College Women's USAU Rankings (GL)

2024-25 Season

Data updated through March 31 at 3:45pm EDT

FAQ
Division I // Division III
Rank    Change Team                                                 Record Rating Change Region Conference Div   SoS PDC %
7 Michigan GL 1 9-3 2568.61 10 Great Lakes Eastern Great Lakes DI D-I 2497.2 71.43 0.03
19 11 Notre Dame 10-4 2286.09 315 Great Lakes Eastern Great Lakes DI D-I 2100.44 185.67 0.09
59 2 Davenport 10-1 1659.67 72 Great Lakes Great Lakes DIII D-III 1288.6 371.1 0.29
60 47 Purdue 7-4 1657.52 429 Great Lakes Eastern Great Lakes DI D-I 1431.8 225.73 0.16
75 11 Chicago 7-5 1517.69 160 Great Lakes Illinois DI D-I 1367.01 150.72 0.11
83 10 Illinois 13-6 1439.05 34 Great Lakes Illinois DI D-I 1185.74 253.35 0.21
87 17 Michigan State 8-4 1408.17 173 Great Lakes Eastern Great Lakes DI D-I 1259.71 148.47 0.12
101 26 Butler 5-2 1312.73 121 Great Lakes Great Lakes DIII D-III 1228.66 84.1 0.07
103 37 Loyola-Chicago 9-3 1266.99 272 Great Lakes Illinois DI D-I 1103.4 163.63 0.15
123 33 Northwestern 5-13 1142.51 191 Great Lakes Illinois DI D-I 1311.02 -168.48 -0.13
132 19 Grand Valley 5-7 1064.88 211 Great Lakes Eastern Great Lakes DI D-I 1197.82 -132.93 -0.11
157 9 Knox 5-8 935.2 60 Great Lakes Great Lakes DIII D-III 975.38 -40.17 -0.04
164 27 Indiana 6-6 842.49 162 Great Lakes Eastern Great Lakes DI D-I 873.36 -30.85 -0.04
174 62 Michigan-B 2-4 791.57 220 Great Lakes Great Lakes Dev Dev 831.84 -40.25 -0.05
221 Notre Dame-B 1-5 382.26 Great Lakes ? 597.72 -215.44 -0.36
230 11 Purdue-B 1-11 263.03 210 Great Lakes Great Lakes Dev Dev 622.25 -359.2 -0.58
236 26 Northwestern-B 0-5 212.13 54 Great Lakes Illinois DI Dev 574.65 -362.5 -0.63

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.