(5) #65 Ignite (6-14)

320.39 (106)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
42 Vice Loss 5-11 -4.66 53 5.1% Counts (Why) Jul 16th Boston Invite 2022
64 Rush Hour Loss 7-8 -4.09 18 4.93% Counts Jul 16th Boston Invite 2022
24 Starling Ultimate** Loss 5-14 0 35 0% Ignored (Why) Jul 16th Boston Invite 2022
- Vanish Win 15-5 3.98 13 5.55% Counts (Why) Jul 17th Boston Invite 2022
68 Versa Win 14-5 33.3 42 5.55% Counts (Why) Jul 17th Boston Invite 2022
73 PLOW Win 8-5 8.53 219 4.59% Counts (Why) Jul 17th Boston Invite 2022
42 Vice Loss 6-10 1.08 53 5.98% Counts Aug 6th Philly Open 2022
44 Wave Loss 2-13 -7.4 26 6.52% Counts (Why) Aug 6th Philly Open 2022
37 Brooklyn Book Club** Loss 3-13 0 31 0% Ignored (Why) Aug 6th Philly Open 2022
74 Dissent Win 7-6 -13.39 39 5.39% Counts Aug 6th Philly Open 2022
68 Versa Loss 4-8 -32.68 42 5.18% Counts Aug 7th Philly Open 2022
40 Virginia Rebellion Loss 7-12 3.51 29 6.52% Counts Aug 7th Philly Open 2022
15 BENT** Loss 5-13 0 16 0% Ignored (Why) Sep 10th 2022 Metro NY Womens Sectional Championship
37 Brooklyn Book Club** Loss 5-13 0 31 0% Ignored (Why) Sep 10th 2022 Metro NY Womens Sectional Championship
64 Rush Hour Loss 5-13 -51.5 18 8.51% Counts (Why) Sep 10th 2022 Metro NY Womens Sectional Championship
- Remember When Loss 8-9 4.22 30 8.05% Counts Sep 10th 2022 Metro NY Womens Sectional Championship
15 BENT** Loss 2-15 0 16 0% Ignored (Why) Sep 24th 2022 Northeast Womens Regional Championship
64 Rush Hour Loss 8-10 -21.97 18 9.21% Counts Sep 24th 2022 Northeast Womens Regional Championship
68 Versa Win 13-8 48.36 42 9.46% Counts Sep 25th 2022 Northeast Womens Regional Championship
73 PLOW Win 13-6 33.84 219 9.46% Counts (Why) Sep 25th 2022 Northeast Womens Regional Championship
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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.