#148 Virginia Tech (6-9)

avg: 1189.59  •  sd: 84.05  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
248 William & Mary-B** Win 13-1 1042.5 Ignored Feb 3rd Hucking and Shucking 2018
226 North Carolina-B Win 12-7 1209.87 Feb 3rd Hucking and Shucking 2018
169 Wake Forest University Win 10-8 1316.05 Feb 3rd Hucking and Shucking 2018
171 Catholic Win 12-5 1646.87 Feb 4th Hucking and Shucking 2018
169 Wake Forest University Loss 2-13 453.39 Feb 4th Hucking and Shucking 2018
135 William & Mary Win 11-7 1740.65 Feb 24th Commonwealth Cup 2018
62 Central Florida Loss 6-11 1252.18 Feb 24th Commonwealth Cup 2018
59 South Carolina Loss 6-12 1248.52 Feb 24th Commonwealth Cup 2018
74 Massachusetts Loss 6-12 1131.73 Feb 25th Commonwealth Cup 2018
139 Michigan State Win 10-8 1516.93 Feb 25th Commonwealth Cup 2018
123 MIT Loss 4-12 759.23 Feb 25th Commonwealth Cup 2018
134 Tennessee Loss 8-11 910.43 Mar 31st Easterns 2018
48 Georgia** Loss 4-15 1355.58 Ignored Mar 31st Easterns 2018
39 Clemson** Loss 1-15 1419.14 Ignored Mar 31st Easterns 2018
46 North Carolina-Wilmington** Loss 2-15 1378.21 Ignored Mar 31st Easterns 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)