#151 Georgia College (5-12)

avg: 703.93  •  sd: 100.46  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
122 Tulane Loss 1-12 319.01 Jan 25th Clutch Classic 2020
42 George Washington** Loss 2-13 942.77 Ignored Jan 25th Clutch Classic 2020
6 Georgia Tech** Loss 1-13 1532.31 Ignored Jan 25th Clutch Classic 2020
122 Tulane Loss 5-6 794.01 Jan 26th Clutch Classic 2020
147 Georgia State Win 7-5 1089.06 Jan 26th Clutch Classic 2020
103 Mississippi State Loss 5-9 525.58 Jan 26th Clutch Classic 2020
169 Florida-B Win 11-0 1134.58 Feb 15th 2nd Annual Royal Crown Classic
243 Emory-B-B** Win 11-0 205.97 Ignored Feb 15th 2nd Annual Royal Crown Classic
226 Florida Tech** Win 11-4 568.74 Ignored Feb 15th 2nd Annual Royal Crown Classic
141 LSU Loss 7-10 412.14 Feb 15th 2nd Annual Royal Crown Classic
165 Tennessee-Chattanooga Loss 4-7 60.96 Feb 16th 2nd Annual Royal Crown Classic
68 Virginia Tech Win 7-5 1621.49 Feb 29th TOTs 2020
64 Mississippi** Loss 3-8 719.43 Ignored Feb 29th TOTs 2020
94 Kentucky Loss 5-8 648.47 Feb 29th TOTs 2020
93 Tennessee Loss 6-13 507.96 Mar 1st TOTs 2020
127 Alabama-Huntsville Loss 9-11 652.15 Mar 1st TOTs 2020
71 Purdue Loss 4-8 716.94 Mar 1st TOTs 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)