College Men's USAU Rankings (SC)

2023-24 Season

Data updated through April 1 at 8:00pm EDT

FAQ
Division I // Division III
Rank    Change Team                                                 Record Rating Change Region Conference Div   SoS PDC %
3 1 Colorado SC 1 15-5 2243.12 35 South Central Rocky Mountain DI D-I 1970.31 272.82 0.14
14 Texas SC 2 13-6 1936.64 30 South Central South Texas DI D-I 1766.76 169.88 0.1
19 8 Washington University 16-4 1865.17 112 South Central Ozarks DI D-I 1570.73 294.45 0.19
37 3 Texas A&M 11-8 1590.94 2 South Central South Texas DI D-I 1556.94 34 0.02
47 5 Oklahoma Christian 12-6 1520.17 30 South Central Ozarks DIII D-III 1447.38 72.8 0.05
48 2 Missouri 12-6 1514.77 13 South Central Ozarks DI D-I 1404.44 110.32 0.08
53 27 Colorado State 9-11 1470.56 118 South Central Rocky Mountain DI D-I 1449.22 21.33 0.01
69 39 Colorado Mines 16-3 1369.4 356 South Central Rocky Mountain DIII D-III 1117.67 251.73 0.23
89 4 Tarleton State 9-1 1287.1 11 South Central North Texas DI D-I 946.3 340.79 0.36
93 57 Colorado-B 12-6 1266.1 387 South Central Rocky Mountain DI Dev 1140.99 125.11 0.11
109 52 Denver 6-6 1196.84 256 South Central Rocky Mountain DI D-I 1203.16 -6.32 -0.01
128 51 Colorado College 9-10 1136 232 South Central South Central DIII D-III 1190.93 -54.93 -0.05
132 7 Arkansas 5-8 1111.85 34 South Central Ozarks DI D-I 1270.96 -159.11 -0.13
135 24 Kansas 11-9 1107.24 110 South Central Ozarks DI D-I 1073.64 33.59 0.03
136 5 Houston 5-1 1107.21 22 South Central South Texas DI D-I 915.46 191.75 0.21
161 6 Truman State 8-11 992.69 49 South Central Ozarks DIII D-III 1002.4 -9.71 -0.01
172 2 Texas-San Antonio 6-6 940.29 18 South Central South Texas DI D-I 962.6 -22.31 -0.02
176 7 Saint Louis 11-9 926.24 51 South Central Ozarks DI D-I 888.43 37.81 0.04
179 6 Missouri S&T 11-10 904.1 36 South Central Ozarks DIII D-III 911.62 -7.51 -0.01
188 4 John Brown 7-6 862.39 18 South Central Ozarks DIII D-III 930.66 -68.28 -0.07
192 4 Harding 7-10 851.11 21 South Central Ozarks DIII D-III 1030.64 -179.54 -0.17
209 17 Oklahoma 6-9 784 77 South Central Ozarks DI D-I 937.25 -153.25 -0.16
215 1 Texas-B 5-5 761.63 24 South Central South Texas DI Dev 751.19 10.44 0.01
218 3 Texas-Dallas 8-10 757.85 23 South Central North Texas DI D-I 755.11 2.74 0
220 13 Sam Houston 3-4 743.05 35 South Central South Texas DI D-I 995.97 -252.92 -0.25
221 1 Baylor 10-6 739.74 17 South Central North Texas DI D-I 675.75 63.99 0.09
230 7 Texas State 7-7 714.51 3 South Central South Texas DI D-I 687.42 27.09 0.04
237 2 Rice 4-4 676.68 30 South Central Texas DIII D-III 617.38 59.3 0.1
243 2 North Texas 6-8 654.35 27 South Central North Texas DI D-I 601.34 53.01 0.09
254 4 Oklahoma State 6-13 599.53 14 South Central Ozarks DI D-I 705.33 -105.8 -0.15
257 4 Air Force 1-6 571.36 12 South Central Rocky Mountain DIII D-III 929.67 -358.31 -0.39
261 5 Texas Tech 5-10 555.11 14 South Central North Texas DI D-I 573.26 -18.15 -0.03
263 22 Colorado-C 2-2 543.59 95 South Central Rocky Mountain DI Dev 649.73 -106.14 -0.16
274 4 Trinity 4-9 503.96 10 South Central Texas DIII D-III 666.29 -162.33 -0.24
300 2 Texas A&M-B 2-9 351.81 19 South Central South Texas DI Dev 635.95 -284.15 -0.45
314 5 Kansas-B 3-9 282.94 21 South Central Ozarks DI D-I 554.36 -271.42 -0.49
317 14 Washington University-B 5-14 270.22 156 South Central Ozarks DI Dev 446.16 -175.94 -0.39
327 19 Denver-B 3-8 189.75 80 South Central Rocky Mountain DI Dev 326.07 -136.32 -0.42
332 5 Dallas 1-7 157.98 30 South Central Texas DIII D-III 538.59 -380.61 -0.71
335 7 Wichita State 2-10 121.02 6 South Central Ozarks DI D-I 354.84 -233.82 -0.66
343 23 Colorado State-B 0-5 86.45 85 South Central Rocky Mountain DI Dev 317.16 -230.71 -0.73
351 12 Kansas State 1-5 23.87 29 South Central Ozarks DI D-I 282.17 -258.3 -0.92
358 13 Texas-Arlington 0-10 -20.33 16 South Central North Texas DI D-I 542.21 -562.53 -1.04

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.