#45 Alabama (11-2)

avg: 1377.92  •  sd: 101.81  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
50 Central Florida Win 7-6 1475.15 Jan 25th Clutch Classic 2020
117 Georgia State Win 8-5 1103.97 Jan 25th Clutch Classic 2020
160 Belmont** Win 13-2 681.03 Ignored Jan 25th Clutch Classic 2020
43 Kennesaw State Win 8-4 1976.42 Jan 26th Clutch Classic 2020
4 Georgia Tech** Loss 1-11 1532.04 Ignored Jan 26th Clutch Classic 2020
72 Clemson Win 11-6 1711.07 Jan 26th Clutch Classic 2020
28 Vanderbilt Win 6-5 1743.86 Feb 15th Are we in love or just 2020
92 Tennessee Win 9-8 1011.26 Feb 15th Are we in love or just 2020
108 Alabama-Birmingham Win 8-7 882.86 Feb 15th Are we in love or just 2020
83 Auburn Win 8-5 1460 Feb 15th Are we in love or just 2020
86 Iowa State Win 13-5 1564.64 Feb 16th Are we in love or just 2020
28 Vanderbilt Loss 3-13 1018.86 Feb 16th Are we in love or just 2020
98 Alabama-Huntsville Win 11-3 1447.07 Feb 16th Are we in love or just 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)