(4) #128 Mousetrap (11-8)

914.95 (16)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
115 Queen City Gambit Win 12-8 24.01 52 4.38% Counts Jul 8th Heavyweights 2023
241 PanIC** Win 13-4 0 0 0% Ignored (Why) Jul 8th Heavyweights 2023
179 Frostbite Win 12-8 7.9 5 4.38% Counts Jul 8th Heavyweights 2023
116 Jabba Loss 9-10 -2.19 7 4.38% Counts Jul 8th Heavyweights 2023
136 Skyhawks Win 13-6 24.79 5 4.38% Counts (Why) Jul 9th Heavyweights 2023
131 Stackcats Win 12-9 14.72 77 4.38% Counts Jul 9th Heavyweights 2023
88 Spectre Loss 5-12 -24.97 98 5.79% Counts (Why) Aug 19th Cooler Classic 34
159 Pandamonium Win 9-8 -0.25 12 5.71% Counts Aug 19th Cooler Classic 34
244 Underdogs** Win 13-5 0 10 0% Ignored (Why) Aug 19th Cooler Classic 34
73 Northern Comfort Loss 11-12 9.9 5 6.03% Counts Aug 19th Cooler Classic 34
109 Pushovers Loss 9-13 -19.77 4 6.03% Counts Aug 20th Cooler Classic 34
135 Point of No Return Win 11-9 12.57 15 6.03% Counts Aug 20th Cooler Classic 34
176 The Force Win 13-7 18.9 13 6.03% Counts (Why) Aug 20th Cooler Classic 34
135 Point of No Return Loss 11-12 -13.59 15 7.08% Counts Sep 9th 2023 Mixed Northwest Plains Sectional Championship
249 Midnight Nut Busters Win 15-7 -25.84 15 7.08% Counts (Why) Sep 9th 2023 Mixed Northwest Plains Sectional Championship
176 The Force Win 15-9 19.23 13 7.08% Counts Sep 9th 2023 Mixed Northwest Plains Sectional Championship
170 Boomtown Pandas Loss 9-10 -23.84 14 7.08% Counts Sep 10th 2023 Mixed Northwest Plains Sectional Championship
60 Minnesota Star Power Loss 12-15 6.12 12 7.08% Counts Sep 10th 2023 Mixed Northwest Plains Sectional Championship
176 The Force Loss 14-15 -29.56 13 7.08% Counts Sep 10th 2023 Mixed Northwest Plains Sectional 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.