(4) #160 Madison United Mixed Ultimate (10-8)

650.73 (14)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
141 2Fly2Furious Win 13-12 10.61 94 4.59% Counts Jul 9th Heavyweights 2022
105 Bandwagon Loss 7-15 -14.94 19 4.59% Counts (Why) Jul 9th Heavyweights 2022
76 Stripes Loss 4-15 -8.01 6 4.59% Counts (Why) Jul 9th Heavyweights 2022
128 Jabba Loss 8-15 -18.37 1 4.59% Counts Jul 10th Heavyweights 2022
185 Boomtown Pandas Win 15-8 19.74 17 4.59% Counts (Why) Jul 10th Heavyweights 2022
151 Pixel Loss 7-12 -22.48 24 4.59% Counts Jul 10th Heavyweights 2022
137 Chalice Win 13-8 42.91 8 6.32% Counts Aug 20th Cooler Classic 33
194 Toast! Win 13-7 18.46 16 6.32% Counts (Why) Aug 20th Cooler Classic 33
211 PanIC Win 13-7 -7.59 13 6.32% Counts (Why) Aug 20th Cooler Classic 33
181 Stackcats Win 13-4 31.2 11 6.32% Counts (Why) Aug 20th Cooler Classic 33
128 Jabba Win 9-8 19.58 1 5.98% Counts Aug 21st Cooler Classic 33
151 Pixel Win 11-10 12.02 24 6.32% Counts Aug 21st Cooler Classic 33
102 The Force Loss 5-10 -15.99 6 5.62% Counts Aug 21st Cooler Classic 33
47 No Touching!** Loss 5-15 0 1 0% Ignored (Why) Sep 10th 2022 Northwest Plains Mixed Sectional Championship
185 Boomtown Pandas Loss 6-11 -52.9 17 7.02% Counts Sep 10th 2022 Northwest Plains Mixed Sectional Championship
97 Pushovers Loss 10-12 7.31 8 7.42% Counts Sep 10th 2022 Northwest Plains Mixed Sectional Championship
208 Great Minnesota Get Together Win 12-10 -24.81 14 7.42% Counts Sep 11th 2022 Northwest Plains Mixed Sectional Championship
186 Mastodon Win 14-12 3.36 16 7.42% Counts Sep 11th 2022 Northwest Plains Mixed 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.