College Women's USAU Rankings (NW)

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 %
1 British Columbia NW 1 18-1 3002.29 2 Northwest Cascadia DI D-I 2613.15 389.17 0.15
5 Oregon NW 2 14-6 2744.32 5 Northwest Cascadia DI D-I 2581.78 162.56 0.06
8 Washington NW 3 11-8 2527.69 6 Northwest Cascadia DI D-I 2434.97 92.75 0.04
11 1 Utah NW 4 12-7 2478.8 7 Northwest Big Sky DI D-I 2439.69 39.13 0.02
15 Victoria NW 5 7-13 2371.15 4 Northwest Cascadia DI D-I 2458.77 -87.6 -0.04
18 Brigham Young 9-10 2293.32 6 Northwest Big Sky DI D-I 2342.85 -49.51 -0.02
22 2 Western Washington 11-8 2250.67 7 Northwest Cascadia DI D-I 2259.03 -8.33 0
44 Whitman 12-2 1830.92 8 Northwest Northwest DIII D-III 1552.59 278.33 0.18
51 3 British Columbia-B 4-3 1744.01 21 Northwest Cascadia DI Dev 1814.61 -70.58 -0.04
54 5 Oregon State 14-6 1715.45 26 Northwest Cascadia DI D-I 1606.77 108.69 0.07
61 6 Lewis & Clark 9-4 1656.43 13 Northwest Northwest DIII D-III 1603.85 52.59 0.03
65 6 Portland 11-8 1626.91 22 Northwest Northwest DIII D-III 1571.66 55.26 0.04
74 5 Utah State 3-1 1518.98 8 Northwest Big Sky DI D-I 1173.53 345.48 0.29
88 10 Montana 4-3 1396.39 8 Northwest Big Sky DI D-I 1422.39 -25.98 -0.02
121 8 Puget Sound 5-7 1171.73 17 Northwest Northwest DIII D-III 1249.02 -77.29 -0.06
153 13 Montana State 2-5 955.75 8 Northwest Big Sky DI D-I 1102.28 -146.5 -0.13
173 17 Pacific Lutheran 4-7 793.46 39 Northwest Northwest DIII D-III 848.34 -54.85 -0.06
193 11 Utah-B 0-7 605.04 8 Northwest Big Sky DI Dev 1160.95 -555.88 -0.48
207 16 Washington-B 2-7 510.57 42 Northwest Cascadia DI Dev 661.49 -150.9 -0.23
234 26 Lewis & Clark -B 0-6 230.67 56 Northwest Northwest DIII D-III 601.97 -371.27 -0.62

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.