College Men's USAU Rankings (SC)

2023-24 Season

Data updated through August 25 at 9:00pm EDT

FAQ
Division I // Division III
Rank    Change Team                                                 Record Rating Change Region Conference Div   SoS PDC %
1 2 Colorado SC 1 25-5 2499.73 257 South Central Rocky Mountain DI D-I 2159.95 339.79 0.16
10 4 Texas SC 2 22-7 2246.19 310 South Central South Texas DI D-I 2033.23 212.96 0.1
20 1 Washington University 27-6 2086.16 221 South Central Ozarks DI D-I 1831.21 254.95 0.14
38 1 Texas A&M 19-12 1885.46 295 South Central South Texas DI D-I 1835.18 50.28 0.03
41 6 Oklahoma Christian 21-6 1852.87 333 South Central Ozarks DIII D-III 1529.19 323.69 0.21
51 3 Missouri 18-10 1764.88 250 South Central Ozarks DI D-I 1680.27 84.61 0.05
53 Colorado State 16-15 1756.05 285 South Central Rocky Mountain DI D-I 1713.44 42.61 0.02
95 37 Arkansas 12-13 1534.59 423 South Central Ozarks DI D-I 1624.81 -90.22 -0.06
100 7 Colorado-B 17-11 1513.43 247 South Central Rocky Mountain DI Dev 1391.23 122.18 0.09
101 32 Colorado Mines 21-6 1512.08 143 South Central Rocky Mountain DIII D-III 1336.21 175.87 0.13
109 20 Tarleton State 15-4 1467.61 181 South Central North Texas DI D-I 1152.67 314.93 0.27
119 9 Colorado College 14-14 1408.16 272 South Central South Central DIII D-III 1400.9 7.26 0.01
128 8 Houston 9-5 1388.32 281 South Central South Texas DI D-I 1332.86 55.45 0.04
137 2 Kansas 14-14 1365.35 258 South Central Ozarks DI D-I 1407.45 -42.09 -0.03
143 18 Truman State 14-15 1337.06 344 South Central Ozarks DIII D-III 1348.19 -11.13 -0.01
153 26 Missouri S&T 16-15 1305.15 401 South Central Ozarks DIII D-III 1322.04 -16.89 -0.01
156 47 Denver 9-10 1296.21 99 South Central Rocky Mountain DI D-I 1306.71 -10.44 -0.01
161 15 Saint Louis 16-12 1283.47 357 South Central Ozarks DI D-I 1188.87 94.6 0.08
165 23 John Brown 12-11 1268.53 406 South Central Ozarks DIII D-III 1282.74 -14.21 -0.01
167 5 Texas-San Antonio 9-9 1261.11 321 South Central South Texas DI D-I 1247.23 13.89 0.01
190 28 Texas-Dallas 12-14 1158.34 400 South Central North Texas DI D-I 1157.83 0.51 0
197 33 Texas State 11-11 1129.97 415 South Central South Texas DI D-I 1089.22 40.75 0.04
207 8 Texas-B 7-8 1088.69 327 South Central South Texas DI Dev 1033.77 54.92 0.05
228 26 Oklahoma State 11-17 1022.23 423 South Central Ozarks DI D-I 995.37 26.87 0.03
229 8 Baylor 10-10 1019.47 280 South Central North Texas DI D-I 1067.5 -48.03 -0.04
231 39 Harding 8-18 1015.31 164 South Central Ozarks DIII D-III 1324.48 -309.16 -0.23
233 24 Oklahoma 8-13 1005.7 222 South Central Ozarks DI D-I 1158.35 -152.65 -0.13
253 16 Rice 5-5 929.6 253 South Central Texas DIII D-III 894.54 35.06 0.04
258 15 North Texas 8-12 917.11 263 South Central North Texas DI D-I 1035.94 -118.83 -0.11
266 5 Texas Tech 7-13 888.68 334 South Central North Texas DI D-I 980.62 -91.94 -0.09
274 17 Air Force 1-8 850.51 279 South Central Rocky Mountain DIII D-III 1248.21 -397.7 -0.32
281 7 Trinity 6-14 827.06 323 South Central Texas DIII D-III 1031.22 -204.15 -0.2
286 66 Sam Houston 3-9 789.48 46 South Central South Texas DI D-I 1155.85 -366.38 -0.32
290 27 Colorado-C 5-5 768.41 225 South Central ? 765.14 2.89 0
295 5 Texas A&M-B 3-13 736.36 385 South Central South Texas DI Dev 1033.21 -296.84 -0.29
313 1 Kansas-B 3-9 667.26 384 South Central Ozarks DI D-I 938.69 -271.42 -0.29
320 3 Washington University-B 6-19 651.34 381 South Central Ozarks DI Dev 827.62 -176.28 -0.21
356 21 Wichita State 3-16 489.08 368 South Central Ozarks DI D-I 756.83 -267.74 -0.35
381 54 Denver-B 5-11 287.78 98 South Central Rocky Mountain DI Dev 213.33 73.37 0.34
405 62 Colorado State-B 0-10 -44.28 131 South Central Rocky Mountain DI Dev 373.52 -417.05 -1.12

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.