(43) #312 Western New England (4-16)

673.67 (161)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
279 Amherst Loss 12-15 -7.16 223 4.91% Counts Mar 2nd Grand Northeast Kickoff
76 Massachusetts -B** Loss 3-15 0 179 0% Ignored (Why) Mar 2nd Grand Northeast Kickoff
218 Middlebury-B Loss 7-15 -11.3 383 4.91% Counts (Why) Mar 2nd Grand Northeast Kickoff
225 Colby Loss 12-15 3.18 240 4.91% Counts Mar 3rd Grand Northeast Kickoff
218 Middlebury-B Loss 11-13 7.86 383 4.91% Counts Mar 3rd Grand Northeast Kickoff
138 Tufts-B Loss 8-15 6.46 279 4.91% Counts Mar 3rd Grand Northeast Kickoff
259 Brandeis Loss 9-10 7.66 185 6.18% Counts Mar 30th New England Open 2024 Open Division
343 Connecticut-B Win 10-6 22.37 139 5.67% Counts (Why) Mar 30th New England Open 2024 Open Division
210 Northeastern-B Loss 2-11 -11.61 183 5.67% Counts (Why) Mar 30th New England Open 2024 Open Division
138 Tufts-B Loss 5-10 6.75 279 5.49% Counts Mar 30th New England Open 2024 Open Division
279 Amherst Win 10-8 27.19 223 6.02% Counts Mar 31st New England Open 2024 Open Division
199 Connecticut College Loss 4-13 -9.75 237 6.18% Counts (Why) Mar 31st New England Open 2024 Open Division
329 Harvard-B Win 13-10 16.78 231 6.18% Counts Mar 31st New England Open 2024 Open Division
279 Amherst Loss 4-12 -31.27 223 6.66% Counts (Why) Apr 13th South New England D III Mens Conferences 2024
142 Bryant** Loss 5-13 0 266 0% Ignored (Why) Apr 13th South New England D III Mens Conferences 2024
341 Holy Cross Loss 7-10 -35.72 6.57% Counts Apr 13th South New England D III Mens Conferences 2024
55 Williams** Loss 5-15 0 225 0% Ignored (Why) Apr 13th South New England D III Mens Conferences 2024
279 Amherst Loss 9-11 -6.52 223 6.94% Counts Apr 14th South New England D III Mens Conferences 2024
341 Holy Cross Win 14-5 35.9 6.94% Counts (Why) Apr 14th South New England D III Mens Conferences 2024
238 Roger Williams Loss 4-15 -21.2 6.94% Counts (Why) Apr 14th South New England D III Mens Conferences 2024
**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.