College Women's USAU Rankings (GL)

2017-18 Season

Data Updated Through October 24th at 10:30pm PST

FAQ
Division I // Division III
Note
Rank Change Team Record Rating Change Region Conference Div   SoS Contrib Score Contrib Score % of Sos
21 1 Michigan GL 1 11-12 2238.43 436 Great Lakes Eastern Great Lakes DI 2233.36 5.08 0
25 1 Notre Dame 13-4 2139.71 460 Great Lakes Eastern Great Lakes DI 1958.11 181.6 0.09
37 3 Northwestern 9-12 2028.18 469 Great Lakes Illinois DI 2042.52 -14.33 -0.01
79 6 Chicago 5-12 1653.38 399 Great Lakes Illinois DI 1846.51 -193.12 -0.1
81 2 Purdue 7-6 1636.67 491 Great Lakes Eastern Great Lakes DI 1557.31 79.25 0.05
112 36 Illinois 4-5 1431.05 195 Great Lakes Illinois DI 1472 -40.93 -0.03
133 4 Indiana 5-5 1278.7 514 Great Lakes Eastern Great Lakes DI 1133.42 145.45 0.13
139 8 Michigan State 10-9 1254.26 463 Great Lakes Eastern Great Lakes DI 1223.02 31.23 0.03
142 6 North Park 8-6 1238.37 473 Great Lakes Great Lakes DIII 1180.82 57.57 0.05
193 25 Valparaiso 4-6 930.66 764 Great Lakes Great Lakes DIII 984.61 -54.04 -0.05
203 9 Loyola-Chicago 5-7 854.86 512 Great Lakes Illinois DI 916.65 -61.81 -0.07
210 1 Central Michigan 1-5 795.8 546 Great Lakes Eastern Great Lakes DI 986.19 -190.4 -0.19
211 12 Wheaton (Illinois) 4-7 787.2 481 Great Lakes Great Lakes DIII 897.58 -110.34 -0.12
217 11 Southern Indiana 2-4 757.42 495 Great Lakes Eastern Great Lakes DI 715.71 41.73 0.06
220 16 Northwestern-B 3-4 723.7 447 Great Lakes Illinois DI 931.57 -207.9 -0.22
221 7 Michigan-B 7-9 709.51 611 Great Lakes Eastern Great Lakes DI 915.51 -205.99 -0.22
262 12 Notre Dame-B 0-12 112.35 493 Great Lakes Eastern Great Lakes DI 707.14 -594.96 -0.84

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.