(8) #157 Miami (Ohio) (14-5)

1289.76 (254)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
222 Ball State Win 10-8 0.87 238 5% Counts Mar 2nd The Dayton Ultimate Disc Experience The DUDE
402 Case Western Reserve-B** Win 13-1 0 93 0% Ignored (Why) Mar 2nd The Dayton Ultimate Disc Experience The DUDE
408 Dayton-B** Win 13-1 0 166 0% Ignored (Why) Mar 2nd The Dayton Ultimate Disc Experience The DUDE
347 Wright State** Win 13-4 0 189 0% Ignored (Why) Mar 2nd The Dayton Ultimate Disc Experience The DUDE
182 Dayton Win 11-9 8.11 24 5.13% Counts Mar 3rd The Dayton Ultimate Disc Experience The DUDE
118 Kentucky Loss 9-12 -11.87 113 5.13% Counts Mar 3rd The Dayton Ultimate Disc Experience The DUDE
237 Carthage Win 10-8 -2.09 359 5.29% Counts Mar 9th Spring Spook 2024
292 Kent State Win 11-8 -10.16 416 5.44% Counts Mar 9th Spring Spook 2024
194 Ohio Win 10-9 -1.27 333 5.44% Counts Mar 9th Spring Spook 2024
378 SUNY-Buffalo-B** Win 13-5 0 276 0% Ignored (Why) Mar 9th Spring Spook 2024
268 Akron Win 14-8 6.76 152 5.44% Counts (Why) Mar 10th Spring Spook 2024
322 Cleveland State Win 13-6 -4.69 7.69% Counts (Why) Apr 20th Ohio D I Mens Conferences 2024
182 Dayton Win 9-8 2.01 24 7.28% Counts Apr 20th Ohio D I Mens Conferences 2024
79 Case Western Reserve Win 13-12 35.92 229 7.69% Counts Apr 21st Ohio D I Mens Conferences 2024
79 Case Western Reserve Loss 4-11 -22.34 229 7.06% Counts (Why) Apr 21st Ohio D I Mens Conferences 2024
74 Cincinnati Loss 7-11 -11.55 253 7.49% Counts Apr 21st Ohio D I Mens Conferences 2024
74 Cincinnati Loss 10-15 -12.23 253 8.64% Counts May 4th Ohio Valley D I College Mens Regionals 2024
170 Villanova Win 13-8 43.32 293 8.64% Counts May 4th Ohio Valley D I College Mens Regionals 2024
127 Pittsburgh-B Loss 11-14 -20.26 327 8.64% Counts May 4th Ohio Valley D I College Mens Regionals 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.