#204 Georgia Southern (7-10)

avg: 506.6  •  sd: 76.33  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
144 Tennessee Loss 1-12 296.06 Jan 26th Clutch Classic 2019
25 Clemson** Loss 2-13 1272.28 Ignored Jan 26th Clutch Classic 2019
36 Vanderbilt** Loss 0-13 1073.28 Ignored Jan 26th Clutch Classic 2019
211 Alabama-Huntsville Loss 7-13 -74.95 Jan 27th Clutch Classic 2019
261 Emory-B Win 5-3 476.07 Jan 27th Clutch Classic 2019
254 Georgia Tech-B Win 7-5 443.6 Jan 27th Clutch Classic 2019
265 Notre Dame-B Win 13-3 595.6 Mar 16th Tally Classic XIV
137 Illinois Loss 7-9 657.3 Mar 16th Tally Classic XIV
114 Minnesota-Duluth Loss 3-13 452.38 Mar 16th Tally Classic XIV
220 Florida Tech Win 13-4 992.07 Mar 16th Tally Classic XIV
265 Notre Dame-B Win 15-4 595.6 Mar 17th Tally Classic XIV
114 Minnesota-Duluth Loss 5-15 452.38 Mar 17th Tally Classic XIV
87 Auburn** Loss 4-13 635.26 Ignored Mar 23rd College Southerns XVIII
261 Emory-B Win 9-2 657.5 Mar 23rd College Southerns XVIII
122 Georgia College Loss 4-10 423.21 Mar 23rd College Southerns XVIII
261 Emory-B Win 9-5 586.56 Mar 24th College Southerns XVIII
149 Luther Loss 4-14 269.27 Mar 24th College Southerns XVIII
**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)