College Men's USAU Rankings (SW)

2017-18 Season

Data Updated Through October 24th at 10:30pm PST

FAQ
Division I // Division III
Note
Rank Change Team Record Rating Change Region Conference Div   SoS Contrib Score Contrib Score % of Sos
15 Stanford SW 1 13-8 1885.63 11 Southwest NorCal DI 1832.77 52.86 0.03
20 4 Cal Poly-SLO 16-12 1843.12 40 Southwest SoCal DI 1796.06 47.06 0.03
32 2 California 18-16 1695.8 22 Southwest NorCal DI 1699.14 -3.34 0
38 2 Southern California 11-11 1633.89 23 Southwest SoCal DI 1639.99 -6.1 0
53 4 UCLA 16-12 1534.42 32 Southwest SoCal DI 1388.04 146.38 0.11
59 7 Santa Clara 12-7 1499.77 38 Southwest NorCal DI 1433.5 66.27 0.05
65 5 California-Santa Barbara 10-14 1462.37 31 Southwest SoCal DI 1529.61 -67.23 -0.04
79 7 California-Davis 14-6 1414.63 30 Southwest NorCal DI 1229.53 185.09 0.15
87 11 Las Positas 12-5 1393.2 28 Southwest NorCal DI 1267.68 125.52 0.1
90 11 Northern Arizona 14-6 1377.6 31 Southwest Desert DI 1213.71 163.89 0.14
100 16 Arizona 10-10 1335.48 49 Southwest Desert DI 1300.51 34.97 0.03
111 11 Arizona State 8-14 1289.21 24 Southwest Desert DI 1387.81 -98.6 -0.07
129 6 Claremont 12-8 1195.86 29 Southwest Southwest DIII 1169.76 26.1 0.02
131 5 Chico State 18-7 1188.64 32 Southwest NorCal DI 1075.3 113.34 0.11
143 12 California-San Diego 6-15 1160.92 35 Southwest SoCal DI 1338.9 -177.99 -0.13
146 14 Nevada-Reno 26-16 1149.3 34 Southwest NorCal DI 1114.62 34.68 0.03
148 46 San Diego State 13-13 1147.07 152 Southwest SoCal DI 1139.5 7.57 0.01
165 13 Humboldt State 9-8 1066.68 34 Southwest NorCal DI 1038.05 28.64 0.03
186 19 Cal Poly-Pomona 7-11 983.1 30 Southwest SoCal DI 1073.04 -89.93 -0.08
195 22 Sonoma State 9-10 963.31 32 Southwest NorCal DI 985.11 -21.81 -0.02
208 25 Occidental 11-8 920.5 38 Southwest Southwest DIII 845.3 75.2 0.09
214 23 California-Santa Cruz 9-9 905.57 32 Southwest NorCal DI 958.21 -52.64 -0.05
225 21 California-B 8-9 853.6 30 Southwest Southwest Dev 918.74 -65.14 -0.07
235 18 Arizona State-B 16-11 802.66 35 Southwest Southwest Dev 793.23 9.42 0.01
237 17 New Mexico 7-11 798.8 32 Southwest Desert DI 852.11 -53.31 -0.06
263 26 Sacramento State 3-10 741.99 30 Southwest NorCal DI 984.36 -242.37 -0.25
267 25 Cal State-Long Beach 4-2 725.74 30 Southwest SoCal DI 643.4 82.34 0.13
276 25 San Jose State 8-10 698.83 31 Southwest NorCal DI 794.6 -95.77 -0.12
298 24 Cal State-Fullerton 1-5 591.16 33 Southwest SoCal DI 908.02 -316.86 -0.35
310 32 Grand Canyon 7-12 556.25 33 Southwest Desert DI 716.32 -160.07 -0.22
316 32 Cal Poly-SLO-B 4-12 523.91 31 Southwest Southwest Dev 681.93 -158.02 -0.23
320 32 Caltech 3-6 504.85 31 Southwest Southwest DIII 570.35 -65.49 -0.11
322 31 Northern Arizona-B 1-5 498.02 32 Southwest Southwest Dev 680.51 -182.49 -0.27
329 31 California-Irvine 5-14 464.87 32 Southwest SoCal DI 630.21 -165.34 -0.26
332 28 California-San Diego-B 7-11 442.18 29 Southwest Southwest Dev 472.06 -29.88 -0.06
333 26 California-Davis-B 4-9 430.48 27 Southwest Southwest Dev 604.44 -173.96 -0.29
360 31 Fresno State 0-5 342.55 31 Southwest NorCal DI 839.83 -497.28 -0.59
366 32 Arizona-B 3-15 316.02 31 Southwest Southwest Dev 573.31 -257.29 -0.45
380 30 Stanford-B 1-5 219.65 32 Southwest Southwest Dev 524.79 -305.14 -0.58
382 29 UCLA-B 3-9 215.18 30 Southwest Southwest Dev 316.95 -101.77 -0.32
394 28 California-San Diego-C 1-11 122.22 31 Southwest Southwest Dev 419.15 -296.93 -0.71
397 30 California-Santa Barbara-B 2-9 107.16 31 Southwest Southwest Dev 384.67 -277.51 -0.72
407 25 California-Santa Cruz-B 1-6 -64.78 29 Southwest Southwest Dev 267.89 -332.68 -1.24
429 29 Arizona State-C 0-6 -283.98 31 Southwest Southwest Dev 316.02 -600 -1.9

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.