() #3 Chicago Machine (15-2) GL 1

2260.45 (34)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
24 Emerald City Win 15-8 -9 72 6.84% Counts (Why) Aug 7th 2021 US Open Club Championships
11 SoCal Condors Win 15-9 12.2 58 6.84% Counts (Why) Aug 7th 2021 US Open Club Championships
40 Mallard** Win 15-6 0 21 0% Ignored (Why) Aug 7th 2021 US Open Club Championships
4 Chain Lightning Win 15-10 39.5 5 7.25% Counts (Why) Aug 8th 2021 US Open Club Championships
7 Truck Stop Win 15-13 -7.53 33 7.25% Counts Aug 8th 2021 US Open Club Championships
2 Sockeye Loss 12-15 -45.75 75 7.25% Counts (Why) Aug 8th 2021 US Open Club Championships
58 Inception** Win 15-2 0 19 0% Ignored (Why) Sep 4th TCT Pro Championships 2021
12 Rhino Slam! Win 15-11 13.6 16 8.62% Counts (Why) Sep 4th TCT Pro Championships 2021
6 Johnny Bravo Win 13-11 -6.32 38 8.62% Counts Sep 4th TCT Pro Championships 2021
15 Lotus Win 15-10 11.3 38 9.13% Counts (Why) Sep 5th TCT Pro Championships 2021
2 Sockeye Loss 10-12 -18.63 75 9.13% Counts Sep 5th TCT Pro Championships 2021
12 Rhino Slam! Win 15-9 14.49 16 9.13% Counts (Why) Sep 6th TCT Pro Championships 2021
170 Black Market II** Win 13-1 0 263 0% Ignored (Why) Sep 18th Central Plains Mens Club Sectional Championship 2021
61 Beachfront Property** Win 13-5 0 0% Ignored (Why) Sep 18th Central Plains Mens Club Sectional Championship 2021
18 Indy Club Win 13-6 -1.81 9.68% Counts (Why) Sep 18th Central Plains Mens Club Sectional Championship 2021
61 Beachfront Property** Win 15-6 0 0% Ignored (Why) Sep 19th Central Plains Mens Club Sectional Championship 2021
18 Indy Club Win 13-8 -1.93 10.25% Counts (Why) Sep 19th Central Plains Mens Club Sectional Championship 2021
**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.