(24) #252 Big Bend (6-14)

412.1 (32)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
162 OutKast Loss 6-11 -4.47 31 4.95% Counts Jun 15th ATL Classic 2019
130 m'kay Ultimate Loss 6-13 1.11 86 5.23% Counts (Why) Jun 15th ATL Classic 2019
74 Trash Pandas** Loss 4-13 0 24 0% Ignored (Why) Jun 15th ATL Classic 2019
255 Mixchief Win 12-5 31.1 119 5.02% Counts (Why) Jun 15th ATL Classic 2019
268 Orbit Win 10-5 22.4 4 4.65% Counts (Why) Jun 16th ATL Classic 2019
278 Baywatch Win 13-10 7.24 108 5.23% Counts Jun 16th ATL Classic 2019
105 Auburn HeyDay** Loss 3-13 0 42 0% Ignored (Why) Jun 16th ATL Classic 2019
153 Jackpot Loss 3-13 -6.3 3 6.47% Counts (Why) Jul 12th Swan Boat 2019
225 Monster Loss 7-12 -24.19 13 6.47% Counts Jul 12th Swan Boat 2019
207 FIRE ULTIMATE CLUB MIAMI Loss 5-9 -16.3 96 5.55% Counts Jul 12th Swan Boat 2019
271 Bold City Loss 6-7 -14.13 42 5.35% Counts Jul 13th Swan Boat 2019
278 Baywatch Win 14-9 19.16 108 6.47% Counts Jul 14th Swan Boat 2019
99 Mutiny** Loss 1-15 0 23 0% Ignored (Why) Jul 14th Swan Boat 2019
255 Mixchief Loss 7-12 -36.79 119 6.47% Counts Jul 14th Swan Boat 2019
255 Mixchief Win 12-11 12.52 119 9.91% Counts Sep 7th Florida Mixed Club Sectional Championship 2019
271 Bold City Win 9-6 28.37 42 8.81% 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
16 Weird** Loss 2-13 0 20 0% Ignored (Why) Sep 7th Florida Mixed Club Sectional Championship 2019
153 Jackpot Loss 5-12 -9.58 3 9.51% Counts (Why) Sep 8th Florida Mixed Club Sectional Championship 2019
207 FIRE ULTIMATE CLUB MIAMI Loss 9-12 -10.29 96 9.91% 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.