(2) #208 Piedmont United (4-14)

469.97 (19)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
61 Malice in Wonderland** Loss 5-13 0 26 0% Ignored (Why) Jul 22nd Filling the Void 2023
195 Swampbenders Loss 9-10 -3.28 10 6.6% Counts Jul 22nd Filling the Void 2023
69 Too Much Fun Loss 9-13 23.24 67 6.6% Counts Jul 22nd Filling the Void 2023
237 Rampage Win 13-7 20.56 22 6.6% Counts (Why) Jul 23rd Filling the Void 2023
248 Pickles Win 13-5 11.07 24 6.6% Counts (Why) Jul 23rd Filling the Void 2023
104 Legion Loss 7-13 0.47 10 6.6% Counts Jul 23rd Filling the Void 2023
43 Dirty Bird** Loss 1-15 0 105 0% Ignored (Why) Aug 12th HoDown Showdown 2023
199 MoonPi Win 14-10 38.69 36 7.75% Counts Aug 12th HoDown Showdown 2023
108 Bear Jordan Loss 5-15 -3.6 49 7.75% Counts (Why) Aug 12th HoDown Showdown 2023
124 Magnanimouse Loss 4-15 -9.1 20 7.75% Counts (Why) Aug 13th HoDown Showdown 2023
79 Brunch Club Loss 8-14 12.02 44 7.75% Counts Aug 13th HoDown Showdown 2023
148 Verdant Loss 5-15 -21.8 14 7.75% Counts (Why) Aug 13th HoDown Showdown 2023
22 Storm** Loss 4-13 0 14 0% Ignored (Why) Sep 9th 2023 Mixed North Carolina Sectional Championship
124 Magnanimouse Loss 6-11 -5.49 20 9.07% Counts Sep 9th 2023 Mixed North Carolina Sectional Championship
69 Too Much Fun** Loss 3-13 0 67 0% Ignored (Why) Sep 9th 2023 Mixed North Carolina Sectional Championship
79 Brunch Club** Loss 4-13 0 44 0% Ignored (Why) Sep 9th 2023 Mixed North Carolina Sectional Championship
237 Rampage Loss 11-13 -52.55 22 9.59% Counts Sep 10th 2023 Mixed North Carolina Sectional Championship
248 Pickles Win 13-10 -12.23 24 9.59% Counts Sep 10th 2023 Mixed North Carolina 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.