() #63 The Chad Larson Experience (8-11)

1277.75 (14)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
118 Bullet Train Win 11-7 6 10 4.31% Counts Jun 22nd Colorado Summer Solstice 2024
24 Lotus Loss 6-13 -8.22 13 4.43% Counts (Why) Jun 22nd Colorado Summer Solstice 2024
100 Low Oxygen Win 15-7 16.22 10 4.43% Counts (Why) Jun 22nd Colorado Summer Solstice 2024
24 Lotus Loss 5-13 -8.22 13 4.43% Counts (Why) Jun 23rd Colorado Summer Solstice 2024
41 Love Tractor Loss 7-11 -9.85 13 4.31% Counts Jun 23rd Colorado Summer Solstice 2024
40 Pittsburgh Port Authority Win 9-8 17.14 14 4.19% Counts Jun 23rd Colorado Summer Solstice 2024
121 Shipwreck Win 8-2 9.18 12 3.45% Counts (Why) Jun 23rd Colorado Summer Solstice 2024
139 Northern Comfort Win 13-7 7.74 14 5.91% Counts (Why) Jul 27th TCT Select Flight Invite East 2024
76 Steamboat Loss 10-13 -24.92 15 5.91% Counts Jul 27th TCT Select Flight Invite East 2024
26 UNION Win 13-12 33.6 14 5.91% Counts Jul 27th TCT Select Flight Invite East 2024
47 Darkwing Win 12-10 26.78 14 5.91% Counts Jul 28th TCT Select Flight Invite East 2024
59 League of Shadows Loss 9-12 -19.57 15 5.91% Counts Jul 28th TCT Select Flight Invite East 2024
88 RAMP Win 12-11 -1.72 14 5.91% Counts Jul 28th TCT Select Flight Invite East 2024
16 'Shine Loss 7-14 -6.52 15 7.03% Counts Aug 17th TCT Elite Select Challenge 2024
9 Mischief** Loss 1-15 0 14 0% Ignored (Why) Aug 17th TCT Elite Select Challenge 2024
14 Seattle Mixtape Loss 7-15 -5.79 14 7.03% Counts (Why) Aug 17th TCT Elite Select Challenge 2024
51 Chicago Parlay Loss 8-10 -10.72 15 6.84% Counts Aug 18th TCT Elite Select Challenge 2024
23 Lawless Loss 9-15 -6.04 14 7.03% Counts Aug 18th TCT Elite Select Challenge 2024
37 Townies Loss 8-13 -16.1 14 7.03% Counts Aug 18th TCT Elite Select Challenge 2024
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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.