(1) #53 Autonomous (2-16)

150.17 (148)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
42 Medusa Loss 6-13 -22.65 182 7.66% Counts (Why) Jul 31st Heavyweights 2021
28 Stellar** Loss 1-13 0 180 0% Ignored (Why) Jul 31st Heavyweights 2021
32 Dish Loss 4-13 -1.15 158 7.66% Counts (Why) Jul 31st Heavyweights 2021
57 Stormborn Win 13-9 22.51 176 7.66% Counts Jul 31st Heavyweights 2021
22 Virginia Rebellion** Loss 1-14 0 121 0% Ignored (Why) Aug 21st TCT Elite Select Challenge 2021
12 Grit** Loss 1-15 0 118 0% Ignored (Why) Aug 21st TCT Elite Select Challenge 2021
19 Colorado Small Batch** Loss 2-15 0 84 0% Ignored (Why) Aug 21st TCT Elite Select Challenge 2021
42 Medusa Loss 7-11 -13.41 182 8.75% Counts Aug 22nd TCT Elite Select Challenge 2021
39 Solstice Loss 8-14 -7.75 135 8.99% Counts Aug 22nd TCT Elite Select Challenge 2021
49 Sureshot Win 12-6 67.64 139 8.75% Counts (Why) Aug 22nd TCT Elite Select Challenge 2021
11 Rival** Loss 3-15 0 73 0% Ignored (Why) Sep 11th East Plains Womens Club Sectional Championship 2021
39 Solstice Loss 7-11 -1.06 135 10.27% Counts Sep 11th East Plains Womens Club Sectional Championship 2021
49 Sureshot Loss 7-13 -50.93 139 10.55% Counts Sep 11th East Plains Womens Club Sectional Championship 2021
6 Nemesis** Loss 0-13 0 108 0% Ignored (Why) Oct 2nd Great Lakes Womens Club Regional Championship 2021
39 Solstice Loss 7-13 -14.12 135 12.38% Counts Oct 2nd Great Lakes Womens Club Regional Championship 2021
49 Sureshot Loss 10-12 -15.87 139 12.38% Counts Oct 2nd Great Lakes Womens Club Regional Championship 2021
11 Rival** Loss 1-13 0 73 0% Ignored (Why) Oct 2nd Great Lakes Womens Club Regional Championship 2021
27 Indy Rogue Loss 1-2 33.17 120 4.92% Counts Oct 3rd Great Lakes Womens Club Regional Championship 2021
**Blowout Eligible. Learn more about how this works here.

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.