(10) #51 Medusa (8-11)

349.5 (4)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
58 Autonomous Win 13-6 10.55 4 4.74% Counts (Why) Jul 31st Heavyweights 2021
38 Dish Loss 9-13 -12.65 4 4.74% Counts (Why) Jul 31st Heavyweights 2021
56 Stormborn Win 9-8 -12.04 4 4.49% Counts Jul 31st Heavyweights 2021
35 Stellar Loss 3-13 -8.56 4 4.74% Counts (Why) Jul 31st Heavyweights 2021
37 Heist Loss 9-12 -11.75 4 5.32% Counts (Why) Aug 14th Cooler Classic 32 Redux
60 Iowa Wild Rose Win 11-8 5.32 4 5.32% Counts (Why) Aug 14th Cooler Classic 32 Redux
35 Stellar Loss 6-13 -9.67 4 5.32% Counts (Why) Aug 14th Cooler Classic 32 Redux
56 Stormborn Win 11-5 12.51 4 4.88% Counts (Why) Aug 14th Cooler Classic 32 Redux
60 Iowa Wild Rose Win 15-5 5.66 4 5.64% Counts (Why) Aug 15th Cooler Classic 32 Redux
35 Stellar Loss 8-15 -10.28 4 5.64% Counts (Why) Aug 15th Cooler Classic 32 Redux
29 Crush City Loss 7-15 2.26 4 5.64% Counts (Why) Aug 21st TCT Elite Select Challenge 2021
47 Solstice Loss 9-11 -5.29 4 5.64% Counts Aug 21st TCT Elite Select Challenge 2021
7 BENT** Loss 1-15 0 4 0% Ignored (Why) Aug 21st TCT Elite Select Challenge 2021
58 Autonomous Win 11-7 13.08 4 5.81% Counts (Why) Aug 22nd TCT Elite Select Challenge 2021
57 Sureshot Win 14-7 15.46 4 5.97% Counts (Why) Aug 22nd TCT Elite Select Challenge 2021
29 Crush City Loss 6-13 2.41 4 5.97% Counts (Why) Aug 22nd TCT Elite Select Challenge 2021
37 Heist Loss 7-14 -15.02 4 6.71% Counts (Why) Sep 11th Northwest Plains Womens Club Sectional Championship 2021
30 Pop** Loss 4-15 0.83 4 6.71% Counts (Why) Sep 11th Northwest Plains Womens Club Sectional Championship 2021
56 Stormborn Win 15-9 17.51 4 6.71% Counts (Why) Sep 11th Northwest Plains Womens Club Sectional Championship 2021
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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.