(1) #68 Knights of Ni (13-7)

1329.2 (19)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
28 General Strike Loss 5-15 -11.41 19 4.92% Counts (Why) Jun 22nd Minnesota Warm Up 2024
21 Mad Men Loss 6-15 -5.68 19 4.92% Counts (Why) Jun 22nd Minnesota Warm Up 2024
22 Mallard Loss 7-15 -6.69 21 4.92% Counts (Why) Jun 22nd Minnesota Warm Up 2024
143 Timber Win 15-10 -0.21 19 4.92% Counts Jun 23rd Minnesota Warm Up 2024
194 Minnesota Superior U17B** Win 15-4 0 20 0% Ignored (Why) Jun 23rd Minnesota Warm Up 2024
210 Loaded Panda** Win 15-0 0 21 0% Ignored (Why) Jun 23rd Minnesota Warm Up 2024
52 Chimney Loss 6-15 -26.53 17 5.52% Counts (Why) Jul 6th Heavyweights 2024
192 DCVIII Win 15-7 -10.53 43 5.52% Counts (Why) Jul 6th Heavyweights 2024
119 Trident II Win 15-4 16.29 21 5.52% Counts (Why) Jul 6th Heavyweights 2024
60 Zoboomafoo Win 14-11 23.06 18 5.52% Counts Jul 6th Heavyweights 2024
31 Flying Dutchmen Loss 7-15 -17.15 16 5.52% Counts (Why) Jul 7th Heavyweights 2024
56 I-69 Loss 9-10 -0.14 17 5.52% Counts Jul 7th Heavyweights 2024
131 Roundhouse Win 11-10 -15.73 21 5.52% Counts Jul 7th Heavyweights 2024
145 Carbon Win 13-5 10.44 16 6.95% Counts (Why) Aug 3rd Royal Experience 2024
170 Friendly Fire Win 13-6 0.66 17 6.95% Counts (Why) Aug 3rd Royal Experience 2024
102 Sprawl Win 13-10 7.07 16 6.95% Counts Aug 3rd Royal Experience 2024
210 Loaded Panda** Win 13-2 0 21 0% Ignored (Why) Aug 3rd Royal Experience 2024
48 Kansas City Smokestack Loss 11-13 -5.1 18 6.95% Counts Aug 4th Royal Experience 2024
95 Red Lotus Win 13-7 27.96 17 6.95% Counts (Why) Aug 4th Royal Experience 2024
114 NOx Win 13-8 14.67 16 6.95% Counts Aug 4th Royal Experience 2024
**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.