College Women's USAU Rankings (NE)

2024-25 Season

Data updated through March 23 at 10:00pm EDT

FAQ
Division I // Division III
Rank    Change Team                                                 Record Rating Change Region Conference Div   SoS PDC %
3 1 Tufts NE 1 11-0 2894.75 91 New England Metro Boston DI D-I 2491.14 403.63 0.16
6 Vermont NE 2 14-4 2636.88 9 New England Greater New England DI D-I 2474.69 162.21 0.07
19 1 Northeastern 6-5 2275.12 88 New England Metro Boston DI D-I 2183.3 91.84 0.04
60 4 MIT 4-2 1601.45 100 New England Metro Boston DI D-I 1543.53 57.94 0.04
70 1 Brown 6-11 1518.83 69 New England Greater New England DI D-I 1580.19 -61.35 -0.04
96 4 Brown-B 5-2 1281.68 123 New England New England Dev Dev 1159.14 122.52 0.11
103 1 Middlebury 5-1 1244.81 95 New England North New England DIII D-III 891.81 353.05 0.4
117 Boston University 2-4 1148.35 New England Metro Boston DI D-I 1076.7 71.67 0.07
130 54 Williams 8-3 1039.48 498 New England South New England DIII D-III 949.64 89.83 0.09
165 1 Harvard 2-6 759.88 105 New England Metro Boston DI D-I 781.73 -22.67 -0.03
168 2 Vermont-B 2-1 724 95 New England ? 570.86 153.14 0.27
173 6 Boston College 2-9 676.24 181 New England Metro Boston DI D-I 907.53 -231.13 -0.25
181 60 Wellesley 8-2 591.23 651 New England Metro Boston DIII D-III 383.45 207.8 0.54
- Northeastern-B 0-1 400 New England ? 1464.17 -600 -0.41
204 48 Massachusetts 3-3 288.02 651 New England Greater New England DI D-I 349.24 -61.2 -0.18
214 36 Colby 3-7 109.29 651 New England North New England DIII D-III 324.81 -215.5 -0.66
215 31 Bates 1-3 52.99 652 New England North New England DIII D-III 353.5 -300.49 -0.85
220 31 New Hampshire 1-9 -36.95 651 New England Greater New England DI D-I 356.81 -393.74 -1.1

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.