() #165 Octonauts (8-11)

766.23 (174)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
71 Sego Loss 9-13 2.95 131 5.38% Counts Jul 15th TCT Select Flight West 2023
41 BW Ultimate Loss 6-13 7.63 92 5.38% Counts (Why) Jul 15th TCT Select Flight West 2023
43 California Burrito** Loss 1-13 0 95 0% Ignored (Why) Jul 15th TCT Select Flight West 2023
112 Pushovers Loss 7-12 -15.06 154 5.38% Counts Jul 16th TCT Select Flight West 2023
230 Birds of Paradise Win 11-10 -19.1 152 5.38% Counts Jul 16th TCT Select Flight West 2023
145 Family Style Win 2-1 4.34 70 2.14% Counts (Why) Jul 16th TCT Select Flight West 2023
69 Robot Loss 7-8 22.84 7 5.92% Counts Aug 12th Flower Power 2023
113 Shipwreck Loss 5-10 -20.08 174 5.92% Counts Aug 12th Flower Power 2023
102 Party Wave Loss 7-13 -19.32 117 6.66% Counts Aug 12th Flower Power 2023
198 Air Throwmads Win 13-9 14.89 108 6.66% Counts Aug 12th Flower Power 2023
244 Erosion Win 11-5 -5.95 154 6.11% Counts (Why) Aug 13th Flower Power 2023
221 Moonlight Ultimate Win 11-10 -19.59 144 6.66% Counts Aug 13th Flower Power 2023
230 Birds of Paradise Win 13-6 9.94 152 6.66% Counts (Why) Aug 13th Flower Power 2023
69 Robot Loss 8-11 11 7 8.25% Counts Sep 9th 2023 Mixed So Cal Sectional Championship
39 Lotus** Loss 3-13 0 118 0% Ignored (Why) Sep 9th 2023 Mixed So Cal Sectional Championship
133 Karma Win 9-6 43.55 98 7.33% Counts Sep 9th 2023 Mixed So Cal Sectional Championship
18 Lawless** Loss 3-13 0 17 0% Ignored (Why) Sep 9th 2023 Mixed So Cal Sectional Championship
145 Family Style Win 11-9 29 70 8.25% Counts Sep 10th 2023 Mixed So Cal Sectional Championship
151 Spoiler Alert Loss 5-12 -46.55 197 7.91% Counts (Why) Sep 10th 2023 Mixed So Cal Sectional 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.