(7) #71 American Barbecue (10-10)

1287.61 (3)

Click on column to sort  • 
# Opponent Result Effect % of Ranking Status Date Event
270 Delta Breeze** Win 13-1 0 0% Ignored Jun 29th Truckee River Ultimate Cooldown 2019
131 Argo Win 13-7 12.01 4.65% Jun 29th Truckee River Ultimate Cooldown 2019
103 Buckwild Win 12-5 18.85 4.47% Jun 29th Truckee River Ultimate Cooldown 2019
59 Cutthroat Loss 8-9 -2.89 4.4% Jun 29th Truckee River Ultimate Cooldown 2019
89 Alchemy Win 12-11 1.16 4.65% Jun 30th Truckee River Ultimate Cooldown 2019
51 Garage Sale Loss 8-12 -13.4 4.65% Jun 30th Truckee River Ultimate Cooldown 2019
59 Cutthroat Loss 9-15 -22.13 4.65% Jun 30th Truckee River Ultimate Cooldown 2019
53 Pivot Loss 8-11 -12.24 5.46% Jul 20th Revolution 2019
89 Alchemy Win 10-9 1.37 5.46% Jul 20th Revolution 2019
144 Family Style Loss 9-10 -30.25 5.46% Jul 20th Revolution 2019
83 Donuts Loss 9-10 -11.09 5.46% Jul 20th Revolution 2019
97 Absolute Zero Win 10-9 -2.13 5.46% Jul 21st Revolution 2019
38 Classy Loss 11-12 9.88 5.46% Jul 21st Revolution 2019
83 Donuts Win 10-7 17.58 5.17% Jul 21st Revolution 2019
24 Alloy Loss 7-13 -6.64 5.76% Jul 27th TCT Select Flight Invite East 2019
28 The Chad Larson Experience Loss 10-13 3.5 5.76% Jul 27th TCT Select Flight Invite East 2019
27 Hybrid Loss 7-13 -9.58 5.76% Jul 27th TCT Select Flight Invite East 2019
127 Tequila Mockingbird Win 13-7 16.53 5.76% Jul 27th TCT Select Flight Invite East 2019
112 Bird Win 13-9 12.17 5.76% Jul 28th TCT Select Flight Invite East 2019
65 Northern Comfort Win 11-9 17.37 5.76% Jul 28th TCT Select Flight Invite East 2019
**Blowout Eligible

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.