b8e24368110c0a1e574f0fa5539ccc973937c3b76","href":"https://static.observableusercontent.com/files/393d8bc81fec81a27c1ef820241d7e4ab04097b24a1fce89194e6180bb38de215486ac165446da61bdfcce7b8e24368110c0a1e574f0fa5539ccc973937c3b76","name":"WNCAATourneyCompactResults@58.csv","type":"text/csv","lastModified":1648430780660.165,"size":45087},{"id":"267c3ac3243bb64188c446cb09b15e3a7f5b3d774c9cef59da5b7528b8ff6995272f15fdecd961a81d2f3113afddcb62425dbe57305c37bda003b6c149b4ab6d","href":"https://static.observableusercontent.com/files/267c3ac3243bb64188c446cb09b15e3a7f5b3d774c9cef59da5b7528b8ff6995272f15fdecd961a81d2f3113afddcb62425dbe57305c37bda003b6c149b4ab6d","name":"WNCAATourneyCompactResults@59.csv","type":"text/csv","lastModified":1648437599120.719,"size":45112},{"id":"309bcaaee1032a2865a629faea2420953be675f4461fda749a29d1f2c3658ae6b4f9c45f148f1a0d7a391bc350718aa007c19069361a77e9361d0ebc0e63eacd","href":"https://static.observableusercontent.com/files/309bcaaee1032a2865a629faea2420953be675f4461fda749a29d1f2c3658ae6b4f9c45f148f1a0d7a391bc350718aa007c19069361a77e9361d0ebc0e63eacd","name":"WNCAATourneyCompactResults@60.csv","type":"text/csv","lastModified":1648518165950.881,"size":45137},{"id":"7a657ba38b9a7949ffeb78f532807a6adb5d547827eabc6dde7a05d86fdb35713916a39a5f68b633b73cc1efe271bab26d2391428196a9d1f41fee774c312a6c","href":"https://static.observableusercontent.com/files/7a657ba38b9a7949ffeb78f532807a6adb5d547827eabc6dde7a05d86fdb35713916a39a5f68b633b73cc1efe271bab26d2391428196a9d1f41fee774c312a6c","name":"WNCAATourneyCompactResults@61.csv","type":"text/csv","lastModified":1648548580386.465,"size":45162},{"id":"3c55e031a905f1c23983807dda6e2471303034e4b2ba39be262596afb69cc46872ccc00af1c2e157ea7545ea2ada2af80d175b4343189587e58ca8e9d58f7b0b","href":"https://static.observableusercontent.com/files/3c55e031a905f1c23983807dda6e2471303034e4b2ba39be262596afb69cc46872ccc00af1c2e157ea7545ea2ada2af80d175b4343189587e58ca8e9d58f7b0b","name":"WNCAATourneyCompactResults@62.csv","type":"text/csv","lastModified":1648899891357.176,"size":45212},{"id":"a45dd9ce77d8d5d185478d4d9e582d70c258cba67267a94405c992f61a47069cbcd2d084b794b89935e0ba5c7e2f4bda84a0a783ba40bad84715a61b6c76bc42","href":"https://static.observableusercontent.com/files/a45dd9ce77d8d5d185478d4d9e582d70c258cba67267a94405c992f61a47069cbcd2d084b794b89935e0ba5c7e2f4bda84a0a783ba40bad84715a61b6c76bc42","name":"MNCAATourneyCompactResults@84.csv","type":"text/csv","lastModified":1648946091686.378,"size":71006},{"id":"e58d6df798acd9ad7c49f2a410bab6c6b939bd9197f803b0f917d5e28a85da62fe2294ffb6b5fa63714e1d685442db6e9c548d5e8dd86d9bc4f6a38c23f310e1","href":"https://static.observableusercontent.com/files/e58d6df798acd9ad7c49f2a410bab6c6b939bd9197f803b0f917d5e28a85da62fe2294ffb6b5fa63714e1d685442db6e9c548d5e8dd86d9bc4f6a38c23f310e1","name":"MNCAATourneyCompactResults@85.csv","type":"text/csv","lastModified":1648957186285.19,"size":71031},{"id":"660393ffc0fdcf3bbc3d68144ed09dfc8aec9bf600baf65fd56067399eaa674b6af7f416f50ad4f2a52bfd7f7cf00f92a702a43496b72b8cfebf923840be309e","href":"https://static.observableusercontent.com/files/660393ffc0fdcf3bbc3d68144ed09dfc8aec9bf600baf65fd56067399eaa674b6af7f416f50ad4f2a52bfd7f7cf00f92a702a43496b72b8cfebf923840be309e","name":"WNCAATourneyCompactResults@63.csv","type":"text/csv","lastModified":1649041009203.808,"size":45237},{"id":"722e5559eb91e7200bd957dbc6ccf5278e4e7925b405a2aadf891ee0e6aaf378011b309405e0d2a2e401b5d9568ac338ae82237149a8d9c407295c1220ac3598","href":"https://static.observableusercontent.com/files/722e5559eb91e7200bd957dbc6ccf5278e4e7925b405a2aadf891ee0e6aaf378011b309405e0d2a2e401b5d9568ac338ae82237149a8d9c407295c1220ac3598","name":"MNCAATourneyCompactResults@86.csv","type":"text/csv","lastModified":1649148880081.867,"size":71056},{"id":"118161c69d3e15b0860bc747228dc6e3af9fcc688c296c3748a94577ebda312a134ed631aa7a92527