(1) #138 Octonauts (7-13)

771.97 (1)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
184 Calamity Win 8-6 1.25 0 3.98% Counts Jul 9th Revolution
158 DR Win 9-7 7.09 0 4.25% Counts Jul 9th Revolution
65 Lights Out Loss 5-11 -8 2 4.25% Counts (Why) Jul 9th Revolution
92 Robot Loss 8-9 5.5 0 4.39% Counts Jul 9th Revolution
100 Sego Loss 8-10 -3.53 2 4.51% Counts Jul 10th Revolution
166 VU Win 9-7 5.67 1 4.25% Counts Jul 10th Revolution
167 Spoiler Alert Loss 9-10 -13.6 0 4.64% Counts Jul 10th Revolution
67 Birdfruit Loss 4-11 -10.03 13 4.99% Counts (Why) Jul 30th TCT Select Flight Invite West 2022
156 Birds of Paradise Loss 3-7 -28.3 0 3.95% Counts (Why) Jul 30th TCT Select Flight Invite West 2022
52 Donuts Loss 7-11 3.57 1 5.3% Counts Jul 30th TCT Select Flight Invite West 2022
54 Sacramento Tower Ultimate Loss 10-11 22.32 0 5.44% Counts Jul 30th TCT Select Flight Invite West 2022
150 Moontower Win 9-8 3.34 3 5.15% Counts Jul 31st TCT Select Flight Invite West 2022
93 Firefly Loss 10-13 -5.06 1 5.44% Counts Jul 31st TCT Select Flight Invite West 2022
131 Family Style Loss 8-9 -4.3 1 5.15% Counts Jul 31st TCT Select Flight Invite West 2022
35 California Burrito** Loss 6-15 0 2 0% Ignored (Why) Sep 10th 2022 So Cal Mixed Sectional Championship
147 Karma Loss 9-13 -37.72 1 7.49% Counts Sep 10th 2022 So Cal Mixed Sectional Championship
156 Birds of Paradise Win 8-5 24.11 0 6.2% Counts (Why) Sep 11th 2022 So Cal Mixed Sectional Championship
167 Spoiler Alert Win 10-7 17.92 0 7.09% Counts Sep 11th 2022 So Cal Mixed Sectional Championship
131 Family Style Win 9-6 33.12 1 6.66% Counts Sep 11th 2022 So Cal Mixed Sectional Championship
- Taco Truck Loss 6-10 -12.92 1 6.88% Counts Sep 11th 2022 So Cal Mixed Sectional 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.