(5) #242 Drexel (3-15)

625.81 (36)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
73 Delaware** Loss 3-13 0 33 0% Ignored (Why) Feb 26th Oak Creek Challenge
229 West Chester Loss 7-10 -16.83 40 4.67% Counts Feb 26th Oak Creek Challenge
118 Virginia Commonwealth Loss 4-12 -7.14 46 4.74% Counts (Why) Feb 26th Oak Creek Challenge
215 North Carolina-B Loss 9-13 -17.78 34 4.94% Counts Feb 26th Oak Creek Challenge
96 RIT Loss 2-13 -2.6 39 4.94% Counts (Why) Feb 27th Oak Creek Challenge
110 Christopher Newport Loss 5-13 -5.8 25 4.94% Counts (Why) Feb 27th Oak Creek Challenge
100 Lehigh Loss 3-13 -3.71 39 4.94% Counts (Why) Feb 27th Oak Creek Challenge
98 Pennsylvania Loss 7-11 5.62 43 7.2% Counts Apr 16th East Penn D I College Mens CC 2022
100 Lehigh Loss 3-13 -5.71 39 7.4% Counts (Why) Apr 16th East Penn D I College Mens CC 2022
229 West Chester Loss 9-11 -16.22 40 7.4% Counts Apr 16th East Penn D I College Mens CC 2022
65 Temple Loss 6-13 10.69 28 7.4% Counts (Why) Apr 16th East Penn D I College Mens CC 2022
229 West Chester Win 10-7 32.78 40 7% Counts Apr 17th East Penn D I College Mens CC 2022
62 Carnegie Mellon** Loss 2-13 0 54 0% Ignored (Why) May 7th Ohio Valley D I College Mens Regionals 2022
48 Case Western Reserve** Loss 4-13 0 54 0% Ignored (Why) May 7th Ohio Valley D I College Mens Regionals 2022
251 Wright State Win 9-8 9.55 23 8.32% Counts May 7th Ohio Valley D I College Mens Regionals 2022
170 Ohio Loss 7-13 -29.33 35 8.79% Counts May 8th Ohio Valley D I College Mens Regionals 2022
256 Penn State-B Win 13-5 53.82 37 8.79% Counts (Why) May 8th Ohio Valley D I College Mens Regionals 2022
179 West Virginia Loss 8-10 -5.61 38 8.56% Counts May 8th Ohio Valley D I 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.