College Women's USAU Rankings (OV)

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 %
17 Pennsylvania OV 1 11-9 2124.71 5 Ohio Valley Pennsylvania DI D-I 1991.49 133.23 0.07
21 1 Ohio State 21-6 2082.16 3 Ohio Valley Ohio DI D-I 1846.28 235.88 0.13
25 Pittsburgh 10-10 1962.92 9 Ohio Valley Pennsylvania DI D-I 1989.83 -26.91 -0.01
35 3 Ohio 12-7 1798.14 23 Ohio Valley Ohio DI D-I 1679.59 118.55 0.07
54 1 Haverford/Bryn Mawr 13-1 1561.45 17 Ohio Valley Pennsylvania DIII D-III 1183.46 377.99 0.32
61 7 Penn State 8-10 1503.49 69 Ohio Valley Pennsylvania DI D-I 1585.91 -82.41 -0.05
63 1 Cincinnati 10-3 1497.99 5 Ohio Valley Ohio DI D-I 1441.29 56.76 0.04
86 6 Franciscan 4-2 1310.12 4 Ohio Valley Ohio DIII D-III 1075.27 234.84 0.22
90 25 Carnegie Mellon 2-10 1290.85 181 Ohio Valley Pennsylvania DI D-I 1623.81 -332.95 -0.21
99 6 Kenyon 4-2 1214.71 4 Ohio Valley Ohio DIII D-III 1051.72 163 0.15
103 9 Lehigh 15-4 1170.49 48 Ohio Valley Pennsylvania DIII D-III 928.96 241.52 0.26
114 16 West Chester 6-8 1060.72 139 Ohio Valley Pennsylvania DI D-I 1234.94 -174.21 -0.14
128 6 Cedarville 6-5 946.97 23 Ohio Valley Ohio DIII D-III 1012.98 -66.4 -0.07
137 6 Case Western Reserve 2-8 899.44 3 Ohio Valley Ohio DI D-I 1315.06 -415.65 -0.32
143 10 Oberlin 3-3 850.51 8 Ohio Valley Ohio DIII D-III 805.82 44.7 0.06
157 9 Miami (Ohio) 1-6 715.4 8 Ohio Valley Ohio DI D-I 1115.07 -399.66 -0.36
163 19 Temple 3-10 634.57 113 Ohio Valley Pennsylvania DI D-I 838.05 -203.48 -0.24
168 12 Swarthmore 7-6 573.52 80 Ohio Valley Pennsylvania DIII D-III 587.4 -13.87 -0.02
200 9 Messiah 2-3 236.14 32 Ohio Valley Pennsylvania DIII D-III 159.26 76.89 0.48
204 12 Dayton 0-6 172.26 8 Ohio Valley Ohio DI D-I 649.75 -477.48 -0.73
205 9 Xavier 1-5 168.75 21 Ohio Valley Ohio DIII D-III 385.99 -217.29 -0.56
212 9 Dickinson 1-8 75.69 125 Ohio Valley Pennsylvania DIII D-III 547.53 -471.82 -0.86

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.