() #51 Chicago Parlay (5-13)

1394.45 (15)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
36 NOISE Loss 10-13 -8.67 16 5.18% Counts Jul 13th TCT Pro Elite Challenge East 2024
12 XIST Loss 8-10 8.59 16 5.04% Counts Jul 13th TCT Pro Elite Challenge East 2024
18 Space Force Loss 8-12 -3.57 32 5.18% Counts Jul 13th TCT Pro Elite Challenge East 2024
7 Sprocket Loss 5-15 -5.56 16 5.18% Counts (Why) Jul 14th TCT Pro Elite Challenge East 2024
88 RAMP Win 11-7 10.5 14 5.04% Counts Jul 14th TCT Pro Elite Challenge East 2024
44 Flight Club Loss 9-11 -8.32 14 5.18% Counts Jul 14th TCT Pro Elite Challenge East 2024
40 Pittsburgh Port Authority Loss 10-15 -18.72 14 5.81% Counts Jul 27th TCT Select Flight Invite East 2024
128 Mad Udderburn Win 15-6 6.06 13 5.81% Counts (Why) Jul 27th TCT Select Flight Invite East 2024
45 Wild Card Loss 9-11 -10.37 13 5.81% Counts Jul 27th TCT Select Flight Invite East 2024
129 Spectre Win 15-8 3.82 13 5.81% Counts (Why) Jul 28th TCT Select Flight Invite East 2024
59 League of Shadows Loss 10-13 -25.34 15 5.81% Counts Jul 28th TCT Select Flight Invite East 2024
47 Darkwing Loss 9-12 -16.9 14 5.81% Counts Jul 28th TCT Select Flight Invite East 2024
10 Tower Win 10-9 45.17 14 6.91% Counts Aug 17th TCT Elite Select Challenge 2024
3 Drag'n Thrust** Loss 3-15 0 14 0% Ignored (Why) Aug 17th TCT Elite Select Challenge 2024
28 Public Enemy Loss 10-11 8.64 15 6.91% Counts Aug 17th TCT Elite Select Challenge 2024
41 Love Tractor Loss 12-13 0.49 13 6.91% Counts Aug 18th TCT Elite Select Challenge 2024
33 Loco Loss 9-10 4.45 15 6.91% Counts Aug 18th TCT Elite Select Challenge 2024
63 The Chad Larson Experience Win 10-8 10.52 14 6.72% Counts Aug 18th TCT Elite Select Challenge 2024
**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.