(3) #47 Huntsville Outlaws (18-2)

1474.26 (5)

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# Opponent Result Effect % of Ranking Status Date Event
232 Orbit** Win 13-1 0 0% Ignored (Why) Jun 15th ATL Classic 2019
137 BATL Cows Win 13-3 3.47 5.44% Counts (Why) Jun 15th ATL Classic 2019
227 Baywatch** Win 13-1 0 0% Ignored (Why) Jun 15th ATL Classic 2019
205 Mississippi Blues** Win 13-0 0 0% Ignored (Why) Jun 15th ATL Classic 2019
226 Bold City** Win 13-2 0 0% Ignored (Why) Jun 16th ATL Classic 2019
71 Trash Pandas Win 12-6 22.39 5.29% Counts (Why) Jun 16th ATL Classic 2019
92 m'kay Ultimate Win 11-10 -10.38 5.44% Counts Jun 16th ATL Classic 2019
245 Craw Daddies** Win 13-5 0 0% Ignored (Why) Jul 6th Huntsville Huckfest 2019
248 Mixed on the Rock** Win 13-3 0 0% Ignored (Why) Jul 6th Huntsville Huckfest 2019
155 Possum Win 13-7 -6.74 6.38% Counts (Why) Jul 6th Huntsville Huckfest 2019
110 sKNO cone Win 15-11 -2.88 6.38% Counts Jul 7th Huntsville Huckfest 2019
71 Trash Pandas Win 13-7 25.82 6.38% Counts (Why) Jul 7th Huntsville Huckfest 2019
79 Auburn HeyDay Loss 7-15 -56.45 6.38% Counts (Why) Jul 7th Huntsville Huckfest 2019
84 FlyTrap Win 13-7 27.35 8.33% Counts (Why) Aug 10th HoDown ShowDown 23 GOAT
168 Moonshine Win 13-6 -11.33 8.33% Counts (Why) Aug 10th HoDown ShowDown 23 GOAT
77 Tyrannis Win 12-8 20.71 8.33% Counts Aug 10th HoDown ShowDown 23 GOAT
138 Goose Lee Win 13-7 1.3 8.33% Counts (Why) Aug 10th HoDown ShowDown 23 GOAT
71 Trash Pandas Win 16-13 10.04 8.33% Counts Aug 11th HoDown ShowDown 23 GOAT
55 Malice in Wonderland Win 13-11 16.09 8.33% Counts Aug 11th HoDown ShowDown 23 GOAT
39 'Shine Loss 9-15 -39.04 8.33% Counts Aug 11th HoDown ShowDown 23 GOAT
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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.