(1) #109 Squid Inc. (13-7)

926.59 (3)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
56 Bullet Train Loss 6-13 -12.47 1 4.64% Counts (Why) Aug 6th Kleinman Eruption 2022
200 Drip Win 12-8 -9.62 1 4.64% Counts Aug 6th Kleinman Eruption 2022
142 Surge Win 13-12 -2.97 3 4.64% Counts Aug 6th Kleinman Eruption 2022
90 Garden Party Loss 5-13 -24.01 3 4.64% Counts (Why) Aug 6th Kleinman Eruption 2022
142 Surge Win 12-9 7.75 3 4.64% Counts Aug 7th Kleinman Eruption 2022
145 Garbage Win 13-12 -3.5 4 4.64% Counts Aug 7th Kleinman Eruption 2022
140 Nebula Win 13-9 13.73 14 5.44% Counts Aug 27th Spawnfest 2022
162 Tricerabass Win 13-9 7.84 0 5.44% Counts Aug 27th Spawnfest 2022
145 Garbage Win 12-10 2.37 4 5.44% Counts Aug 27th Spawnfest 2022
140 Nebula Win 13-12 -3.17 14 5.44% Counts Aug 28th Spawnfest 2022
162 Tricerabass Win 15-11 5.68 0 5.44% Counts Aug 28th Spawnfest 2022
56 Bullet Train Loss 7-12 -11.4 1 6.06% Counts Sep 10th 2022 Washington Mixed Sectional Championship
2 BFG** Loss 5-13 0 2 0% Ignored (Why) Sep 10th 2022 Washington Mixed Sectional Championship
142 Surge Win 11-7 17.59 3 5.89% Counts Sep 10th 2022 Washington Mixed Sectional Championship
145 Garbage Win 12-10 2.65 4 6.06% Counts Sep 11th 2022 Washington Mixed Sectional Championship
67 Birdfruit Loss 9-13 -11.85 13 6.74% Counts Sep 24th 2022 Northwest Mixed Regional Championship
63 Yard Sale Loss 9-14 -14.73 3 6.74% Counts Sep 24th 2022 Northwest Mixed Regional Championship
7 Seattle Mixtape** Loss 5-15 0 3 0% Ignored (Why) Sep 24th 2022 Northwest Mixed Regional Championship
140 Nebula Win 13-8 22.84 14 6.74% Counts Sep 25th 2022 Northwest Mixed Regional Championship
162 Tricerabass Win 14-9 13.83 0 6.74% Counts Sep 25th 2022 Northwest Mixed 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.