College Women's USAU Rankings (NW)

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 %
1 British Columbia NW 1 22-1 2565.2 437 Northwest Cascadia DI D-I 2134.94 430.27 0.2
6 1 Oregon NW 2 16-8 2219.89 524 Northwest Cascadia DI D-I 2138.22 81.67 0.04
7 1 Washington NW 3 14-9 2189.3 338 Northwest Cascadia DI D-I 2055.53 133.78 0.07
12 1 Utah NW 4 16-7 2093.58 385 Northwest Big Sky DI D-I 2002.15 91.44 0.05
16 1 Victoria NW 5 9-16 1985.9 385 Northwest Cascadia DI D-I 2065.96 -80.05 -0.04
18 4 Western Washington 13-11 1966.62 284 Northwest Cascadia DI D-I 2011.34 -44.71 -0.02
19 1 Brigham Young 9-10 1930.43 363 Northwest Big Sky DI D-I 1979.94 -49.51 -0.03
42 2 Whitman 16-2 1568.16 263 Northwest Northwest DIII D-III 1161.61 406.55 0.35
52 2 Oregon State 15-9 1464.09 251 Northwest Cascadia DI D-I 1477.9 -13.8 -0.01
63 12 British Columbia-B 4-5 1331.04 413 Northwest Cascadia DI Dev 1412.1 -81.06 -0.06
66 5 Lewis & Clark 12-5 1314.25 342 Northwest Northwest DIII D-III 1184.1 130.16 0.11
70 18 Montana 7-4 1278.97 117 Northwest Big Sky DI D-I 1067.6 211.37 0.2
76 11 Portland 13-11 1223.97 403 Northwest Northwest DIII D-III 1251.6 -27.62 -0.02
113 8 Puget Sound 8-9 969.45 202 Northwest Northwest DIII D-III 1098.55 -129.09 -0.12
117 43 Utah State 4-4 945.79 573 Northwest Big Sky DI D-I 1148.65 -202.86 -0.18
126 27 Montana State 4-7 857.68 98 Northwest Big Sky DI D-I 824.52 33.16 0.04
168 5 Pacific Lutheran 5-10 619.92 174 Northwest Northwest DIII D-III 732.87 -112.95 -0.15
208 15 Utah-B 0-11 296.01 309 Northwest Big Sky DI Dev 857.68 -561.67 -0.65
224 17 Washington-B 2-8 210.82 300 Northwest Cascadia DI Dev 389.53 -178.7 -0.46
250 16 Lewis & Clark -B 0-6 -24.72 255 Northwest Northwest DIII D-III 346.56 -371.27 -1.07

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.