(41) #271 Bold City (7-12)

287.31 (42)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
268 Orbit Win 9-5 24.81 4 4.39% Counts (Why) Jun 15th ATL Classic 2019
164 BATL Cows Loss 6-13 -1.68 34 5.12% Counts (Why) Jun 15th ATL Classic 2019
278 Baywatch Win 10-9 2.86 108 5.12% Counts Jun 15th ATL Classic 2019
235 Mississippi Blues Loss 6-11 -17.71 23 4.84% Counts Jun 15th ATL Classic 2019
162 OutKast Loss 3-10 -0.67 31 4.47% Counts (Why) Jun 16th ATL Classic 2019
47 Huntsville Outlaws** Loss 2-13 0 41 0% Ignored (Why) Jun 16th ATL Classic 2019
235 Mississippi Blues Win 10-8 24.19 23 4.98% Counts Jun 16th ATL Classic 2019
278 Baywatch Loss 4-13 -45.46 108 6.34% Counts (Why) Jul 13th Swan Boat 2019
252 Big Bend Win 7-6 13.81 32 5.24% Counts Jul 13th Swan Boat 2019
255 Mixchief Win 11-9 24.54 119 6.34% Counts Jul 13th Swan Boat 2019
99 Mutiny** Loss 2-13 0 23 0% Ignored (Why) Jul 13th Swan Boat 2019
278 Baywatch Win 11-6 30.26 108 5.99% Counts (Why) Jul 14th Swan Boat 2019
207 FIRE ULTIMATE CLUB MIAMI Loss 8-10 7.49 96 6.17% Counts Jul 14th Swan Boat 2019
255 Mixchief Loss 6-15 -32.91 119 6.34% Counts (Why) Jul 14th Swan Boat 2019
252 Big Bend Loss 6-9 -27.73 32 8.62% Counts Sep 7th Florida Mixed Club Sectional Championship 2019
99 Mutiny** Loss 4-13 0 23 0% Ignored (Why) Sep 7th Florida Mixed Club Sectional Championship 2019
255 Mixchief Loss 4-8 -37.72 119 7.71% Counts Sep 7th Florida Mixed Club Sectional Championship 2019
153 Jackpot Loss 5-10 5.64 3 8.62% Counts Sep 7th Florida Mixed Club Sectional Championship 2019
278 Baywatch Win 12-9 29.38 108 9.71% Counts Sep 8th Florida 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.