(4) #47 Red Circus (8-10)

1449.91 (49)

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# Opponent Result Effect % of Ranking Status Date Event
131 Club M - Magma Win 15-6 1.89 4.78% Counts (Why) Jun 22nd Boston Invite 2019
58 Deathsquad Win 13-12 1.45 4.78% Counts Jun 22nd Boston Invite 2019
57 Lantern Loss 12-13 -10.96 4.78% Counts Jun 22nd Boston Invite 2019
11 DiG Loss 7-15 0.94 4.78% Counts (Why) Jun 22nd Boston Invite 2019
107 Somerville BAG Win 14-13 -15.17 4.78% Counts Jun 23rd Boston Invite 2019
59 Genny, The Boys Win 12-11 0.37 4.78% Counts Jun 23rd Boston Invite 2019
73 Red Tide Loss 9-11 -25.36 4.78% Counts Jun 23rd Boston Invite 2019
29 Black Market I Win 12-11 19.62 6.24% Counts Jul 27th TCT Select Flight Invite East 2019
28 Brickhouse Win 13-9 41.02 6.24% Counts Jul 27th TCT Select Flight Invite East 2019
12 Pittsburgh Temper Loss 7-13 2.66 6.24% Counts Jul 27th TCT Select Flight Invite East 2019
41 Nain Rouge Win 13-10 24.79 6.24% Counts Jul 27th TCT Select Flight Invite East 2019
15 CLE Smokestack Loss 7-13 -5.38 6.24% Counts Jul 28th TCT Select Flight Invite East 2019
12 Pittsburgh Temper Loss 4-13 -0.17 6.24% Counts (Why) Jul 28th TCT Select Flight Invite East 2019
4 SoCal Condors** Loss 5-15 0 0% Ignored (Why) Aug 17th TCT Elite Select Challenge 2019
16 Chain Lightning Loss 7-15 -9.76 7.32% Counts (Why) Aug 17th TCT Elite Select Challenge 2019
31 Prairie Fire Loss 8-15 -34.3 7.32% Counts Aug 17th TCT Elite Select Challenge 2019
40 Guerrilla Loss 9-11 -13.76 7.32% Counts Aug 17th TCT Elite Select Challenge 2019
42 Inception Win 10-8 22.39 7.13% Counts Aug 18th TCT Elite Select Challenge 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.