Club Men's USAU Rankings (NC)

2022-23 Season

Data updated through April 3 at 2:00pm EDT

FAQ
Rank    Change Team                                                 Record Rating Change Region Conference SoS PDC %
17 2 Mad Men NC 1 19-4 1654.25 4 North Central Northwest Plains 1380.86 273.39 0.2
22 2 Sub Zero 13-10 1547.38 8 North Central Northwest Plains 1572.61 -25.23 -0.02
36 Mallard 17-13 1348.55 14 North Central Northwest Plains 1276.46 72.09 0.06
56 4 Kansas City Smokestack 27-11 1172.58 30 North Central West Plains 1077.28 95.29 0.09
59 1 DeMo 24-8 1158.31 11 North Central West Plains 982.6 175.71 0.18
65 Scythe 24-12 1113.29 4 North Central West Plains 956.44 156.85 0.16
68 2 Knights of Ni 17-12 1087.72 1 North Central Northwest Plains 1045.97 41.75 0.04
88 Cryptic 18-13 931.54 0 North Central West Plains 886.03 45.51 0.05
94 1 Mallard II 18-13 903.9 2 North Central Northwest Plains 878.34 25.55 0.03
99 2 MKE 13-16 877.87 9 North Central Northwest Plains 880.76 -2.89 0
101 1 General Strike 4-7 870.56 1 North Central Northwest Plains 998.85 -128.29 -0.13
127 HouSE 8-11 691.38 9 North Central Northwest Plains 700.19 -8.81 -0.01
129 1 Nomads 14-17 675.16 7 North Central Northwest Plains 739.37 -64.2 -0.09
132 Timber 9-15 652.9 3 North Central Northwest Plains 734.65 -81.75 -0.11
136 1 NOx 11-19 562.78 3 North Central West Plains 729.24 -166.46 -0.23
161 1 Overdrive 4-18 262.36 19 North Central Northwest Plains 458.91 -196.55 -0.43
164 Loaded Panda 4-15 222 10 North Central West Plains 409.47 -187.46 -0.46
166 Meadowlark 2-15 131.8 6 North Central West Plains 395.53 -263.73 -0.67
168 THE BODY 4-20 97.15 12 North Central Northwest Plains 439.24 -342.09 -0.78

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.