(1) #75 Autonomous (2-20)

135.98 (20)

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# Opponent Result Effect % of Ranking Status Date Event
57 Helix Loss 3-13 -3.28 4.9% Jun 16th SCINNY 2018
58 Stellar Loss 5-13 -3.75 4.9% Jun 16th SCINNY 2018
55 Sureshot Loss 1-13 -2.13 4.9% Jun 16th SCINNY 2018
31 Indy Rogue** Loss 1-13 0 0% Ignored Jun 16th SCINNY 2018
70 Lady Forward Loss 5-13 -19.52 5.17% Jun 24th SCINNY 2018
- Belle Loss 4-12 -26.02 4.96% Jun 24th SCINNY 2018
37 Fiasco Loss 6-13 27.64 7.12% Aug 4th Heavyweights 2018
- Frenzy Win 13-1 0 0% Ignored Aug 4th Heavyweights 2018
50 Cold Cuts** Loss 1-13 0 0% Ignored Aug 4th Heavyweights 2018
70 Lady Forward Win 10-9 28.13 7.12% Aug 4th Heavyweights 2018
57 Helix Loss 7-9 17.97 6.53% Aug 5th Heavyweights 2018
34 Dish** Loss 5-13 0 0% Ignored Aug 5th Heavyweights 2018
66 Iowa Wild Rose Loss 5-8 -7.03 5.89% Aug 5th Heavyweights 2018
55 Sureshot Loss 3-11 -3.43 7.67% Aug 25th Indy Invite Club 2018
31 Indy Rogue** Loss 1-11 0 0% Ignored Aug 25th Indy Invite Club 2018
49 Sparks** Loss 3-13 0 0% Ignored Sep 15th East Plains Womens Sectional Championship 2018
61 Notorious C.L.E. Loss 1-13 -15.17 9.8% Sep 15th East Plains Womens Sectional Championship 2018
57 Helix Loss 3-13 -7.33 10.34% Sep 22nd Great Lakes Womens Regional Championship 2018
11 Rival** Loss 0-13 0 0% Ignored Sep 22nd Great Lakes Womens Regional Championship 2018
55 Sureshot Loss 6-15 -4.77 10.34% Sep 22nd Great Lakes Womens Regional Championship 2018
34 Dish** Loss 2-13 0 0% Ignored Sep 22nd Great Lakes Womens Regional Championship 2018
57 Helix Loss 8-11 19.7 10.34% Sep 23rd Great Lakes Womens Regional Championship 2018
**Blowout Eligible

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.