Club Men's USAU Rankings (NC)

2017-18 Season

Data Updated Through October 24th at 10:30pm PST

FAQ
Note
Rank Change Team Record Rating Change Region Conference SoS Contrib Score Contrib Score % of Sos
8 4 Sub Zero NC 1 18-12 1829.77 37 North Central Northwest Plains 1795.96 33.81 0.02
16 8 Madison Club NC 2 15-10 1692.51 145 North Central Northwest Plains 1645.13 47.38 0.03
21 Prairie Fire 22-9 1508.18 37 North Central West Plains 1367.07 141.12 0.1
39 2 Mad Men 23-18 1278.97 37 North Central Northwest Plains 1199.97 79 0.07
47 1 MKE 24-14 1224.38 44 North Central Northwest Plains 1158.21 66.17 0.06
49 1 CaSTLe 22-11 1214.15 41 North Central West Plains 1084.41 129.74 0.12
53 Illusion 16-17 1174.08 42 North Central West Plains 1139.47 34.62 0.03
59 1 Mallard 18-9 1098.06 43 North Central Northwest Plains 1005.3 92.76 0.09
60 DeMo 22-9 1096.58 33 North Central West Plains 1020.52 76.06 0.07
70 1 Imperial 13-13 1030.56 39 North Central Northwest Plains 1020.5 10.07 0.01
72 1 Swans 12-12 1016.86 38 North Central Northwest Plains 1033.39 -16.53 -0.02
95 1 Scythe 20-26 879.07 36 North Central West Plains 906.24 -27.18 -0.03
103 2 houSE 14-14 823.54 37 North Central Northwest Plains 864.12 -40.58 -0.05
111 1 Cryptic 12-11 766.47 36 North Central West Plains 811.57 -45.11 -0.06
117 THE BODY 9-22 730.94 38 North Central Northwest Plains 881.72 -150.79 -0.17
120 KC SmokeStack 11-16 711.75 35 North Central West Plains 720.25 -8.5 -0.01
124 Wisconsin Hops 12-8 696.35 36 North Central Northwest Plains 599.61 96.74 0.16
152 1 Green Bay Quackers 6-13 332.36 35 North Central Northwest Plains 569.3 -236.93 -0.42
161 Ironside 5-21 207.16 36 North Central Northwest Plains 503.28 -296.12 -0.59
163 Hippie Mafia 3-15 148.52 36 North Central Northwest Plains 529.29 -380.77 -0.72

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.