(60) #376 SUNY-Fredonia (5-15)

308.89 (35)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
367 Dartmouth-B Loss 10-11 -1.48 133 8.29% Counts Mar 16th Free Tournament
374 New Jersey Tech Loss 7-8 -8.76 160 7.36% Counts Mar 16th Free Tournament
411 RIT-B Win 11-5 2.07 102 7.6% Counts (Why) Mar 16th Free Tournament
170 Villanova** Loss 2-13 0 293 0% Ignored (Why) Mar 16th Free Tournament
367 Dartmouth-B Win 12-8 49.67 133 8.29% Counts Mar 17th Free Tournament
374 New Jersey Tech Win 8-7 11.11 160 7.36% Counts Mar 17th Free Tournament
234 Haverford** Loss 5-13 0 163 0% Ignored (Why) Mar 30th Layout Pigout 2024
150 West Chester** Loss 1-13 0 288 0% Ignored (Why) Mar 30th Layout Pigout 2024
407 West Chester-B Win 11-6 10.16 200 8.8% Counts (Why) Mar 30th Layout Pigout 2024
407 West Chester-B Win 9-3 13.23 200 7.69% Counts (Why) Mar 30th Layout Pigout 2024
249 Colgate** Loss 4-13 0 0% Ignored (Why) Apr 20th Western NY D III Mens Conferences 2024
117 Rochester** Loss 0-11 0 391 0% Ignored (Why) Apr 20th Western NY D III Mens Conferences 2024
181 SUNY-Cortland** Loss 2-10 0 145 0% Ignored (Why) Apr 20th Western NY D III Mens Conferences 2024
267 SUNY-Geneseo Loss 4-14 -4.65 234 11.06% Counts (Why) Apr 20th Western NY D III Mens Conferences 2024
252 Hamilton Loss 6-12 5.15 10.77% Counts Apr 21st Western NY D III Mens Conferences 2024
326 SUNY-Oneonta Loss 9-14 -20.79 11.06% Counts Apr 21st Western NY D III Mens Conferences 2024
117 Rochester** Loss 3-15 0 391 0% Ignored (Why) Apr 27th Metro East D III College Mens Regionals 2024
245 Skidmore** Loss 5-15 0 274 0% Ignored (Why) Apr 27th Metro East D III College Mens Regionals 2024
205 Vassar** Loss 0-15 0 0% Ignored (Why) Apr 27th Metro East D III College Mens Regionals 2024
364 Rensselaer Polytech Loss 8-15 -58.6 415 11.72% Counts Apr 28th Metro East D III College Mens Regionals 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.