f696c1048a365dc5445b0405e40361a71a58d04b6b9e7aa","href":"https://static.observableusercontent.com/files/118161c69d3e15b0860bc747228dc6e3af9fcc688c296c3748a94577ebda312a134ed631aa7a92527f696c1048a365dc5445b0405e40361a71a58d04b6b9e7aa","name":"kaggle_results.csv","type":"text/csv","lastModified":1679302658568.557,"size":2030},{"id":"14b3216e6031d8262f374e1fa40bfd09cacb96196e0fd65d5de12e22c3c7175a9c8e8d652e95693d7a7b27bc960b5c10a699c6524041ada572f0fa1e78c513f6","href":"https://static.observableusercontent.com/files/14b3216e6031d8262f374e1fa40bfd09cacb96196e0fd65d5de12e22c3c7175a9c8e8d652e95693d7a7b27bc960b5c10a699c6524041ada572f0fa1e78c513f6","name":"kaggle_results@1.csv","type":"text/csv","lastModified":1679390249571.064,"size":2270},{"id":"409644b99c3a0da7513f160c5ffaf0487d9e8f1701eb4e000c7f2d6db5fe7cc4727059e6ae6bd24b1af306ce4f7a7152bdc0175a3cef37725b84b9ddb035b259","href":"https://static.observableusercontent.com/files/409644b99c3a0da7513f160c5ffaf0487d9e8f1701eb4e000c7f2d6db5fe7cc4727059e6ae6bd24b1af306ce4f7a7152bdc0175a3cef37725b84b9ddb035b259","name":"FiveThirtyEightPredictions.csv","type":"text/csv","lastModified":1679307272935.583,"size":156176}] 32:{"id":"f2d6187ffd058ad5","slug":"visualize-your-kaggle-brackets-for-march-madness","title":"(Old) Kaggle brackets for March Madness","thumbnail":"56eb1c5db852119d5b58ffe6de16050e2318182e7b37c4f4edf7b437eaf18e6d","access_level":"unlisted","create_time":"$D2021-03-15T21:50:01.342Z","update_time":"$D2025-03-20T18:17:26.003Z","view_time":null,"first_public_time":"$D2021-03-18T04:25:12.136Z","has_unpublished_edits":null,"fork":{"id":"c218412edc1e100a","slug":"ncaa-brackets","title":"NCAA Brackets","owner":{"id":"d771c8ae812d5130","login":"mcmcclur","name":"Mark McClure"}},"stars":5,"starred":false,"owner":{"type":"team","id":"d771c8ae812d5130","login":"mcmcclur","name":"Mark McClure","avatar_url":"https://avatars-next.observableusercontent.com/e615e819ce83d43faef607e48c53c5ff63943aa0ba9f5848499bd02fef7396f4","tier":"starter_2024"},"version":3007,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"c3301e515dd08a41","login":"mcmcclur","name":"Mark McClure","avatar_url":"https://avatars-next.observableusercontent.com/e615e819ce83d43faef607e48c53c5ff63943aa0ba9f5848499bd02fef7396f4","tier":null}],"members":[{"type":"individual","id":"c3301e515dd08a41","login":"mcmcclur","name":"Mark McClure","avatar_url":"https://avatars-next.observableusercontent.com/e615e819ce83d43faef607e48c53c5ff63943aa0ba9f5848499bd02fef7396f4","tier":null,"role":"editor"},{"type":"team","id":"d771c8ae812d5130","login":"mcmcclur","name":"Mark McClure","avatar_url":"https://avatars-next.observableusercontent.com/e615e819ce83d43faef607e48c53c5ff63943aa0ba9f5848499bd02fef7396f4","tier":"starter_2024","role":"viewer"}],"comments":[],"custom_thumbnail":true,"trashed":false,"lapsed":null,"subscribed":null,"forks":12,"collection":{"id":"63707cbb69605e02","slug":"sports-analytics","title":"Sports analytics","owner":{"id":"d771c8ae812d5130","login":"mcmcclur","name":"Mark McClure"}},"type":"notebook","body":{"title":"(Old) Kaggle brackets for March Madness","cells":[{"id":0,"value":"md`# (Old) Kaggle brackets for March Madness`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1999,"value":"$34","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2007,"value":"$35","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2740,"value":"viewof projection = Inputs.radio([\"None\", \"From current\", \"From beginning\"], {\n label: \"Projection:\",\n value: \"None\",\n disabled: true\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2739,"value":"viewof projection_type = Inputs.radio([\"Best\", \"Worst\"], {\n label: \"Projection type:\",\n value: \"Best\",\n disabled: true\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2884,"value":"viewof display = Inputs.radio([\"Men\", \"Women\"], {\n label: \"Display:\",\n value: \"Men\"\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2883,"value":"overall_brier_display = {\n let div = d3\n .create(\"div\")\n .style(\"height\", \"25px\")\n .style(\"font-size\", \"20px\")\n .style(\"text-align\", \"center\")\n .style(\"opacity\", projection == \"None\" ? 