(14) #93 Rice (12-6)

1281.27 (133)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
232 North Texas** Win 9-0 0 46 0% Ignored (Why) Feb 17th Antifreeze 2024
196 Texas-San Antonio Win 9-4 -10.27 79 5% Counts (Why) Feb 17th Antifreeze 2024
66 Trinity Win 7-6 15.8 161 5% Counts Feb 17th Antifreeze 2024
153 Texas State Win 9-2 9.48 151 5% Counts (Why) Feb 18th Antifreeze 2024
66 Trinity Win 8-7 17.03 161 5.38% Counts Feb 18th Antifreeze 2024
32 Central Florida Loss 4-15 -5.29 2 7.62% Counts (Why) Mar 16th Womens Centex 2024
90 MIT Win 13-9 36.61 394 7.62% Counts Mar 16th Womens Centex 2024
206 Texas-B** Win 13-1 0 336 0% Ignored (Why) Mar 16th Womens Centex 2024
153 Texas State Win 13-1 14.85 151 7.62% Counts (Why) Mar 16th Womens Centex 2024
66 Trinity Loss 8-12 -21.98 161 7.62% Counts Mar 16th Womens Centex 2024
221 LSU** Win 13-0 0 175 0% Ignored (Why) Mar 17th Womens Centex 2024
66 Trinity Loss 4-12 -33.56 161 7.32% Counts (Why) Mar 17th Womens Centex 2024
48 Colorado College Loss 2-13 -28.46 95 9.6% Counts (Why) Apr 13th South Central D III Womens Conferences 2024
143 John Brown Win 8-6 -5.51 87 8.24% Counts Apr 13th South Central D III Womens Conferences 2024
133 Truman State Win 11-3 29.06 143 8.81% Counts (Why) Apr 13th South Central D III Womens Conferences 2024
66 Trinity Loss 4-5 3.53 161 6.61% Counts Apr 13th South Central D III Womens Conferences 2024
48 Colorado College Loss 5-10 -22.56 95 8.53% Counts Apr 14th South Central D III Womens Conferences 2024
223 Colorado College-B** Win 9-2 0 19 0% Ignored (Why) Apr 14th South Central D III Womens Conferences 2024
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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.