College Men's USAU Rankings (SW)

2018-19 Season

Data Updated Through April 1st at 10:30am PST. Note that the USAU Preliminary Rankings released Tuesday morning differ slightly, likely due to recently applied game exclusions due to roster validity (unknown until today)

FAQ
Division I // Division III
Rank    Change Team                                                 Record Rating Change Region Conference Div   SoS PDC %
5 1 Cal Poly-SLO SW 1 24-4 2144.46 29 Southwest SoCal DI D-I 1830.1 314.36 0.17
16 1 Southern California SW 2 14-4 1976.15 5 Southwest SoCal DI D-I 1651.02 325.13 0.2
21 3 California 18-10 1843.46 30 Southwest NorCal DI D-I 1805.29 38.17 0.02
34 6 UCLA 13-9 1728.73 23 Southwest SoCal DI D-I 1615.87 112.85 0.07
41 4 Las Positas 5-1 1678.54 2 Southwest NorCal DI D-I 1361.12 317.41 0.23
45 22 California-Santa Barbara 8-12 1663.25 127 Southwest SoCal DI D-I 1795.01 -131.75 -0.07
50 1 Stanford 8-16 1632.74 25 Southwest NorCal DI D-I 1750.98 -118.24 -0.07
56 2 California-San Diego 10-8 1592.76 17 Southwest SoCal DI D-I 1565.48 27.29 0.02
74 1 Arizona 9-9 1479.09 9 Southwest Desert DI D-I 1426.77 52.32 0.04
90 7 Santa Clara 6-13 1386.86 20 Southwest NorCal DI D-I 1599.44 -212.58 -0.13
93 8 California-Davis 6-5 1377.55 27 Southwest NorCal DI D-I 1427.96 -50.42 -0.04
100 California-Santa Cruz 11-11 1358.77 2 Southwest NorCal DI D-I 1303.34 55.43 0.04
116 Nevada-Reno 10-8 1293.72 9 Southwest NorCal DI D-I 1307.3 -13.58 -0.01
123 30 New Mexico 14-4 1279.41 154 Southwest Desert DI D-I 1004.41 275 0.27
164 9 Arizona State 6-5 1103.22 17 Southwest Desert DI D-I 1188.91 -85.68 -0.07
169 13 Chico State 12-5 1084.3 33 Southwest NorCal DI D-I 978.61 105.69 0.11
180 13 Humboldt State 4-7 1058.43 14 Southwest NorCal DI D-I 1218.12 -159.69 -0.13
184 3 California-B 7-4 1032.51 22 Southwest Southwest Dev Dev 960.02 72.5 0.08
199 2 Claremont 5-4 996.34 37 Southwest Southwest DIII D-III 936.55 59.79 0.06
202 10 Northern Arizona 12-7 973.07 64 Southwest Desert DI D-I 891.89 81.18 0.09
216 4 Occidental 8-7 927.34 55 Southwest Southwest DIII D-III 867.1 60.24 0.07
222 4 Grand Canyon 10-5 919.88 43 Southwest Desert DI D-I 863.82 56.06 0.06
254 13 Cal Poly-Pomona 10-10 840.19 31 Southwest SoCal DI D-I 837.14 3.05 0
261 12 Cal Poly-SLO-B 8-8 821.14 43 Southwest Southwest Dev D-I 773.79 47.35 0.06
265 17 Cal State-Long Beach 8-4 800.7 22 Southwest SoCal DI D-I 814.54 -13.84 -0.02
271 15 San Diego State 4-9 780.82 38 Southwest SoCal DI D-I 867.42 -86.59 -0.1
272 3 Arizona State-B 14-9 776.47 70 Southwest Southwest Dev Dev 647.93 128.54 0.2
328 23 Caltech 2-5 564.78 49 Southwest Southwest DIII D-III 839.33 -274.55 -0.33
- Sacramento State 0-3 550.62 37 Southwest NorCal DI D-I 878.96 -328.34 -0.37
- Sonoma State 0-3 510.53 32 Southwest NorCal DI D-I 1110.53 -600 -0.54
344 17 California-Irvine 6-10 506.27 103 Southwest SoCal DI D-I 691.77 -185.5 -0.27
353 31 California-San Diego-B 6-9 475.68 53 Southwest Southwest Dev Dev 637.07 -161.39 -0.25
357 33 San Jose State 2-7 448.54 39 Southwest NorCal DI D-I 596.06 -147.52 -0.25
388 31 Arizona-B 4-8 280.79 33 Southwest Southwest Dev Dev 375.44 -94.65 -0.25
395 32 California-San Diego-C 2-3 259.32 58 Southwest Southwest Dev Dev 339.12 -79.81 -0.24
400 33 Arizona State-C 1-6 221.92 67 Southwest Southwest Dev Dev 462.67 -240.75 -0.52
407 35 California-Santa Barbara-B 2-4 184.86 69 Southwest Southwest Dev Dev 16.92 167.95 9.93
414 37 UCLA-B 3-4 131.49 52 Southwest Southwest Dev Dev -101.48 232.97 -2.3
425 51 Cal State-Fullerton 1-6 20.63 90 Southwest SoCal DI D-I 336.15 -315.53 -0.94
431 43 Cal Poly-SLO-C 1-6 -80.16 48 Southwest Southwest Dev Dev 264.2 -344.37 -1.3
434 42 Southern California-B 2-11 -210.29 36 Southwest Southwest Dev Dev 50.47 -260.76 -5.17
444 46 California-Irvine-B 0-7 -587.01 52 Southwest Southwest Dev Dev 12.99 -600 -46.19

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.