(2) #49 Frolic (7-11)

739.14 (139)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
45 Zephyr Loss 5-11 -30.28 31 5.31% Counts (Why) Jul 16th Boston Invite 2022
41 Rip Tide Alumni Loss 9-11 -9.42 38 5.79% Counts Jul 16th Boston Invite 2022
73 PLOW** Win 13-3 0 219 0% Ignored (Why) Jul 16th Boston Invite 2022
42 Vice Loss 6-11 -26.21 53 5.48% Counts Jul 17th Boston Invite 2022
25 Squall Loss 4-15 -4.76 29 5.79% Counts (Why) Jul 17th Boston Invite 2022
41 Rip Tide Alumni Win 8-7 11.99 38 5.15% Counts Jul 17th Boston Invite 2022
68 Versa Win 9-2 9.85 42 6.25% Counts (Why) Aug 21st Frolic Round Robin
42 Vice Win 9-6 36.94 53 6.72% Counts Aug 21st Frolic Round Robin
24 Starling Ultimate Loss 5-10 6.42 35 6.72% Counts Aug 21st Frolic Round Robin
41 Rip Tide Alumni Loss 6-8 -14.19 38 6.49% Counts Aug 21st Frolic Round Robin
42 Vice Loss 7-11 -35.21 53 8.63% Counts Sep 10th 2022 East New England Womens Sectional Championship
17 Siege** Loss 2-13 0 19 0% Ignored (Why) Sep 10th 2022 East New England Womens Sectional Championship
41 Rip Tide Alumni Loss 4-13 -49.07 38 8.87% Counts (Why) Sep 10th 2022 East New England Womens Sectional Championship
68 Versa Win 10-6 4.37 42 9.06% Counts (Why) Sep 24th 2022 Northeast Womens Regional Championship
24 Starling Ultimate** Loss 5-12 0 35 0% Ignored (Why) Sep 24th 2022 Northeast Womens Regional Championship
- Iris** Loss 1-15 0 23 0% Ignored (Why) Sep 24th 2022 Northeast Womens Regional Championship
37 Brooklyn Book Club Win 13-8 80.96 31 9.87% Counts Sep 25th 2022 Northeast Womens Regional Championship
64 Rush Hour Win 15-8 21.05 18 9.87% 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.