(2) #77 Penn State (8-10)

1497.26 (100)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
57 James Madison Loss 3-10 -23.69 128 5.39% Counts (Why) Jan 25th Winta Binta Vinta 2025
21 Ohio State** Loss 1-12 0 145 0% Ignored (Why) Jan 25th Winta Binta Vinta 2025
245 Virginia-B** Win 10-0 0 0% Ignored (Why) Jan 25th Winta Binta Vinta 2025
32 Georgetown Loss 4-8 -2.84 78 4.9% Counts Jan 26th Winta Binta Vinta 2025
48 Liberty Win 7-6 24.06 79 5.1% Counts Jan 26th Winta Binta Vinta 2025
140 North Carolina-Wilmington Win 9-5 2.52 117 5.3% Counts (Why) Jan 26th Winta Binta Vinta 2025
134 Catholic Win 6-2 9.41 77 5.51% Counts (Why) Mar 1st Cherry Blossom Classic 2025
210 Johns Hopkins** Win 9-0 0 51 0% Ignored (Why) Mar 1st Cherry Blossom Classic 2025
204 William & Mary-B** Win 9-0 0 56 0% Ignored (Why) Mar 1st Cherry Blossom Classic 2025
113 George Washington Win 8-3 21.55 86 6.41% Counts (Why) Mar 2nd Cherry Blossom Classic 2025
40 Haverford/Bryn Mawr Loss 1-9 -18.56 181 6.81% Counts (Why) Mar 2nd Cherry Blossom Classic 2025
56 Maryland Loss 6-9 -17.15 166 7.32% Counts Mar 2nd Cherry Blossom Classic 2025
80 Carnegie Mellon Loss 5-7 -31.44 612 8.25% Counts Mar 29th East Coast Invite 2025
56 Maryland Loss 4-6 -13.37 166 7.53% Counts Mar 29th East Coast Invite 2025
36 MIT Loss 6-10 -9.91 295 9.52% Counts Mar 29th East Coast Invite 2025
49 William & Mary Loss 7-8 19.47 207 9.22% Counts Mar 29th East Coast Invite 2025
27 Northeastern Loss 6-9 17.96 184 9.22% Counts Mar 30th East Coast Invite 2025
112 West Chester Win 10-6 22.37 93 9.52% Counts (Why) Mar 30th East Coast Invite 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.