Club Mixed's USAU Rankings (GL)

2022-23 Season

Data updated through September 25 at 10:00am EDT

FAQ
Rank    Change Team                                                 Record Rating Change Region Conference SoS PDC %
5 2 Cleveland Crocs GL 1 21-5 1936.51 42 Great Lakes East Plains 1666.58 269.93 0.16
16 1 Hybrid GL 2 13-8 1823.85 22 Great Lakes East Plains 1809.1 14.75 0.01
27 3 Chicago Parlay 19-5 1637.51 26 Great Lakes Central Plains 1331.02 306.5 0.23
29 10 RAMP 14-7 1622.75 116 Great Lakes Central Plains 1469.44 153.31 0.1
57 7 Steamboat 22-8 1339.4 51 Great Lakes East Plains 1177.01 162.43 0.14
88 29 Spectre 14-12 1108.62 98 Great Lakes Central Plains 1044.63 64 0.06
92 3 Three Rivers Ultimate Club 16-10 1085.54 35 Great Lakes Central Plains 979.75 105.74 0.11
107 7 Columbus Chaos 15-6 1027.53 32 Great Lakes East Plains 840.69 186.88 0.22
115 11 Queen City Gambit 16-9 997.8 52 Great Lakes East Plains 864.05 133.73 0.15
116 5 Jabba 18-8 992.19 7 Great Lakes Central Plains 795.05 197.15 0.25
131 25 Stackcats 13-17 890.78 77 Great Lakes Central Plains 869.51 21.24 0.02
136 7 Skyhawks 9-16 856.02 5 Great Lakes Central Plains 971.22 -115.31 -0.12
150 14 Toast! 11-14 803.62 76 Great Lakes East Plains 898.82 -95.22 -0.11
165 4 Prion 12-13 761.72 22 Great Lakes Central Plains 758.97 2.76 0
167 21 Indiana Pterodactyl Attack 11-14 747.33 91 Great Lakes Central Plains 872.69 -125.33 -0.14
186 5 2Fly2Furious 7-13 581.62 12 Great Lakes East Plains 672.47 -90.75 -0.13
194 1 Thunderpants the Magic Dragon 6-7 556.64 25 Great Lakes East Plains 502.7 53.78 0.11
200 1 Pixel 7-13 524.78 14 Great Lakes East Plains 623.41 -98.8 -0.16
210 2 ELevate 4-15 452.38 10 Great Lakes Central Plains 716.64 -264.21 -0.37
231 POW! 4-15 259.66 21 Great Lakes East Plains 547.26 -287.74 -0.53

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.