() #6 Slow White (16-4) NE 2

1995.28 (36)

Click on column to sort  • 
# Opponent Result Effect % of Ranking Status Date Event
105 Battleship** Win 13-4 0 0% Ignored (Why) Jun 22nd Boston Invite 2019
56 Darkwing Win 11-7 -5.37 4.37% Counts Jun 22nd Boston Invite 2019
72 Chaotic Good** Win 15-6 0 0% Ignored (Why) Jun 22nd Boston Invite 2019
12 Snake Country Win 12-11 0.25 4.49% Counts Jun 22nd Boston Invite 2019
4 Wild Card Win 13-12 7.64 4.49% Counts Jun 23rd Boston Invite 2019
63 Metro North Win 15-9 -6.72 4.49% Counts Jun 23rd Boston Invite 2019
2 AMP Loss 7-15 -22.28 4.49% Counts (Why) Jun 23rd Boston Invite 2019
7 BFG Loss 10-12 -14.57 5.27% Counts Jul 13th TCT Pro Elite Challenge 2019
34 NOISE Win 13-7 9.69 5.27% Counts (Why) Jul 13th TCT Pro Elite Challenge 2019
5 shame. Win 13-11 12.96 5.27% Counts Jul 13th TCT Pro Elite Challenge 2019
1 Drag'n Thrust Win 13-9 31.48 5.27% Counts Jul 14th TCT Pro Elite Challenge 2019
19 Polar Bears Win 10-9 -4.83 5.27% Counts Jul 14th TCT Pro Elite Challenge 2019
5 shame. Win 13-10 18.49 5.27% Counts Jul 14th TCT Pro Elite Challenge 2019
17 Love Tractor Loss 10-12 -23.46 5.27% Counts Jul 14th TCT Pro Elite Challenge 2019
34 NOISE Win 13-11 -11.43 6.88% Counts Aug 17th TCT Elite Select Challenge 2019
19 Polar Bears Win 15-11 12.52 6.88% Counts Aug 17th TCT Elite Select Challenge 2019
42 Jughandle Win 13-11 -18.62 6.88% Counts Aug 17th TCT Elite Select Challenge 2019
4 Wild Card Loss 7-9 -16.31 6.32% Counts Aug 18th TCT Elite Select Challenge 2019
14 Lochsa Win 10-9 -1.44 6.88% Counts Aug 18th TCT Elite Select Challenge 2019
9 Toro Win 12-7 32.26 6.88% Counts (Why) Aug 18th TCT Elite Select Challenge 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.