(3) #222 Trinity (3-3)

746.79 (142)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
133 Missouri Loss 11-14 6.51 22 16.67% Counts Feb 22nd Dust Bowl 2020
271 Grinnell Win 14-5 69.85 445 16.67% Counts (Why) Feb 22nd Dust Bowl 2020
246 Texas-B Win 15-6 103.26 130 16.67% Counts (Why) Feb 22nd Dust Bowl 2020
223 Oklahoma Christian Loss 7-15 -120 98 16.67% Counts (Why) Feb 23rd Dust Bowl 2020
154 Pacific Lutheran Loss 5-15 -69.47 83 16.67% Counts (Why) Feb 23rd Dust Bowl 2020
259 Washington University-B-B Win 15-13 9.85 77 16.67% Counts Feb 23rd Dust Bowl 2020
**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.