(1) #50 Jughandle (9-11)

1393.45 (13)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
12 'Shine Win 15-8 44.26 30 4.15% Counts (Why) Jun 24th FROGS
6 Sprocket Loss 11-15 6.51 26 4.15% Counts Jun 24th FROGS
7 XIST Loss 2-15 -3.14 94 4.15% Counts (Why) Jun 24th FROGS
45 Wild Card Win 15-13 12.05 16 4.15% Counts Jun 24th FROGS
65 League of Shadows Loss 12-13 -11.68 2 4.15% Counts Jun 25th FROGS
3 AMP Loss 8-12 11.94 31 4.87% Counts Jul 15th TCT Pro Elite Challenge East 2023
6 Sprocket Loss 7-12 0.56 26 4.87% Counts Jul 15th TCT Pro Elite Challenge East 2023
30 Waterloo Loss 5-10 -15.92 71 4.33% Counts Jul 15th TCT Pro Elite Challenge East 2023
42 The Chad Larson Experience Loss 11-13 -7.23 14 4.87% Counts Jul 16th TCT Pro Elite Challenge East 2023
164 Espionage Win 14-9 -10.05 8 6.36% Counts Aug 19th Philly Invite 2023
55 Garbage Plates Loss 11-13 -19.01 25 6.36% Counts Aug 19th Philly Invite 2023
146 Heavy Flow Win 15-7 2.07 11 6.36% Counts (Why) Aug 19th Philly Invite 2023
38 Pittsburgh Port Authority Loss 11-14 -13.96 28 6.36% Counts Aug 20th Philly Invite 2023
55 Garbage Plates Loss 10-11 -11.96 25 6.36% Counts Aug 20th Philly Invite 2023
65 League of Shadows Win 12-10 6.34 2 6.36% Counts Aug 20th Philly Invite 2023
149 ColorBomb Win 13-5 0.96 13 7.46% Counts (Why) Sep 9th 2023 Mixed Founders Sectional Championship
184 Crucible** Win 13-2 0 16 0% Ignored (Why) Sep 9th 2023 Mixed Founders Sectional Championship
227 The Incidentals** Win 13-3 0 13 0% Ignored (Why) Sep 9th 2023 Mixed Founders Sectional Championship
38 Pittsburgh Port Authority Loss 9-11 -11.41 28 7.46% Counts Sep 10th 2023 Mixed Founders Sectional Championship
97 Farm Show Win 12-6 18.86 19 7.26% Counts (Why) Sep 10th 2023 Mixed Founders Sectional Championship
**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.