College Women's USAU Rankings (OV)

2024-25 Season

Data updated through March 23 at 10:00pm EDT

FAQ
Division I // Division III
Rank    Change Team                                                 Record Rating Change Region Conference Div   SoS PDC %
22 Pennsylvania OV 1 4-6 2146.37 71 Ohio Valley Pennsylvania DI D-I 2142.13 4.26 0
25 Ohio State 8-4 2119.55 68 Ohio Valley Ohio DI D-I 2070.23 49.34 0.02
28 6 Kenyon 12-0 1980.15 59 Ohio Valley Ohio DIII D-III 1380.18 600 0.43
33 1 Pittsburgh 5-5 1948.12 101 Ohio Valley Pennsylvania DI D-I 1936.55 11.58 0.01
34 6 Ohio 11-2 1932.84 178 Ohio Valley Ohio DI D-I 1477.43 455.44 0.31
57 1 Haverford/Bryn Mawr 9-4 1654.4 118 Ohio Valley Pennsylvania DIII D-III 1458.52 195.88 0.13
77 Case Western Reserve 1-4 1426.58 93 Ohio Valley Ohio DI D-I 1609.73 -183.13 -0.11
80 1 Penn State 7-5 1391.49 106 Ohio Valley Pennsylvania DI D-I 1446.35 -54.86 -0.04
88 8 Cincinnati 4-2 1345.53 42 Ohio Valley Ohio DI D-I 1264.59 80.96 0.06
93 2 Cedarville 5-1 1316.64 88 Ohio Valley Ohio DIII D-III 1194.51 122.16 0.1
95 2 West Chester 1-3 1297.97 104 Ohio Valley Pennsylvania DI D-I 1341.22 -42.93 -0.03
108 15 Xavier 8-5 1219.16 5 Ohio Valley Ohio DIII D-III 1089.47 129.72 0.12
111 1 Lehigh 8-6 1191.8 122 Ohio Valley Pennsylvania DIII D-III 1124.99 66.71 0.06
123 1 Temple 1-4 1109.24 107 Ohio Valley Pennsylvania DI D-I 1476.39 -367.1 -0.25
133 3 Swarthmore 7-5 1012.91 131 Ohio Valley Pennsylvania DIII D-III 924.66 88.25 0.1
150 5 Carnegie Mellon 1-5 848.67 127 Ohio Valley Pennsylvania DI D-I 1154.93 -306.11 -0.27
156 7 Oberlin 1-8 825.93 46 Ohio Valley Ohio DIII D-III 1142.44 -316.48 -0.28
166 5 Dayton 2-5 758.01 56 Ohio Valley Ohio DI D-I 762.43 -4.4 -0.01
195 8 Dickinson 3-9 436.4 7 Ohio Valley Pennsylvania DIII D-III 610.81 -174.4 -0.29
197 2 Miami (Ohio) 2-4 427.22 89 Ohio Valley Ohio DI D-I 478.69 -51.44 -0.11
209 4 Pennsylvania-B 0-7 238.54 178 Ohio Valley Ohio Valley Dev Dev 838.53 -600 -0.72

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.