(1) #12 Pittsburgh Temper (11-7) MA 2

1889.86 (36)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
57 Red Circus Win 13-7 -2.64 89 5.06% Counts (Why) Jul 27th TCT Select Flight Invite East 2019
30 Black Market I Win 13-7 10.81 0 5.06% Counts (Why) Jul 27th TCT Select Flight Invite East 2019
24 Brickhouse Win 13-8 9.29 7 5.06% Counts Jul 27th TCT Select Flight Invite East 2019
25 General Strike Loss 14-15 -23.96 98 5.06% Counts Jul 28th TCT Select Flight Invite East 2019
57 Red Circus** Win 13-4 0 89 0% Ignored (Why) Jul 28th TCT Select Flight Invite East 2019
36 Nitro Win 13-10 -5.24 125 5.06% Counts Jul 28th TCT Select Flight Invite East 2019
39 Inception Win 15-6 7.87 3 5.93% Counts (Why) Aug 17th TCT Elite Select Challenge 2019
21 Brickyard Win 15-11 11.3 16 5.93% Counts Aug 17th TCT Elite Select Challenge 2019
19 Voodoo Win 15-6 28.11 39 5.93% Counts (Why) Aug 17th TCT Elite Select Challenge 2019
11 Johnny Bravo Loss 8-11 -22.5 31 5.93% Counts Aug 18th TCT Elite Select Challenge 2019
15 Rhino Slam! Win 12-10 12.73 47 5.93% Counts Aug 18th TCT Elite Select Challenge 2019
18 Patrol Win 9-7 7.36 57 5.44% Counts Aug 18th TCT Elite Select Challenge 2019
6 Sub Zero Loss 12-14 -3.36 30 6.6% Counts Aug 31st TCT Pro Championships 2019
14 Doublewide Loss 6-15 -43.65 38 6.6% Counts (Why) Aug 31st TCT Pro Championships 2019
4 Ring of Fire Loss 8-13 -15.56 33 6.6% Counts Aug 31st TCT Pro Championships 2019
10 DiG Loss 14-15 -3.38 32 6.6% Counts Sep 1st TCT Pro Championships 2019
2 Truck Stop Win 13-12 28.6 33 6.6% Counts Sep 1st TCT Pro Championships 2019
3 PoNY Loss 12-14 4.04 38 6.6% Counts Sep 1st TCT Pro Championships 2019
**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.