#133 Loyola Marymount (9-2)

avg: 1110.24  •  sd: 117.94  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
202 California-B Win 11-4 1426.52 Jan 20th Pres Day Quals
329 California-San Diego-C** Win 13-2 775.16 Ignored Jan 20th Pres Day Quals
212 San Diego State Win 9-5 1299.98 Jan 21st Pres Day Quals
164 UCLA-B Win 10-7 1361.25 Jan 21st Pres Day Quals
194 California-Davis Loss 7-8 723.06 Feb 3rd Stanford Open 2024
307 Chico State** Win 13-2 917.96 Ignored Feb 3rd Stanford Open 2024
160 Santa Clara Loss 4-9 393.03 Feb 3rd Stanford Open 2024
273 Nevada-Reno Win 13-6 1106.96 Mar 24th Southwest Showdown 2024
297 Occidental** Win 15-1 965.99 Ignored Mar 24th Southwest Showdown 2024
212 San Diego State Win 13-7 1328.46 Mar 24th Southwest Showdown 2024
371 San Diego State-B** Win 15-3 334.38 Ignored Mar 24th Southwest Showdown 2024
**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)