(15) #113 Shipwreck (8-12)

1021.03 (174)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
153 DR Win 9-8 -3.23 136 4.1% Counts Jul 8th Revolution 2023
172 Nebula Win 9-3 11.74 81 3.59% Counts (Why) Jul 8th Revolution 2023
88 Mango Loss 4-10 -19.51 57 3.79% Counts (Why) Jul 8th Revolution 2023
59 Grit City Loss 4-9 -11.49 153 3.59% Counts (Why) Jul 8th Revolution 2023
134 Firefly Win 13-6 21.61 162 4.34% Counts (Why) Jul 9th Revolution 2023
91 Hive Loss 8-12 -16.28 171 4.34% Counts Jul 9th Revolution 2023
60 Cutthroat Loss 10-14 -4.96 38 4.34% Counts Jul 9th Revolution 2023
69 Robot Loss 9-11 -0.96 7 5.67% Counts Aug 12th Flower Power 2023
102 Party Wave Win 10-9 9.43 117 5.67% Counts Aug 12th Flower Power 2023
165 Octonauts Win 10-5 16.91 174 5.03% Counts (Why) Aug 12th Flower Power 2023
88 Mango Loss 7-8 -1.07 57 5.03% Counts Aug 12th Flower Power 2023
153 DR Loss 11-13 -25.78 136 5.67% Counts Aug 13th Flower Power 2023
80 Flagstaff Ultimate Loss 10-13 -10.34 16 5.67% Counts Aug 13th Flower Power 2023
88 Mango Loss 8-13 -23.5 57 5.67% Counts Aug 13th Flower Power 2023
69 Robot Win 8-7 23.8 7 6.23% Counts Sep 9th 2023 Mixed So Cal Sectional Championship
43 California Burrito Loss 6-13 -9.6 95 7.01% Counts (Why) Sep 9th 2023 Mixed So Cal Sectional Championship
230 Birds of Paradise** Win 13-2 0 152 0% Ignored (Why) Sep 9th 2023 Mixed So Cal Sectional Championship
18 Lawless Loss 6-12 11.15 17 6.82% Counts Sep 9th 2023 Mixed So Cal Sectional Championship
80 Flagstaff Ultimate Win 14-10 41.83 16 7.01% Counts Sep 10th 2023 Mixed So Cal Sectional Championship
43 California Burrito Loss 3-11 -8.75 95 6.43% Counts (Why) Sep 10th 2023 Mixed So Cal 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.