College Women's USAU Rankings (AC)

2024-25 Season

Data updated through February 19 at 11:00am PST

FAQ
Division I // Division III
Rank    Change Team                                                 Record Rating Change Region Conference Div   SoS PDC %
6 North Carolina AC 1 10-1 1775.39 Atlantic Coast Carolina DI D-I 1428.3 347.09 0.24
14 Virginia AC 2 9-2 1616.52 Atlantic Coast Virginia DI D-I 1391.28 225.24 0.16
28 Georgetown 4-2 1282.35 Atlantic Coast Colonial DI D-I 1235.69 46.66 0.04
30 Duke 5-1 1268.81 Atlantic Coast Carolina DI D-I 956.48 312.33 0.33
34 William & Mary 3-2 1193.83 Atlantic Coast Virginia DI D-I 1198.2 -4.36 0
38 South Carolina 2-3 1096.49 Atlantic Coast Carolina DI D-I 1257.46 -160.97 -0.13
47 Appalachian State 4-6 1044.53 Atlantic Coast Carolina DI D-I 1234.39 -189.86 -0.15
48 James Madison 3-3 1037.86 Atlantic Coast Virginia DI D-I 1239.18 -201.32 -0.16
50 Liberty 7-4 1017.03 Atlantic Coast Virginia DI D-I 904.8 112.23 0.12
55 North Carolina State 5-6 965.2 Atlantic Coast Carolina DI D-I 1054.48 -89.27 -0.08
80 Wake Forest 3-3 487.17 Atlantic Coast Carolina DI D-I 631.38 -144.2 -0.23
85 North Carolina-B 3-9 439.03 Atlantic Coast Atlantic Coast Dev Dev 681.06 -242.04 -0.36
92 Richmond 2-3 184.91 Atlantic Coast Atlantic Coast DIII D-III 222.53 -37.62 -0.17
94 Georgetown-B 1-5 95.52 Atlantic Coast Atlantic Coast Dev Dev 534.57 -439.05 -0.82
99 Virginia Tech 1-4 -51.99 Atlantic Coast Virginia DI D-I 85.57 -137.56 -1.61
103 Catholic 0-5 -294.12 Atlantic Coast Atlantic Coast DIII D-III 164.53 -458.64 -2.79
107 Virginia-B 0-6 Atlantic Coast Atlantic Coast Dev Dev 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.