#9 Georgia (8-4)

avg: 1949.28  •  sd: 81.28  •  top 16/20: 94.3%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
1 North Carolina Loss 7-11 1878.44 Feb 3rd Queen City Tune Up 2018 College Open
12 North Carolina State Loss 9-11 1669.65 Feb 3rd Queen City Tune Up 2018 College Open
28 Carnegie Mellon Win 11-7 2185.55 Feb 3rd Queen City Tune Up 2018 College Open
62 Vermont Win 11-5 2065.83 Feb 3rd Queen City Tune Up 2018 College Open
22 Tufts Loss 9-10 1625.18 Feb 3rd Queen City Tune Up 2018 College Open
52 Harvard Win 13-11 1764.85 Mar 10th Tally Classic XIII
120 Mississippi State** Win 13-4 1861.29 Ignored Mar 10th Tally Classic XIII
46 South Carolina Win 15-7 2179.36 Mar 10th Tally Classic XIII
272 Miami** Win 13-2 1301.69 Ignored Mar 10th Tally Classic XIII
98 Clemson** Win 13-3 1938.04 Ignored Mar 10th Tally Classic XIII
16 North Carolina-Wilmington Loss 14-15 1759.51 Mar 11th Tally Classic XIII
8 Massachusetts Win 15-11 2344.93 Mar 11th Tally Classic XIII
**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)