(9) #289 Drexel (2-16)

769.67 (296)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
226 American Win 9-8 25.71 301 6.21% Counts Feb 24th Monument Melee
147 Maryland-Baltimore County Loss 5-13 -3.78 388 6.56% Counts (Why) Feb 24th Monument Melee
204 Virginia Commonwealth Win 8-6 38.13 323 5.63% Counts Feb 24th Monument Melee
170 Villanova Loss 4-15 -8.27 293 6.56% Counts (Why) Feb 25th Monument Melee
217 George Washington Loss 7-13 -18.87 255 6.56% Counts Feb 25th Monument Melee
202 George Mason Loss 5-10 -14.07 240 5.83% Counts Feb 25th Monument Melee
85 Cornell Loss 6-13 15.34 350 6.95% Counts (Why) Mar 2nd Oak Creek Challenge 2024
148 Johns Hopkins Loss 2-13 -4.08 296 6.95% Counts (Why) Mar 2nd Oak Creek Challenge 2024
91 SUNY-Buffalo** Loss 2-13 0 269 0% Ignored (Why) Mar 2nd Oak Creek Challenge 2024
217 George Washington Loss 6-13 -23.25 255 6.95% Counts (Why) Mar 3rd Oak Creek Challenge 2024
150 West Chester Loss 7-13 -0.95 288 6.95% Counts Mar 3rd Oak Creek Challenge 2024
148 Johns Hopkins Loss 3-13 -4.08 296 6.95% Counts (Why) Mar 3rd Oak Creek Challenge 2024
170 Villanova Loss 9-12 14.93 293 9.83% Counts Apr 13th East Penn D I Mens Conferences 2024
150 West Chester Loss 3-11 -5.47 288 9.02% Counts (Why) Apr 13th East Penn D I Mens Conferences 2024
97 Lehigh** Loss 4-12 0 381 0% Ignored (Why) Apr 13th East Penn D I Mens Conferences 2024
56 Temple** Loss 4-13 0 309 0% Ignored (Why) Apr 13th East Penn D I Mens Conferences 2024
170 Villanova Loss 4-11 -11.67 293 9.02% Counts (Why) Apr 13th East Penn D I Mens Conferences 2024
92 Pennsylvania** Loss 2-13 0 392 0% Ignored (Why) Apr 14th East Penn D I 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.