College Men's USAU Rankings (SC)

2024-25 Season

Data updated through March 31 at 3:45pm EDT

FAQ
Division I // Division III
Rank    Change Team                                                 Record Rating Change Region Conference Div   SoS PDC %
2 5 Colorado SC 1 18-4 2232.88 146 South Central Rocky Mountain DI D-I 1993.61 239.27 0.12
13 1 Texas SC 2 15-7 1970.85 15 South Central South Texas DI D-I 1767.91 202.95 0.11
15 2 Washington University SC 3 14-6 1951.63 70 South Central Ozarks DI D-I 1678.82 272.81 0.16
50 8 Colorado State 5-13 1561.63 35 South Central Rocky Mountain DI D-I 1766.67 -205.04 -0.12
74 8 Oklahoma Christian 11-7 1378.09 26 South Central Ozarks DIII D-III 1392.22 -14.13 -0.01
76 2 Colorado College 13-6 1369.71 20 South Central Rocky Mountain DIII D-III 1316.88 52.83 0.04
90 6 Missouri S&T 14-6 1295.31 72 South Central Ozarks DIII D-III 1171.2 124.11 0.11
93 1 Colorado-B 14-3 1280.27 41 South Central Rocky Mountain DI Dev 1000.13 280.13 0.28
100 32 Missouri 12-9 1265.35 133 South Central Ozarks DI D-I 1233.57 31.78 0.03
103 20 Texas A&M 11-15 1240.66 133 South Central South Texas DI D-I 1293.39 -52.72 -0.04
117 20 Colorado Mines 12-6 1189.25 28 South Central Rocky Mountain DIII D-III 1115.27 73.98 0.07
124 2 Denver 12-6 1146.36 36 South Central Rocky Mountain DI D-I 1043.45 102.91 0.1
136 8 North Texas 13-6 1110.47 38 South Central North Texas DI D-I 944.21 166.26 0.18
148 6 Wichita State 3-1 1054.8 85 South Central Ozarks DI D-I 857.89 196.91 0.23
168 21 Truman State 14-4 964.62 40 South Central Ozarks DIII D-III 797.21 167.41 0.21
169 34 Kansas 8-5 960.46 209 South Central Ozarks DI D-I 775.37 185.09 0.24
188 13 Oklahoma State 13-8 863.82 99 South Central Ozarks DI D-I 779.22 84.6 0.11
194 9 Saint Louis 5-14 852 10 South Central Ozarks DI D-I 1049.21 -197.21 -0.19
209 5 Arkansas 5-6 762.15 93 South Central Ozarks DI D-I 907.76 -145.61 -0.16
211 8 Baylor 12-5 757.43 122 South Central North Texas DI D-I 551.44 205.99 0.37
213 2 Air Force 3-9 746.86 61 South Central Rocky Mountain DIII D-III 991.11 -244.25 -0.25
225 9 John Brown 6-4 699.24 42 South Central Ozarks DIII D-III 693.43 5.81 0.01
227 41 Tarleton State 8-5 695.3 241 South Central North Texas DI D-I 704.45 -9.16 -0.01
239 4 Texas-Dallas 4-8 646.77 60 South Central North Texas DI D-I 753.14 -106.37 -0.14
245 2 Texas-B 7-4 631.44 116 South Central South Texas DI Dev 459.34 172.1 0.37
258 4 Trinity 7-11 579.39 83 South Central Texas DIII D-III 657.05 -77.67 -0.12
261 20 Colorado State-B 5-9 564.61 16 South Central Rocky Mountain DI Dev 739.25 -174.64 -0.24
267 1 Texas Tech 5-7 542.88 86 South Central North Texas DI D-I 655.5 -112.61 -0.17
268 8 Harding 8-18 535.96 68 South Central Ozarks DIII D-III 725.64 -189.68 -0.26
270 Texas State 6-10 524.53 89 South Central South Texas DI D-I 624.64 -100.11 -0.16
287 2 Oklahoma 7-10 423.99 63 South Central Ozarks DI D-I 512.14 -88.15 -0.17
289 Texas-San Antonio 3-7 415.06 77 South Central South Texas DI D-I 580.25 -165.19 -0.28
309 14 Washington University-B 4-14 317.98 0 South Central Ozarks DI Dev 558.81 -240.83 -0.43
319 14 Texas A&M-B 5-8 274.06 13 South Central South Texas DI Dev 402.34 -128.29 -0.32
323 37 Kansas State 2-9 269.54 87 South Central Ozarks DI D-I 630.2 -360.66 -0.57
325 35 Sam Houston 5-5 255.18 75 South Central South Texas DI D-I 318.45 -63.27 -0.2
338 20 Colorado Mesa 2-5 183.72 13 South Central Rocky Mountain DI D-I 390.18 -206.46 -0.53
348 8 Rice 3-8 114.91 146 South Central Texas DIII D-III 316.69 -201.78 -0.64
359 22 Denver-B 1-10 12.93 10 South Central Rocky Mountain DI Dev 359.22 -346.29 -0.96
363 27 Dallas 3-11 -21.75 37 South Central Texas DIII D-III 121.59 -143.34 -1.18
368 20 Colorado Mines-B 0-6 -70.97 15 South Central Rocky Mountain DIII D-III 256 -326.97 -1.28
380 21 Stephen F Austin 0-13 -228.23 44 South Central North Texas DI D-I 203.58 -431.81 -2.12

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.