College Men's USAU Rankings (SW)

2019-20 Season

Data updated through 6:00pm PDT on March 12

FAQ
Division I // Division III
Rank    Change Team                                                 Record Rating Change Region Conference Div   SoS PDC %
4 Cal Poly-SLO SW 1 18-5 2178.18 45 Southwest SoCal DI D-I 1904.18 274 0.14
15 California SW 2 8-6 1886.17 15 Southwest NorCal DI D-I 1889.62 -3.45 0
16 2 UCLA SW 3 13-10 1869.83 37 Southwest SoCal DI D-I 1865.83 4 0
28 1 California-Santa Barbara 9-14 1716.49 4 Southwest SoCal DI D-I 1782.2 -65.71 -0.04
36 3 California-Santa Cruz 18-9 1628.84 2 Southwest NorCal DI D-I 1632.04 -3.2 0
39 2 California-San Diego 6-10 1617.36 1 Southwest SoCal DI D-I 1680.49 -63.13 -0.04
40 2 Santa Clara 10-5 1611.92 5 Southwest NorCal DI D-I 1543.79 68.13 0.04
43 1 Stanford 8-15 1599.54 22 Southwest NorCal DI D-I 1754.49 -154.95 -0.09
46 1 Arizona 5-2 1558.84 1 Southwest Desert DI D-I 1394.41 164.43 0.12
54 2 California-Davis 7-7 1478.06 11 Southwest NorCal DI D-I 1374.82 103.24 0.08
68 11 Occidental 16-2 1385.25 39 Southwest Southwest DIII D-III 1034.43 350.81 0.34
75 8 Nevada-Reno 13-7 1360.69 21 Southwest NorCal DI D-I 1207.36 153.32 0.13
85 5 Humboldt State 6-7 1307.34 10 Southwest NorCal DI D-I 1337.72 -30.38 -0.02
86 3 Arizona State-B-B 14-5 1297.07 41 Southwest Southwest Dev Dev 1022.88 274.2 0.27
88 6 Claremont 7-5 1283.92 0 Southwest Southwest DIII D-III 1226.89 57.03 0.05
90 3 Southern California 4-16 1270.22 35 Southwest SoCal DI D-I 1543.38 -273.16 -0.18
102 7 Northern Arizona 10-5 1206.85 15 Southwest Desert DI D-I 1217.97 -11.12 -0.01
121 14 Arizona State 5-2 1130.61 10 Southwest Desert DI D-I 984.47 146.13 0.15
126 17 Chico State 8-6 1122.43 6 Southwest NorCal DI D-I 1194.62 -72.19 -0.06
148 9 Sonoma State 5-10 1007.81 10 Southwest NorCal DI D-I 1060.37 -52.57 -0.05
159 18 California-Irvine 6-6 991.54 2 Southwest SoCal DI D-I 1003.96 -12.42 -0.01
160 12 San Diego State 0-8 990.19 15 Southwest SoCal DI D-I 1483.95 -493.77 -0.33
163 23 UCLA-B 8-8 980.45 13 Southwest Southwest Dev Dev 977.64 2.82 0
165 16 New Mexico 3-3 972.98 3 Southwest Desert DI D-I 988.92 -15.94 -0.02
179 24 Grand Canyon 7-7 924.73 10 Southwest Desert DI D-I 915.8 8.92 0.01
- California-B 1-3 904.29 10 Southwest Southwest Dev Dev 1168.68 -264.39 -0.23
185 29 Cal State-Long Beach 5-6 900.75 33 Southwest SoCal DI D-I 1029.14 -128.38 -0.12
187 16 Loyola Marymount 3-6 894.41 21 Southwest SoCal DI D-I 1081.05 -186.64 -0.17
189 17 Cal Poly-Pomona 6-5 879.26 10 Southwest SoCal DI D-I 771.32 107.94 0.14
200 23 California-Santa Barbara-B 3-4 834.01 3 Southwest Southwest Dev Dev 870.19 -36.18 -0.04
203 19 Cal Poly-SLO-B 2-9 823.79 16 Southwest Southwest Dev Dev 1122.51 -298.72 -0.27
214 29 California-San Diego-B 3-6 780.34 20 Southwest Southwest Dev Dev 925.72 -145.37 -0.16
253 31 Caltech 3-4 615.76 0 Southwest Southwest DIII D-III 744.43 -128.68 -0.17
279 30 Cal State-Fullerton 1-4 460.09 13 Southwest SoCal DI D-I 784.14 -324.05 -0.41
284 32 San Jose State 2-9 431.9 7 Southwest NorCal DI D-I 670.8 -238.9 -0.36
294 37 Southern California-B 2-5 389.77 4 Southwest Southwest Dev Dev 686.19 -296.43 -0.43
302 40 Santa Clara-B 0-7 316.06 5 Southwest NorCal DI Dev 690.19 -374.13 -0.54
303 34 Long Beach State University-B 0-5 311.2 20 Southwest D-I 861.29 -550.09 -0.64
306 38 Fresno State 2-4 295.87 1 Southwest NorCal DI D-I 434.51 -138.64 -0.32
318 36 Arizona-B 1-5 216 2 Southwest Southwest Dev Dev 311.19 -95.19 -0.31
321 36 Cal Poly-SLO-C 1-6 193.07 0 Southwest Southwest Dev Dev 422.32 -229.25 -0.54
329 38 California-Irvine-B 1-6 104.94 8 Southwest Southwest Dev Dev 280.73 -175.8 -0.63
330 37 Arizona State-C 0-6 91 2 Southwest Southwest Dev Dev 216 -125 -0.58
- California-San Diego-C 0-4 -448.71 4 Southwest Southwest Dev Dev 151.29 -600 -3.97

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.