College Women's USAU Rankings (ME)

2022-23 Season

Data updated through September 25 at 10:00am EDT

FAQ
Division I // Division III
Rank    Change Team                                                 Record Rating Change Region Conference Div   SoS PDC %
19 4 Yale ME 1 9-2 1786.06 219 Metro East Eastern Metro East DI D-I 1541.82 244.24 0.16
32 3 SUNY-Binghamton 12-3 1651.59 110 Metro East Western NY DI D-I 1448.4 203.19 0.14
55 4 Cornell 9-1 1345.99 101 Metro East Western NY DI D-I 1077.78 268.21 0.25
89 4 Columbia 6-11 1078.66 158 Metro East Eastern Metro East DI D-I 1251.87 -173.21 -0.14
97 19 NYU 5-6 1010.21 9 Metro East Eastern Metro East DI D-I 1029.18 -18.97 -0.02
113 12 Ithaca 6-6 905.27 218 Metro East Western NY DIII D-III 944.63 -39.36 -0.04
139 18 Wesleyan 4-7 700.24 1 Metro East Eastern Metro East DIII D-III 908.53 -208.29 -0.23
140 9 Rochester 5-2 680.32 199 Metro East Western NY DIII D-III 429.53 250.79 0.58
143 22 Connecticut 7-9 667.98 46 Metro East Eastern Metro East DI D-I 647.53 20.45 0.03
146 14 SUNY-Geneseo 1-10 650.15 225 Metro East Western NY DIII D-III 928.43 -278.28 -0.3
- SUNY-Stony Brook 1-2 612.96 107 Metro East Eastern Metro East DI D-I 783.67 -170.71 -0.22
151 17 Rutgers 3-8 605.51 255 Metro East Eastern Metro East DI D-I 898.94 -293.43 -0.33
154 16 Syracuse 5-4 582.2 263 Metro East Western NY DI D-I 595.33 -13.13 -0.02
156 2 Connecticut College 2-3 555.42 188 Metro East Eastern Metro East DIII D-III 612.81 -57.39 -0.09
161 10 Skidmore 4-5 505.55 262 Metro East Eastern Metro East DIII D-III 509.73 -4.18 -0.01
199 3 College of New Jersey 2-7 87.34 98 Metro East Eastern Metro East DIII D-III 365.44 -278.1 -0.76
200 2 Princeton 1-5 64.53 184 Metro East Eastern Metro East DI D-I 347.85 -283.32 -0.81
- SUNY-Albany 1-3 -152.66 140 Metro East Eastern Metro East DI D-I 76.2 -228.86 -3
- Columbia-B 0-4 Metro East Eastern Metro East DI D-I NaN NaN NaN

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.