(4) #115 Vermont-B (12-10)

1194.71 (35)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
206 Christopher Newport Win 13-1 7.65 84 4% Counts (Why) Jan 25th Mid Atlantic Warm Up 2025
298 Navy** Win 13-2 0 12 0% Ignored (Why) Jan 25th Mid Atlantic Warm Up 2025
179 Pennsylvania Win 12-7 9.91 1 4% Counts (Why) Jan 25th Mid Atlantic Warm Up 2025
52 William & Mary Loss 7-13 -8.37 101 4% Counts Jan 25th Mid Atlantic Warm Up 2025
39 Cincinnati Loss 10-14 1.53 228 4% Counts Jan 26th Mid Atlantic Warm Up 2025
66 Dartmouth Loss 10-13 -2.94 18 4% Counts Jan 26th Mid Atlantic Warm Up 2025
60 Michigan State Loss 10-14 -4.46 88 4% Counts Jan 26th Mid Atlantic Warm Up 2025
101 Yale Win 14-8 25.17 46 4% Counts (Why) Jan 26th Mid Atlantic Warm Up 2025
120 Connecticut Win 9-7 13.59 57 4.9% Counts Mar 1st UMass Invite 2025
46 Middlebury Loss 7-10 0.71 7 5.05% Counts Mar 1st UMass Invite 2025
152 Tufts-B Loss 9-10 -15.42 1 5.34% Counts Mar 1st UMass Invite 2025
68 Wesleyan Win 10-8 27.38 232 5.2% Counts Mar 1st UMass Invite 2025
108 Columbia Win 9-8 7.95 52 5.05% Counts Mar 2nd UMass Invite 2025
120 Connecticut Win 7-4 20.36 57 4.06% Counts (Why) Mar 2nd UMass Invite 2025
73 Williams Loss 5-12 -22.13 91 5.13% Counts (Why) Mar 2nd UMass Invite 2025
388 American-B** Win 15-1 0 246 0% Ignored (Why) Mar 22nd Atlantic Coast Open 2025
96 Appalachian State Loss 8-13 -28.25 68 6.35% Counts Mar 22nd Atlantic Coast Open 2025
139 Florida State Win 9-8 0.89 59 6.01% Counts Mar 22nd Atlantic Coast Open 2025
163 Messiah Win 9-7 4.1 150 5.83% Counts Mar 22nd Atlantic Coast Open 2025
171 Dickinson Win 14-12 -1.39 75 6.35% Counts Mar 23rd Atlantic Coast Open 2025
97 Duke Loss 11-15 -20.52 42 6.35% Counts Mar 23rd Atlantic Coast Open 2025
81 North Carolina-Charlotte Loss 11-15 -17.2 26 6.35% Counts Mar 23rd Atlantic Coast Open 2025
**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.