(12) #264 Virginia Tech-B (8-10)

821.24 (344)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
63 Duke Loss 7-15 11.9 375 4.97% Counts (Why) Mar 22nd Atlantic Coast Open 2025
140 George Mason Loss 7-11 0.85 307 4.84% Counts Mar 22nd Atlantic Coast Open 2025
112 Liberty Loss 6-12 0.26 173 4.84% Counts Mar 22nd Atlantic Coast Open 2025
164 Massachusetts -B Loss 3-15 -10.48 261 4.97% Counts (Why) Mar 22nd Atlantic Coast Open 2025
232 George Washington Loss 7-15 -25.13 315 4.97% Counts (Why) Mar 23rd Atlantic Coast Open 2025
401 George Washington-B** Win 15-5 0 1 0% Ignored (Why) Mar 23rd Atlantic Coast Open 2025
379 James Madison-B Win 14-9 -6.32 141 5.91% Counts Apr 12th Southern Atlantic Coast Dev Mens Conferences 2025
203 North Carolina State-B Loss 5-13 -22.95 239 5.91% Counts (Why) Apr 12th Southern Atlantic Coast Dev Mens Conferences 2025
198 North Carolina-B Loss 10-13 -4.6 212 5.91% Counts Apr 12th Southern Atlantic Coast Dev Mens Conferences 2025
198 North Carolina-B Loss 12-13 8.16 212 5.91% Counts Apr 13th Southern Atlantic Coast Dev Mens Conferences 2025
330 South Carolina-B Win 11-9 0.21 446 5.91% Counts Apr 13th Southern Atlantic Coast Dev Mens Conferences 2025
203 North Carolina State-B Win 10-9 25.54 239 6.63% Counts Apr 26th Atlantic Coast Dev College Mens Regionals 2025
330 South Carolina-B Loss 10-11 -26.35 446 6.63% Counts Apr 26th Atlantic Coast Dev College Mens Regionals 2025
395 Maryland-B Win 9-7 -27.24 273 6.09% Counts Apr 26th Atlantic Coast Dev College Mens Regionals 2025
341 Virginia-B Win 13-4 21.02 105 6.63% Counts (Why) Apr 26th Atlantic Coast Dev College Mens Regionals 2025
337 Delaware-B Win 13-6 22.97 353 6.63% Counts (Why) Apr 27th Atlantic Coast Dev College Mens Regionals 2025
203 North Carolina State-B Loss 11-12 7.78 239 6.63% Counts Apr 27th Atlantic Coast Dev College Mens Regionals 2025
330 South Carolina-B Win 13-6 25.15 446 6.63% Counts (Why) Apr 27th Atlantic Coast Dev College Mens Regionals 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.