(52) #209 Miami (Ohio) (1-6)

349.33 (366)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
224 Butler Win 11-9 20.96 343 14.87% Counts Mar 2nd Huckleberry Flick
134 Franciscan Loss 5-11 5 329 13.64% Counts (Why) Mar 2nd Huckleberry Flick
140 Indiana Loss 5-12 -3.41 374 14.27% Counts (Why) Mar 2nd Huckleberry Flick
203 Oberlin Loss 9-10 -8.29 424 14.87% Counts Mar 2nd Huckleberry Flick
134 Franciscan** Loss 3-15 5.53 329 14.87% Counts (Why) Mar 3rd Huckleberry Flick
140 Indiana Loss 5-10 0.85 374 13.21% Counts Mar 3rd Huckleberry Flick
159 Kenyon Loss 4-12 -20.57 389 14.27% Counts (Why) Mar 3rd Huckleberry Flick
**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.