#42 George Washington (11-3)

avg: 1542.77  •  sd: 83.58  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
122 Tulane** Win 11-4 1519.01 Ignored Jan 25th Clutch Classic 2020
6 Georgia Tech Loss 5-13 1532.31 Jan 25th Clutch Classic 2020
151 Georgia College** Win 13-2 1303.93 Ignored Jan 25th Clutch Classic 2020
103 Mississippi State Win 13-2 1654.64 Jan 25th Clutch Classic 2020
53 Kennesaw State Loss 4-5 1275.36 Jan 26th Clutch Classic 2020
78 Central Florida Loss 3-5 818.03 Jan 26th Clutch Classic 2020
92 Auburn Win 9-3 1717.81 Jan 26th Clutch Classic 2020
143 East Carolina** Win 12-5 1390.05 Ignored Feb 29th Cutlass Classic 2020
182 Charleston Win 9-5 991.15 Feb 29th Cutlass Classic 2020
98 North Georgia Win 9-5 1601.4 Feb 29th Cutlass Classic 2020
53 Kennesaw State Win 11-6 1947.05 Feb 29th Cutlass Classic 2020
111 Maryland Win 13-8 1513.76 Mar 1st Cutlass Classic 2020
134 Catholic** Win 11-4 1429.99 Ignored Mar 1st Cutlass Classic 2020
53 Kennesaw State Win 11-6 1947.05 Mar 1st Cutlass Classic 2020
**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)