(8) #68 JLP (7-13)

1308.34 (9)

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# Opponent Result Effect % of Ranking Status Date Event
25 Rally Loss 4-13 -7.26 4.01% Counts (Why) Jun 22nd Summer Glazed Daze 2019
9 Toro Loss 8-13 4.46 4.01% Counts Jun 22nd Summer Glazed Daze 2019
136 Jackpot Win 13-8 6.09 4.01% Counts Jun 22nd Summer Glazed Daze 2019
16 Weird Loss 9-11 10.67 4.01% Counts Jun 23rd Summer Glazed Daze 2019
100 Rat City Win 11-9 1.41 4.01% Counts Jun 23rd Summer Glazed Daze 2019
59 8 Bit Heroes Win 13-11 12.7 4.01% Counts Jun 23rd Summer Glazed Daze 2019
55 Malice in Wonderland Loss 6-13 -20.31 4.01% Counts (Why) Jun 23rd Summer Glazed Daze 2019
4 Wild Card Loss 10-13 21.9 5.24% Counts Jul 27th TCT Select Flight Invite East 2019
36 Woodwork Loss 7-13 -15.16 5.24% Counts Jul 27th TCT Select Flight Invite East 2019
15 Steamboat Loss 6-12 -3.08 5.1% Counts Jul 27th TCT Select Flight Invite East 2019
126 Tequila Mockingbird Win 12-9 2.09 5.24% Counts Jul 27th TCT Select Flight Invite East 2019
29 The Chad Larson Experience Loss 10-13 3.18 5.24% Counts Jul 28th TCT Select Flight Invite East 2019
59 8 Bit Heroes Loss 10-13 -14 5.24% Counts Jul 28th TCT Select Flight Invite East 2019
43 Murmur Loss 10-13 -8.26 5.83% Counts Aug 10th HoDown ShowDown 23 GOAT
136 Jackpot Win 12-7 10.52 5.83% Counts (Why) Aug 10th HoDown ShowDown 23 GOAT
128 Liquid Hustle Win 13-8 11.6 5.83% Counts Aug 10th HoDown ShowDown 23 GOAT
39 'Shine Loss 7-11 -12.93 5.67% Counts Aug 10th HoDown ShowDown 23 GOAT
84 FlyTrap Win 15-12 12.99 5.83% Counts Aug 11th HoDown ShowDown 23 GOAT
43 Murmur Loss 10-15 -16.03 5.83% Counts Aug 11th HoDown ShowDown 23 GOAT
55 Malice in Wonderland Loss 14-15 -0.67 5.83% Counts Aug 11th HoDown ShowDown 23 GOAT
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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.