(6) #89 Trinity (15-5)

1294.64 (2)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
213 North Texas** Win 7-2 0 4 0% Ignored (Why) Feb 17th Antifreeze 2024
107 Rice Loss 6-7 -17.47 3 6.04% Counts Feb 17th Antifreeze 2024
186 Texas-San Antonio** Win 8-2 0 5 0% Ignored (Why) Feb 17th Antifreeze 2024
107 Rice Loss 7-8 -18.86 3 6.49% Counts Feb 18th Antifreeze 2024
153 Texas A&M Win 13-4 5.56 2 7.3% Counts (Why) Feb 18th Antifreeze 2024
153 Texas A&M Win 8-3 4.25 2 5.68% Counts (Why) Feb 18th Antifreeze 2024
33 Central Florida Loss 3-13 -6.29 12 7.74% Counts (Why) Feb 24th Mardi Gras XXXVI college
136 Florida State Win 12-4 17.28 13 7.43% Counts (Why) Feb 24th Mardi Gras XXXVI college
184 Jacksonville State** Win 11-4 0 17 0% Ignored (Why) Feb 24th Mardi Gras XXXVI college
211 LSU** Win 13-0 0 8 0% Ignored (Why) Feb 24th Mardi Gras XXXVI college
142 Boston College Win 10-8 -14.39 44 7.53% Counts Feb 25th Mardi Gras XXXVI college
33 Central Florida Loss 6-8 15.97 12 6.64% Counts Feb 25th Mardi Gras XXXVI college
185 Tulane** Win 13-3 0 17 0% Ignored (Why) Feb 25th Mardi Gras XXXVI college
60 Colorado College Loss 7-11 -23.91 28 8.96% Counts Mar 16th Womens Centex 2024
211 LSU** Win 13-1 0 8 0% Ignored (Why) Mar 16th Womens Centex 2024
134 MIT Win 12-9 -3.75 17 9.2% Counts Mar 16th Womens Centex 2024
107 Rice Win 12-8 29.83 3 9.2% Counts Mar 16th Womens Centex 2024
158 Texas State Win 10-8 -31.66 0 8.96% Counts Mar 16th Womens Centex 2024
107 Rice Win 12-4 43.9 3 8.83% Counts (Why) Mar 17th Womens Centex 2024
214 Texas-B** Win 10-4 0 4 0% Ignored (Why) Mar 17th Womens Centex 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.