() #30 Steel (14-4)

1348.29 (28)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
88 Honey Pot** Win 11-4 0 14 0% Ignored (Why) Jul 6th Huntsville Huckfest 2019
88 Honey Pot** Win 11-0 0 14 0% Ignored (Why) Jul 6th Huntsville Huckfest 2019
60 Huntsville Laika Win 10-3 2.57 14 3.95% Counts (Why) Jul 6th Huntsville Huckfest 2019
60 Huntsville Laika Win 11-4 2.71 14 4.15% Counts (Why) Jul 6th Huntsville Huckfest 2019
88 Honey Pot** Win 13-0 0 14 0% Ignored (Why) Jul 20th 2019 Club Terminus
60 Huntsville Laika Win 13-3 3.35 14 5.08% Counts (Why) Jul 20th 2019 Club Terminus
50 Crush City Win 13-7 11.16 7 5.08% Counts (Why) Jul 20th 2019 Club Terminus
46 Queen Cake Win 12-8 8.77 13 5.08% Counts Jul 20th 2019 Club Terminus
60 Huntsville Laika Win 13-4 3.35 14 5.08% Counts (Why) Jul 21st 2019 Club Terminus
50 Crush City Win 13-5 13.44 7 5.08% Counts (Why) Jul 21st 2019 Club Terminus
60 Huntsville Laika Win 15-6 5.15 14 7.61% Counts (Why) Sep 7th Gulf Coast Womens Club Sectional Championship 2019
46 Queen Cake Loss 10-12 -42.47 13 7.61% Counts Sep 7th Gulf Coast Womens Club Sectional Championship 2019
49 Fiasco Win 15-12 -2.12 14 8.54% Counts Sep 21st Southeast Club Womens Regional Championship 2019
46 Queen Cake Win 12-7 22.72 13 8.54% Counts (Why) Sep 21st Southeast Club Womens Regional Championship 2019
15 Ozone Loss 7-15 -20.71 147 8.54% Counts (Why) Sep 21st Southeast Club Womens Regional Championship 2019
7 Phoenix Loss 6-13 9.68 44 8.54% Counts (Why) Sep 22nd Southeast Club Womens Regional Championship 2019
46 Queen Cake Win 12-9 6.36 13 8.54% Counts Sep 22nd Southeast Club Womens Regional Championship 2019
23 Tabby Rosa Loss 9-13 -25.34 31 8.54% Counts Sep 22nd Southeast Club Womens Regional Championship 2019
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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.