#48 California-Santa Barbara (6-9)

avg: 1393.2  •  sd: 68.81  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
18 Brigham Young Loss 10-13 1418.46 Jan 26th Santa Barbara Invite 2024
113 Cal Poly-SLO-B Win 15-6 1575.1 Jan 27th Santa Barbara Invite 2024
11 California Loss 6-15 1255.94 Jan 27th Santa Barbara Invite 2024
27 Utah Loss 9-12 1285.01 Jan 27th Santa Barbara Invite 2024
53 Colorado State Loss 7-15 761.4 Jan 27th Santa Barbara Invite 2024
59 Chicago Win 13-10 1643.09 Jan 28th Santa Barbara Invite 2024
79 Northwestern Win 14-11 1504.28 Jan 28th Santa Barbara Invite 2024
6 Oregon Loss 8-12 1519.81 Feb 17th Presidents Day Invite 2024
17 UCLA Loss 8-11 1399.24 Feb 17th Presidents Day Invite 2024
32 Victoria Win 11-9 1814.5 Feb 17th Presidents Day Invite 2024
106 California-Irvine Win 12-7 1535.08 Feb 18th Presidents Day Invite 2024
39 California-San Diego Loss 8-12 1070.9 Feb 18th Presidents Day Invite 2024
24 British Columbia Loss 7-9 1425.81 Feb 18th Presidents Day Invite 2024
41 California-Santa Cruz Win 11-10 1615.68 Feb 19th Presidents Day Invite 2024
64 Stanford Loss 7-9 994.4 Feb 19th Presidents Day Invite 2024
**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)