#36 Vanderbilt (12-3)

avg: 1673.28  •  sd: 93.63  •  top 16/20: 0.5%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
144 Tennessee** Win 13-4 1496.06 Ignored Jan 26th Clutch Classic 2019
25 Clemson Win 8-6 2172.77 Jan 26th Clutch Classic 2019
204 Georgia Southern** Win 13-0 1106.6 Ignored Jan 26th Clutch Classic 2019
87 Auburn Win 12-4 1835.26 Jan 27th Clutch Classic 2019
104 Boston College Win 10-6 1591.14 Jan 27th Clutch Classic 2019
18 South Carolina Loss 5-8 1517.81 Jan 27th Clutch Classic 2019
87 Auburn Win 8-6 1535.75 Feb 16th Luminous 2019
128 North Georgia** Win 10-2 1605.34 Ignored Feb 16th Luminous 2019
49 Emory Win 8-4 2083.23 Feb 16th Luminous 2019
254 Georgia Tech-B** Win 13-0 715.46 Ignored Feb 16th Luminous 2019
28 North Carolina State Loss 9-12 1428.29 Mar 30th I 85 Rodeo 2019
85 Dayton Win 12-4 1843.31 Mar 30th I 85 Rodeo 2019
105 Liberty Win 10-4 1687.19 Mar 30th I 85 Rodeo 2019
57 Cornell Loss 11-12 1335.62 Mar 31st I 85 Rodeo 2019
82 Georgetown Win 12-8 1707.62 Mar 31st I 85 Rodeo 2019
**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)