1 : 0.2);\n\n if (overall_brier_score && !isNaN(overall_brier_score)) {\n div.text(`Overall Brier score = ${d3.format(\"0.5f\")(overall_brier_score)}`);\n }\n return div.node();\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2882,"value":"selected_brier_display = {\n let div = d3\n .create(\"div\")\n .style(\"height\", \"15px\")\n .style(\"font-size\", \"20px\")\n .style(\"text-align\", \"center\");\n let games = tourney_tree\n .descendants()\n .filter(\n (node) =>\n node.data.WTeam &&\n node.data.WTeam.score != 1 &&\n node.data.LTeam &&\n (node.data.played || node.data.projected)\n )\n .map((node) => node.data);\n let brier_score =\n d3.sum(\n games.map((g) =>\n Math.pow(\n get_predicted_probability(g.WTeam.TeamID, g.LTeam.TeamID) - 1,\n 2\n )\n )\n ) / games.length;\n if (brier_score && !isNaN(brier_score)) {\n div.text(\n `${\n projection == \"None\" ? \"\" : \"Projected \"\n }${display}'s Brier score = ${d3.format(\"0.5f\")(brier_score)}`\n );\n }\n return div.node();\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1548,"value":"brackets = make_brackets()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2746,"value":"$36","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"comments","database":"$undefined"},{"id":2737,"value":"## Data\n\nAll the data comes from Kaggle's March Machine Learning Mania competitions for the [Men's](https://www.kaggle.com/c/mens-march-mania-2022) and [Women's](https://www.kaggle.com/c/womens-march-mania-2022) tournaments. Thus, you can visualize a prediction file for any year covered by Kaggle's data. That's\n\n * All men's tournaments since 1985 and\n * all women's tournaments since 1998.\n\nOf course, 2020 isn't included and 2022 is only partway through.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":1551,"value":"md`## Code`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1595,"value":"md`This main \\`make_brackets\\` function creates a \\`div\\` element, adds an absolutely positioned \\`svg\\` element on which we draw the connectors, then adds 63 absolutely positioned \\`div\\` elements to display the games.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":926,"value":"$37","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1598,"value":"md`### Components`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1589,"value":"$38","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2353,"value":"format = d3.format('0.5f')","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1592,"value":"$39","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1345,"value":"$3a","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1608,"value":"md`### Repositioning\n\nA bit more complicated than I might have liked. \\`d3.tree\\` applied to a \\`d3.hiearchy\\` returns a lovely top-to-bottom layout. A standard trick to reorient that horizontally is to swap x and y. In the setup here, we've got to rearrange the four regions so that one half the bracket occupies the left half of the \\`div\\` while the other half occupies the right. In addition, we want the top two regions to feed into the top national semi-final and similarly for the bottom.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1197,"value":"$3b","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1194,"value":"$3c","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1615,"value":"md`### Contructing the tournament`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1339,"value":"// Apply d3.hierarchy and d3.tree\n// We can define display_map below to order the seeds in\n// round 1 however we want.