Club Men USAU Rankings

2017 Season

Updated September 26 at 9:00AM PDT (Post-Regionals)

FAQ
Rank Change Team Record Rating Change Region SoS Contrib Score Contrib Score % of Sos
7 2 HIGH FIVE 18-7 1894.16 122 Great Lakes 1664.31 229.93 0.14
8 3 Chicago Machine 14-9 1875.58 14 Great Lakes 1746.09 129.56 0.07
28 4 Brickyard 28-6 1488.54 31 Great Lakes 1261.14 227.48 0.18
35 3 CLE Smokestack 21-12 1430 14 Great Lakes 1242.21 187.87 0.15
40 Black Market 30-11 1364.33 55 Great Lakes 1188.4 176.01 0.15
54 Beachfront Property 21-21 1210.27 35 Great Lakes 1206.62 3.71 0
60 2 Kentucky Flying Circus 27-14 1148.64 58 Great Lakes 1010.63 138.08 0.14
63 4 Haymaker 20-15 1126.31 78 Great Lakes 1081.79 44.6 0.04
67 4 Four 16-12 1089.9 84 Great Lakes 999.02 90.99 0.09
74 18 Schweingeist 18-14 1031.15 189 Great Lakes 988.43 42.79 0.04
76 Enigma 18-21 1021.24 53 Great Lakes 1075.75 -54.41 -0.05
81 6 South Shore Line 15-12 999.36 20 Great Lakes 947.47 51.96 0.05
86 14 Mango Tree 13-13 963.63 144 Great Lakes 979.54 -15.81 -0.02
90 4 The Roofing Co. 16-10 946.39 78 Great Lakes 879.72 66.74 0.08
93 1 Black Lung 9-17 937.37 28 Great Lakes 1019.47 -82 -0.08
110 19 Chimney 15-19 841.94 141 Great Lakes 938.46 -96.45 -0.1
117 4 Satellite 10-8 751.85 65 Great Lakes 690.02 61.91 0.09
136 4 Low Five 8-18 586.55 88 Great Lakes 850.94 -264.29 -0.31
138 3 Midnight Meat Train 7-14 561.6 60 Great Lakes 804.05 -242.35 -0.3
146 4 AK Pipeline 6-20 493.29 36 Great Lakes 683.35 -190.5 -0.28
152 5 Dirty D 5-14 397.69 92 Great Lakes 630.16 -232.36 -0.37
159 5 Black Market II 7-18 308.05 61 Great Lakes 491.47 -183.33 -0.37

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.