(17) #344 William & Mary-B (3-14)

82.71 (85)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
219 Maryland-B Loss 6-13 1.91 65 6.11% Counts (Why) Mar 5th Smellfish Invite
315 George Washington-B Loss 4-10 -22.59 212 5.34% Counts (Why) Mar 5th Smellfish Invite
306 Virginia Tech-B Win 12-8 44.81 79 6.11% Counts Mar 5th Smellfish Invite
263 James Madison-B Loss 0-1 -2.04 78 1.4% Counts (Why) Mar 6th Smellfish Invite
352 Delaware-B Win 12-4 30.83 10 5.87% Counts (Why) Mar 6th Smellfish Invite
197 ETSU** Loss 3-11 6.18 76 5.61% Counts (Why) Mar 6th Smellfish Invite
228 Navy-B Loss 5-9 5.13 126 6.24% Counts Mar 26th Hoos Huckin
315 George Washington-B Loss 2-8 -24.01 212 5.66% Counts (Why) Mar 26th Hoos Huckin
306 Virginia Tech-B Loss 5-10 -22.59 79 6.46% Counts Mar 26th Hoos Huckin
123 South Carolina-B** Loss 3-11 0 77 0% Ignored (Why) Mar 27th Hoos Huckin
315 George Washington-B Win 11-8 44.33 212 7.27% Counts Mar 27th Hoos Huckin
316 Virginia-B Loss 8-12 -19.27 1 7.27% Counts Mar 27th Hoos Huckin
263 James Madison-B Loss 7-15 -14.45 78 9.16% Counts (Why) Apr 23rd Southern Atlantic Coast Dev College Mens CC 2022
211 North Carolina-B** Loss 6-15 0 38 0% Ignored (Why) Apr 23rd Southern Atlantic Coast Dev College Mens CC 2022
316 Virginia-B Loss 11-12 7.11 1 9.16% Counts Apr 23rd Southern Atlantic Coast Dev College Mens CC 2022
277 North Carolina State-B Loss 9-13 -2.34 46 9.16% Counts Apr 24th Southern Atlantic Coast Dev College Mens CC 2022
306 Virginia Tech-B Loss 7-14 -33.89 79 9.16% Counts Apr 24th Southern Atlantic Coast Dev College Mens CC 2022
**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.