Club Mixed's USAU Rankings (GL)

2022-23 Season

Data updated through March 27 at 5:00pm EDT (probabilistic bids also now updated for 22-23 season)

FAQ
Rank    Change Team                                                 Record Rating Change Region Conference SoS PDC %
4 Hybrid GL 1 20-3 1892.49 15 Great Lakes East Plains 1567.39 325.1 0.21
24 Cleveland Crocs 24-4 1513.47 31 Great Lakes East Plains 1226.69 286.78 0.23
42 8 Chicago Parlay 26-5 1346.39 55 Great Lakes Central Plains 1147.91 198.49 0.17
44 5 Steamboat 18-9 1339.99 27 Great Lakes East Plains 1138.64 201.35 0.18
49 3 RAMP 18-6 1307.39 25 Great Lakes Central Plains 1077.2 230.19 0.21
76 3 Stripes 11-4 1084.13 6 Great Lakes Central Plains 818.69 265.45 0.32
83 1 Trex Mix 9-8 1053.89 16 Great Lakes East Plains 1030.12 23.77 0.02
88 Columbus Chaos 12-17 1039.41 6 Great Lakes East Plains 1123.1 -83.69 -0.07
105 4 Bandwagon 11-14 940.25 19 Great Lakes Central Plains 996 -55.75 -0.06
122 1 POW! 13-13 874.38 6 Great Lakes East Plains 942.78 -68.4 -0.07
128 3 Jabba 14-17 833.62 1 Great Lakes Central Plains 885.55 -51.92 -0.06
141 17 2Fly2Furious 11-14 746.36 94 Great Lakes East Plains 764.83 -18.47 -0.02
151 3 Pixel 9-15 703.93 24 Great Lakes East Plains 814.62 -110.69 -0.14
161 2 Prion 12-8 648.81 11 Great Lakes Central Plains 590.68 58.13 0.1
164 8 Derby City Thunder 6-18 628.52 51 Great Lakes East Plains 850.82 -222.3 -0.26
176 3 ELevate 7-12 554.83 13 Great Lakes Central Plains 666.7 -111.88 -0.17
181 2 Stackcats 15-14 513.23 11 Great Lakes Central Plains 523.23 -10 -0.02
189 2 EMU 5-5 439.2 16 Great Lakes Central Plains 507.84 -68.64 -0.14
194 3 Toast! 6-13 366.86 16 Great Lakes East Plains 463.67 -96.8 -0.21
- Thunderpants the Magic Dragon 2-2 361.25 2 Great Lakes East Plains 350.34 10.92 0.03

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.