(6) #143 Tulane (5-3)

917.62 (82)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
84 Rice Loss 6-8 21.23 16 12.91% Counts Feb 8th Rice Antifreeze 2025
177 Texas A&M Win 6-0 35.91 86 10.06% Counts (Why) Feb 8th Rice Antifreeze 2025
208 Texas-B** Win 12-2 0 177 0% Ignored (Why) Feb 8th Rice Antifreeze 2025
177 Texas A&M Win 6-4 10.62 86 10.91% Counts (Why) Feb 9th Rice Antifreeze 2025
128 Trinity Loss 5-10 -66.98 139 13.36% Counts Feb 9th Rice Antifreeze 2025
185 Florida Tech Win 8-4 39.99 46 15.95% Counts (Why) Mar 15th Tally Classic XIX
165 Harvard Win 8-7 -7.11 105 17.83% Counts Mar 15th Tally Classic XIX
144 Jacksonville State Loss 8-9 -35 89 18.98% Counts Mar 15th Tally Classic XIX
**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.