(2) #13 Toro (12-8) SE 1

1850.48 (24)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
153 Jackpot** Win 13-2 0 3 0% Ignored (Why) Jun 22nd Summer Glazed Daze 2019
62 JLP Win 13-8 -0.13 80 3.77% Counts Jun 22nd Summer Glazed Daze 2019
23 Rally Loss 11-13 -14.42 14 3.77% Counts Jun 22nd Summer Glazed Daze 2019
15 Loco Win 13-9 14.51 17 3.77% Counts Jun 23rd Summer Glazed Daze 2019
55 Malice in Wonderland Win 13-6 6.24 29 3.77% Counts (Why) Jun 23rd Summer Glazed Daze 2019
23 Rally Win 13-10 7.41 14 3.77% Counts Jun 23rd Summer Glazed Daze 2019
16 Weird Win 15-13 6.29 20 3.77% Counts Jun 23rd Summer Glazed Daze 2019
41 BW Ultimate Win 14-6 17.7 119 5.78% Counts (Why) Aug 17th TCT Elite Select Challenge 2019
11 Lochsa Loss 11-15 -21.33 49 5.78% Counts Aug 17th TCT Elite Select Challenge 2019
5 Wild Card Loss 9-13 -16.33 6 5.78% Counts Aug 17th TCT Elite Select Challenge 2019
15 Loco Win 12-6 31.64 17 5.62% Counts (Why) Aug 18th TCT Elite Select Challenge 2019
14 Love Tractor Win 8-6 14.42 3 4.96% Counts Aug 18th TCT Elite Select Challenge 2019
4 Slow White Loss 7-12 -21.8 12 5.78% Counts Aug 18th TCT Elite Select Challenge 2019
16 Weird Win 9-6 19.74 20 5.13% Counts Aug 18th TCT Elite Select Challenge 2019
2 AMP Win 13-11 33.36 14 6.43% Counts Aug 31st TCT Pro Championships 2019
37 Jughandle Loss 12-13 -28.33 15 6.43% Counts Aug 31st TCT Pro Championships 2019
9 Snake Country Loss 8-11 -19.94 21 6.43% Counts Aug 31st TCT Pro Championships 2019
8 shame. Loss 10-15 -25.92 10 6.43% Counts Sep 1st TCT Pro Championships 2019
10 Space Heater Loss 10-14 -24.14 13 6.43% Counts Sep 1st TCT Pro Championships 2019
31 XIST Win 15-9 19.98 14 6.43% 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.