(12) #234 Claremont (11-9)

703.14 (9)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
190 Portland Win 10-6 27.72 11 4.06% Counts (Why) Feb 3rd Stanford Open 2024
129 San Jose State Loss 3-11 -7.48 73 4.06% Counts (Why) Feb 3rd Stanford Open 2024
356 Oregon State-B** Win 13-3 0 2 0% Ignored (Why) Feb 3rd Stanford Open 2024
190 Portland Loss 7-11 -14.74 11 4.56% Counts Feb 10th DIII Grand Prix
80 Lewis & Clark Loss 7-12 5.71 16 4.69% Counts Feb 10th DIII Grand Prix
286 Reed Win 13-9 6.77 9 4.69% Counts Feb 10th DIII Grand Prix
279 Whitworth Win 13-6 18.52 3 4.69% Counts (Why) Feb 10th DIII Grand Prix
284 Pacific Lutheran Win 10-9 -7.24 7 4.69% Counts Feb 11th DIII Grand Prix
59 Whitman** Loss 3-13 0 10 0% Ignored (Why) Feb 11th DIII Grand Prix
163 Xavier Win 9-7 24.71 32 4.3% Counts Feb 11th DIII Grand Prix
310 Arizona State-B Win 9-7 -7.84 41 6.08% Counts Mar 24th Southwest Showdown 2024
227 Cal State-Long Beach Win 11-6 37.85 53 6.27% Counts (Why) Mar 24th Southwest Showdown 2024
212 San Diego State Loss 5-12 -36.17 2 6.36% Counts (Why) Mar 24th Southwest Showdown 2024
273 Nevada-Reno Loss 7-10 -39.2 71 6.27% Counts Mar 24th Southwest Showdown 2024
211 Arizona Loss 3-10 -34.67 127 6.14% Counts (Why) Mar 30th 2024 Sinvite
110 Arizona State Loss 5-8 2.21 94 5.81% Counts Mar 30th 2024 Sinvite
202 California-B Loss 6-9 -19.65 9 6.24% Counts Mar 30th 2024 Sinvite
292 California-Santa Barbara-B Win 15-3 22.63 103 7.03% Counts (Why) Mar 30th 2024 Sinvite
330 California-San Diego-B Win 15-1 5.17 161 7.03% Counts (Why) Mar 31st 2024 Sinvite
285 Southern California-B Win 14-9 14.96 83 7.03% Counts Mar 31st 2024 Sinvite
**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.