(7) #105 Liberty (13-5)

1232.91 (86)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
199 North Carolina State-B Win 10-6 4.34 404 5.13% Counts (Why) Feb 15th 2025 Commonwealth Cup Weekend 1
230 West Virginia Win 10-5 1.38 184 4.97% Counts (Why) Feb 15th 2025 Commonwealth Cup Weekend 1
344 South Carolina-B** Win 11-0 0 190 0% Ignored (Why) Feb 15th 2025 Commonwealth Cup Weekend 1
11 Davenport** Loss 4-11 0 377 0% Ignored (Why) Feb 16th 2025 Commonwealth Cup Weekend 1
99 Oberlin Loss 6-7 -4.45 82 4.62% Counts Feb 16th 2025 Commonwealth Cup Weekend 1
56 Cornell Loss 2-13 -20.68 82 6.27% Counts (Why) Mar 1st Oak Creek Challenge 2025
226 SUNY-Albany Win 10-7 -9.22 74 5.93% Counts Mar 1st Oak Creek Challenge 2025
116 West Chester Loss 2-7 -30.56 101 4.55% Counts (Why) Mar 1st Oak Creek Challenge 2025
336 SUNY-Cortland Win 11-5 -26.96 243 5.76% Counts (Why) Mar 2nd Oak Creek Challenge 2025
83 SUNY-Buffalo Win 8-7 12.58 278 5.57% Counts Mar 2nd Oak Creek Challenge 2025
226 SUNY-Albany Win 11-4 3.92 74 5.76% Counts (Why) Mar 2nd Oak Creek Challenge 2025
97 Duke Win 14-7 50.27 42 7.46% Counts (Why) Mar 22nd Atlantic Coast Open 2025
159 George Mason Win 10-8 2.16 43 7.26% Counts Mar 22nd Atlantic Coast Open 2025
170 Massachusetts -B Win 11-10 -11.94 70 7.46% Counts Mar 22nd Atlantic Coast Open 2025
276 Virginia Tech-B Win 12-6 -13.78 86 7.26% Counts (Why) Mar 22nd Atlantic Coast Open 2025
96 Appalachian State Loss 12-15 -20.88 68 7.46% Counts Mar 23rd Atlantic Coast Open 2025
113 Lehigh Win 12-10 16.89 4 7.46% Counts Mar 23rd Atlantic Coast Open 2025
81 North Carolina-Charlotte Win 11-6 48.3 26 7.06% Counts (Why) Mar 23rd Atlantic Coast Open 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.