#98 North Georgia (10-11)

avg: 1072.34  •  sd: 77.66  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
15 Florida** Loss 3-13 1378.2 Ignored Jan 18th Florida Winter Classic 2020
74 South Florida Loss 4-6 898.16 Jan 18th Florida Winter Classic 2020
7 Ohio State** Loss 3-11 1506.77 Ignored Jan 18th Florida Winter Classic 2020
56 North Carolina-Wilmington Win 11-5 1984.72 Jan 18th Florida Winter Classic 2020
31 Florida State Loss 1-15 1063.97 Jan 19th Florida Winter Classic 2020
169 Florida-B Win 15-4 1134.58 Jan 19th Florida Winter Classic 2020
7 Ohio State** Loss 1-15 1506.77 Ignored Jan 19th Florida Winter Classic 2020
56 North Carolina-Wilmington Loss 6-14 784.72 Jan 19th Florida Winter Classic 2020
230 FSU-B** Win 11-0 465.19 Ignored Feb 15th 2nd Annual Royal Crown Classic
220 Georgia Tech-B** Win 11-1 640.81 Ignored Feb 15th 2nd Annual Royal Crown Classic
74 South Florida Loss 7-8 1138.77 Feb 15th 2nd Annual Royal Crown Classic
213 Berry** Win 11-0 746.46 Ignored Feb 15th 2nd Annual Royal Crown Classic
165 Tennessee-Chattanooga Win 11-3 1157.12 Feb 15th 2nd Annual Royal Crown Classic
169 Florida-B Win 12-1 1134.58 Feb 16th 2nd Annual Royal Crown Classic
42 George Washington Loss 5-9 1013.71 Feb 29th Cutlass Classic 2020
143 East Carolina Win 13-2 1390.05 Feb 29th Cutlass Classic 2020
53 Kennesaw State Loss 2-9 800.36 Feb 29th Cutlass Classic 2020
134 Catholic Loss 6-7 704.99 Feb 29th Cutlass Classic 2020
143 East Carolina Win 12-8 1231.2 Mar 1st Cutlass Classic 2020
111 Maryland Loss 6-9 599.04 Mar 1st Cutlass Classic 2020
182 Charleston** Win 13-1 1062.09 Ignored Mar 1st Cutlass 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)