(10) #247 Connecticut College (11-6)

889.56 (240)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
352 Army Win 12-4 7.94 299 5.86% Counts (Why) Mar 1st Garden State 2025
356 Cornell-B Win 14-4 7.14 167 6.1% Counts (Why) Mar 1st Garden State 2025
389 Stevens Tech** Win 15-5 0 204 0% Ignored (Why) Mar 1st Garden State 2025
95 Bowdoin Loss 6-12 0.71 276 5.94% Counts Mar 2nd Garden State 2025
197 Haverford Loss 7-8 3.66 337 5.42% Counts Mar 2nd Garden State 2025
411 Boston University-B** Win 12-4 0 97 0% Ignored (Why) Mar 29th Ocean State Invite 2025
325 Central Connecticut State Loss 5-6 -25.9 128 5.85% Counts Mar 29th Ocean State Invite 2025
387 Providence Win 8-5 -16.51 177 6.36% Counts (Why) Mar 29th Ocean State Invite 2025
206 Tufts-B Loss 4-11 -33.96 4 7.06% Counts (Why) Mar 29th Ocean State Invite 2025
347 Rensselaer Polytech Win 11-6 9.29 85 7.27% Counts (Why) Mar 30th Ocean State Invite 2025
287 Roger Williams Win 11-8 18.73 312 7.69% Counts Mar 30th Ocean State Invite 2025
347 Rensselaer Polytech Win 11-3 14.77 85 7.92% Counts (Why) Apr 12th Hudson Valley D III Mens Conferences 2025
420 Union (New York)** Win 13-3 0 0% Ignored (Why) Apr 12th Hudson Valley D III Mens Conferences 2025
192 Vassar Win 11-10 31.03 300 8.63% Counts Apr 12th Hudson Valley D III Mens Conferences 2025
235 Skidmore Loss 10-12 -18.96 297 8.63% Counts Apr 13th Hudson Valley D III Mens Conferences 2025
192 Vassar Loss 9-15 -29.47 300 8.63% Counts Apr 13th Hudson Valley D III Mens Conferences 2025
311 Hartford Win 15-4 32.32 8.63% Counts (Why) Apr 13th Hudson Valley 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.