#74 California-San Diego-B (4-8)

avg: 1034.78  •  sd: 57.49  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
49 Carleton College-Eclipse Loss 6-7 1206.2 Feb 3rd Stanford Open 2024
88 Claremont Win 6-5 1000.69 Feb 3rd Stanford Open 2024
126 Cal Poly-SLO-B Win 9-5 824.62 Feb 3rd Stanford Open 2024
- UCLA-B** Win 13-3 600 Ignored Feb 3rd Stanford Open 2024
10 Colorado** Loss 5-14 1384.02 Ignored Feb 17th Presidents Day Invite 2024
48 California Loss 9-10 1218.04 Feb 17th Presidents Day Invite 2024
23 Western Washington** Loss 1-15 1110.16 Ignored Feb 17th Presidents Day Invite 2024
62 Southern California Loss 8-11 848.5 Feb 18th Presidents Day Invite 2024
27 California-Davis Loss 6-11 1114.81 Feb 18th Presidents Day Invite 2024
30 UCLA Loss 5-9 1078.42 Feb 18th Presidents Day Invite 2024
62 Southern California Loss 8-10 951.45 Feb 19th Presidents Day Invite 2024
108 Denver Win 9-6 1066.89 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)