(4) #235 Vermont-B (8-10)

653.78 (3)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
233 Navy-B Loss 6-12 -27.08 32 4.49% Counts Feb 26th Cutlass Classic 2022
117 Appalachian State Loss 6-13 -8.23 32 4.61% Counts (Why) Feb 26th Cutlass Classic 2022
266 East Carolina Win 12-11 -1.19 27 4.61% Counts Feb 26th Cutlass Classic 2022
243 Elon Loss 9-10 -7.44 29 4.61% Counts Feb 26th Cutlass Classic 2022
329 Princeton-B Win 15-9 2.01 31 5.48% Counts Mar 19th Jersey Devil
295 Haverford Win 15-4 18.18 39 5.48% Counts (Why) Mar 19th Jersey Devil
352 Delaware-B** Win 15-5 0 35 0% Ignored (Why) Mar 19th Jersey Devil
162 Massachusetts-Lowell Loss 6-13 -23.08 43 6.15% Counts (Why) Apr 2nd Northeast Classic
247 SUNY-Albany Win 13-12 5.52 43 6.15% Counts Apr 2nd Northeast Classic
303 Skidmore College Win 13-3 16.03 56 6.15% Counts (Why) Apr 2nd Northeast Classic
96 RIT Loss 9-12 11.58 39 6.15% Counts Apr 3rd Northeast Classic
234 Amherst Loss 12-13 -8.07 60 6.15% Counts Apr 3rd Northeast Classic
314 Edinboro Win 12-10 -10.33 34 6.15% Counts Apr 3rd Northeast Classic
104 Brown-B Loss 7-11 1.69 202 6.72% Counts Apr 16th Greater New England Dev College Mens CC 2022
193 Vermont-C Loss 5-11 -31.62 36 6.34% Counts (Why) Apr 16th Greater New England Dev College Mens CC 2022
104 Brown-B Loss 9-10 27.12 202 6.91% Counts Apr 17th Greater New England Dev College Mens CC 2022
240 Dartmouth-B Win 13-3 43.09 1 6.91% Counts (Why) Apr 17th Greater New England Dev College Mens CC 2022
193 Vermont-C Loss 11-13 -7.12 36 6.91% Counts Apr 17th Greater New England Dev 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.