(38) #100 Vermont-B (15-4)

1235.55 (190)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
141 Bryant Win 8-5 12.13 141 3.98% Counts (Why) Feb 10th UMass Invite 2024
270 Rowan** Win 13-5 0 14 0% Ignored (Why) Feb 10th UMass Invite 2024
162 Wesleyan Win 10-7 6.67 45 4.55% Counts Feb 10th UMass Invite 2024
46 Williams Loss 8-9 7.85 34 4.55% Counts Feb 10th UMass Invite 2024
183 Connecticut College Win 15-4 12.81 357 4.81% Counts (Why) Feb 11th UMass Invite 2024
62 Massachusetts -B Loss 8-11 -8.57 149 4.81% Counts Feb 11th UMass Invite 2024
148 Rochester Win 10-7 9.11 78 4.55% Counts Feb 11th UMass Invite 2024
120 Army Win 12-11 2.86 81 5.4% Counts Feb 24th Bring The Huckus 2024
207 Colby Win 13-3 9.12 125 5.4% Counts (Why) Feb 24th Bring The Huckus 2024
197 Haverford Win 13-1 11.46 1 5.4% Counts (Why) Feb 24th Bring The Huckus 2024
247 SUNY-Geneseo Win 13-4 0.11 70 5.4% Counts (Why) Feb 24th Bring The Huckus 2024
207 Colby Win 15-8 7.11 125 5.4% Counts (Why) Feb 25th Bring The Huckus 2024
197 Haverford Win 13-7 9.04 1 5.4% Counts (Why) Feb 25th Bring The Huckus 2024
277 Stevens Tech Win 15-7 -7.89 21 5.4% Counts (Why) Feb 25th Bring The Huckus 2024
147 SUNY-Cortland Win 9-7 6.54 658 6.62% Counts Mar 30th Northeast Classic 2024
162 Wesleyan Win 9-8 -9.15 45 6.82% Counts Mar 30th Northeast Classic 2024
127 College of New Jersey Loss 9-11 -26.46 80 7.21% Counts Mar 31st Northeast Classic 2024
233 Skidmore Win 10-8 -20.27 184 7.02% Counts Mar 31st Northeast Classic 2024
147 SUNY-Cortland Loss 10-11 -24.26 658 7.21% Counts Mar 31st Northeast Classic 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.