(3) #234 Penn State-B (13-7)

656.34 (77)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
112 Bowdoin Loss 8-12 5.59 174 4.96% Counts Mar 1st Garden State 2025
279 Brown-B Win 7-5 5.66 101 3.94% Counts Mar 1st Garden State 2025
217 Haverford Loss 7-8 -1.83 95 4.4% Counts Mar 1st Garden State 2025
151 Rhode Island Loss 2-5 -6.36 140 3.01% Counts (Why) Mar 1st Garden State 2025
279 Brown-B Win 9-6 10.52 101 4.4% Counts Mar 2nd Garden State 2025
151 Rhode Island Loss 7-10 0.25 140 4.69% Counts Mar 2nd Garden State 2025
231 Salisbury Loss 2-3 -2.52 207 2.54% Counts Mar 2nd Garden State 2025
305 Northeastern-C Win 9-8 -10.19 15 5.58% Counts Mar 22nd Jersey Devil 2025
372 West Chester-B Win 13-7 -11.04 21 5.9% Counts (Why) Mar 22nd Jersey Devil 2025
324 Villanova Win 9-6 1.23 44 5.24% Counts Mar 22nd Jersey Devil 2025
366 Dartmouth-B** Win 13-3 0 6 0% Ignored (Why) Mar 23rd Jersey Devil 2025
349 Lehigh-B Win 13-3 3.62 42 5.9% Counts (Why) Mar 23rd Jersey Devil 2025
305 Northeastern-C Win 15-12 0.19 15 5.9% Counts Mar 23rd Jersey Devil 2025
347 Army Win 13-3 4.13 51 6.25% Counts (Why) Mar 29th Northeast Classic 2025
235 College of New Jersey Win 11-10 8.3 192 6.25% Counts Mar 29th Northeast Classic 2025
217 Haverford Win 10-8 22.52 95 6.08% Counts Mar 29th Northeast Classic 2025
336 SUNY-Cortland Win 13-4 9.01 243 6.25% Counts (Why) Mar 29th Northeast Classic 2025
176 Ithaca Loss 7-13 -18.77 155 6.25% Counts Mar 30th Northeast Classic 2025
275 SUNY-Geneseo Win 13-12 -3.35 117 6.25% Counts Mar 30th Northeast Classic 2025
246 Skidmore Loss 11-13 -16.97 167 6.25% Counts Mar 30th Northeast Classic 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.