(18) #234 Amherst (9-8)

655.72 (60)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
320 Rensselaer Polytechnic Institute Win 15-11 -3 57 6.14% Counts Mar 26th New York Invite
174 Rochester Loss 6-15 -26.54 52 6.14% Counts (Why) Mar 26th New York Invite
175 SUNY Cortland Win 15-7 51.9 55 6.14% Counts (Why) Mar 26th New York Invite
303 Skidmore College Win 13-5 15.86 56 6.14% Counts (Why) Mar 27th New York Invite
193 Vermont-C Loss 9-10 0.39 36 6.14% Counts Mar 27th New York Invite
96 RIT Loss 9-13 7.05 39 6.5% Counts Apr 2nd Northeast Classic
252 New Hampshire Win 13-10 19.13 45 6.5% Counts Apr 2nd Northeast Classic
119 Connecticut Win 11-8 54.97 29 6.5% Counts Apr 2nd Northeast Classic
125 Yale Loss 7-13 -9.95 40 6.5% Counts Apr 2nd Northeast Classic
192 Rowan Win 10-9 17.9 45 6.5% Counts Apr 3rd Northeast Classic
235 Vermont-B Win 13-12 8.56 3 6.5% Counts Apr 3rd Northeast Classic
356 Clark** Win 13-2 0 236 0% Ignored (Why) Apr 23rd South New England D III College Mens CC 2022
187 Bryant Loss 5-13 -37.95 97 7.73% Counts (Why) Apr 23rd South New England D III College Mens CC 2022
123 Williams Loss 1-13 -15.23 127 7.73% Counts (Why) Apr 23rd South New England D III College Mens CC 2022
356 Clark** Win 15-3 0 236 0% Ignored (Why) Apr 24th South New England D III College Mens CC 2022
248 Worcester Polytechnic Institute Loss 6-10 -41.31 90 7.1% Counts Apr 24th South New England D III College Mens CC 2022
248 Worcester Polytechnic Institute Loss 9-14 -43.46 90 7.73% Counts Apr 24th South New England D III College Mens CC 2022
**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.