(23) #175 Delaware (6-13)

1221.88 (387)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
102 Connecticut Loss 8-9 6.56 246 4.24% Counts Mar 2nd No Sleep till Brooklyn 2024
93 Princeton Loss 8-9 8.46 329 4.24% Counts Mar 2nd No Sleep till Brooklyn 2024
120 Syracuse Loss 6-11 -16.17 214 4.24% Counts Mar 2nd No Sleep till Brooklyn 2024
102 Connecticut Loss 6-8 -1.09 246 3.85% Counts Mar 3rd No Sleep till Brooklyn 2024
201 MIT Win 11-9 6.76 436 4.48% Counts Mar 3rd No Sleep till Brooklyn 2024
93 Princeton Loss 10-11 8.97 329 4.48% Counts Mar 3rd No Sleep till Brooklyn 2024
150 West Chester Loss 5-11 -26.09 288 4.89% Counts (Why) Mar 23rd Garden State 2024
198 Messiah Win 10-7 15.75 297 5.04% Counts Mar 23rd Garden State 2024
212 West Virginia Loss 6-7 -12.33 260 4.41% Counts Mar 24th Garden State 2024
170 Villanova Loss 7-9 -12.82 293 4.89% Counts Mar 24th Garden State 2024
198 Messiah Loss 6-11 -33.95 297 5.04% Counts Mar 24th Garden State 2024
272 Rowan Win 11-7 5.57 345 5.19% Counts Mar 24th Garden State 2024
170 Villanova Loss 7-8 -4.72 293 4.73% Counts Mar 24th Garden State 2024
87 Georgetown Loss 9-15 -13.17 189 6.71% Counts Apr 20th Colonial D I Mens Conferences 2024
126 Towson Loss 9-12 -12.82 272 6.71% Counts Apr 20th Colonial D I Mens Conferences 2024
217 George Washington Win 15-8 28.89 255 6.71% Counts (Why) Apr 20th Colonial D I Mens Conferences 2024
226 American Win 15-8 27.07 301 6.71% Counts (Why) Apr 21st Colonial D I Mens Conferences 2024
148 Johns Hopkins Win 13-11 23.18 296 6.71% Counts Apr 21st Colonial D I Mens Conferences 2024
126 Towson Loss 11-12 3.04 272 6.71% Counts Apr 21st Colonial D I Mens Conferences 2024
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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.