() #172 Adventure Time (1-19)

-93.24 (1)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
151 San Antonio Warhawks Loss 3-9 -11.15 1 7.01% Counts (Why) Jun 25th Dog Days of Summer
43 Clutch** Loss 1-11 0 4 0% Ignored (Why) Jun 25th Dog Days of Summer
93 Cowtown Cannons** Loss 4-11 0 1 0% Ignored (Why) Jun 25th Dog Days of Summer
86 Harvey Cats** Loss 2-11 0 1 0% Ignored (Why) Jun 25th Dog Days of Summer
84 Foxtrot** Loss 0-11 0 1 0% Ignored (Why) Jun 26th Dog Days of Summer
57 Gamble** Loss 2-11 0 1 0% Ignored (Why) Jun 26th Dog Days of Summer
119 Firefly TX** Loss 3-11 0 1 0% Ignored (Why) Jun 26th Dog Days of Summer
34 H.I.P** Loss 1-11 0 1 0% Ignored (Why) Jun 26th Dog Days of Summer
69 Riverside** Loss 2-13 0 1 0% Ignored (Why) Jul 30th PBJ 2022
151 San Antonio Warhawks Loss 7-10 7.3 1 10.47% Counts Jul 30th PBJ 2022
119 Firefly TX** Loss 5-13 0 1 0% Ignored (Why) Jul 30th PBJ 2022
57 Gamble** Loss 2-13 0 1 0% Ignored (Why) Jul 30th PBJ 2022
151 San Antonio Warhawks Loss 8-12 1.36 1 11.07% Counts Jul 31st PBJ 2022
93 Cowtown Cannons** Loss 2-13 0 1 0% Ignored (Why) Jul 31st PBJ 2022
- Deaf Fruit Win 10-7 14.53 1 10.47% Counts Jul 31st PBJ 2022
152 Riverside Messengers-B Loss 8-13 -9.77 1 15.24% Counts Sep 10th 2022 Texas Mens Sectional Championship
57 Gamble** Loss 3-15 0 1 0% Ignored (Why) Sep 10th 2022 Texas Mens Sectional Championship
- STUFF Loss 7-14 -26.42 1 15.24% Counts Sep 10th 2022 Texas Mens Sectional Championship
151 San Antonio Warhawks Loss 6-14 -26.6 1 15.24% Counts (Why) Sep 11th 2022 Texas Mens Sectional Championship
- Shrimp Discs Loss 8-14 50.53 1 15.24% Counts Sep 11th 2022 Texas Mens 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.