() #14 Texas (13-6) SC 2

1936.64 (30)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
82 Central Florida Win 13-3 0.03 52 4.71% Counts (Why) Feb 2nd Florida Warm Up 2024
74 Cincinnati Win 11-9 -16.11 6 4.71% Counts Feb 2nd Florida Warm Up 2024
4 Massachusetts Loss 12-13 8.56 47 4.71% Counts Feb 2nd Florida Warm Up 2024
2 Georgia Loss 9-15 -8.85 80 4.71% Counts Feb 3rd Florida Warm Up 2024
33 Wisconsin Win 12-3 14.61 14 4.52% Counts (Why) Feb 3rd Florida Warm Up 2024
21 Tufts Win 13-8 19.17 79 4.71% Counts Feb 3rd Florida Warm Up 2024
12 Alabama-Huntsville Win 10-8 15.35 3 4.58% Counts Feb 4th Florida Warm Up 2024
9 Brown Loss 10-13 -15.11 49 5.93% Counts Mar 2nd Smoky Mountain Invite 2024
15 California Loss 12-13 -8.66 35 5.93% Counts Mar 2nd Smoky Mountain Invite 2024
92 Tennessee Win 13-6 -4.38 16 5.93% Counts (Why) Mar 2nd Smoky Mountain Invite 2024
8 Vermont Loss 11-15 -17.6 36 5.93% Counts Mar 2nd Smoky Mountain Invite 2024
11 Minnesota Loss 14-15 -3.74 102 5.93% Counts Mar 3rd Smoky Mountain Invite 2024
23 UCLA Win 15-10 20.51 49 5.93% Counts Mar 3rd Smoky Mountain Invite 2024
21 Tufts Win 15-11 17.22 79 5.93% Counts Mar 3rd Smoky Mountain Invite 2024
17 Brigham Young Win 13-12 4.55 39 6.65% Counts Mar 15th College Mens Centex Tier 1
98 Dartmouth Win 13-7 -9.51 16 6.65% Counts (Why) Mar 16th College Mens Centex Tier 1
121 Iowa State** Win 13-3 0 41 0% Ignored (Why) Mar 16th College Mens Centex Tier 1
31 Middlebury Win 8-7 -9.71 9 5.91% Counts Mar 16th College Mens Centex Tier 1
37 Texas A&M Win 11-9 -6.88 2 6.65% Counts Mar 17th College Mens Centex Tier 1
**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.