(3) #176 ELevate (7-12)

554.83 (13)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
185 Boomtown Pandas Win 12-8 16.33 17 4.09% Counts Jul 9th Heavyweights 2022
164 Derby City Thunder Loss 10-12 -7.02 51 4.09% Counts Jul 9th Heavyweights 2022
189 EMU Win 15-10 14.43 16 4.09% Counts Jul 9th Heavyweights 2022
42 Chicago Parlay** Loss 6-15 0 55 0% Ignored (Why) Jul 10th Heavyweights 2022
122 POW! Loss 10-11 8.31 6 4.09% Counts Jul 10th Heavyweights 2022
181 Stackcats Loss 10-14 -18.8 11 4.09% Counts Jul 10th Heavyweights 2022
137 Chalice Win 11-10 21.56 8 5.64% Counts Aug 20th Cooler Classic 33
121 Bird Loss 5-13 -15.9 5 5.64% Counts (Why) Aug 20th Cooler Classic 33
106 Mad Udderburn Loss 5-13 -12.9 7 5.64% Counts (Why) Aug 20th Cooler Classic 33
157 Point of No Return Loss 9-12 -13.03 11 5.64% Counts Aug 20th Cooler Classic 33
137 Chalice Loss 7-12 -17.01 8 5.64% Counts Aug 21st Cooler Classic 33
141 2Fly2Furious Win 12-8 37.8 94 5.64% Counts Aug 21st Cooler Classic 33
110 Three Rivers Ultimate Club Loss 3-13 -13.69 3 5.64% Counts (Why) Aug 21st Cooler Classic 33
- Indiana Pterodactyl Attack Win 12-8 17.79 24 6.62% Counts Sep 10th 2022 Central Plains Mixed Sectional Championship
189 EMU Win 15-13 6.98 16 6.62% Counts Sep 10th 2022 Central Plains Mixed Sectional Championship
- Nothing's Great Again Loss 5-15 -17.62 6 6.62% Counts (Why) Sep 10th 2022 Central Plains Mixed Sectional Championship
161 Prion Loss 8-10 -11.61 11 6.44% Counts Sep 10th 2022 Central Plains Mixed Sectional Championship
161 Prion Loss 9-11 -11.64 11 6.98% Counts Sep 17th 2022 Central Plains Mixed Sectional Championship
- Los Heros Win 11-7 15.81 8 6.79% Counts Sep 17th 2022 Central 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.