(15) #82 PanIC (11-10)

1221.25 (19)

Click on column to sort  • 
# Opponent Result Effect % of Ranking Status Date Event
49 7 Sins Loss 7-13 -13.64 4.14% Counts Jun 29th Spirit of the Plains 2019
209 Madison United Mixed Ultimate Win 13-7 -6.34 4.14% Counts (Why) Jun 29th Spirit of the Plains 2019
99 Shakedown Loss 8-10 -15.98 4.03% Counts Jun 29th Spirit of the Plains 2019
113 Pandamonium Loss 6-10 -26.75 3.8% Counts Jun 30th Spirit of the Plains 2019
126 Tequila Mockingbird Win 9-7 2.33 3.8% Counts Jun 30th Spirit of the Plains 2019
22 Chalice Loss 4-13 -2.47 4.14% Counts (Why) Jun 30th Spirit of the Plains 2019
123 Hellbenders Loss 9-11 -20.16 4.14% Counts Jun 30th Spirit of the Plains 2019
171 Mousetrap Win 13-10 -9.25 5.41% Counts Aug 3rd Heavyweights 2019
266 Fox Valley Forge** Win 13-2 0 0% Ignored (Why) Aug 3rd Heavyweights 2019
132 EMU Win 13-5 19.72 5.41% Counts (Why) Aug 3rd Heavyweights 2019
174 Stackcats Win 13-3 5.72 5.41% Counts (Why) Aug 3rd Heavyweights 2019
106 Nothing's Great Again Win 13-6 25.7 5.41% Counts (Why) Aug 4th Heavyweights 2019
67 Northern Comfort Win 13-11 18.16 5.41% Counts Aug 4th Heavyweights 2019
58 Toast Win 14-13 16.49 5.41% Counts Aug 4th Heavyweights 2019
26 Hybrid Loss 7-13 -4.12 6.02% Counts Aug 17th Cooler Classic 31
36 Woodwork Loss 8-13 -8.06 6.02% Counts Aug 17th Cooler Classic 31
67 Northern Comfort Loss 10-13 -15.32 6.02% Counts Aug 17th Cooler Classic 31
109 Bird Win 11-7 18.45 5.85% Counts Aug 17th Cooler Classic 31
22 Chalice Loss 5-9 0.75 5.16% Counts Aug 18th Cooler Classic 31
85 Risky Business Win 10-6 28.02 5.52% Counts (Why) Aug 18th Cooler Classic 31
67 Northern Comfort Loss 5-7 -12.01 4.78% Counts Aug 18th Cooler Classic 31
**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.