(8) #19 Washington University (16-4)

1865.17 (112)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
56 Emory Win 13-5 8.21 31 4.31% Counts (Why) Feb 2nd Florida Warm Up 2024
7 Pittsburgh Loss 12-13 4.64 86 4.31% Counts Feb 2nd Florida Warm Up 2024
8 Vermont Loss 11-13 -2.5 36 4.31% Counts Feb 2nd Florida Warm Up 2024
10 Carleton College Loss 7-13 -18.57 87 4.31% Counts Feb 3rd Florida Warm Up 2024
185 South Florida** Win 13-3 0 12 0% Ignored (Why) Feb 3rd Florida Warm Up 2024
101 Cornell Win 12-11 -23.22 51 4.31% Counts Feb 4th Florida Warm Up 2024
27 Georgia Tech Win 14-13 0 17 4.31% Counts Feb 4th Florida Warm Up 2024
151 Cal Poly-SLO-B** Win 12-5 0 45 0% Ignored (Why) Mar 2nd Stanford Invite 2024
65 Stanford Win 11-7 0.37 80 5.28% Counts Mar 2nd Stanford Invite 2024
63 Western Washington Win 13-7 6.58 46 5.43% Counts (Why) Mar 2nd Stanford Invite 2024
35 California-Santa Cruz Win 10-9 -5.91 50 5.43% Counts Mar 3rd Stanford Invite 2024
6 Oregon Loss 7-12 -15.87 35 5.43% Counts Mar 3rd Stanford Invite 2024
44 Tulane Win 12-8 6.76 21 5.43% Counts Mar 3rd Stanford Invite 2024
50 Alabama Win 12-7 11.52 3 6.84% Counts (Why) Mar 30th Huck Finn 2024
76 Purdue Win 12-6 5.09 56 6.66% Counts (Why) Mar 30th Huck Finn 2024
49 St Olaf Win 12-9 -1.22 64 6.84% Counts Mar 30th Huck Finn 2024
66 Virginia Win 11-8 -7.74 111 6.84% Counts Mar 30th Huck Finn 2024
67 Chicago Win 11-5 8.16 40 6.28% Counts (Why) Mar 31st Huck Finn 2024
49 St Olaf Win 13-7 14.36 64 6.84% Counts (Why) Mar 31st Huck Finn 2024
65 Stanford Win 13-6 10.26 80 6.84% Counts (Why) Mar 31st Huck Finn 2024
**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.