(27) #124 Macalester (11-8)

1146.58 (112)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
78 Carleton College-CHOP Loss 8-12 -11.77 7 4.7% Counts Feb 10th Ugly Dome 2024
140 Minnesota-B Win 12-10 8.36 151 4.7% Counts Feb 10th Ugly Dome 2024
299 Minnesota-C Win 10-7 -18.57 274 4.44% Counts Feb 10th Ugly Dome 2024
49 St Olaf Loss 9-10 11.41 64 4.7% Counts Feb 10th Ugly Dome 2024
95 Wisconsin-Eau Claire Loss 4-13 -24.47 30 4.7% Counts (Why) Feb 10th Ugly Dome 2024
83 Northwestern Loss 8-11 -10.45 140 5.58% Counts Mar 2nd Midwest Throwdown 2024
176 Saint Louis Win 9-5 15.55 51 4.79% Counts (Why) Mar 2nd Midwest Throwdown 2024
259 Wisconsin-B Win 8-7 -24.08 34 4.96% Counts Mar 2nd Midwest Throwdown 2024
78 Carleton College-CHOP Loss 5-8 -12.17 7 4.62% Counts Mar 3rd Midwest Throwdown 2024
170 Minnesota-Duluth Loss 3-4 -11.26 109 3.39% Counts Mar 3rd Midwest Throwdown 2024
161 Truman State Win 8-6 7.38 49 4.79% Counts Mar 3rd Midwest Throwdown 2024
95 Wisconsin-Eau Claire Loss 6-9 -16.45 30 4.96% Counts Mar 3rd Midwest Throwdown 2024
140 Minnesota-B Win 7-6 3.28 151 5.49% Counts Mar 23rd Minneapolis Makeup
265 Eastern Michigan Win 9-4 -0.78 5.82% Counts (Why) Mar 30th Old Capitol Open 2024
255 St John's (Minnesota) Win 13-6 2.91 168 7.04% Counts (Why) Mar 30th Old Capitol Open 2024
180 Wisconsin-La Crosse Win 10-3 23.03 106 6.15% Counts (Why) Mar 30th Old Capitol Open 2024
69 Colorado Mines Win 8-7 23.2 356 6.25% Counts Mar 31st Old Capitol Open 2024
93 Colorado-B Win 10-6 42.5 387 6.46% Counts (Why) Mar 31st Old Capitol Open 2024
81 Iowa Loss 7-9 -6.1 66 6.46% Counts Mar 31st Old Capitol Open 2024
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FAQ

The results on this page ("USAU") are the results of an implementation of the USA Ultimate Top 20 algorithm, which is used to allocate post season bids to both colleg and club ultimate teams. The data was obtained by scraping USAU's score reporting website. Learn more about the algorithm here. TL;DR, here is the rating function. Every game a team plays gets a rating equal to the opponents rating +/- the score value. With all these data points, we iterate team ratings until convergence. There is also a rule for discounting blowout games (see next FAQ)
For reference, here is handy table with frequent game scrores and the resulting game value:
"...if a team is rated more than 600 points higher than its opponent, and wins with a score that is more than twice the losing score plus one, the game is ignored for ratings purposes. However, this is only done if the winning team has at least N other results that are not being ignored, where N=5."

Translation: if a team plays a game where even earning the max point win would hurt them, they can have the game ignored provided they win by enough and have suffficient unignored results.