College Women's USAU Rankings (GL)

2024-25 Season

Data updated through April 28 at 11:45pm EDT

FAQ
Division I // Division III
Rank    Change Team                                                 Record Rating Change Region Conference Div   SoS PDC %
11 4 Michigan GL 1 20-4 2110.35 458 Great Lakes Eastern Great Lakes DI D-I 1919.45 190.96 0.1
17 2 Notre Dame GL 2 21-5 1969.03 317 Great Lakes Eastern Great Lakes DI D-I 1828.33 140.71 0.08
58 1 Davenport 15-1 1403.44 256 Great Lakes Great Lakes DIII D-III 974.68 428.77 0.44
62 13 Chicago 15-8 1343.7 174 Great Lakes Illinois DI D-I 1167.71 176.15 0.15
67 16 Illinois 21-9 1309.59 129 Great Lakes Illinois DI D-I 1078.78 230.58 0.21
74 14 Purdue 13-9 1260.76 397 Great Lakes Eastern Great Lakes DI D-I 1120.13 140.72 0.13
110 23 Michigan State 13-11 1005.94 402 Great Lakes Eastern Great Lakes DI D-I 982.53 23.54 0.02
118 5 Northwestern 10-19 939.61 203 Great Lakes Illinois DI D-I 1096.28 -156.56 -0.14
121 18 Loyola-Chicago 12-11 929.71 337 Great Lakes Illinois DI D-I 957.29 -27.77 -0.03
130 29 Butler 7-5 845.61 467 Great Lakes Great Lakes DIII D-III 854.07 -8.3 -0.01
135 3 Grand Valley 9-13 815.26 250 Great Lakes Eastern Great Lakes DI D-I 906.66 -91.2 -0.1
146 11 Knox 8-10 726.4 209 Great Lakes Great Lakes DIII D-III 686.93 39.37 0.06
181 7 Michigan-B 6-10 536.74 255 Great Lakes Great Lakes Dev Dev 616.75 -80.27 -0.13
198 34 Indiana 8-10 456.08 386 Great Lakes Eastern Great Lakes DI D-I 467.96 -11.6 -0.02
244 23 Notre Dame-B 2-13 36.06 346 Great Lakes ? 318.31 -282.54 -0.89
253 17 Northwestern-B 0-9 -89.58 302 Great Lakes Illinois DI Dev 272.93 -362.5 -1.33
254 24 Purdue-B 1-17 -109.71 373 Great Lakes Great Lakes Dev Dev 293.05 -403.08 -1.38

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.