(1) #71 Sureshot (2-15)

69.89 (26)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
59 Autonomous Loss 9-10 14.33 18 5.07% Counts Jun 25th SCINNY
27 Indy Rogue** Loss 1-15 0 8 0% Ignored (Why) Jun 25th SCINNY
58 Y'all Loss 11-12 15.37 107 5.07% Counts Jun 26th SCINNY
59 Autonomous Win 10-8 34.06 18 4.94% Counts Jun 26th SCINNY
58 Y'all Loss 8-12 -1.8 107 5.95% Counts Jul 16th Bourbon Bash 2022
58 Y'all Loss 4-14 -11.86 107 5.95% Counts (Why) Jul 16th Bourbon Bash 2022
58 Y'all Loss 7-14 -17.08 107 9.12% Counts Sep 10th 2022 East Plains Womens Sectional Championship
59 Autonomous Loss 7-12 -12.78 18 9.12% Counts Sep 10th 2022 East Plains Womens Sectional Championship
66 Solstice Loss 6-10 -23.49 65 8.37% Counts Sep 10th 2022 East Plains Womens Sectional Championship
54 Notorious C.L.E. Loss 5-10 -7.86 43 8.1% Counts Sep 10th 2022 East Plains Womens Sectional Championship
28 Rival** Loss 0-15 0 3 0% Ignored (Why) Sep 11th 2022 East Plains Womens Sectional Championship
66 Solstice Loss 6-7 9.3 65 7.54% Counts Sep 11th 2022 East Plains Womens Sectional Championship
59 Autonomous Loss 4-10 -21.34 18 9.35% Counts (Why) Oct 1st 2022 Great Lakes Womens Regional Championship
28 Rival** Loss 0-13 0 3 0% Ignored (Why) Oct 1st 2022 Great Lakes Womens Regional Championship
66 Solstice Loss 6-13 -43.27 65 10.7% Counts (Why) Oct 1st 2022 Great Lakes Womens Regional Championship
14 Nemesis** Loss 0-13 0 36 0% Ignored (Why) Oct 1st 2022 Great Lakes Womens Regional Championship
58 Y'all Win 13-12 64.44 107 10.7% Counts Oct 2nd 2022 Great Lakes Womens Regional Championship
**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.