(2) #32 NOISE (10-8)

1611.8 (2)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
6 BFG Loss 10-13 1.6 9 5.57% Counts Jul 13th TCT Pro Elite Challenge 2019
8 shame. Loss 7-13 -14.31 10 5.57% Counts Jul 13th TCT Pro Elite Challenge 2019
4 Slow White Loss 7-13 -9.07 12 5.57% Counts Jul 13th TCT Pro Elite Challenge 2019
43 Birdfruit Win 11-10 1.83 20 5.57% Counts Jul 14th TCT Pro Elite Challenge 2019
11 Lochsa Loss 8-10 0.53 49 5.42% Counts Jul 14th TCT Pro Elite Challenge 2019
37 Jughandle Win 13-10 16.46 15 5.57% Counts Jul 14th TCT Pro Elite Challenge 2019
37 Jughandle Win 12-11 5.97 15 7.27% Counts Aug 17th TCT Elite Select Challenge 2019
20 Polar Bears Loss 10-12 -7.36 26 7.27% Counts Aug 17th TCT Elite Select Challenge 2019
4 Slow White Loss 11-13 13.69 12 7.27% Counts Aug 17th TCT Elite Select Challenge 2019
14 Love Tractor Win 8-7 23.43 3 6.46% Counts Aug 18th TCT Elite Select Challenge 2019
20 Polar Bears Loss 6-8 -10.39 26 6.24% Counts Aug 18th TCT Elite Select Challenge 2019
7 Mischief Loss 5-11 -20.31 14 6.67% Counts (Why) Aug 18th TCT Elite Select Challenge 2019
248 Dinosaur Fancy** Win 13-1 0 88 0% Ignored (Why) Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
141 Mad Udderburn** Win 13-2 0 60 0% Ignored (Why) Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
218 Great Minnesota Get Together** Win 13-1 0 190 0% Ignored (Why) Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
154 Melt Win 13-7 -13.1 1 8.53% Counts (Why) Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
51 Minnesota Star Power Win 11-9 8.99 18 8.53% Counts Sep 8th Northwest Plains Mixed Club Sectional Championship 2019
92 Mojo Jojo Win 12-8 2.1 33 8.53% Counts Sep 8th Northwest Plains Mixed Club Sectional Championship 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.