(1) #112 Dallas United Outlaws (6-13)

795.79 (1)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
151 San Antonio Warhawks Win 13-6 6.69 1 3.94% Counts (Why) Jun 18th Texas 2 Finger Tournament 2022
34 H.I.P Loss 6-15 -0.98 1 3.94% Counts (Why) Jun 18th Texas 2 Finger Tournament 2022
81 Flash Flood Loss 10-11 1.68 1 3.94% Counts Jun 18th Texas 2 Finger Tournament 2022
166 Meadowlark** Win 13-4 0 6 0% Ignored (Why) Jun 18th Texas 2 Finger Tournament 2022
93 Cowtown Cannons Loss 5-12 -19.05 1 3.78% Counts (Why) Jun 19th Texas 2 Finger Tournament 2022
- Deaf Fruit** Win 13-3 0 1 0% Ignored (Why) Jul 30th PBJ 2022
64 Alamode Loss 10-13 -0.53 1 5.42% Counts Jul 30th PBJ 2022
84 Foxtrot Loss 8-13 -19.82 1 5.42% Counts Jul 30th PBJ 2022
69 Riverside Loss 7-13 -15.7 1 5.42% Counts Jul 31st PBJ 2022
34 H.I.P Loss 6-13 -1.37 1 5.42% Counts (Why) Jul 31st PBJ 2022
64 Alamode Loss 9-10 11.12 1 5.42% Counts Jul 31st PBJ 2022
119 Firefly TX Loss 8-11 -24.25 1 5.42% Counts Jul 31st PBJ 2022
- Shrimp Discs Win 11-10 4.27 1 7.47% Counts Sep 10th 2022 Texas Mens Sectional Championship
- STUFF Win 14-5 11.86 1 7.47% Counts (Why) Sep 10th 2022 Texas Mens Sectional Championship
57 Gamble Loss 11-14 5.04 1 7.47% Counts Sep 10th 2022 Texas Mens Sectional Championship
86 Harvey Cats Win 12-7 53.16 1 7.47% Counts (Why) Sep 11th 2022 Texas Mens Sectional Championship
81 Flash Flood Loss 8-9 3.11 1 7.06% Counts Sep 11th 2022 Texas Mens Sectional Championship
119 Firefly TX Loss 10-11 -14.72 1 7.47% Counts Sep 11th 2022 Texas Mens Sectional Championship
86 Harvey Cats Loss 10-11 1.07 1 7.47% Counts Sep 11th 2022 Texas Mens 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.