() #223 Colby (8-10)

982.72 (276)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
214 MIT Loss 6-8 -17.19 281 6.15% Counts Feb 22nd Bring The Huckus 2025
113 West Chester Loss 5-9 -7.8 200 6.15% Counts Feb 22nd Bring The Huckus 2025
179 Dickinson Loss 5-13 -32.12 213 7.16% Counts (Why) Feb 22nd Bring The Huckus 2025
265 Drexel Win 9-6 17.16 238 6.36% Counts Feb 22nd Bring The Huckus 2025
160 Ithaca Loss 6-13 -27.15 299 7.16% Counts (Why) Feb 23rd Bring The Huckus 2025
161 Delaware Loss 7-8 8.33 292 6.36% Counts Feb 23rd Bring The Huckus 2025
235 Skidmore Win 8-3 32.1 297 5.57% Counts (Why) Feb 23rd Bring The Huckus 2025
312 Amherst Win 8-2 16.42 289 6.25% Counts (Why) Mar 8th Grand Northeast Kickoff 2025
133 Bates Win 6-5 30.46 266 6.11% Counts Mar 8th Grand Northeast Kickoff 2025
262 Brown-B Loss 4-8 -49.02 363 6.39% Counts Mar 8th Grand Northeast Kickoff 2025
262 Brown-B Win 15-5 39 363 8.04% Counts (Why) Mar 9th Grand Northeast Kickoff 2025
399 Middlebury-B** Win 12-3 0 812 0% Ignored (Why) Mar 9th Grand Northeast Kickoff 2025
215 Northeastern-B Loss 7-8 -7.07 249 7.14% Counts Mar 9th Grand Northeast Kickoff 2025
385 New Hampshire** Win 11-4 0 475 0% Ignored (Why) Mar 9th Grand Northeast Kickoff 2025
133 Bates Loss 8-14 -23.23 266 10.73% Counts Apr 12th North New England D III Mens Conferences 2025
36 Middlebury** Loss 5-15 0 221 0% Ignored (Why) Apr 12th North New England D III Mens Conferences 2025
70 Dartmouth Loss 7-11 19.69 166 10.44% Counts Apr 12th North New England D III Mens Conferences 2025
399 Middlebury-B** Win 12-4 0 812 0% Ignored (Why) Apr 13th North New England D III Mens Conferences 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.