(2) #95 Scarecrow (11-8)

1068.5 (6)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
147 FLI Win 12-7 13.19 12 4.65% Counts (Why) Jul 8th AntlerLock
120 WHUF [B] Win 13-8 19.49 6 4.65% Counts Jul 8th AntlerLock
96 Bench Win 13-5 29.22 17 4.65% Counts (Why) Jul 8th AntlerLock
218 Sugar Shack** Win 15-3 0 8 0% Ignored (Why) Jul 8th AntlerLock
84 Buffalo Lake Effect Loss 9-10 -3.09 30 4.65% Counts Jul 8th AntlerLock
111 Lampshade Loss 5-6 -6.9 1 3.54% Counts Jul 9th AntlerLock
195 Swampbenders Win 13-6 4.89 10 5.76% Counts (Why) Aug 5th Philly Open 2023
184 Crucible Win 13-5 8.06 16 5.76% Counts (Why) Aug 5th Philly Open 2023
71 Grand Army Win 9-8 15.02 70 5.45% Counts Aug 5th Philly Open 2023
164 Espionage Loss 7-9 -32.14 8 5.28% Counts Aug 6th Philly Open 2023
119 Mashed Loss 6-13 -41.81 5 5.76% Counts (Why) Aug 6th Philly Open 2023
84 Buffalo Lake Effect Win 7-6 9.34 30 4.76% Counts Aug 6th Philly Open 2023
47 Darkwing Loss 3-13 -20.24 39 7.52% Counts (Why) Sep 9th 2023 Mixed East New England Sectional Championship
163 Sunken Circus Win 12-10 -4.77 10 7.52% Counts Sep 9th 2023 Mixed East New England Sectional Championship
6 Sprocket** Loss 6-15 0 26 0% Ignored (Why) Sep 9th 2023 Mixed East New England Sectional Championship
64 Obscure Loss 13-15 -2.63 59 7.52% Counts Sep 9th 2023 Mixed East New England Sectional Championship
190 Rainbow Win 15-7 7.86 11 7.52% Counts (Why) Sep 10th 2023 Mixed East New England Sectional Championship
65 League of Shadows Loss 12-15 -9.78 2 7.52% Counts Sep 10th 2023 Mixed East New England Sectional Championship
111 Lampshade Win 13-11 13.47 1 7.52% Counts Sep 10th 2023 Mixed East New England 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.