(1) #143 Buffalo Lake Effect (10-9)

738.15 (5)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
112 FLI Loss 8-9 2.88 5 4.55% Counts Jul 9th Antlerlock 2022
- Sugar Shack** Win 15-3 0 4 0% Ignored (Why) Jul 9th Antlerlock 2022
- Interstate 91** Win 15-2 0 4 0% Ignored (Why) Jul 9th Antlerlock 2022
175 Rainbow Win 12-7 17.07 4 4.81% Counts (Why) Jul 9th Antlerlock 2022
- WHUF [B] Win 12-10 8.68 4 4.81% Counts Jul 10th Antlerlock 2022
101 Lampshade Loss 6-10 -12.69 4 4.41% Counts Jul 10th Antlerlock 2022
64 League of Shadows Loss 4-10 -7.86 3 5.2% Counts (Why) Aug 6th Philly Open 2022
31 Jughandle** Loss 4-13 0 5 0% Ignored (Why) Aug 6th Philly Open 2022
125 Brackish Loss 6-13 -30.2 7 5.95% Counts (Why) Aug 6th Philly Open 2022
77 Townies Win 10-9 29.53 4 5.95% Counts Aug 6th Philly Open 2022
152 Farm Show Loss 7-9 -18.27 6 5.46% Counts Aug 7th Philly Open 2022
144 8 Bit Heroes Win 8-5 23.33 8 4.92% Counts (Why) Aug 7th Philly Open 2022
199 Compost Plates Win 13-6 15.95 5 7.77% Counts (Why) Sep 10th 2022 Upstate NY Mixed Sectional Championship
60 Garbage Plates Loss 6-11 -6.04 4 7.35% Counts Sep 10th 2022 Upstate NY Mixed Sectional Championship
- Zen Win 11-9 5.2 5 7.77% Counts Sep 10th 2022 Upstate NY Mixed Sectional Championship
103 Bench Loss 4-13 -32.41 5 7.77% Counts (Why) Sep 10th 2022 Upstate NY Mixed Sectional Championship
204 Mashed Win 15-10 -4.3 5 7.77% Counts Sep 11th 2022 Upstate NY Mixed Sectional Championship
94 Cream Win 12-11 31.8 4 7.77% Counts Sep 11th 2022 Upstate NY Mixed Sectional Championship
82 UNION Loss 3-15 -23.15 4 7.77% Counts (Why) Sep 11th 2022 Upstate NY Mixed 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.