(14) #228 Midwestern Mediocrity (7-13)

525.94 (85)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
226 Boomtown Pandas Win 13-12 8.92 45 4.97% Counts Aug 3rd Heavyweights 2019
135 Los Heros Loss 7-13 -3.78 90 4.97% Counts Aug 3rd Heavyweights 2019
141 Mad Udderburn Loss 8-13 -2.81 60 4.97% Counts Aug 3rd Heavyweights 2019
122 Pandamonium Loss 10-13 11.9 78 4.97% Counts Aug 4th Heavyweights 2019
213 Mastodon Loss 7-12 -20.95 33 4.97% Counts Aug 4th Heavyweights 2019
160 EMU Loss 5-13 -12.07 0 4.97% Counts (Why) Aug 4th Heavyweights 2019
240 Duloofda Loss 13-14 -10.5 17 5.53% Counts Aug 17th Cooler Classic 31
156 ELevate Loss 8-13 -6.38 41 5.53% Counts Aug 17th Cooler Classic 31
214 Stackcats Win 12-11 13.82 21 5.53% Counts Aug 17th Cooler Classic 31
154 Melt Loss 7-13 -9.92 1 5.53% Counts Aug 17th Cooler Classic 31
295 Fox Valley Forge** Win 11-3 0 92 0% Ignored (Why) Aug 18th Cooler Classic 31
218 Great Minnesota Get Together Loss 7-8 -1.99 190 4.91% Counts Aug 18th Cooler Classic 31
289 Taco Cat Win 10-3 2.09 51 4.83% Counts (Why) Aug 18th Cooler Classic 31
73 Petey's Pirates** Loss 5-13 0 48 0% Ignored (Why) Sep 7th East Plains Mixed Club Sectional Championship 2019
257 Derby City Thunder Win 15-9 25.41 56 6.48% Counts Sep 7th East Plains Mixed Club Sectional Championship 2019
175 Moonshine Loss 10-13 -5.01 69 6.48% Counts Sep 7th East Plains Mixed Club Sectional Championship 2019
251 Mishigami Win 13-9 21.41 2 6.48% Counts Sep 7th East Plains Mixed Club Sectional Championship 2019
187 Pixel Loss 10-12 -1.6 56 6.48% Counts Sep 8th East Plains Mixed Club Sectional Championship 2019
182 Rocket LawnChair Loss 5-11 -22.54 65 5.95% Counts (Why) Sep 8th East Plains Mixed Club Sectional Championship 2019
249 Second Wind Win 14-11 14.57 172 6.48% Counts Sep 8th East Plains Mixed Club Sectional Championship 2019
**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.