#221 North Georgia (9-4)

avg: 921.77  •  sd: 84.96  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
418 South Florida-B** Win 11-4 700.43 Ignored Mar 16th Tally Classic XIV
377 Stetson Win 11-9 602.59 Mar 16th Tally Classic XIV
227 Florida State-B Loss 9-11 666.13 Mar 16th Tally Classic XIV
429 Columbus State** Win 11-1 571.58 Ignored Mar 16th Tally Classic XIV
369 Notre Dame-B Win 11-6 928.55 Mar 16th Tally Classic XIV
295 Embry-Riddle (Florida) Win 13-12 820.98 Mar 17th Tally Classic XIV
246 Florida-B Win 15-12 1175.91 Mar 17th Tally Classic XIV
263 Georgia Tech-B Loss 9-15 298.46 Mar 17th Tally Classic XIV
251 Samford Win 13-7 1408.86 Mar 23rd Magic City Invite 2019
159 Mississippi State Loss 11-13 896.97 Mar 23rd Magic City Invite 2019
285 Troy Win 13-12 854.84 Mar 23rd Magic City Invite 2019
117 Jacksonville State Loss 12-13 1167.5 Mar 24th Magic City Invite 2019
185 Alabama-Birmingham Win 13-11 1260.8 Mar 24th Magic City Invite 2019
**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)