(1) #52 Purdue (18-13)

1714.07 (158)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
7 Brigham Young Loss 7-13 -0.57 176 2.2% Counts Jan 31st Florida Warm Up 2025
50 Tulane Win 10-7 8.59 267 2.08% Counts Jan 31st Florida Warm Up 2025
44 Wisconsin Loss 6-13 -12.05 149 2.2% Counts (Why) Jan 31st Florida Warm Up 2025
29 Pittsburgh Loss 6-13 -9.77 114 2.2% Counts (Why) Feb 1st Florida Warm Up 2025
144 South Florida Win 13-5 3.92 176 2.2% Counts (Why) Feb 1st Florida Warm Up 2025
44 Wisconsin Loss 8-13 -9.72 149 2.2% Counts Feb 1st Florida Warm Up 2025
32 Utah State Loss 12-13 0.29 220 2.2% Counts Feb 2nd Florida Warm Up 2025
90 Texas A&M Loss 5-9 -14.35 256 1.89% Counts Feb 2nd Florida Warm Up 2025
59 James Madison Win 13-12 2.04 212 2.47% Counts Feb 15th Queen City Tune Up 2025
62 North Carolina State Loss 8-13 -14.13 87 2.47% Counts Feb 15th Queen City Tune Up 2025
22 Penn State Loss 9-13 -3.53 166 2.47% Counts Feb 15th Queen City Tune Up 2025
88 Carnegie Mellon Win 10-7 4.35 135 2.33% Counts Feb 16th Queen City Tune Up 2025
48 North Carolina-Wilmington Win 9-8 3.89 117 2.33% Counts Feb 16th Queen City Tune Up 2025
117 Mississippi State Win 13-6 9.43 264 3.49% Counts (Why) Mar 29th Huck Finn 2025
121 Northwestern Win 15-8 7.73 290 3.49% Counts (Why) Mar 29th Huck Finn 2025
57 Oklahoma Christian Win 11-9 7.53 295 3.49% Counts Mar 29th Huck Finn 2025
72 St Olaf Win 13-8 14.03 285 3.49% Counts Mar 29th Huck Finn 2025
42 Colorado State Win 12-9 15.03 223 3.49% Counts Mar 30th Huck Finn 2025
79 Notre Dame Win 11-9 3.86 112 3.49% Counts Mar 30th Huck Finn 2025
12 Washington University Loss 11-13 5.83 153 3.49% Counts Mar 30th Huck Finn 2025
292 Ball State Win 13-6 -15.62 366 3.91% Counts (Why) Apr 12th East Plains D I Mens Conferences 2025
56 Indiana Loss 12-13 -6.52 236 3.91% Counts Apr 12th East Plains D I Mens Conferences 2025
153 Kentucky Win 13-3 6.17 213 3.91% Counts (Why) Apr 12th East Plains D I Mens Conferences 2025
79 Notre Dame Loss 12-13 -10.89 112 3.91% Counts Apr 12th East Plains D I Mens Conferences 2025
148 Grand Valley Win 13-7 5.66 213 4.39% Counts (Why) Apr 26th Great Lakes D I Mens Regionals 2025
58 Illinois Loss 10-13 -16.96 158 4.39% Counts Apr 26th Great Lakes D I Mens Regionals 2025
256 Illinois-B Win 13-6 -11.63 280 4.39% Counts (Why) Apr 26th Great Lakes D I Mens Regionals 2025
153 Kentucky Win 15-8 5.34 213 4.39% Counts (Why) Apr 26th Great Lakes D I Mens Regionals 2025
49 Chicago Win 15-8 27.54 94 4.39% Counts (Why) Apr 27th Great Lakes D I Mens Regionals 2025
56 Indiana Loss 10-12 -12.55 236 4.39% Counts Apr 27th Great Lakes D I Mens Regionals 2025
121 Northwestern Win 15-9 7.57 290 4.39% Counts Apr 27th Great Lakes D I Mens Regionals 2025
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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.