(10) #130 Towson (12-8)

1116.83 (45)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
104 Dayton Loss 10-11 -1.27 114 4.46% Counts Feb 3rd Huckin in the Hills X
281 Edinboro** Win 13-3 0 10 0% Ignored (Why) Feb 3rd Huckin in the Hills X
51 Franciscan Loss 2-12 -9.86 7 4.28% Counts (Why) Feb 3rd Huckin in the Hills X
361 Ohio-B** Win 13-4 0 34 0% Ignored (Why) Feb 3rd Huckin in the Hills X
51 Franciscan Loss 7-15 -10.3 7 4.46% Counts (Why) Feb 4th Huckin in the Hills X
204 Ohio Win 15-11 3.45 15 4.46% Counts Feb 4th Huckin in the Hills X
203 West Virginia Win 12-9 2.24 22 4.46% Counts Feb 4th Huckin in the Hills X
84 Appalachian State Loss 12-13 5.06 40 5.62% Counts Mar 2nd Oak Creek Challenge 2024
206 George Washington Win 13-3 17.06 125 5.62% Counts (Why) Mar 2nd Oak Creek Challenge 2024
165 RIT Win 11-8 12.75 24 5.62% Counts Mar 2nd Oak Creek Challenge 2024
101 Cornell Win 13-11 20.04 51 5.62% Counts Mar 3rd Oak Creek Challenge 2024
175 Maryland-Baltimore County Win 13-10 8.3 11 5.62% Counts Mar 3rd Oak Creek Challenge 2024
90 SUNY-Buffalo Loss 10-11 1.98 72 5.62% Counts Mar 3rd Oak Creek Challenge 2024
120 Army Loss 9-10 -5.47 81 6.31% Counts Mar 16th Free Tournament
71 Penn State-B Loss 7-13 -20.73 67 6.31% Counts Mar 16th Free Tournament
352 Rensselaer Polytech Win 12-7 -39.01 413 6.31% Counts (Why) Mar 16th Free Tournament
214 Scranton Win 12-11 -15.41 122 6.31% Counts Mar 16th Free Tournament
71 Penn State-B Loss 8-12 -12.9 67 6.31% Counts Mar 17th Free Tournament
214 Scranton Win 15-7 16.57 122 6.31% Counts (Why) Mar 17th Free Tournament
166 Villanova Win 15-8 27.37 19 6.31% Counts (Why) Mar 17th Free Tournament
**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.