(16) #225 Arkansas (8-12)

976.3 (214)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
100 Alabama Loss 6-13 -4.8 227 4.15% Counts (Why) Feb 22nd Mardi Gras XXXVII
293 Trinity Win 9-7 1.25 149 3.81% Counts Feb 22nd Mardi Gras XXXVII
132 Florida State Loss 6-12 -9.61 244 4.04% Counts Feb 22nd Mardi Gras XXXVII
117 Mississippi State Loss 3-13 -8.71 264 4.15% Counts (Why) Feb 22nd Mardi Gras XXXVII
293 Trinity Win 9-8 -6.01 149 4.67% Counts Mar 15th Mens Centex 2025
130 North Texas Loss 5-13 -12.78 220 4.94% Counts (Why) Mar 15th Mens Centex 2025
283 Texas State Win 10-5 16.53 238 4.39% Counts (Why) Mar 15th Mens Centex 2025
245 Texas-Dallas Win 9-8 2.45 255 4.67% Counts Mar 15th Mens Centex 2025
117 Mississippi State Loss 10-15 -2.84 264 4.94% Counts Mar 16th Mens Centex 2025
183 Tarleton State Win 15-8 38.27 453 4.94% Counts (Why) Mar 16th Mens Centex 2025
85 Boston College Loss 10-15 4.48 244 4.94% Counts Mar 16th Mens Centex 2025
12 Washington University Loss 8-15 37.36 153 6.22% Counts Apr 12th Ozarks D I Mens Conferences 2025
205 Missouri State Loss 10-12 -11.3 326 6.22% Counts Apr 12th Ozarks D I Mens Conferences 2025
309 Washington University-B Win 10-9 -13.95 323 6.22% Counts Apr 12th Ozarks D I Mens Conferences 2025
205 Missouri State Loss 11-13 -10.68 326 6.22% Counts Apr 12th Ozarks D I Mens Conferences 2025
322 Kansas State Win 15-7 14.92 332 6.22% Counts (Why) Apr 13th Ozarks D I Mens Conferences 2025
272 Oklahoma Win 12-10 4.45 381 6.22% Counts Apr 13th Ozarks D I Mens Conferences 2025
205 Missouri State Loss 8-10 -12.56 326 6.06% Counts Apr 13th Ozarks D I Mens Conferences 2025
5 Colorado** Loss 2-15 0 126 0% Ignored (Why) Apr 26th South Central D I College Mens Regionals 2025
201 Saint Louis Loss 8-12 -26.83 208 6.98% Counts Apr 26th South Central D I College Mens Regionals 2025
**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.