(20) #109 Tarleton State (15-4)

1467.61 (181)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
258 North Texas Win 10-4 2.35 263 4.54% Counts (Why) Mar 9th Centex Tier 2 2024
253 Rice Win 13-5 3.4 253 5.2% Counts (Why) Mar 9th Centex Tier 2 2024
128 Houston Loss 14-15 -11.2 281 5.2% Counts Mar 10th Centex Tier 2 2024
211 San Diego State Win 15-13 -9.5 309 5.2% Counts Mar 10th Centex Tier 2 2024
167 Texas-San Antonio Win 15-11 9.57 321 5.2% Counts Mar 10th Centex Tier 2 2024
366 Dallas** Win 15-6 0 267 0% Ignored (Why) Mar 23rd Huckfest 2024
295 Texas A&M-B** Win 15-3 0 385 0% Ignored (Why) Mar 23rd Huckfest 2024
190 Texas-Dallas Win 15-9 12.77 400 5.83% Counts Mar 23rd Huckfest 2024
73 Ave Maria Win 14-10 33.8 255 5.83% Counts Mar 24th Huckfest 2024
229 Baylor Win 14-5 9.41 280 5.83% Counts (Why) Mar 24th Huckfest 2024
229 Baylor Win 11-9 -14.82 280 6.94% Counts Apr 13th North Texas D I Mens Conferences 2024
258 North Texas Win 15-6 3.69 263 6.94% Counts (Why) Apr 13th North Texas D I Mens Conferences 2024
266 Texas Tech Win 15-7 1.57 334 6.94% Counts (Why) Apr 13th North Texas D I Mens Conferences 2024
190 Texas-Dallas Win 12-10 -5.3 400 6.94% Counts Apr 13th North Texas D I Mens Conferences 2024
258 North Texas Win 13-6 3.69 263 6.94% Counts (Why) Apr 14th North Texas D I Mens Conferences 2024
190 Texas-Dallas Loss 13-15 -39.01 400 6.94% Counts Apr 14th North Texas D I Mens Conferences 2024
51 Missouri Loss 10-12 4.99 250 7.78% Counts Apr 27th South Central D I College Mens Regionals 2024
10 Texas** Loss 5-15 0 310 0% Ignored (Why) Apr 27th South Central D I College Mens Regionals 2024
190 Texas-Dallas Win 12-10 -6.01 400 7.78% Counts Apr 27th South Central D I College Mens Regionals 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.