(12) #292 Kent State (6-16)

747.63 (416)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
68 Franciscan** Loss 4-13 0 164 0% Ignored (Why) Feb 3rd Huckin in the Hills X
212 West Virginia Loss 5-13 -8.85 260 3.2% Counts (Why) Feb 3rd Huckin in the Hills X
194 Ohio Loss 9-13 -0.78 333 3.2% Counts Feb 3rd Huckin in the Hills X
212 West Virginia Loss 8-15 -7.69 260 3.2% Counts Feb 4th Huckin in the Hills X
387 Ohio-B Win 15-4 3.13 289 3.2% Counts (Why) Feb 4th Huckin in the Hills X
194 Ohio Loss 9-13 -0.78 333 3.2% Counts Feb 4th Huckin in the Hills X
237 Carthage Loss 6-9 -6.95 359 3.79% Counts Mar 9th Spring Spook 2024
194 Ohio Loss 6-13 -9.13 333 4.27% Counts (Why) Mar 9th Spring Spook 2024
157 Miami (Ohio) Loss 8-11 7.87 254 4.27% Counts Mar 9th Spring Spook 2024
378 SUNY-Buffalo-B Win 12-6 5.78 276 4.15% Counts (Why) Mar 10th Spring Spook 2024
347 Wright State Loss 8-13 -31.92 189 4.27% Counts Mar 10th Spring Spook 2024
268 Akron Win 11-10 15.96 152 6.03% Counts Apr 20th Ohio D I Mens Conferences 2024
79 Case Western Reserve Loss 7-12 21.03 229 6.03% Counts Apr 20th Ohio D I Mens Conferences 2024
322 Cleveland State Win 11-8 16.14 6.03% Counts Apr 20th Ohio D I Mens Conferences 2024
268 Akron Win 10-9 15.96 152 6.03% Counts Apr 21st Ohio D I Mens Conferences 2024
194 Ohio Loss 4-15 -13.16 333 6.03% Counts (Why) Apr 21st Ohio D I Mens Conferences 2024
282 Toledo Win 13-12 12.58 431 6.03% Counts Apr 21st Ohio D I Mens Conferences 2024
6 Pittsburgh** Loss 4-15 0 240 0% Ignored (Why) May 4th Ohio Valley D I College Mens Regionals 2024
130 Penn State-B Loss 11-14 23.13 13 6.77% Counts May 4th Ohio Valley D I College Mens Regionals 2024
212 West Virginia Loss 6-15 -19.47 260 6.77% Counts (Why) May 4th Ohio Valley D I College Mens Regionals 2024
194 Ohio Loss 6-14 -14.89 333 6.77% Counts (Why) May 5th Ohio Valley D I College Mens Regionals 2024
170 Villanova Loss 5-15 -6.95 293 6.77% Counts (Why) May 5th 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.