() #229 Wooster (0-6)

-98.55 (161)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
191 Indiana Loss 4-13 -41.76 248 21.34% Counts (Why) Mar 5th Huckleberry Flick 2022
135 Dayton** Loss 1-8 0 198 0% Ignored (Why) Mar 5th Huckleberry Flick 2022
207 Miami (Ohio) Loss 6-8 -4.91 152 18.32% Counts Mar 5th Huckleberry Flick 2022
176 Kenyon Loss 9-11 117.53 113 30.17% Counts Apr 16th Ohio D III College Womens CC 2022
114 Cedarville** Loss 1-13 0 40 0% Ignored (Why) Apr 16th Ohio D III College Womens CC 2022
190 Oberlin Loss 4-13 -64.75 72 30.17% Counts (Why) Apr 16th Ohio D III College Womens CC 2022
**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.