College Women's USAU Rankings

2023-24 Season

Data updated through April 1 at 8:00pm EDT

Division I // Division III
Rank    Change Team                                                 Record Rating Change Region Conference Div   SoS PDC %
69 5 California-San Diego-B 10-8 1422.37 41 Southwest Southwest Dev Dev 1383.01 39.37 0.03
130 19 Cal Poly-SLO-B 2-7 925.76 203 Southwest Southwest Dev Dev 1205.59 -279.83 -0.23
138 14 California-B 6-9 896.13 218 Southwest Southwest Dev Dev 1052.83 -156.69 -0.15
159 22 California-Davis-B 3-9 677.88 336 Southwest Southwest Dev Dev 782.95 -105.07 -0.13
177 5 Arizona-B 0-6 476.56 40 Southwest Southwest Dev Dev 1049.51 -572.94 -0.55
182 11 UCLA-B 1-7 436.13 265 Southwest Southwest Dev Dev 664.66 -228.52 -0.34


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.