(1) #210 Stackcats (5-13)

368.48 (23)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
122 ELevate Win 10-9 34.21 25 5.42% Counts Jul 31st Heavyweights 2021
137 POW! Loss 7-13 -7.27 29 5.42% Counts Jul 31st Heavyweights 2021
129 Mousetrap Loss 6-13 -8.82 21 5.42% Counts (Why) Jul 31st Heavyweights 2021
49 Woodwork** Loss 2-13 0 17 0% Ignored (Why) Jul 31st Heavyweights 2021
230 Boomtown Pandas Win 12-11 0.23 22 5.42% Counts Aug 1st Heavyweights 2021
122 ELevate Loss 7-14 -6.38 25 5.42% Counts Aug 1st Heavyweights 2021
100 Point of No Return Loss 6-13 -0.07 17 6.03% Counts (Why) Aug 14th Cooler Classic 32 Redux
196 Great Minnesota Get Together Win 13-11 20.28 21 6.03% Counts Aug 14th Cooler Classic 32 Redux
159 Pushovers Loss 6-13 -18.8 22 6.03% Counts (Why) Aug 14th Cooler Classic 32 Redux
237 Robotic Snakes Loss 12-13 -20.75 22 6.03% Counts Aug 14th Cooler Classic 32 Redux
234 Dinosaur Fancy Win 11-8 13.99 22 6.03% Counts Aug 15th Cooler Classic 32 Redux
215 Identity Theft Loss 10-14 -27.5 22 6.03% Counts Aug 15th Cooler Classic 32 Redux
237 Robotic Snakes Win 15-10 16.4 22 6.03% Counts Aug 15th Cooler Classic 32 Redux
81 CHImera Loss 6-13 6.31 26 7.88% Counts (Why) Sep 18th Central Plains Mixed Club Sectional Championship 2021
122 ELevate Loss 8-10 17.35 25 7.67% Counts Sep 18th Central Plains Mixed Club Sectional Championship 2021
148 Jabba Loss 9-12 1.21 26 7.88% Counts Sep 18th Central Plains Mixed Club Sectional Championship 2021
22 U54 Ultimate** Loss 2-13 0 32 0% Ignored (Why) Sep 18th Central Plains Mixed Club Sectional Championship 2021
151 Prion Loss 5-11 -20.25 24 7.23% Counts (Why) Sep 19th Central Plains Mixed Club Sectional Championship 2021
**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.