#220 North Georgia (5-7)

avg: 749.3  •  sd: 105.63  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
301 North Florida Loss 7-12 -201.64 Jan 25th Clutch Classic 2020
191 Georgia College Win 13-11 1098.66 Jan 25th Clutch Classic 2020
197 Georgia Southern Loss 8-9 711.26 Jan 25th Clutch Classic 2020
215 Saint Louis Win 11-7 1238.59 Jan 25th Clutch Classic 2020
300 Belmont University Win 11-4 939.97 Jan 26th Clutch Classic 2020
215 Saint Louis Win 10-9 896.7 Jan 26th Clutch Classic 2020
175 Alabama-Birmingham Loss 9-12 587.04 Feb 8th Chattanooga Classic 2020
49 Alabama-Huntsville** Loss 5-13 900.69 Ignored Feb 8th Chattanooga Classic 2020
70 Middle Tennessee State Loss 7-13 819.46 Feb 8th Chattanooga Classic 2020
65 Tennessee-Chattanooga** Loss 1-13 795.9 Ignored Feb 8th Chattanooga Classic 2020
175 Alabama-Birmingham Win 11-10 1057.4 Feb 9th Chattanooga Classic 2020
161 Georgia State Loss 6-15 388.49 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)