College Women_seeded's USAU Rankings (NC)

2023-24 Season

Data updated through April 1 at 8:00pm EDT

FAQ
Division I // Division III
Rank    Team                                                 Record Rating Region Conference Div   SoS PDC %
1 Carleton College NC 1 5-0 2725.49 North Central Western North Central DI D-I 2182.68 544.17 0.25
11 Wisconsin NC 2 2-3 2237.38 North Central Lake Superior DI D-I 2360.77 -122.02 -0.05
- Iowa State 0-0 1819.66 North Central Western North Central DI D-I NaN NaN NaN
- Minnesota 0-0 1781.17 North Central Western North Central DI D-I NaN NaN NaN
39 Iowa 3-3 1509.71 North Central Western North Central DI D-I 1587 -75.93 -0.05
- St Olaf 0-0 1302.82 North Central North Central DIII D-III NaN NaN NaN
- Winona State 0-0 1257.86 North Central Western North Central DI D-I NaN NaN NaN
- Wisconsin-La Crosse 0-0 941.2 North Central Lake Superior DI D-I NaN NaN NaN
- St Benedict 0-0 884.3 North Central North Central DIII D-III NaN NaN NaN
- Grinnell 0-0 877.05 North Central North Central DIII D-III NaN NaN NaN
- Luther 0-0 861.87 North Central North Central DIII D-III NaN NaN NaN
78 Carleton College-Eclipse 3-3 831.88 North Central North Central DIII D-III 863.32 -27.8 -0.03
- Nebraska 0-0 762.64 North Central Western North Central DI D-I NaN NaN NaN
- Wisconsin-Eau Claire 0-0 694.05 North Central Lake Superior DI D-I NaN NaN NaN
- Wisconsin-Milwaukee 0-0 653.93 North Central Lake Superior DI D-I NaN NaN NaN
- Minnesota-Duluth 0-0 467.65 North Central Western North Central DI D-I NaN NaN NaN
- Wisconsin-B 0-0 356.51 North Central Lake Superior DI Dev NaN NaN NaN
- Marquette 0-0 332.11 North Central Lake Superior DI D-I NaN NaN NaN
- Grinnell-B 0-0 276.33 North Central North Central DIII Dev 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.