(1) #33 Ohio State (12-7)

1633.9 (145)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
80 American Win 10-1 6.32 154 4.32% Counts (Why) Jan 28th Winta Binta Vinta
130 Liberty** Win 9-2 0 124 0% Ignored (Why) Jan 28th Winta Binta Vinta
145 Virginia-B** Win 11-2 0 133 0% Ignored (Why) Jan 28th Winta Binta Vinta
62 William & Mary Win 10-4 11 136 4.32% Counts (Why) Jan 28th Winta Binta Vinta
62 William & Mary Win 9-0 10.39 136 4.09% Counts (Why) Jan 29th Winta Binta Vinta
14 Virginia Loss 7-12 -11.64 139 4.95% Counts Jan 29th Winta Binta Vinta
47 Florida Win 12-8 18.29 142 6.23% Counts Feb 25th Commonwealth Cup Weekend2 2023
71 Massachusetts Win 15-7 13.26 145 6.23% Counts (Why) Feb 25th Commonwealth Cup Weekend2 2023
95 Temple** Win 15-6 0 173 0% Ignored (Why) Feb 25th Commonwealth Cup Weekend2 2023
30 South Carolina Loss 7-9 -15.31 133 5.72% Counts Feb 26th Commonwealth Cup Weekend2 2023
89 Columbia Win 11-8 -12.6 158 6.23% Counts Feb 26th Commonwealth Cup Weekend2 2023
14 Virginia Loss 8-13 -13.25 139 6.23% Counts Feb 26th Commonwealth Cup Weekend2 2023
18 Colorado State Loss 7-13 -30.41 143 7.41% Counts Mar 18th Womens Centex1
10 Northeastern Loss 4-13 -7.97 146 7.41% Counts (Why) Mar 18th Womens Centex1
44 Pennsylvania Win 11-7 24.67 147 7.21% Counts Mar 18th Womens Centex1
36 Brown Win 13-10 21.96 143 7.41% Counts Mar 19th Womens Centex1
31 California Loss 10-12 -17.13 142 7.41% Counts Mar 19th Womens Centex1
14 Virginia Loss 8-13 -15.96 139 7.41% Counts Mar 19th Womens Centex1
35 Michigan Win 12-10 17.91 145 7.41% Counts Mar 19th Womens Centex1
**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.