(6) #200 Rochester Open Club (10-8)

682.18 (105)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
226 Buffalo Frostbite Win 13-4 18.46 108 4.37% Counts (Why) Jun 11th Rochester Round Robin
226 Buffalo Frostbite Win 13-5 18.46 108 4.37% Counts (Why) Jun 11th Rochester Round Robin
238 Mohawk Valley Wild Win 9-5 9.48 107 5.16% Counts (Why) Jul 22nd Rochester Round Robin 2
226 Buffalo Frostbite Win 11-4 23.61 108 5.52% Counts (Why) Jul 22nd Rochester Round Robin 2
238 Mohawk Valley Wild Win 9-8 -13.86 107 5.69% Counts Jul 22nd Rochester Round Robin 2
226 Buffalo Frostbite Win 13-10 8.47 108 6.01% Counts Jul 22nd Rochester Round Robin 2
121 John Doe Loss 7-12 -8.12 102 6.69% Counts Aug 5th Philly Open 2023
186 Town Hall Stars Loss 9-12 -19.58 95 6.69% Counts Aug 5th Philly Open 2023
91 Helots** Loss 4-13 0 68 0% Ignored (Why) Aug 5th Philly Open 2023
206 Rebels Loss 9-10 -13.9 100 6.69% Counts Aug 6th Philly Open 2023
252 Deepfake** Win 13-2 0 102 0% Ignored (Why) Aug 6th Philly Open 2023
209 Long Island Riff Raff Win 11-9 11.22 104 6.69% Counts Aug 6th Philly Open 2023
226 Buffalo Frostbite Loss 12-13 -30.67 108 8.73% Counts Sep 9th 2023 Mens Upstate New York Regional Championship
189 Dirty Laundry Loss 4-9 -41.57 105 7.22% Counts (Why) Sep 9th 2023 Mens Upstate New York Regional Championship
21 Phoenix** Loss 3-13 0 47 0% Ignored (Why) Sep 9th 2023 Mens Upstate New York Regional Championship
238 Mohawk Valley Wild Win 13-8 13.52 107 8.73% Counts Sep 9th 2023 Mens Upstate New York Regional Championship
158 Alibi Loss 11-12 7.73 125 8.73% Counts Sep 10th 2023 Mens Upstate New York Regional Championship
238 Mohawk Valley Wild Win 15-9 15.37 107 8.73% Counts 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.