(1) #119 Mashed (11-9)

983.99 (5)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
96 Bench Win 10-9 8.31 17 3.83% Counts Jun 11th Rochester Round Robin
207 Buffalo Brain Freeze Win 10-9 -15.11 3 3.83% Counts Jun 11th Rochester Round Robin
217 Compost Plates Win 13-4 0.73 14 3.83% Counts (Why) Jun 11th Rochester Round Robin
48 Townies Loss 3-13 -7.21 167 3.83% Counts (Why) Jun 11th Rochester Round Robin
141 PS Loss 12-13 -11.77 12 4.26% Counts Jun 24th LVU’s Disc Days of Summer 2023
183 Starfire Win 13-6 9.75 5 4.26% Counts (Why) Jun 24th LVU’s Disc Days of Summer 2023
84 Buffalo Lake Effect Loss 7-10 -10.22 30 4.03% Counts Jun 24th LVU’s Disc Days of Summer 2023
149 ColorBomb Win 13-6 18.75 13 4.26% Counts (Why) Jun 24th LVU’s Disc Days of Summer 2023
59 Greater Baltimore Anthem Loss 9-10 8.9 9 4.26% Counts Jun 25th LVU’s Disc Days of Summer 2023
146 Heavy Flow Win 12-8 12.51 11 4.26% Counts Jun 25th LVU’s Disc Days of Summer 2023
177 District Cocktails Win 11-9 -5.31 16 5.87% Counts Aug 5th Philly Open 2023
175 Philly Twist Win 10-9 -12.68 17 5.87% Counts Aug 5th Philly Open 2023
111 Lampshade Win 11-10 9.13 1 5.87% Counts Aug 5th Philly Open 2023
95 Scarecrow Win 13-6 42.67 6 5.87% Counts (Why) Aug 6th Philly Open 2023
62 Funk Loss 5-13 -20.08 48 5.87% Counts (Why) Aug 6th Philly Open 2023
24 Loco** Loss 4-13 0 26 0% Ignored (Why) Aug 6th Philly Open 2023
96 Bench Loss 10-12 -12.82 17 7.66% Counts Sep 9th 2023 Mixed Upstate New York Sectional Championship
84 Buffalo Lake Effect Loss 7-9 -10.06 30 7.03% Counts Sep 9th 2023 Mixed Upstate New York Sectional Championship
217 Compost Plates Win 13-4 1.52 14 7.66% Counts (Why) Sep 9th 2023 Mixed Upstate New York Sectional Championship
40 UNION Loss 3-13 -7.64 55 7.66% Counts (Why) Sep 9th 2023 Mixed Upstate New York Sectional Championship
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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.