College Women's USAU Rankings (ME)

2024-25 Season

Data updated through May 4 at 8:45pm EDT (some scores likely missing)

FAQ
Division I // Division III
Rank    Change Team                                                 Record Rating Change Region Conference Div   SoS PDC %
34 Cornell ME 1 21-3 1641.42 1 Metro East Eastern Metro East DI D-I 1367.49 273.94 0.2
39 Wesleyan 20-3 1587.33 0 Metro East Eastern Metro East DIII D-III 1400.76 186.57 0.13
56 Rochester 19-4 1421.74 0 Metro East Western NY DIII D-III 1119.95 301.79 0.27
64 Connecticut 17-9 1319.82 1 Metro East Eastern Metro East DI D-I 1195.04 124.79 0.1
76 3 Columbia 13-12 1219.45 0 Metro East Eastern Metro East DI D-I 1172.94 46.52 0.04
90 1 SUNY-Buffalo 18-8 1116.34 0 Metro East Western NY DI D-I 957.51 158.83 0.17
91 2 NYU 16-8 1111.74 0 Metro East Eastern Metro East DI D-I 976.28 135.46 0.14
94 2 Ithaca 14-10 1094.08 0 Metro East Western NY DIII D-III 1067.31 26.78 0.03
103 1 Yale 11-13 1041.01 0 Metro East Eastern Metro East DI D-I 1100.94 -59.92 -0.05
112 SUNY-Binghamton 14-14 970.18 0 Metro East Western NY DI D-I 974.28 -4.1 0
137 2 Rutgers 13-15 792.75 0 Metro East Eastern Metro East DI D-I 899.54 -106.79 -0.12
160 1 Syracuse 10-15 663.44 0 Metro East Western NY DI D-I 691.14 -27.7 -0.04
162 1 SUNY-Geneseo 8-17 646.31 0 Metro East Western NY DIII D-III 768.85 -122.54 -0.16
175 RIT 2-7 581.8 0 Metro East Western NY DI D-I 805.92 -224.12 -0.28
184 Skidmore 10-12 521.4 0 Metro East Eastern Metro East DIII D-III 572.27 -50.88 -0.09
185 SUNY-Stony Brook 4-15 518.93 0 Metro East Eastern Metro East DI D-I 830.83 -311.9 -0.38
234 1 Cornell-B 1-9 120.39 0 Metro East Western NY DI Dev 624.88 -504.49 -0.81
239 1 Connecticut College 0-9 75.32 0 Metro East Eastern Metro East DIII D-III 444.04 -368.72 -0.83
243 Columbia-B 1-9 40.54 0 Metro East Eastern Metro East DI Dev 220.89 -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.