(6) #262 Virginia Tech-B (10-8)

899.28 (323)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
209 Christopher Newport Loss 8-9 3.54 369 5.83% Counts Mar 23rd Fishbowl
393 George Washington-B** Win 12-4 0 114 0% Ignored (Why) Mar 23rd Fishbowl
342 James Madison-B Win 9-4 13.74 238 5.1% Counts (Why) Mar 23rd Fishbowl
394 William & Mary-B** Win 12-5 0 425 0% Ignored (Why) Mar 23rd Fishbowl
209 Christopher Newport Loss 8-10 -5.14 369 6% Counts Mar 24th Fishbowl
336 Virginia-B Win 13-9 5.87 221 6.17% Counts Mar 24th Fishbowl
148 Johns Hopkins Loss 8-15 -10.42 296 6.54% Counts Mar 30th Atlantic Coast Open 2024
166 RIT Loss 7-15 -16.18 303 6.54% Counts (Why) Mar 30th Atlantic Coast Open 2024
204 Virginia Commonwealth Loss 10-11 5.85 323 6.54% Counts Mar 30th Atlantic Coast Open 2024
307 Mary Washington Win 11-4 24.49 319 6% Counts (Why) Mar 30th Atlantic Coast Open 2024
226 American Loss 12-15 -11.65 301 6.54% Counts Mar 31st Atlantic Coast Open 2024
209 Christopher Newport Loss 8-13 -21.95 369 6.54% Counts Mar 31st Atlantic Coast Open 2024
214 North Carolina-B Win 10-9 25.24 386 7.77% Counts Apr 20th Southern Atlantic Coast Dev Mens Conferences 2024
392 Richmond-B** Win 11-4 0 18 0% Ignored (Why) Apr 20th Southern Atlantic Coast Dev Mens Conferences 2024
394 William & Mary-B Win 10-6 -19.2 425 7.13% Counts (Why) Apr 20th Southern Atlantic Coast Dev Mens Conferences 2024
336 Virginia-B Win 12-8 9.42 221 7.77% Counts Apr 20th Southern Atlantic Coast Dev Mens Conferences 2024
214 North Carolina-B Loss 11-15 -17.41 386 7.77% Counts Apr 21st Southern Atlantic Coast Dev Mens Conferences 2024
325 South Carolina-B Win 12-8 13.72 252 7.77% Counts Apr 21st Southern Atlantic Coast Dev Mens Conferences 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.