Club Mixed's USAU Rankings

2019-20 Season

Data updated through 6:00pm PDT on March 12

FAQ
Rank    Change Team                                                 Record Rating Change Region Conference SoS PDC %
4 2 Mischief SW 1 19-10 1956.21 67 Southwest NorCal 1793.39 162.82 0.09
9 1 Blackbird SW 2 13-7 1825.7 6 Southwest NorCal 1602.69 223.01 0.14
17 Polar Bears 21-12 1709.63 11 Southwest NorCal 1600.94 108.69 0.07
36 1 BW Ultimate 12-13 1524.91 3 Southwest NorCal 1446.54 78.37 0.05
42 1 Classy 20-13 1462.69 7 Southwest NorCal 1382.48 80.21 0.06
50 1 Cutthroat 24-10 1416.57 1 Southwest NorCal 1314.35 102.22 0.08
61 American Barbecue 17-17 1298.36 1 Southwest NorCal 1326.05 -27.69 -0.02
64 Donuts 27-14 1272.77 2 Southwest NorCal 1221.97 50.79 0.04
66 Firefly 18-16 1257.29 3 Southwest NorCal 1240.94 16.35 0.01
88 Alchemy 17-16 1153.15 3 Southwest NorCal 1170.13 -16.98 -0.01
101 1 Buckwild 12-9 1113.25 2 Southwest NorCal 1195.8 -82.55 -0.07
104 1 Argo 15-12 1101.84 3 Southwest NorCal 1137.04 -35.2 -0.03
118 1 Absolute Zero 12-17 1054.19 3 Southwest NorCal 1125.72 -71.53 -0.06
127 Platypi 12-15 1004.27 3 Southwest NorCal 1158.38 -154.12 -0.13
145 The Los Gatos Gatos-Senior 6-5 887.82 3 Southwest NorCal 817.14 70.68 0.09
163 2 VU 16-17 814.21 2 Southwest NorCal 824.04 -9.83 -0.01
184 1 DR 8-9 697.45 3 Southwest NorCal 657.31 40.14 0.06
218 1 Megalodon 6-14 559.61 4 Southwest NorCal 745.48 -185.86 -0.25
237 1 Feral Cows 6-18 431.23 3 Southwest NorCal 616.48 -185.25 -0.3
260 1 Party Cats-D 4-18 301.15 3 Southwest NorCal 675.11 -373.96 -0.55
299 Delta Breeze 0-12 Southwest NorCal 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.