#124 John Brown (9-5)

avg: 991.11  •  sd: 78.91  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
197 Northern Iowa Win 13-9 1002.99 Feb 1st Big D in lil d 2020 Open
260 North Texas-B** Win 13-3 592.85 Ignored Feb 1st Big D in lil d 2020 Open
244 Tulsa** Win 13-5 801.1 Ignored Feb 1st Big D in lil d 2020 Open
180 Baylor Win 12-10 896.91 Feb 1st Big D in lil d 2020 Open
120 Oklahoma Win 12-8 1454.46 Feb 2nd Big D in lil d 2020 Open
78 Sul Ross State University Loss 6-15 636.97 Feb 2nd Big D in lil d 2020 Open
131 Colorado College Win 13-10 1275.67 Feb 2nd Big D in lil d 2020 Open
146 Colorado-B Win 14-11 1200.58 Feb 22nd Dust Bowl 2020
180 Baylor Win 15-8 1223.59 Feb 22nd Dust Bowl 2020
65 Texas State Loss 9-13 922.62 Feb 22nd Dust Bowl 2020
146 Colorado-B Win 15-10 1340.85 Feb 23rd Dust Bowl 2020
159 Texas Christian Loss 13-15 577.53 Feb 23rd Dust Bowl 2020
113 Nebraska Loss 12-14 816.37 Feb 23rd Dust Bowl 2020
111 Missouri Loss 7-11 579.87 Feb 23rd Dust Bowl 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)