(10) #270 Rowan (5-16)

511.96 (14)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
141 Bryant Loss 4-12 -2.1 141 5.29% Counts (Why) Feb 10th UMass Invite 2024
46 Williams** Loss 1-13 0 34 0% Ignored (Why) Feb 10th UMass Invite 2024
162 Wesleyan Loss 9-13 3.22 45 5.51% Counts Feb 10th UMass Invite 2024
100 Vermont-B** Loss 5-13 0 190 0% Ignored (Why) Feb 10th UMass Invite 2024
148 Rochester Loss 7-15 -4.38 78 5.51% Counts (Why) Feb 11th UMass Invite 2024
146 Yale Loss 5-12 -2.9 8 5.29% Counts (Why) Feb 11th UMass Invite 2024
162 Wesleyan Loss 8-11 6.31 45 5.51% Counts Feb 11th UMass Invite 2024
143 Brown-B Loss 4-11 -2.94 28 6.02% Counts (Why) Mar 2nd Philly Special 2024
277 Stevens Tech Win 7-5 17.24 21 5.21% Counts Mar 2nd Philly Special 2024
367 Siena** Win 7-0 0 117 0% Ignored (Why) Mar 2nd Philly Special 2024
103 Bowdoin** Loss 2-13 0 5 0% Ignored (Why) Mar 3rd Philly Special 2024
143 Brown-B Loss 5-13 -3.23 28 6.56% Counts (Why) Mar 3rd Philly Special 2024
127 College of New Jersey Loss 9-12 20.14 80 6.56% Counts Mar 3rd Philly Special 2024
277 Stevens Tech Loss 8-12 -31.97 21 6.56% Counts Mar 3rd Philly Special 2024
197 Haverford Loss 6-9 -7.02 1 6.93% Counts Mar 23rd Garden State 2024
344 Lehigh-B Win 11-5 13.42 12 7.15% Counts (Why) Mar 23rd Garden State 2024
374 West Chester-B** Win 7-0 0 27 0% Ignored (Why) Mar 23rd Garden State 2024
198 Delaware Loss 7-11 -11.84 7 7.59% Counts Mar 24th Garden State 2024
281 Edinboro Win 8-6 17.17 10 6.69% Counts Mar 24th Garden State 2024
277 Stevens Tech Loss 7-8 -10.38 21 6.93% Counts Mar 24th Garden State 2024
152 West Chester Loss 5-9 -1.04 34 6.69% Counts Mar 24th Garden State 2024
**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.