(24) #177 Towson (9-9)

925.57 (47)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
71 Case Western Reserve Loss 6-10 -1.14 41 6.38% Counts Mar 1st Oak Creek Challenge 2025
138 RIT Win 9-7 30.43 21 6.38% Counts Mar 1st Oak Creek Challenge 2025
336 SUNY-Cortland** Win 13-1 0 243 0% Ignored (Why) Mar 1st Oak Creek Challenge 2025
113 Lehigh Loss 7-10 -7.81 4 6.57% Counts Mar 2nd Oak Creek Challenge 2025
138 RIT Loss 5-10 -26.76 21 6.18% Counts Mar 2nd Oak Creek Challenge 2025
132 Rutgers Loss 7-10 -13.98 135 6.57% Counts Mar 2nd Oak Creek Challenge 2025
330 Cornell-B** Win 13-2 0 98 0% Ignored (Why) Mar 15th Natalies Animal Rescue 2025
259 Drexel Win 13-2 21.43 56 7.8% Counts (Why) Mar 15th Natalies Animal Rescue 2025
390 Siena** Win 13-0 0 180 0% Ignored (Why) Mar 15th Natalies Animal Rescue 2025
324 Villanova** Win 13-1 0 44 0% Ignored (Why) Mar 15th Natalies Animal Rescue 2025
330 Cornell-B** Win 15-2 0 98 0% Ignored (Why) Mar 16th Natalies Animal Rescue 2025
259 Drexel Win 13-7 17.83 56 7.8% Counts (Why) Mar 16th Natalies Animal Rescue 2025
131 Pittsburgh-B Loss 9-11 -5.13 64 8.76% Counts Mar 29th East Coast Invite 2025
132 Rutgers Loss 8-10 -6.68 135 8.52% Counts Mar 29th East Coast Invite 2025
128 SUNY-Binghamton Loss 4-15 -38.15 178 8.76% Counts (Why) Mar 29th East Coast Invite 2025
102 Syracuse Loss 9-14 -13.35 140 8.76% Counts Mar 29th East Coast Invite 2025
120 Connecticut Loss 10-11 12.33 57 8.76% Counts Mar 30th East Coast Invite 2025
236 NYU Win 15-1 31.1 339 8.76% Counts (Why) Mar 30th East Coast Invite 2025
**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.