\ntourney_tree = {\n let tree = d3.hierarchy(tourney);\n tree.sort(function(x, y) {\n return (\n display_map.get(y.data.expected_seeds[0]) -\n display_map.get(x.data.expected_seeds[0])\n );\n });\n d3\n .tree()\n .separation((a, b) => (a.parent == b.parent ? 1 : 1.1) / a.depth)\n .size([div_height, div_width])(tree);\n\n tree.descendants().forEach(function(v) {\n v.x2 = horizontal_rescaler(v);\n v.y2 = vertical_rescaler(v);\n });\n\n return tree;\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1619,"value":"md`Here's where we actually construct the tournament based on the input data.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":6,"value":"$3d","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":458,"value":"// Here's how I'd like the seeds to be positioned in round 1\ndisplay_map = {\n let display_order = [1, 16, 9, 8, 5, 12, 13, 4, 3, 14, 11, 6, 7, 10, 15, 2];\n let display_map = new Map();\n display_order.forEach((d, i) => display_map.set(d, i + 1));\n return display_map;\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1628,"value":"$3e","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1752,"value":"$3f","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":904,"value":"$40","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":505,"value":"// Look up the scores\nfunction get_scores(teamID1, teamID2) {\n let result = this_years_results.filter(function(o) {\n return (\n (o.WTeamID == teamID1 && o.LTeamID == teamID2) ||\n (o.WTeamID == teamID2 && o.LTeamID == teamID1)\n );\n });\n if (result.length == 1) {\n result = result[0];\n if (result.WTeamID == teamID1) {\n return [result.WScore, result.LScore].map(d => parseInt(d));\n } else if (result.LTeamID == teamID1) {\n return [result.LScore, result.WScore].map(d => parseInt(d));\n }\n } else {\n return [0, 0];\n }\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2024,"value":"function get_predicted_probability(id1, id2) {\n let i, j;\n if (id1 < id2) {\n i = id1;\n j = id2;\n } else {\n i = id2;\n j = id1;\n }\n let found;\n if (setup && setup.all_predictions) {\n found = setup.all_predictions.filter(function (o) {\n let [ir, jr] = o.id\n .split(\"_\")\n .slice(1)\n .map((x) => parseInt(x));\n if (i == ir && j == jr) {\n return true;\n }\n });\n }\n if (found && found.length > 0) {\n if (id1 < id2) {\n return parseFloat(found[0].pred);\n } else {\n return 1 - parseFloat(found[0].pred);\n }\n } else {\n return \"none\";\n }\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2258,"value":"function log_loss(game) {\n let pred = get_predicted_probability(game.WTeamID, game.LTeamID);\n return -Math.log(cut(pred));\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2450,"value":"function cut(x, eps = 1e-15) {\n let x2 = x;\n if (x < eps) {\n x2 = eps;\n } else if (x > 1 - eps) {\n x2 = 1 - eps;\n }\n return x2;\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2262,"value":"$41","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2874,"value":"setup.predictions.Men.filter((o) => 0.01 > +o.pred || +o.pred > 0.99)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2253,"value":"mutable setup = ({})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2426,"value":"// From @mbostock/pbcopy\nfunction pbcopy(text) {\n const fake = document.body.appendChild(document.createElement(\"textarea\"));\n fake.style.position = \"absolute\";\n fake.style.left = \"-9999px\";\n fake.setAttribute(\"readonly\", \"\");\n fake.value = \"\" + text;\n fake.select();\n try {\n return document.execCommand(\"copy\");\n } catch (err) {\n return false;\n } finally {\n fake.parentNode.removeChild(fake);\n }\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1634,"value":"md`### Data\n\nThe data comes from Kaggle's March madness competitions for [men](https://www.kaggle.com/c/google-cloud-ncaa-march-madness-2020-division-1-mens-tournament) and [women](https://www.kaggle.com/c/google-cloud-ncaa-march-madness-2020-division-1-womens-tournament).