(32) #184 Kenyon (5-2)

909.19 (263)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
233 Akron Loss 6-7 -55.81 195 14.93% Counts Feb 29th Huckin in the Hills VII
225 Case Western Reserve-B Win 8-7 -8.11 222 16.04% Counts Feb 29th Huckin in the Hills VII
297 Dayton-B Win 12-1 9.34 233 17.33% Counts (Why) Feb 29th Huckin in the Hills VII
328 Indiana (Pennsylvania) Win 11-5 -35.77 184 16.57% Counts (Why) Feb 29th Huckin in the Hills VII
315 Carnegie Mellon-B** Win 15-2 0 139 0% Ignored (Why) Mar 1st Huckin in the Hills VII
38 Miami (Ohio) Loss 7-13 33.19 538 18.05% Counts Mar 1st Huckin in the Hills VII
210 The Ohio State University-B Win 10-7 59.33 227 17.08% Counts Mar 1st Huckin in the Hills VII
**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.