() #11 Seattle Riot (10-8) NW 3

1994.34 (25)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
26 Underground Win 15-7 1.77 27 4.28% Counts (Why) Jul 8th TCT Pro Elite Challenge West 2023
4 Molly Brown Loss 8-14 -5.81 29 4.28% Counts Jul 8th TCT Pro Elite Challenge West 2023
13 Nightlock Win 15-10 14.49 29 4.28% Counts Jul 8th TCT Pro Elite Challenge West 2023
9 Traffic Loss 7-14 -20.64 29 4.28% Counts Jul 8th TCT Pro Elite Challenge West 2023
29 Colorado Small Batch Win 15-7 0.6 7 4.28% Counts (Why) Jul 9th TCT Pro Elite Challenge West 2023
13 Nightlock Win 14-11 8.21 29 4.28% Counts Jul 9th TCT Pro Elite Challenge West 2023
29 Colorado Small Batch Win 15-5 0.85 7 5.9% Counts (Why) Aug 19th TCT Elite Select Challenge 2023
12 Nemesis Loss 13-14 -11.2 22 5.9% Counts Aug 19th TCT Elite Select Challenge 2023
28 Pop Win 11-5 0.82 27 5.41% Counts (Why) Aug 19th TCT Elite Select Challenge 2023
10 BENT Win 14-13 13.55 51 5.9% Counts Aug 20th TCT Elite Select Challenge 2023
13 Nightlock Win 15-10 20.3 29 5.9% Counts Aug 20th TCT Elite Select Challenge 2023
7 Schwa Loss 6-15 -26.06 25 5.9% Counts (Why) Aug 20th TCT Elite Select Challenge 2023
8 6ixers Loss 12-15 -8.49 29 6.56% Counts Sep 2nd TCT Pro Championships 2023
3 Fury Loss 6-15 -6.22 28 6.56% Counts (Why) Sep 2nd TCT Pro Championships 2023
17 Grit Win 15-8 19.72 33 6.56% Counts (Why) Sep 2nd TCT Pro Championships 2023
4 Molly Brown Loss 14-15 19.76 29 6.56% Counts Sep 2nd TCT Pro Championships 2023
14 Parcha Loss 10-13 -33.47 28 6.56% Counts Sep 3rd TCT Pro Championships 2023
17 Grit Win 15-10 11.91 33 6.56% Counts Sep 4th TCT Pro Championships 2023
**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.