#196 Middle Tennessee State (12-6)

avg: 1003.14  •  sd: 67.48  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
233 Belmont Win 13-8 1403.8 Feb 16th Music City Tune Up 2019
160 Vanderbilt Win 9-7 1403.72 Feb 16th Music City Tune Up 2019
274 Union (Tennessee) Win 12-10 1009.74 Feb 16th Music City Tune Up 2019
- Vanderbilt University -B** Win 13-5 860.86 Ignored Feb 16th Music City Tune Up 2019
105 Iowa Loss 7-12 816.85 Mar 16th Shamrock Showdown 2019
386 Southern Indiana Win 11-8 653.1 Mar 16th Shamrock Showdown 2019
226 Miami (Ohio) Loss 10-12 678.33 Mar 16th Shamrock Showdown 2019
269 Ball State Win 12-6 1364.77 Mar 16th Shamrock Showdown 2019
105 Iowa Loss 6-15 737.36 Mar 17th Shamrock Showdown 2019
229 Missouri Win 12-11 1038.85 Mar 17th Shamrock Showdown 2019
160 Vanderbilt Loss 10-11 999.38 Mar 17th Shamrock Showdown 2019
117 Jacksonville State Loss 7-11 825.6 Mar 23rd Magic City Invite 2019
322 Mississippi Win 11-6 1133.91 Mar 23rd Magic City Invite 2019
208 Berry Win 11-6 1505.48 Mar 23rd Magic City Invite 2019
308 Alabama-B Win 11-6 1186.52 Mar 23rd Magic City Invite 2019
185 Alabama-Birmingham Loss 5-11 431.96 Mar 23rd Magic City Invite 2019
308 Alabama-B Win 13-10 967.96 Mar 24th Magic City Invite 2019
208 Berry Win 14-13 1083.78 Mar 24th Magic City Invite 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)