College Women's USAU Rankings (NW)

2024-25 Season

Data updated through May 4 at 8:45pm EDT (some scores likely missing)

FAQ
Division I // Division III
Rank    Change Team                                                 Record Rating Change Region Conference Div   SoS PDC %
1 British Columbia NW 1 27-1 2575.94 11 Northwest Cascadia DI D-I 2159.49 416.46 0.19
6 1 Washington NW 2 19-10 2262.76 73 Northwest Cascadia DI D-I 2087.76 175.01 0.08
7 1 Oregon NW 3 21-10 2196.79 23 Northwest Cascadia DI D-I 2111.19 85.61 0.04
15 3 Utah NW 4 20-9 2011.59 82 Northwest Big Sky DI D-I 2034.46 -22.86 -0.01
16 Victoria NW 5 13-19 1990.7 5 Northwest Cascadia DI D-I 2044.85 -54.14 -0.03
18 Western Washington 16-15 1946.41 20 Northwest Cascadia DI D-I 1922.22 24.2 0.01
19 Brigham Young 9-10 1934.97 5 Northwest Big Sky DI D-I 1984.48 -49.51 -0.02
48 6 Whitman 16-2 1505.02 63 Northwest Northwest DIII D-III 1098.47 406.55 0.37
52 Oregon State 16-13 1472.23 8 Northwest Cascadia DI D-I 1560.81 -88.57 -0.06
61 2 British Columbia-B 6-9 1378.04 47 Northwest Cascadia DI Dev 1500.22 -122.16 -0.08
67 1 Lewis & Clark 12-5 1297.81 16 Northwest Northwest DIII D-III 1167.65 130.16 0.11
79 3 Portland 13-11 1206.76 17 Northwest Northwest DIII D-III 1234.39 -27.62 -0.02
106 36 Montana 7-9 1028.43 251 Northwest Big Sky DI D-I 1049.03 -20.59 -0.02
116 3 Puget Sound 8-9 943.82 26 Northwest Northwest DIII D-III 1072.92 -129.09 -0.12
142 25 Utah State 4-4 731.85 214 Northwest Big Sky DI D-I 934.71 -202.86 -0.22
167 41 Montana State 4-11 622.57 235 Northwest Big Sky DI D-I 589.41 33.16 0.06
171 3 Pacific Lutheran 5-10 603 17 Northwest Northwest DIII D-III 715.96 -112.95 -0.16
225 1 Washington-B 2-8 195.47 15 Northwest Cascadia DI Dev 374.18 -178.7 -0.48
240 32 Utah-B 0-11 60.9 235 Northwest Big Sky DI Dev 622.57 -561.67 -0.9
250 Lewis & Clark -B 0-6 -38.61 14 Northwest Northwest DIII D-III 332.67 -371.27 -1.12

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.