#23 California (22-10)

avg: 1917.92  •  sd: 74.93  •  top 16/20: 38%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
32 Brigham Young Win 13-4 2310.48 Jan 26th Santa Barbara Invite 2019
84 Victoria Win 13-9 1663.92 Jan 26th Santa Barbara Invite 2019
15 Wisconsin Loss 10-13 1693.81 Jan 26th Santa Barbara Invite 2019
2 California-San Diego Loss 3-13 1819.06 Jan 26th Santa Barbara Invite 2019
21 Cal Poly-SLO Loss 7-10 1553.93 Jan 27th Santa Barbara Invite 2019
4 California-Santa Barbara Loss 9-13 1861.92 Jan 27th Santa Barbara Invite 2019
13 Stanford Loss 9-13 1637.07 Jan 27th Santa Barbara Invite 2019
77 Cal State-Long Beach Win 9-6 1700.38 Feb 2nd Presidents Day Qualifiers Women
250 California-Davis-B** Win 13-1 747.51 Ignored Feb 2nd Presidents Day Qualifiers Women
232 California-Irvine** Win 13-0 886.61 Ignored Feb 2nd Presidents Day Qualifiers Women
224 Sonoma State** Win 13-1 963.71 Ignored Feb 3rd Presidents Day Qualifiers Women
107 Chico State** Win 12-3 1676.39 Ignored Feb 3rd Presidents Day Qualifiers Women
39 California-Davis Win 9-8 1718.28 Feb 3rd Presidents Day Qualifiers Women
16 Oregon Loss 9-10 1892.73 Feb 16th Presidents Day Invite 2019
17 Vermont Loss 8-9 1888.2 Feb 16th Presidents Day Invite 2019
86 San Diego State** Win 8-2 1842.2 Ignored Feb 17th Presidents Day Invite 2019
108 Southern California Win 7-4 1568.61 Feb 17th Presidents Day Invite 2019
30 Utah Win 8-4 2323.68 Feb 18th Presidents Day Invite 2019
19 UCLA Loss 5-8 1512.25 Feb 18th Presidents Day Invite 2019
6 British Columbia Win 10-9 2356.77 Mar 2nd Stanford Invite 2019
21 Cal Poly-SLO Win 8-4 2508.4 Mar 2nd Stanford Invite 2019
38 Florida Win 11-9 1860.32 Mar 2nd Stanford Invite 2019
14 Colorado Loss 7-11 1579.96 Mar 3rd Stanford Invite 2019
21 Cal Poly-SLO Win 11-9 2192.8 Mar 3rd Stanford Invite 2019
19 UCLA Loss 7-9 1686.52 Mar 3rd Stanford Invite 2019
158 Claremont** Win 13-1 1426.85 Ignored Mar 30th 2019 NW Challenge Tier 2 3
123 Boise State** Win 13-5 1619.37 Ignored Mar 30th 2019 NW Challenge Tier 2 3
55 Portland Win 13-3 2087.97 Mar 30th 2019 NW Challenge Tier 2 3
68 Lewis & Clark Win 13-1 1930.23 Mar 30th 2019 NW Challenge Tier 2 3
129 Pacific Lutheran** Win 13-1 1599.54 Ignored Mar 31st 2019 NW Challenge Tier 2 3
55 Portland Win 13-1 2087.97 Mar 31st 2019 NW Challenge Tier 2 3
54 Puget Sound Win 13-3 2092.13 Mar 31st 2019 NW Challenge Tier 2 3
**Blowout Eligible

FAQ

The uncertainty of the mean is equal to the standard deviation of the set of game ratings, divided by the square root of the number of games. We treated a team’s ranking as a normally distributed random variable, with the USAU ranking as the mean and the uncertainty of the ranking as the standard deviation
  1. Calculate uncertainy for USAU ranking averge
  2. Model ranking as a normal distribution around USAU averge with standard deviation equal to uncertainty
  3. Simulate seasons by drawing a rank for each team from their distribution. Note the teams in the top 16 (club) or top 20 (college)
  4. Sum the fractions for each region for how often each of it's teams appeared in the top 16 (club) or top 20 (college)
  5. Subtract one from each fraction for "autobids"
  6. Award remainings bids to the regions with the highest remaining fraction, subtracting one from the fraction each time a bid is awarded
There is an article on Ulitworld written by Scott Dunham and I that gives a little more context (though it probably was the thing that linked you here)