(44) #347 Wright State (4-14)

527.36 (189)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
222 Ball State Loss 5-13 -8.28 238 9% Counts (Why) Mar 2nd The Dayton Ultimate Disc Experience The DUDE
402 Case Western Reserve-B Win 13-3 10.98 93 9% Counts (Why) Mar 2nd The Dayton Ultimate Disc Experience The DUDE
408 Dayton-B** Win 13-2 0 166 0% Ignored (Why) Mar 2nd The Dayton Ultimate Disc Experience The DUDE
157 Miami (Ohio)** Loss 4-13 0 254 0% Ignored (Why) Mar 2nd The Dayton Ultimate Disc Experience The DUDE
271 Cincinnati -B Loss 4-14 -26.67 151 9% Counts (Why) Mar 3rd The Dayton Ultimate Disc Experience The DUDE
182 Dayton** Loss 3-15 0 24 0% Ignored (Why) Mar 3rd The Dayton Ultimate Disc Experience The DUDE
268 Akron Loss 5-13 -27 152 9.53% Counts (Why) Mar 9th Spring Spook 2024
194 Ohio** Loss 3-13 0 333 0% Ignored (Why) Mar 9th Spring Spook 2024
378 SUNY-Buffalo-B Win 13-6 39.45 276 9.53% Counts (Why) Mar 9th Spring Spook 2024
237 Carthage Loss 6-12 -11.97 359 9.28% Counts Mar 10th Spring Spook 2024
292 Kent State Win 13-8 75.51 416 9.53% Counts Mar 10th Spring Spook 2024
74 Cincinnati** Loss 1-13 0 253 0% Ignored (Why) Apr 20th Ohio D I Mens Conferences 2024
35 Ohio State** Loss 0-13 0 261 0% Ignored (Why) Apr 20th Ohio D I Mens Conferences 2024
282 Toledo Loss 5-10 -38.48 431 11.98% Counts Apr 20th Ohio D I Mens Conferences 2024
268 Akron Loss 6-7 27.47 152 11.15% Counts Apr 21st Ohio D I Mens Conferences 2024
322 Cleveland State Loss 6-9 -42.54 11.98% Counts Apr 21st Ohio D I Mens Conferences 2024
182 Dayton** Loss 5-15 0 24 0% Ignored (Why) Apr 21st Ohio D I Mens Conferences 2024
194 Ohio** Loss 4-13 0 333 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.