(2) #150 West Chester (14-9)

1314.53 (288)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
77 Carnegie Mellon Loss 6-13 -13.31 289 4.15% Counts (Why) Mar 2nd Oak Creek Challenge 2024
147 Maryland-Baltimore County Loss 9-11 -10.74 388 4.15% Counts Mar 2nd Oak Creek Challenge 2024
162 Rutgers Loss 7-8 -6.02 331 3.69% Counts Mar 2nd Oak Creek Challenge 2024
289 Drexel Win 13-7 0.55 296 4.15% Counts (Why) Mar 3rd Oak Creek Challenge 2024
217 George Washington Win 13-8 10.41 255 4.15% Counts Mar 3rd Oak Creek Challenge 2024
148 Johns Hopkins Win 11-8 15.87 296 4.15% Counts Mar 3rd Oak Creek Challenge 2024
175 Delaware Win 11-5 24.09 387 4.53% Counts (Why) Mar 23rd Garden State 2024
198 Messiah Win 10-7 10.01 297 4.67% Counts Mar 23rd Garden State 2024
212 West Virginia Win 8-7 -5.05 260 4.39% Counts Mar 23rd Garden State 2024
234 Haverford Win 13-8 9.41 163 4.94% Counts Mar 24th Garden State 2024
198 Messiah Win 13-10 7.41 297 4.94% Counts Mar 24th Garden State 2024
272 Rowan Win 9-5 3.16 345 4.24% Counts (Why) Mar 24th Garden State 2024
170 Villanova Loss 8-9 -9.19 293 4.67% Counts Mar 24th Garden State 2024
234 Haverford Loss 8-11 -37.59 163 5.23% Counts Mar 30th Layout Pigout 2024
376 SUNY-Fredonia** Win 13-1 0 35 0% Ignored (Why) Mar 30th Layout Pigout 2024
407 West Chester-B** Win 13-1 0 200 0% Ignored (Why) Mar 30th Layout Pigout 2024
289 Drexel Win 11-3 3.14 296 5.39% Counts (Why) Apr 13th East Penn D I Mens Conferences 2024
92 Pennsylvania Win 9-6 35.43 392 5.22% Counts Apr 13th East Penn D I Mens Conferences 2024
170 Villanova Win 13-2 33.54 293 5.87% Counts (Why) Apr 13th East Penn D I Mens Conferences 2024
97 Lehigh Loss 8-11 -9.6 381 5.87% Counts Apr 13th East Penn D I Mens Conferences 2024
92 Pennsylvania Loss 4-10 -20.29 392 5.13% Counts (Why) Apr 14th East Penn D I Mens Conferences 2024
56 Temple Loss 5-11 -9.73 309 5.39% Counts (Why) Apr 14th East Penn D I Mens Conferences 2024
170 Villanova Loss 5-9 -31.42 293 5.04% Counts Apr 14th East Penn D I Mens Conferences 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.