(7) #75 Wesleyan (16-6)

1599.36 (168)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
123 Connecticut Loss 6-7 -11.86 181 3.16% Counts Mar 1st UMass Invite 2025
36 Middlebury Loss 9-12 -4.99 221 3.81% Counts Mar 1st UMass Invite 2025
206 Tufts-B Loss 6-9 -34.23 4 3.39% Counts Mar 1st UMass Invite 2025
111 Vermont-B Loss 8-10 -17.11 224 3.71% Counts Mar 1st UMass Invite 2025
105 Boston University Win 11-8 8.56 282 3.81% Counts Mar 2nd UMass Invite 2025
108 Columbia Win 11-8 8.32 224 3.81% Counts Mar 2nd UMass Invite 2025
134 Maine Win 13-8 8.78 186 3.81% Counts Mar 2nd UMass Invite 2025
133 Bates Win 13-8 11.22 266 4.81% Counts Mar 29th Easterns 2025
33 Elon Win 13-11 23.84 238 4.81% Counts Mar 29th Easterns 2025
36 Middlebury Loss 8-13 -13.96 221 4.81% Counts Mar 29th Easterns 2025
33 Elon Loss 13-15 1.47 238 4.81% Counts Mar 30th Easterns 2025
67 Franciscan Win 15-12 17.14 228 4.81% Counts Mar 30th Easterns 2025
40 Lewis & Clark Win 14-11 26.34 148 4.81% Counts Mar 30th Easterns 2025
311 Hartford Win 13-6 -20.97 5.4% Counts (Why) Apr 12th Hudson Valley D III Mens Conferences 2025
415 New Haven** Win 13-0 0 0% Ignored (Why) Apr 12th Hudson Valley D III Mens Conferences 2025
235 Skidmore Win 13-6 -4.13 297 5.4% Counts (Why) Apr 12th Hudson Valley D III Mens Conferences 2025
235 Skidmore Win 15-8 -6.13 297 5.4% Counts (Why) Apr 13th Hudson Valley D III Mens Conferences 2025
192 Vassar Win 15-7 5.34 300 5.4% Counts (Why) Apr 13th Hudson Valley D III Mens Conferences 2025
254 Colgate Win 13-7 -11.58 6.06% Counts (Why) Apr 26th Metro East D III College Mens Regionals 2025
267 SUNY-Geneseo Win 12-6 -13.18 329 5.89% Counts (Why) Apr 26th Metro East D III College Mens Regionals 2025
192 Vassar Win 13-5 6.04 300 6.06% Counts (Why) Apr 26th Metro East D III College Mens Regionals 2025
81 Rochester Win 15-11 21.72 215 6.06% Counts Apr 27th Metro East D III College Mens Regionals 2025
**Blowout Eligible. Learn more about how this works here.

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.