() #352 Delaware-B (4-13)

-58.12 (35)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
127 South Carolina-B** Loss 2-13 0 35 0% Ignored (Why) Mar 5th Smellfish Invite
268 James Madison-B Loss 1-11 -2.33 36 5.69% Counts (Why) Mar 5th Smellfish Invite
200 ETSU** Loss 3-13 0 36 0% Ignored (Why) Mar 5th Smellfish Invite
345 William & Mary-B Loss 4-12 -31.37 36 5.96% Counts (Why) Mar 6th Smellfish Invite
307 Virginia Tech-B Loss 6-13 -16.44 36 6.21% Counts (Why) Mar 6th Smellfish Invite
329 Princeton-B Loss 5-12 -26.43 31 6.68% Counts (Why) Mar 19th Jersey Devil
295 Haverford Loss 9-12 5.98 39 6.97% Counts Mar 19th Jersey Devil
235 Vermont-B** Loss 5-15 0 3 0% Ignored (Why) Mar 19th Jersey Devil
228 Maryland-B** Loss 6-14 0 35 0% Ignored (Why) Apr 23rd Colonial Dev College Mens CC 2022
359 Georgetown-B Win 10-9 2.59 35 9.3% Counts Apr 23rd Colonial Dev College Mens CC 2022
362 American-B Win 15-10 27.77 35 9.3% Counts Apr 24th Colonial Dev College Mens CC 2022
316 George Washington-B Loss 7-14 -28.45 35 9.3% Counts Apr 24th Colonial Dev College Mens CC 2022
354 Towson -B Win 12-11 5.38 35 9.3% Counts Apr 24th Colonial Dev College Mens CC 2022
228 Maryland-B** Loss 2-15 0 35 0% Ignored (Why) May 7th Atlantic Coast Dev College Mens Regionals 2022
316 George Washington-B Win 14-10 82.03 35 10.44% Counts May 7th Atlantic Coast Dev College Mens Regionals 2022
354 Towson -B Loss 8-11 -51.05 35 10.44% Counts May 7th Atlantic Coast Dev College Mens Regionals 2022
316 George Washington-B Loss 30-30 35.58 35 10.44% Counts May 8th Atlantic Coast Dev College Mens Regionals 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.