(6) #176 The Force (9-10)

651.87 (13)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
136 Skyhawks Loss 11-12 3.25 5 3.95% Counts Jul 8th Heavyweights 2023
200 Pixel Loss 11-13 -14.63 14 3.95% Counts Jul 8th Heavyweights 2023
186 2Fly2Furious Win 13-6 21.77 12 3.95% Counts (Why) Jul 8th Heavyweights 2023
131 Stackcats Loss 8-11 -5.21 77 3.95% Counts Jul 8th Heavyweights 2023
241 PanIC Win 13-10 -7.48 0 3.95% Counts Jul 9th Heavyweights 2023
209 Mastodon Loss 10-11 -12.88 0 3.95% Counts Jul 9th Heavyweights 2023
170 Boomtown Pandas Loss 9-10 -2.86 14 5.44% Counts Aug 19th Cooler Classic 34
189 Great Minnesota Get Together Win 13-10 13.98 8 5.44% Counts Aug 19th Cooler Classic 34
236 Mad City Vibes Win 13-5 10.41 3 5.44% Counts (Why) Aug 19th Cooler Classic 34
244 Underdogs Win 15-5 1.85 10 5.44% Counts (Why) Aug 19th Cooler Classic 34
170 Boomtown Pandas Win 11-10 11.51 14 5.44% Counts Aug 20th Cooler Classic 34
128 Mousetrap Loss 7-13 -16.92 16 5.44% Counts Aug 20th Cooler Classic 34
182 Melt Loss 8-11 -22.84 10 5.44% Counts Aug 20th Cooler Classic 34
128 Mousetrap Loss 9-15 -17.2 16 6.38% Counts Sep 9th 2023 Mixed Northwest Plains Sectional Championship
54 No Touching! Loss 9-15 12.04 20 6.38% Counts Sep 9th 2023 Mixed Northwest Plains Sectional Championship
211 Lake Superior Disc Win 13-12 -5.46 19 6.38% Counts Sep 9th 2023 Mixed Northwest Plains Sectional Championship
226 Dinosaur Fancy Win 14-11 -1.14 14 6.38% Counts Sep 10th 2023 Mixed Northwest Plains Sectional Championship
135 Point of No Return Loss 12-13 5.77 15 6.38% Counts Sep 10th 2023 Mixed Northwest Plains Sectional Championship
128 Mousetrap Win 15-14 26.44 16 6.38% 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.