() #208 Texas-B (3-16)

125.3 (47)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
134 Arizona State Loss 1-11 -5.45 35 6.51% Counts (Why) Feb 12th Antifreeze 2022
169 Houston Loss 3-6 -12.86 48 4.88% Counts Feb 12th Antifreeze 2022
132 Trinity Loss 2-12 -4.84 51 6.81% Counts (Why) Feb 12th Antifreeze 2022
219 Texas-San Antonio Win 8-7 2.85 44 6.3% Counts Feb 12th Antifreeze 2022
98 Rice** Loss 4-13 0 95 0% Ignored (Why) Feb 13th Antifreeze 2022
123 Tulane Loss 4-8 2.19 57 5.64% Counts Feb 13th Antifreeze 2022
165 North Texas Loss 5-8 -10.1 48 7.83% Counts Mar 19th Womens Centex
132 Trinity Loss 2-9 -5.64 51 7.83% Counts (Why) Mar 19th Womens Centex
82 Texas A&M** Loss 4-11 0 40 0% Ignored (Why) Mar 19th Womens Centex
219 Texas-San Antonio Win 8-5 31.52 44 7.83% Counts (Why) Mar 19th Womens Centex
64 Iowa** Loss 2-11 0 29 0% Ignored (Why) Mar 20th Womens Centex
85 Texas-Dallas** Loss 2-10 0 47 0% Ignored (Why) Mar 20th Womens Centex
219 Texas-San Antonio Win 8-2 41.13 44 7.37% Counts (Why) Mar 20th Womens Centex
165 North Texas Loss 4-9 -29.04 48 9.87% Counts (Why) Apr 16th Texas D I College Womens CC 2022
19 Texas** Loss 1-13 0 30 0% Ignored (Why) Apr 16th Texas D I College Womens CC 2022
77 Texas State** Loss 2-11 0 46 0% Ignored (Why) Apr 16th Texas D I College Womens CC 2022
85 Texas-Dallas Loss 6-10 46.82 47 10.95% Counts Apr 16th Texas D I College Womens CC 2022
169 Houston Loss 2-5 -23.73 48 7.24% Counts (Why) Apr 17th Texas D I College Womens CC 2022
165 North Texas Loss 5-11 -32.61 48 10.95% Counts (Why) Apr 17th Texas D I College Womens CC 2022
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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.