College Men's USAU Rankings (OV)

2022-23 Season

Data updated through April 3 at 2:00pm EDT

FAQ
Division I // Division III
Rank    Change Team                                                 Record Rating Change Region Conference Div   SoS PDC %
8 1 Pittsburgh OV 1 15-7 2155.17 17 Ohio Valley West Penn DI D-I 1958.78 196.39 0.1
30 2 Ohio State 9-11 1835.96 6 Ohio Valley Ohio DI D-I 1904.21 -68.24 -0.04
36 Penn State 16-9 1777.63 9 Ohio Valley West Penn DI D-I 1643.63 134 0.08
50 3 Case Western Reserve 14-12 1640.03 15 Ohio Valley Ohio DI D-I 1665.47 -25.43 -0.02
59 11 Cincinnati 14-7 1578.68 70 Ohio Valley Ohio DI D-I 1493.75 84.94 0.06
70 13 Lehigh 16-8 1526.81 77 Ohio Valley East Penn DI D-I 1401.41 125.41 0.09
77 11 Temple 16-13 1480.28 62 Ohio Valley East Penn DI D-I 1354.13 126.15 0.09
99 3 Oberlin 9-2 1397.67 30 Ohio Valley Ohio DIII D-III 1193.8 203.87 0.17
114 8 Kenyon 9-2 1312.19 39 Ohio Valley Ohio DIII D-III 1149.18 163.02 0.14
123 3 Miami (Ohio) 9-3 1271.83 21 Ohio Valley Ohio DI D-I 992.33 279.51 0.28
126 17 Franciscan 12-6 1267.64 92 Ohio Valley Ohio DIII D-III 1112.55 155.1 0.14
130 7 Messiah 7-6 1252.36 56 Ohio Valley West Penn DIII D-III 1108.67 143.7 0.13
134 9 Carnegie Mellon 4-12 1236.36 18 Ohio Valley West Penn DI D-I 1447.52 -211.15 -0.15
139 5 Dayton 7-1 1197.59 1 Ohio Valley Ohio DI D-I 1008.61 188.99 0.19
140 Cedarville 7-3 1188.18 8 Ohio Valley Ohio DIII D-III 1010.09 178.11 0.18
165 9 Penn State-B 12-10 1098.45 58 Ohio Valley Ohio Valley Dev Dev 1038.54 59.91 0.06
173 12 Pittsburgh-B 8-4 1061.29 56 Ohio Valley Ohio Valley Dev Dev 1036.32 24.98 0.02
181 2 West Virginia 10-5 1014.47 11 Ohio Valley West Penn DI D-I 877.34 137.13 0.16
185 4 West Chester 6-9 1004.19 14 Ohio Valley East Penn DI D-I 1127.46 -123.26 -0.11
192 2 Wright State 8-5 975.91 9 Ohio Valley Ohio DI D-I 988.38 -12.46 -0.01
203 1 Wooster 1-6 936.45 40 Ohio Valley Ohio DIII D-III 1187.57 -251.11 -0.21
220 1 Dickinson 9-5 857.52 26 Ohio Valley West Penn DIII D-III 745.85 111.68 0.15
224 4 Haverford 8-6 815.54 21 Ohio Valley East Penn DIII D-III 806.54 9.01 0.01
227 4 Temple-B 11-4 798.16 22 Ohio Valley Ohio Valley Dev Dev 636.69 161.47 0.25
234 17 Xavier 7-12 773.54 70 Ohio Valley Ohio DIII D-III 878.38 -104.84 -0.12
244 5 Pennsylvania 5-7 751.24 8 Ohio Valley East Penn DI D-I 909.79 -158.55 -0.17
248 13 Drexel 5-20 744.62 21 Ohio Valley East Penn DI D-I 1073.49 -328.86 -0.31
250 8 Shippensburg 4-6 732.92 19 Ohio Valley West Penn DIII D-III 914.14 -181.21 -0.2
255 29 Toledo 8-5 715.41 90 Ohio Valley Ohio DI D-I 640.52 74.9 0.12
261 Ohio State 4-3 688.72 125 Ohio Valley Ohio DI D-I 750.6 -61.87 -0.08
263 2 Swarthmore 2-7 681.59 33 Ohio Valley East Penn DIII D-III 966.62 -285.03 -0.29
272 11 Ohio 5-7 619.6 38 Ohio Valley Ohio DI D-I 736.72 -117.11 -0.16
285 5 Villanova 3-8 550.02 16 Ohio Valley East Penn DI D-I 811.16 -261.13 -0.32
295 1 Muhlenberg 3-3 502.74 48 Ohio Valley East Penn DIII D-III 481.71 21.03 0.04
307 3 West Chester-B 3-7 404.61 54 Ohio Valley East Penn DI D-III 582.1 -177.49 -0.3
319 24 Akron 3-3 314.65 140 Ohio Valley Ohio DI D-I 104.28 210.38 2.02
327 23 Kent State 2-4 280.6 119 Ohio Valley Ohio DI D-I 420.72 -140.11 -0.33
330 18 Edinboro 3-7 269.09 69 Ohio Valley West Penn DI D-I 485.51 -216.42 -0.45
332 9 Messiah 2-4 245.51 18 Ohio Valley West Penn DIII D-III 269.42 -23.91 -0.09
340 6 Lehigh-B 2-11 171.51 55 Ohio Valley Ohio Valley Dev Dev 451.33 -279.81 -0.62
355 25 Case Western Reserve-B 2-9 -48.44 209 Ohio Valley Ohio Valley Dev Dev 104.08 -152.52 -1.47
359 14 Pennsylvania-B 2-8 -133.76 17 Ohio Valley Ohio Valley Dev Dev 121.41 -255.16 -2.1
- Dayton-B 0-3 33 Ohio Valley ? NaN NaN NaN

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.