College Women's USAU Rankings (ME)

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 %
34 1 Cornell ME 1 21-3 1640.76 328 Metro East Eastern Metro East DI D-I 1366.83 273.94 0.2
39 8 Wesleyan 20-3 1586.83 234 Metro East Eastern Metro East DIII D-III 1400.27 186.57 0.13
56 13 Rochester 19-4 1421.56 165 Metro East Western NY DIII D-III 1119.78 301.79 0.27
64 6 Connecticut 17-9 1319.26 249 Metro East Eastern Metro East DI D-I 1194.48 124.79 0.1
79 3 Columbia 13-12 1218.99 289 Metro East Eastern Metro East DI D-I 1172.48 46.52 0.04
91 9 SUNY-Buffalo 18-8 1116.18 200 Metro East Western NY DI D-I 957.34 158.83 0.17
93 34 NYU 16-8 1111.44 1 Metro East Eastern Metro East DI D-I 975.98 135.46 0.14
96 6 Ithaca 14-10 1093.91 282 Metro East Western NY DIII D-III 1067.14 26.78 0.03
104 15 Yale 11-13 1040.63 141 Metro East Eastern Metro East DI D-I 1100.56 -59.92 -0.05
112 1 SUNY-Binghamton 14-14 970.01 265 Metro East Western NY DI D-I 974.11 -4.1 0
139 Rutgers 13-15 792.55 227 Metro East Eastern Metro East DI D-I 899.34 -106.79 -0.12
161 1 Syracuse 10-15 663.31 210 Metro East Western NY DI D-I 691 -27.7 -0.04
163 20 SUNY-Geneseo 8-17 646.2 354 Metro East Western NY DIII D-III 768.74 -122.54 -0.16
175 31 RIT 2-7 581.71 417 Metro East Western NY DI D-I 805.84 -224.12 -0.28
184 1 Skidmore 10-12 521.35 168 Metro East Eastern Metro East DIII D-III 572.22 -50.88 -0.09
185 31 SUNY-Stony Brook 4-15 518.7 78 Metro East Eastern Metro East DI D-I 830.6 -311.9 -0.38
235 18 Cornell-B 1-9 120.28 317 Metro East Western NY DI Dev 624.77 -504.49 -0.81
240 14 Connecticut College 0-9 75.33 263 Metro East Eastern Metro East DIII D-III 444.05 -368.72 -0.83
243 4 Columbia-B 1-9 40.29 34 Metro East Eastern Metro East DI Dev 220.64 -180.35 -0.82

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.