Club Men's USAU Rankings (SC)

2022-23 Season

Data updated through April 3 at 2:00pm EDT

FAQ
Rank    Change Team                                                 Record Rating Change Region Conference SoS PDC %
7 Johnny Bravo SC 1 22-5 1930.9 1 South Central Rocky Mountain 1641.24 289.66 0.18
10 Doublewide SC 2 16-4 1845.23 2 South Central Texas 1575.78 269.45 0.17
34 H.I.P 35-6 1371.84 1 South Central Texas 1117.93 253.91 0.23
35 Fungi 22-14 1353.53 2 South Central Rocky Mountain 1204.61 148.92 0.12
43 1 Clutch 21-9 1285.18 4 South Central Texas 1193 92.18 0.08
57 Gamble 31-12 1171.62 1 South Central Texas 1013.01 158.6 0.16
58 ISO Atmo 18-17 1167.42 1 South Central Rocky Mountain 1091.99 75.43 0.07
64 2 Alamode 19-13 1114.72 1 South Central Texas 1087.54 27.18 0.02
67 1 Inception 15-19 1091.3 2 South Central Rocky Mountain 1153.14 -61.84 -0.05
69 2 Riverside 21-12 1079.56 1 South Central Texas 991.63 87.93 0.09
81 3 Flash Flood 15-16 961.69 1 South Central Texas 1025.35 -63.66 -0.06
84 1 Foxtrot 16-13 946.35 1 South Central Texas 896.08 50.27 0.06
86 1 Harvey Cats 16-17 934.05 1 South Central Texas 989.32 -55.27 -0.06
92 2 Dreadnought 13-6 924.58 1 South Central Ozarks 781.89 142.69 0.18
93 2 Cowtown Cannons 17-24 910.76 1 South Central Texas 1005.68 -94.92 -0.09
104 2 Choice City Hops 4-7 837.47 4 South Central Rocky Mountain 1014.22 -176.74 -0.17
108 1 Rawhide 12-9 818.62 0 South Central Ozarks 768.82 49.8 0.06
112 1 Dallas United Outlaws 6-13 795.79 1 South Central Texas 915.36 -119.57 -0.13
119 1 Firefly TX 11-24 738.43 1 South Central Texas 947 -208.57 -0.22
151 1 San Antonio Warhawks 10-22 358.87 1 South Central Texas 517.24 -158.36 -0.31
172 Adventure Time 1-19 -93.24 1 South Central Texas 335.33 -428.57 -1.28
174 1 Supercell 1-9 -207.99 4 South Central Ozarks 107.32 -315.31 -2.94

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.