College Women's USAU Rankings (ME)

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 %
33 1 Cornell ME 1 10-3 1968.51 14 Metro East Eastern Metro East DI D-I 1802.08 166.44 0.09
47 2 Wesleyan 11-3 1820.96 10 Metro East Eastern Metro East DIII D-III 1673.92 147.06 0.09
69 107 Rochester 10-3 1586.57 891 Metro East Western NY DIII D-III 1389.52 197.05 0.14
70 16 Connecticut 6-7 1568.1 104 Metro East Eastern Metro East DI D-I 1628.68 -60.55 -0.04
76 6 Columbia 5-7 1507.91 8 Metro East Eastern Metro East DI D-I 1538.56 -30.64 -0.02
90 8 Ithaca 7-6 1376.07 92 Metro East Western NY DIII D-III 1406.32 -30.24 -0.02
100 SUNY-Buffalo 11-4 1316.52 46 Metro East Western NY DI D-I 1173.09 143.41 0.12
111 12 SUNY-Binghamton 7-8 1234.66 49 Metro East Western NY DI D-I 1215.61 19.04 0.02
119 85 Yale 4-8 1181.21 813 Metro East Eastern Metro East DI D-I 1324.17 -142.95 -0.11
127 63 NYU 8-4 1112.91 558 Metro East Eastern Metro East DI D-I 1077.71 35.2 0.03
139 53 Rutgers 9-5 1019.06 468 Metro East Eastern Metro East DI D-I 937.31 81.79 0.09
143 4 SUNY-Geneseo 6-9 1000.08 123 Metro East Western NY DIII D-III 1072.07 -71.96 -0.07
144 23 RIT 1-4 998.58 232 Metro East Western NY DI D-I 1239.33 -240.75 -0.19
160 25 Syracuse 6-7 873.51 139 Metro East Western NY DI D-I 713.32 160.22 0.22
185 10 Skidmore 4-8 689.71 199 Metro East Eastern Metro East DIII D-III 893.27 -203.53 -0.23
216 7 SUNY-Stony Brook 2-4 440.77 474 Metro East Eastern Metro East DI D-I 626.22 -185.46 -0.3
217 10 Cornell-B 1-5 437.77 710 Metro East Western NY DI Dev 829.87 -392.09 -0.47
226 Connecticut College 0-5 338.33 Metro East Eastern Metro East DIII D-III 731.19 -392.9 -0.54
239 11 Columbia-B 0-5 74.12 474 Metro East Eastern Metro East DI Dev 440.77 -366.61 -0.83

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.