College Men's USAU Rankings (SC)

2017-18 Season

Updated July 13 at 2:00pm PDT

FAQ
Division I // Division III
Rank Change Team Record Rating Change Region Div   SoS Contrib Score Contrib Score % of Sos
17 3 Colorado State SC 1 14-7 1869.76 34 South Central 1682.24 187.51 0.11
19 1 Colorado 12-8 1850.95 18 South Central 1811.27 39.69 0.02
21 1 Texas A&M 8-7 1822.06 17 South Central 1707.9 114.16 0.07
26 2 Texas-Dallas 18-4 1729.02 28 South Central 1478.48 250.54 0.17
27 1 Texas State 19-4 1721.16 27 South Central 1471.03 250.12 0.17
29 7 Texas 9-11 1711.1 68 South Central 1686.55 24.55 0.01
35 2 Air Force 25-1 1639.57 6 South Central 1244.85 394.73 0.32
58 15 Kansas 9-9 1500.86 96 South Central 1590.34 -89.48 -0.06
68 4 Baylor 11-6 1454.82 19 South Central 1381.05 73.76 0.05
70 7 Arkansas 8-8 1439.53 39 South Central 1428.85 10.68 0.01
74 11 Washington University 9-7 1418.49 45 South Central 1488.41 -69.92 -0.05
82 9 Oklahoma State 14-11 1407.19 28 South Central 1436.42 -29.22 -0.02
85 8 Colorado College 10-4 1399.36 18 South Central 1289.37 110 0.09
89 38 John Brown 8-4 1382.31 167 South Central 1310.45 71.85 0.05
96 8 Missouri State 11-2 1350.5 63 South Central 1027.71 322.78 0.31
99 30 Missouri S&T 13-4 1337.88 138 South Central 1134.28 203.6 0.18
112 6 Texas Tech 12-11 1285.08 1 South Central 1347.89 -62.81 -0.05
128 3 Colorado School of Mines 12-9 1203.86 20 South Central 1089.9 113.96 0.1
130 North Texas 17-12 1192.13 8 South Central 1208.04 -15.91 -0.01
152 18 Denver 8-4 1116.31 107 South Central 1075.45 40.86 0.04
156 18 Colorado-Denver 13-6 1106.91 38 South Central 984.22 122.69 0.12
159 18 Colorado-B 14-9 1094.56 35 South Central 1058.16 36.4 0.03
160 15 Oklahoma 7-15 1092.6 23 South Central 1276.59 -183.99 -0.14
162 2 Saint Louis 11-8 1079.75 39 South Central 1139.76 -60.01 -0.05
170 6 Kansas State 13-9 1059.64 41 South Central 1052.15 7.49 0.01
171 17 Truman State 9-3 1038.6 94 South Central 953.21 85.39 0.09
176 14 Colorado State-B 15-7 1026.62 5 South Central 884.49 142.13 0.16
184 10 Texas-San Antonio 3-8 984.1 5 South Central 1337.93 -353.83 -0.26
187 3 Texas A&M-B 8-5 981.47 25 South Central 888.9 92.57 0.1
199 9 Stephen F Austin 19-10 934.47 6 South Central 859.54 74.94 0.09
200 6 Rice 7-15 932.65 0 South Central 1054.22 -121.56 -0.12
217 1 Texas Christian 12-9 888.31 57 South Central 779.87 108.44 0.14
233 6 Missouri 3-7 812.4 4 South Central 1050.97 -238.57 -0.23
241 23 Harding 5-7 787.38 96 South Central 775.41 11.96 0.02
258 25 Texas A&M-C 8-4 755.2 36 South Central 616.89 138.31 0.22
274 11 Arkansas State 4-2 701.31 9 South Central 667.82 33.48 0.05
284 8 Tulsa 5-9 646.62 31 South Central 702.13 -55.51 -0.08
287 10 Central Arkansas 5-11 641.28 28 South Central 759.7 -118.42 -0.16
297 16 Trinity University 4-8 593.55 25 South Central 627.3 -33.75 -0.05
305 15 Oklahoma-B 5-12 561.22 29 South Central 645.28 -84.06 -0.13
336 20 Texas-Dallas-B 8-18 424.3 15 South Central 591.3 -167 -0.28
341 29 Air Force Academy-B 1-6 406.53 28 South Central 740.8 -334.27 -0.45
342 12 Washington University-B 5-11 396.36 31 South Central 492.74 -96.37 -0.2
343 28 Texas-B 1-9 394.96 16 South Central 679.58 -284.62 -0.42
344 16 Dallas 4-9 393.39 15 South Central 539.09 -145.7 -0.27
351 18 Texas-Arlington 3-12 363.48 10 South Central 681.7 -318.22 -0.47
355 28 Colorado Mesa University 2-12 354.28 29 South Central 671.21 -316.93 -0.47
379 24 Southern Methodist 4-9 237.65 14 South Central 350.55 -112.9 -0.32
387 24 North Texas-B 4-15 183.67 17 South Central 354.84 -171.18 -0.48
391 23 Kansas B-B 0-6 147.05 28 South Central 646.88 -499.83 -0.77
392 21 Drury 1-4 144.86 63 South Central 252.04 -107.18 -0.43
411 24 Texas State -B 0-11 -75.58 12 South Central 339.13 -414.71 -1.22
414 21 Hendrix 0-5 -132.41 25 South Central 448.77 -581.17 -1.3

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.