(1) #124 District Cocktails (10-9)

922.5 (18)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
109 Delabear Loss 11-12 -3.04 19 5.24% Counts Jun 29th LVU’s Disc Days of Summer 2024
220 JAWN Win 15-7 -6.2 16 5.24% Counts (Why) Jun 29th LVU’s Disc Days of Summer 2024
71 Jughandle Win 11-10 24.93 16 5.24% Counts Jun 29th LVU’s Disc Days of Summer 2024
179 Starfire Win 15-5 12.81 21 5.24% Counts (Why) Jun 30th LVU’s Disc Days of Summer 2024
83 PS Loss 12-14 1.23 16 5.24% Counts Jun 30th LVU’s Disc Days of Summer 2024
61 FLI Loss 8-10 6.14 17 5.1% Counts Jun 30th LVU’s Disc Days of Summer 2024
66 Catalyst Loss 8-13 -10.6 14 6.24% Counts Jul 20th Filling the Void 2024 Mixed
22 Murmur** Loss 3-13 0 15 0% Ignored (Why) Jul 20th Filling the Void 2024 Mixed
172 SWAG Win 10-8 -2.99 26 6.07% Counts Jul 20th Filling the Void 2024 Mixed
99 Legion Loss 8-10 -9.37 19 6.07% Counts Jul 20th Filling the Void 2024 Mixed
140 Flux Win 13-10 16.01 21 6.24% Counts Jul 21st Filling the Void 2024 Mixed
114 MoonPi Win 11-9 18.85 19 6.24% Counts Jul 21st Filling the Void 2024 Mixed
140 Flux Win 12-11 2.5 21 6.24% Counts Jul 21st Filling the Void 2024 Mixed
38 Funk Loss 5-10 3.99 15 6.22% Counts Aug 3rd Philly Open 2024
95 Farm Show Loss 6-13 -34.58 15 7% Counts (Why) Aug 3rd Philly Open 2024
241 Domino Effect** Win 13-1 0 108 0% Ignored (Why) Aug 3rd Philly Open 2024
109 Delabear Loss 5-6 -3.09 19 5.33% Counts Aug 4th Philly Open 2024
197 Spice Win 8-7 -21.1 14 6.22% Counts Aug 4th Philly Open 2024
161 Espionage Win 10-8 3.91 18 6.81% Counts Aug 4th Philly Open 2024
**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.