(31) #250 Worcester Polytechnic (10-12)

867.13 (103)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
90 Bowdoin** Loss 3-15 0 1 0% Ignored (Why) Mar 22nd PBR State Open
159 Brandeis Loss 2-15 -12.08 11 4.61% Counts (Why) Mar 22nd PBR State Open
222 MIT Loss 7-13 -21.67 45 4.61% Counts Mar 22nd PBR State Open
123 Bates Loss 4-13 -5.93 19 4.61% Counts (Why) Mar 23rd PBR State Open
310 Bentley Win 12-4 17.07 178 4.42% Counts (Why) Mar 23rd PBR State Open
116 Boston University Loss 6-15 -5 86 4.61% Counts (Why) Mar 23rd PBR State Open
293 Amherst Win 9-8 -1.02 92 4.62% Counts Mar 29th New England Open 2025
159 Brandeis Loss 5-13 -12.83 11 4.88% Counts (Why) Mar 29th New England Open 2025
370 Wentworth Win 13-4 2.17 70 4.88% Counts (Why) Mar 29th New England Open 2025
350 Western New England Win 9-8 -14.36 77 4.62% Counts Mar 29th New England Open 2025
90 Bowdoin** Loss 6-15 0 1 0% Ignored (Why) Mar 30th New England Open 2025
351 Clark Loss 9-11 -35.66 53 4.88% Counts Mar 30th New England Open 2025
185 Northeastern-B Loss 6-15 -18.01 100 4.88% Counts (Why) Mar 30th New England Open 2025
284 Northeastern-C Win 14-5 25.15 29 4.88% Counts (Why) Mar 30th New England Open 2025
275 Bryant Win 13-4 31.43 111 5.81% Counts (Why) Apr 19th South New England D III Mens Conferences 2025
344 Holy Cross Win 13-2 14.25 160 5.81% Counts (Why) Apr 19th South New England D III Mens Conferences 2025
282 Roger Williams Win 11-10 1.19 13 5.81% Counts Apr 19th South New England D III Mens Conferences 2025
80 Williams** Loss 6-15 0 53 0% Ignored (Why) Apr 20th South New England D III Mens Conferences 2025
282 Roger Williams Win 13-6 34.47 13 6.52% Counts (Why) May 3rd New England D III College Mens Regionals 2025
80 Williams Loss 7-13 8 53 6.52% Counts May 3rd New England D III College Mens Regionals 2025
293 Amherst Win 15-14 -1.47 92 6.52% Counts May 4th New England D III College Mens Regionals 2025
231 Colby Loss 11-12 -4.53 56 6.52% Counts May 4th New England D III College Mens Regionals 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.