College Men's USAU Rankings (SC)

2024-25 Season

Data updated through May 4 at 8:45pm EDT (some scores likely missing)

FAQ
Division I // Division III
Rank    Change Team                                                 Record Rating Change Region Conference Div   SoS PDC %
4 1 Colorado SC 1 25-4 2337.87 21 South Central Rocky Mountain DI D-I 2035.02 302.87 0.15
11 1 Washington University SC 2 22-6 2082.57 22 South Central Ozarks DI D-I 1756.88 325.7 0.19
14 Texas SC 3 24-8 2042.23 23 South Central South Texas DI D-I 1807.42 234.83 0.13
42 Colorado State 11-16 1766.65 18 South Central Rocky Mountain DI D-I 1864.91 -98.25 -0.05
57 Oklahoma Christian 19-7 1656.39 17 South Central Ozarks DIII D-III 1498.9 157.49 0.11
86 Colorado-B 19-6 1493.4 16 South Central Rocky Mountain DI Dev 1332.16 161.26 0.12
87 Missouri S&T 23-8 1491.08 16 South Central Ozarks DIII D-III 1315.16 175.93 0.13
89 Colorado College 18-8 1485.28 12 South Central Rocky Mountain DIII D-III 1402.8 82.49 0.06
92 2 Texas A&M 19-20 1477.88 19 South Central South Texas DI D-I 1547.04 -69.15 -0.04
97 1 Missouri 20-11 1459.97 18 South Central Ozarks DI D-I 1299.46 160.52 0.12
114 2 Denver 17-11 1375.42 9 South Central Rocky Mountain DI D-I 1322.1 53.33 0.04
117 1 Colorado Mines 15-9 1363.26 9 South Central Rocky Mountain DIII D-III 1219.76 143.5 0.12
133 3 North Texas 16-7 1313 17 South Central North Texas DI D-I 1156.3 156.71 0.14
139 2 Wichita State 3-1 1297.37 17 South Central Ozarks DI D-I 1100.47 196.91 0.18
160 1 Kansas 14-10 1217.19 15 South Central Ozarks DI D-I 1072.89 144.31 0.13
164 1 Truman State 19-9 1207.14 15 South Central Ozarks DIII D-III 1117.21 89.94 0.08
183 Tarleton State 12-5 1132.45 16 South Central North Texas DI D-I 1018.91 113.55 0.11
189 Baylor 14-10 1091.24 16 South Central North Texas DI D-I 1011.18 80.07 0.08
191 Oklahoma State 16-12 1083.79 17 South Central Ozarks DI D-I 1064.03 19.77 0.02
195 1 John Brown 9-11 1069.63 16 South Central Ozarks DIII D-III 1158.83 -89.18 -0.08
204 3 Saint Louis 7-19 1042.38 18 South Central Ozarks DI D-I 1261.65 -219.26 -0.17
219 1 Texas-B 7-4 985.24 15 South Central South Texas DI Dev 892.6 92.65 0.1
224 1 Arkansas 8-12 959.82 16 South Central Ozarks DI D-I 1083.07 -123.25 -0.11
230 1 Air Force 4-14 927.9 14 South Central Rocky Mountain DIII D-III 1197.48 -269.56 -0.23
245 Texas-Dallas 6-12 886.38 15 South Central North Texas DI D-I 1056.2 -169.81 -0.16
259 1 Colorado State-B 7-15 840.19 4 South Central Rocky Mountain DI Dev 1015.27 -175.06 -0.17
274 2 Oklahoma 9-14 787.3 18 South Central Ozarks DI D-I 894.03 -106.72 -0.12
278 3 Texas Tech 7-8 768.35 20 South Central North Texas DI D-I 856.86 -88.51 -0.1
283 3 Texas-San Antonio 6-11 760.62 17 South Central South Texas DI D-I 832.34 -71.71 -0.09
287 4 Texas State 8-13 745.81 17 South Central South Texas DI D-I 830.36 -84.54 -0.1
288 4 Harding 8-28 745.34 16 South Central Ozarks DIII D-III 1034.52 -289.17 -0.28
296 3 Trinity 7-13 711.59 17 South Central Texas DIII D-III 765.71 -54.11 -0.07
308 3 Sam Houston 7-9 651.31 16 South Central South Texas DI D-I 666.21 -14.89 -0.02
313 4 Washington University-B 5-17 626.37 15 South Central Ozarks DI Dev 871.65 -245.26 -0.28
324 2 Kansas State 2-15 587.15 14 South Central Ozarks DI D-I 965.4 -378.24 -0.39
327 4 Rice 5-8 582.11 17 South Central Texas DIII D-III 643.15 -61.02 -0.09
336 4 Texas A&M-B 5-12 556.45 17 South Central South Texas DI Dev 725.46 -169 -0.23
357 3 Colorado Mesa 3-8 403.64 12 South Central Rocky Mountain DI D-I 615.83 -212.18 -0.34
368 1 Dallas 4-12 329.59 17 South Central Texas DIII D-III 495.96 -166.35 -0.34
378 1 Denver-B 1-15 264.1 1 South Central Rocky Mountain DI Dev 590.93 -326.82 -0.55
391 Colorado Mines-B 0-6 153.99 2 South Central Rocky Mountain DIII D-III 480.98 -326.97 -0.68
395 1 Stephen F Austin 1-15 120.84 17 South Central North Texas DI D-I 462.72 -341.86 -0.74

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.