(2) #238 Mohawk Valley Wild (3-13)

327.36 (107)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
200 Rochester Open Club Loss 5-9 -8.48 105 4.64% Counts Jul 22nd Rochester Round Robin 2
200 Rochester Open Club Loss 8-9 12.39 105 5.11% Counts Jul 22nd Rochester Round Robin 2
226 Buffalo Frostbite Win 13-8 37.46 108 5.41% Counts Jul 22nd Rochester Round Robin 2
226 Buffalo Frostbite Win 13-5 43.4 108 5.41% Counts (Why) Jul 22nd Rochester Round Robin 2
189 Dirty Laundry Loss 9-12 5.41 105 6.69% Counts Aug 19th Ow My Knee 2023
202 Spring Break '93 Loss 6-13 -19.17 103 6.69% Counts (Why) Aug 19th Ow My Knee 2023
209 Long Island Riff Raff Loss 9-12 -5.97 104 6.69% Counts Aug 19th Ow My Knee 2023
163 Crossfire Loss 8-13 2.57 109 6.69% Counts Aug 20th Ow My Knee 2023
209 Long Island Riff Raff Win 13-12 27.77 104 6.69% Counts Aug 20th Ow My Knee 2023
202 Spring Break '93 Loss 6-13 -19.17 103 6.69% Counts (Why) Aug 20th Ow My Knee 2023
200 Rochester Open Club Loss 8-13 -12.05 105 7.85% Counts Sep 9th 2023 Mens Upstate New York Regional Championship
158 Alibi Loss 4-13 -3.36 125 7.85% Counts (Why) Sep 9th 2023 Mens Upstate New York Regional Championship
189 Dirty Laundry Loss 3-13 -15.27 105 7.85% Counts (Why) Sep 9th 2023 Mens Upstate New York Regional Championship
226 Buffalo Frostbite Loss 7-13 -33.95 108 7.85% Counts Sep 9th 2023 Mens Upstate New York Regional Championship
200 Rochester Open Club Loss 9-15 -13.69 105 7.85% Counts Sep 10th 2023 Mens Upstate New York Regional Championship
21 Phoenix** Loss 3-13 0 47 0% Ignored (Why) Sep 10th 2023 Mens Upstate New York Regional Championship
**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.