(8) #165 Oberlin (1-8)

837.33 (10)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
101 Butler Loss 6-9 7.47 121 11.61% Counts Mar 1st Huckleberry Flick 2025
116 Cincinnati Loss 3-9 -29.34 153 10.81% Counts (Why) Mar 1st Huckleberry Flick 2025
164 Indiana Loss 4-6 -37.75 162 9.48% Counts Mar 1st Huckleberry Flick 2025
209 Miami (Ohio) Win 12-3 37.87 72 12.54% Counts (Why) Mar 2nd Huckleberry Flick 2025
124 Xavier Loss 4-10 -39.02 88 11.41% Counts (Why) Mar 2nd Huckleberry Flick 2025
59 Davenport Loss 4-5 78.29 72 10.09% Counts Mar 15th Davenport Spring Skirmish
132 Grand Valley Loss 4-8 -44.5 211 11.66% Counts Mar 15th Davenport Spring Skirmish
87 Michigan State Loss 6-8 38.94 173 12.59% Counts Mar 15th Davenport Spring Skirmish
96 Michigan Tech Loss 2-6 -10.99 28 9.81% Counts (Why) Mar 15th Davenport Spring Skirmish
**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.