#17 California-Santa Barbara (20-9)

avg: 2320.26  •  sd: 50.5  •  top 16/20: 91.5%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
26 California Loss 9-11 1884.02 Jan 27th Santa Barbara Invitational 2018
61 California-Davis Win 13-5 2417.92 Jan 27th Santa Barbara Invitational 2018
38 Victoria Win 13-8 2516.36 Jan 27th Santa Barbara Invitational 2018
63 Arizona Win 13-3 2386.23 Jan 27th Santa Barbara Invitational 2018
2 California-San Diego Loss 3-13 2132.82 Jan 28th Santa Barbara Invitational 2018
38 Victoria Win 11-10 2145.2 Jan 28th Santa Barbara Invitational 2018
35 Cal Poly-SLO Win 13-12 2161.55 Jan 28th Santa Barbara Invitational 2018
111 California-Irvine** Win 13-4 2033.34 Ignored Feb 3rd 2018 Presidents Day Qualifying Tournament
120 California-San Diego-B** Win 13-0 1978.7 Ignored Feb 3rd 2018 Presidents Day Qualifying Tournament
73 San Diego State Win 13-5 2323.73 Feb 3rd 2018 Presidents Day Qualifying Tournament
63 Arizona Win 13-5 2386.23 Feb 3rd 2018 Presidents Day Qualifying Tournament
164 UCLA-B** Win 13-4 1706.29 Ignored Feb 4th 2018 Presidents Day Qualifying Tournament
100 Arizona State** Win 13-2 2106.24 Ignored Feb 4th 2018 Presidents Day Qualifying Tournament
35 Cal Poly-SLO Win 13-10 2364.69 Feb 4th 2018 Presidents Day Qualifying Tournament
16 Western Washington Loss 9-13 1925.82 Feb 17th Presidents Day Invitational Tournament 2018
11 Texas Win 10-9 2596.75 Feb 17th Presidents Day Invitational Tournament 2018
61 California-Davis Win 13-5 2417.92 Feb 17th Presidents Day Invitational Tournament 2018
22 Minnesota Win 11-7 2695.72 Feb 17th Presidents Day Invitational Tournament 2018
55 Iowa State Win 14-7 2429.34 Feb 18th Presidents Day Invitational Tournament 2018
5 Oregon Loss 6-15 2010.52 Feb 18th Presidents Day Invitational Tournament 2018
4 Stanford Loss 6-9 2276.95 Feb 18th Presidents Day Invitational Tournament 2018
33 UCLA Win 11-4 2662.69 Feb 19th Presidents Day Invitational Tournament 2018
5 Oregon Loss 6-11 2063.83 Feb 19th Presidents Day Invitational Tournament 2018
2 California-San Diego Loss 11-14 2419.48 Mar 24th NW Challenge 2018
36 Colorado College Win 15-7 2633.18 Mar 24th NW Challenge 2018
35 Cal Poly-SLO Win 15-5 2636.55 Mar 24th NW Challenge 2018
38 Victoria Win 14-9 2494.07 Mar 24th NW Challenge 2018
16 Western Washington Loss 10-14 1945.68 Mar 25th NW Challenge 2018
6 British Columbia Loss 7-15 1960.13 Mar 25th NW Challenge 2018
**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)