College Women's USAU Rankings (OV)
2022-23 Season
Data updated through March 27 at 5:00pm EDT (probabilistic bids also now updated for 22-23 season)
| Rank | Change | Team | Record | Rating | Change | Region | Conference | Div | SoS | PDC | % |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 13 | 1 | Pittsburgh OV 1 | 10-4 | 1812.03 | 3 | Ohio Valley | Pennsylvania DI | D-I | 1604.49 | 207.54 | 0.13 |
| 32 | 3 | Ohio State | 12-7 | 1516.6 | 5 | Ohio Valley | Ohio DI | D-I | 1456.11 | 60.49 | 0.04 |
| 44 | 2 | Pennsylvania | 6-8 | 1368.71 | 1 | Ohio Valley | Pennsylvania DI | D-I | 1473.97 | -105.26 | -0.07 |
| 53 | 21 | Haverford/Bryn Mawr | 10-2 | 1271.17 | 211 | Ohio Valley | Pennsylvania DIII | D-III | 905.17 | 366 | 0.4 |
| 57 | 3 | Penn State | 5-8 | 1226.18 | 23 | Ohio Valley | Pennsylvania DI | D-I | 1322.01 | -95.82 | -0.07 |
| 59 | 6 | Ohio | 12-7 | 1178.04 | 151 | Ohio Valley | Ohio DI | D-I | 1184.52 | -6.49 | -0.01 |
| 65 | 7 | Carnegie Mellon | 2-3 | 1123.91 | 18 | Ohio Valley | Pennsylvania DI | D-I | 1148.91 | -25 | -0.02 |
| 66 | 3 | Case Western Reserve | 4-9 | 1123.47 | 2 | Ohio Valley | Ohio DI | D-I | 1290.38 | -166.91 | -0.13 |
| 80 | 2 | Temple -B | 3-3 | 1005.46 | Ohio Valley | Ohio Valley Dev | Dev | 1031.85 | -26.39 | -0.03 | |
| 83 | 9 | Temple | 3-8 | 978.57 | 35 | Ohio Valley | Pennsylvania DI | D-I | 1180.98 | -202.41 | -0.17 |
| 92 | 47 | Lehigh | 7-5 | 943.24 | 431 | Ohio Valley | Pennsylvania DIII | D-III | 983.66 | -40.42 | -0.04 |
| 113 | 13 | Cedarville | 5-5 | 799.29 | 108 | Ohio Valley | Ohio DIII | D-III | 810.25 | -10.96 | -0.01 |
| 138 | 16 | Cincinnati | 4-2 | 595.28 | 151 | Ohio Valley | Ohio DI | D-I | 538.43 | 56.85 | 0.11 |
| 141 | 50 | West Chester | 4-2 | 575.75 | 372 | Ohio Valley | Pennsylvania DI | D-I | 287.58 | 288.17 | 1 |
| 156 | 12 | Franciscan | 2-4 | 446.17 | 42 | Ohio Valley | Ohio DIII | D-III | 533.67 | -87.5 | -0.16 |
| 160 | Swarthmore | 1-4 | 372.09 | 353 | Ohio Valley | Pennsylvania DIII | D-III | 556.34 | -184.25 | -0.33 | |
| 172 | 22 | Dayton | 3-4 | 261.3 | 151 | Ohio Valley | Ohio DI | D-I | -40.26 | 301.56 | -7.49 |
| 180 | 39 | Dickinson | 3-6 | 180.96 | 347 | Ohio Valley | Pennsylvania DIII | D-III | 431.9 | -250.94 | -0.58 |
| 189 | 25 | Oberlin | 4-3 | 105.64 | 151 | Ohio Valley | Ohio DIII | D-III | 138.55 | -32.91 | -0.24 |
| 202 | 25 | Miami (Ohio) | 1-4 | -91.06 | 151 | Ohio Valley | Ohio DI | D-I | -63.25 | -27.81 | 0.44 |
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:
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.
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.