(36) #236 Virginia Commonwealth (2-15)

926.66 (415)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
105 Boston University Loss 4-11 -3.78 282 4.67% Counts (Why) Jan 25th Mid Atlantic Warm Up 2025
61 Michigan State Loss 7-13 9.36 172 5.09% Counts Jan 25th Mid Atlantic Warm Up 2025
78 Richmond** Loss 4-13 0 234 0% Ignored (Why) Jan 25th Mid Atlantic Warm Up 2025
115 RIT Loss 3-10 -6.63 291 4.45% Counts (Why) Jan 25th Mid Atlantic Warm Up 2025
181 American Loss 6-12 -18.31 249 4.96% Counts Jan 26th Mid Atlantic Warm Up 2025
140 George Mason Loss 6-9 -2.44 307 5.7% Counts Feb 22nd Monument Melee 2025
154 Johns Hopkins Loss 6-11 -14.03 250 6.07% Counts Feb 22nd Monument Melee 2025
298 Maryland-Baltimore County Loss 4-5 -16.24 301 4.42% Counts Feb 22nd Monument Melee 2025
172 East Carolina Loss 8-9 8.58 295 6.07% Counts Feb 23rd Monument Melee 2025
232 George Washington Loss 8-10 -16.57 315 6.25% Counts Feb 23rd Monument Melee 2025
329 Villanova Win 9-8 -14.53 317 6.07% Counts Feb 23rd Monument Melee 2025
59 James Madison Loss 7-9 44.88 212 8.82% Counts Apr 12th Virginia D I Mens Conferences 2025
112 Liberty Loss 7-9 19.32 173 8.82% Counts Apr 12th Virginia D I Mens Conferences 2025
28 Virginia** Loss 1-15 0 202 0% Ignored (Why) Apr 12th Virginia D I Mens Conferences 2025
45 Virginia Tech Loss 6-12 27.84 163 9.36% Counts Apr 12th Virginia D I Mens Conferences 2025
140 George Mason Loss 9-15 -14.6 307 9.62% Counts Apr 13th Virginia D I Mens Conferences 2025
368 Radford Win 14-7 0 9.62% Counts (Why) Apr 13th Virginia D I Mens Conferences 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.