\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1640,"value":"md`#### Filtered for the selected tournament.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2873,"value":"this_years_results.filter((o) => !o.playin_flag)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2872,"value":"overall_brier_score = {\n let scored_results = this_years_results.filter((o) => !o.playin_flag);\n return (\n d3.sum(\n scored_results.map(\n (o) => (1 - get_predicted_probability(o.WTeamID, o.LTeamID)) ** 2\n )\n ) / scored_results.length\n );\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2871,"value":"display_results","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2870,"value":"display_brier_score = {\n let scored_results = display_results.filter((o) => !o.playin_flag);\n return (\n d3.sum(\n scored_results.map(\n (o) => (1 - get_predicted_probability(o.WTeamID, o.LTeamID)) ** 2\n )\n ) / scored_results.length\n );\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2869,"value":"display_results = {\n let c = display.slice(0, 1) == \"M\" ? 1 : 3;\n let scored_results = this_years_results.filter(\n (o) => !o.playin_flag && Math.floor(o.WTeamID / 1000) == c\n );\n return scored_results;\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":503,"value":"this_years_results = ncaa_results_2023\n// .filter(function (o) {\n// let [id1, id2] = d3.sort([o.LTeamID, o.WTeamID]);\n// let id = `2023_${id1}_${id2}`;\n// return o.playin_flag || kaggle_scored_ids.indexOf(id) > -1;\n// })\n\n// .filter(function (o) {\n// let [id1, id2] = d3.sort([o.LTeamID, o.WTeamID]);\n// let id = `2023_${id1}_${id2}`;\n// return kaggle_scored_ids.indexOf(id) > -1;\n// })\n\n// this_years_results = {\n// let results;\n// if (setup.men_or_women == \"Men\") {\n// results = mresults.filter(d => d.Season == setup.year);\n// } else {\n// results = wresults.filter(d => d.Season == setup.year);\n// }\n// results.map(function(o) {\n// o.playin_flag = check_playin(o);\n// });\n// return results;\n// }","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2867,"value":"// this_years_seed_ids = this_years_seeds.map((o) => o.TeamID)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":477,"value":"// this_years_seeds = seeds.filter((o) => o.Season == \"2023\")\n//.concat(wseeds.filter((o) => o.Season == \"2023\"))\n\n// {\n// if (setup.men_or_women == \"Men\") {\n// return mseeds.filter(d => d.Season == setup.year);\n// } else {\n// return wseeds.filter(d => d.Season == setup.year);\n// }\n// }","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2342,"value":"function check_playin(result) {\n let wteam_id = result.WTeamID;\n let wteam_seed = seeds[display].filter((o) => o.TeamID == wteam_id)[0].Seed;\n if (wteam_seed.length == 4) {\n let lteam_id = result.LTeamID;\n let lteam_seed = seeds[display].filter((o) => o.TeamID == lteam_id)[0].Seed;\n if (lteam_seed.length == 4) {\n return true;\n } else {\n return false;\n }\n } else {\n return false;\n }\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1643,"value":"md`#### All the raw data`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":693,"value":"// wresults = d3.csvParse(\n// await FileAttachment(\"WNCAATourneyCompactResults@63.csv\").text()\n// )","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1646,"value":"md`#### Maps to easily access team name from team ID`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":706,"value":"team_map = {\n let team_map = new Map();\n let mteams = d3.csvParse(await FileAttachment(\"MTeams@1.csv\").text());\n mteams.forEach(function (team) {\n team_map.set(team.TeamID, team.TeamName);\n });\n let wteams = d3.csvParse(await FileAttachment(\"WTeams@1.csv\").text());\n