#53 Alabama-Huntsville (10-3)

avg: 1403.54  •  sd: 75.68  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
157 South Florida Win 11-4 1432.67 Jan 18th TTown Throwdown 2020 Open
218 Mississippi** Win 11-0 1046.01 Ignored Jan 18th TTown Throwdown 2020 Open
57 Illinois Loss 10-11 1254.88 Jan 18th TTown Throwdown 2020 Open
107 Jacksonville State Loss 10-11 945.82 Jan 18th TTown Throwdown 2020 Open
94 Central Florida Win 15-9 1665.66 Jan 19th TTown Throwdown 2020 Open
136 Mississippi State Win 11-7 1393.91 Jan 19th TTown Throwdown 2020 Open
76 Middle Tennessee State Loss 11-13 1015.25 Feb 8th Chattanooga Classic 2020
196 North Georgia** Win 13-5 1186.21 Ignored Feb 8th Chattanooga Classic 2020
181 Alabama-Birmingham Win 13-6 1255.45 Feb 8th Chattanooga Classic 2020
66 Tennessee-Chattanooga Win 11-7 1796.54 Feb 8th Chattanooga Classic 2020
76 Middle Tennessee State Win 14-12 1465.05 Feb 9th Chattanooga Classic 2020
116 Georgia State Win 12-9 1374.57 Feb 9th Chattanooga Classic 2020
72 Kentucky Win 13-8 1803.47 Feb 9th Chattanooga Classic 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)