(8) #116 West Chester (14-5)

1192.17 (101)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
223 Colby Win 9-5 1.87 103 4.14% Counts (Why) Feb 22nd Bring The Huckus 2025
171 Dickinson Win 9-8 -5.44 75 4.56% Counts Feb 22nd Bring The Huckus 2025
218 MIT Win 8-7 -14.66 84 4.28% Counts Feb 22nd Bring The Huckus 2025
171 Dickinson Loss 14-15 -18.42 75 4.82% Counts Feb 23rd Bring The Huckus 2025
217 Haverford Win 12-8 -0.48 95 4.82% Counts Feb 23rd Bring The Huckus 2025
246 Skidmore Win 15-9 -2.34 167 4.82% Counts Feb 23rd Bring The Huckus 2025
56 Cornell Loss 7-11 -7.06 82 4.97% Counts Mar 1st Oak Creek Challenge 2025
105 Liberty Win 7-2 24.64 86 3.7% Counts (Why) Mar 1st Oak Creek Challenge 2025
226 SUNY-Albany Win 12-3 5.4 74 4.9% Counts (Why) Mar 1st Oak Creek Challenge 2025
157 Johns Hopkins Loss 8-11 -29.69 47 5.1% Counts Mar 2nd Oak Creek Challenge 2025
113 Lehigh Win 9-7 14.32 4 4.68% Counts Mar 2nd Oak Creek Challenge 2025
138 RIT Win 11-10 1.38 21 5.1% Counts Mar 2nd Oak Creek Challenge 2025
157 Johns Hopkins Win 11-8 12.32 47 6.43% Counts Mar 29th East Coast Invite 2025
179 Pennsylvania Win 14-5 21.98 1 6.43% Counts (Why) Mar 29th East Coast Invite 2025
83 SUNY-Buffalo Loss 7-13 -29.47 278 6.43% Counts Mar 29th East Coast Invite 2025
102 Syracuse Loss 10-15 -26.49 140 6.43% Counts Mar 29th East Coast Invite 2025
98 Boston College Win 11-10 14.06 296 6.43% Counts Mar 30th East Coast Invite 2025
131 Pittsburgh-B Win 13-11 10.86 64 6.43% Counts Mar 30th East Coast Invite 2025
128 SUNY-Binghamton Win 9-5 27.17 178 5.52% Counts (Why) Mar 30th East Coast Invite 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.