wteams.forEach(function (team) {\n team_map.set(team.TeamID, team.TeamName);\n });\n return team_map;\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2862,"value":"wseed_ids = seeds.Women.map((o) => o.TeamID)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2861,"value":"mseed_ids = seeds.Men.map((o) => o.TeamID)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2860,"value":"seeds = {\n let mseeds = d3.csvParse(\n await FileAttachment(\"MNCAATourneySeeds@2.csv\").text()\n );\n mseeds = mseeds.filter((o) => o.Season == 2023);\n let wseeds = d3.csvParse(\n await FileAttachment(\"WNCAATourneySeeds@3.csv\").text()\n );\n wseeds = wseeds.filter((o) => o.Season == 2023);\n return { Men: mseeds, Women: wseeds };\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":253,"value":"// mseeds = d3.csvParse(await FileAttachment(\"MNCAATourneySeeds.csv\").text())","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":277,"value":"// mresults = d3.csvParse(\n// await FileAttachment(\"MNCAATourneyCompactResults@86.csv\").text()\n// )","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2913,"value":"// seed_ids = mseed_ids.concat(wseed_ids)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2928,"value":"this_years_results.filter(function (o) {\n let [id1, id2] = d3.sort([o.LTeamID, o.WTeamID]);\n let id = `2023_${id1}_${id2}`;\n return o.playin_flag || kaggle_scored_ids.indexOf(id) > -1;\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2917,"value":"kaggle_scored_ids = kaggle_score_file\n .filter((o) => o.Usage == \"Public\")\n .map((o) => o.ID)\n// .filter(function (o) {\n// let [s1, s2] = o.ID.split(\"_\").slice(1);\n// return seed_ids.indexOf(s1) > -1 && seed_ids.indexOf(s2) > -1;\n// })","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2911,"value":"kaggle_score_file = FileAttachment(\n \"kaggle_results@1.csv\"\n).csv()","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1649,"value":"md`### Imports`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":632,"value":"import { select, radio } from \"@jashkenas/inputs\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":609,"value":"tippy = require(\"tippy.js@6\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2226,"value":"style = html``","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2857,"value":"import { ncaa_results_2023 } from \"c7bca04a9bd56e41\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1655,"value":"md`### Parameters`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":954,"value":"div_height = 0.85 * screen.availHeight\n// div_height = window.innerHeight","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1004,"value":"game_height = div_height / 20","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":964,"value":"div_width = width","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1002,"value":"team_width = div_width / 9","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1652,"value":"$42","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2902,"value":"## Computations","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":2980,"value":"preds = FileAttachment(\"FiveThirtyEightPredictions.csv\").csv({ typed: true })","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3001,"value":"d3.min(preds, (o) => Math.abs(o.pred - 0.5))","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2986,"value":"function set_score(team1ID, team2ID) {\n let game_id;\n if (team1ID < team2ID) {\n game_id = `2023_${team1ID}_${team2ID}`;\n } else {\n game_id = `2023_${team2ID}_${team1ID}`;\n }\n let pred = preds.find((game) => game.id == game_id).pred;\n let s = Math.ceil(100 * pred);\n let p = Math.random();\n if (p < pred) {\n return [s, 100 - s];\n } else {\n return [100 - s, s];\n }\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W43","stdlib":"1","titling":"auto"}} 33:"$32:body"