(17) #95 Bowdoin (20-3)

1480.17 (276)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
152 Rhode Island Loss 8-9 -21.38 217 5.97% Counts Mar 1st Garden State 2025
210 Penn State-B Win 12-8 -0.77 371 6.31% Counts Mar 1st Garden State 2025
197 Haverford Win 10-5 10.23 337 5.61% Counts (Why) Mar 1st Garden State 2025
262 Brown-B** Win 4-1 0 363 0% Ignored (Why) Mar 1st Garden State 2025
247 Connecticut College Win 12-6 -0.74 240 6.14% Counts (Why) Mar 2nd Garden State 2025
277 Salisbury** Win 13-4 0 95 0% Ignored (Why) Mar 2nd Garden State 2025
152 Rhode Island Win 11-6 21.26 217 5.97% Counts (Why) Mar 2nd Garden State 2025
133 Bates Win 10-9 -2.41 266 7.5% Counts Mar 22nd PBR State Open
348 Bentley Win 12-6 -34.88 264 7.3% Counts (Why) Mar 22nd PBR State Open
105 Boston University Loss 7-15 -51.15 282 7.5% Counts (Why) Mar 22nd PBR State Open
281 Worcester Polytechnic** Win 15-3 0 350 0% Ignored (Why) Mar 22nd PBR State Open
162 Brandeis Win 9-5 19.08 256 6.44% Counts (Why) Mar 23rd PBR State Open
214 MIT Win 13-5 11.4 281 7.5% Counts (Why) Mar 23rd PBR State Open
375 Harvard-B** Win 13-2 0 239 0% Ignored (Why) Mar 29th New England Open 2025
294 Northeastern-C** Win 13-5 0 369 0% Ignored (Why) Mar 29th New England Open 2025
215 Northeastern-B Win 13-7 8.04 249 7.95% Counts (Why) Mar 29th New England Open 2025
335 Connecticut-B** Win 13-2 0 341 0% Ignored (Why) Mar 29th New England Open 2025
318 Massachusetts-Lowell** Win 13-5 0 227 0% Ignored (Why) Mar 30th New England Open 2025
281 Worcester Polytechnic** Win 15-6 0 350 0% Ignored (Why) Mar 30th New England Open 2025
162 Brandeis Win 15-7 30.06 256 7.95% Counts (Why) Mar 30th New England Open 2025
406 Dartmouth-B** Win 15-2 0 22 0% Ignored (Why) Apr 12th North New England D III Mens Conferences 2025
70 Dartmouth Win 12-10 36.89 166 8.92% Counts Apr 12th North New England D III Mens Conferences 2025
36 Middlebury Loss 4-15 -25.59 221 8.92% Counts (Why) Apr 12th North New England D III Mens Conferences 2025
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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.