(78) #182 Dayton (14-6)

1190.4 (24)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
126 Towson Win 11-10 17.07 272 5.01% Counts Feb 3rd Huckin in the Hills X
387 Ohio-B** Win 13-0 0 289 0% Ignored (Why) Feb 3rd Huckin in the Hills X
319 Edinboro Win 13-3 3.36 203 5.01% Counts (Why) Feb 3rd Huckin in the Hills X
212 West Virginia Win 10-5 21.57 260 4.45% Counts (Why) Feb 3rd Huckin in the Hills X
319 Edinboro Win 15-4 3.36 203 5.01% Counts (Why) Feb 4th Huckin in the Hills X
212 West Virginia Win 15-4 25.8 260 5.01% Counts (Why) Feb 4th Huckin in the Hills X
68 Franciscan Loss 12-15 8.95 164 5.01% Counts Feb 4th Huckin in the Hills X
271 Cincinnati -B Win 13-3 18.01 151 6.31% Counts (Why) Mar 2nd The Dayton Ultimate Disc Experience The DUDE
409 Denison** Win 13-1 0 161 0% Ignored (Why) Mar 2nd The Dayton Ultimate Disc Experience The DUDE
369 Illinois-B** Win 13-1 0 240 0% Ignored (Why) Mar 2nd The Dayton Ultimate Disc Experience The DUDE
118 Kentucky Loss 10-12 -0.85 113 6.31% Counts Mar 2nd The Dayton Ultimate Disc Experience The DUDE
222 Ball State Win 15-4 30.54 238 6.31% Counts (Why) Mar 3rd The Dayton Ultimate Disc Experience The DUDE
347 Wright State** Win 15-3 0 189 0% Ignored (Why) Mar 3rd The Dayton Ultimate Disc Experience The DUDE
157 Miami (Ohio) Loss 9-11 -10.1 254 6.31% Counts Mar 3rd The Dayton Ultimate Disc Experience The DUDE
268 Akron Loss 8-9 -43.65 152 8.95% Counts Apr 20th Ohio D I Mens Conferences 2024
322 Cleveland State Win 11-4 4.09 8.68% Counts (Why) Apr 20th Ohio D I Mens Conferences 2024
157 Miami (Ohio) Loss 8-9 -2.52 254 8.95% Counts Apr 20th Ohio D I Mens Conferences 2024
322 Cleveland State Win 13-4 4.5 9.46% Counts (Why) Apr 21st Ohio D I Mens Conferences 2024
282 Toledo Loss 7-11 -85.05 431 9.21% Counts Apr 21st Ohio D I Mens Conferences 2024
347 Wright State** Win 15-5 0 189 0% Ignored (Why) Apr 21st Ohio 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.