#30 California (11-19)

avg: 1497.82  •  sd: 53.26  •  top 16/20: 2.1%

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# Opponent Result Game Rating Status Date Event
59 California-Santa Cruz Win 13-8 1769.76 Jan 28th Santa Barbara Invitational 2023
4 Carleton College** Loss 6-15 1638.71 Ignored Jan 28th Santa Barbara Invitational 2023
71 Northwestern Win 7-5 1445.19 Jan 28th Santa Barbara Invitational 2023
50 Wisconsin Win 13-9 1773.26 Jan 28th Santa Barbara Invitational 2023
12 California-Santa Barbara Loss 7-12 1363.7 Jan 29th Santa Barbara Invitational 2023
23 California-Davis Loss 8-9 1435.72 Jan 29th Santa Barbara Invitational 2023
81 Utah Win 9-8 1168.33 Jan 29th Santa Barbara Invitational 2023
6 Colorado Loss 7-13 1632.01 Feb 18th President’s Day Invite
61 Cal Poly-SLO Loss 7-9 926.93 Feb 18th President’s Day Invite
81 Utah Win 13-3 1643.33 Feb 18th President’s Day Invite
23 California-Davis Loss 5-12 960.72 Feb 18th President’s Day Invite
19 California-San Diego Loss 6-10 1156.97 Feb 19th President’s Day Invite
11 Oregon Loss 5-14 1361.46 Feb 19th President’s Day Invite
35 UCLA Loss 6-10 960.33 Feb 19th President’s Day Invite
95 Southern California Win 10-7 1318.81 Feb 20th President’s Day Invite
61 Cal Poly-SLO Win 9-7 1485.6 Feb 20th President’s Day Invite
8 Stanford Loss 5-10 1486.55 Mar 11th Stanford Invite Womens
7 Brigham Young Loss 5-11 1565.18 Mar 11th Stanford Invite Womens
27 Western Washington Loss 7-8 1402.65 Mar 11th Stanford Invite Womens
12 California-Santa Barbara Win 7-5 2212.35 Mar 11th Stanford Invite Womens
8 Stanford Loss 7-10 1670.78 Mar 12th Stanford Invite Womens
6 Colorado** Loss 4-11 1589.54 Ignored Mar 12th Stanford Invite Womens
11 Oregon Loss 8-11 1595.85 Mar 12th Stanford Invite Womens
10 Northeastern Loss 8-13 1508.86 Mar 18th Womens Centex1
18 Colorado State Loss 7-13 1104.93 Mar 18th Womens Centex1
46 Pennsylvania Win 13-7 1927.36 Mar 18th Womens Centex1
29 Ohio State Win 12-10 1749.36 Mar 19th Womens Centex1
50 Wisconsin Win 13-8 1850.85 Mar 19th Womens Centex1
10 Northeastern Loss 6-15 1405.01 Mar 19th Womens Centex1
15 Virginia Loss 13-14 1679.9 Mar 19th Womens Centex1
**Blowout Eligible

FAQ

What is the uncertainty of the mean?
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
What's the algorithm again?
  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
Is there a longer explanation of all this?
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)