#303 Charleston (5-18)

avg: 571.48  •  sd: 50.25  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
149 Davidson Loss 3-11 540.86 Jan 27th Joint Summit XXXIII College Open
116 Appalachian State Loss 9-11 1025.25 Jan 27th Joint Summit XXXIII College Open
185 Georgia-B Loss 2-11 383.95 Jan 27th Joint Summit XXXIII College Open
122 Tennessee Loss 6-11 708.85 Jan 27th Joint Summit XXXIII College Open
347 Radford Win 13-8 874.44 Feb 17th Chucktown Throwdown XV
249 North Greenville Loss 4-11 169.37 Feb 17th Chucktown Throwdown XV
272 Miami Win 7-4 1197.85 Feb 17th Chucktown Throwdown XV
122 Tennessee Loss 6-12 676.24 Feb 17th Chucktown Throwdown XV
223 High Point Loss 7-11 396.2 Feb 18th Chucktown Throwdown XV
193 Liberty Loss 7-10 576.83 Feb 18th Chucktown Throwdown XV
418 Kennesaw State-B** Win 13-5 445.2 Ignored Mar 3rd Cola Classic 2018
280 South Carolina-B Loss 9-10 540.42 Mar 3rd Cola Classic 2018
125 Georgia College Loss 8-13 719.65 Mar 3rd Cola Classic 2018
174 East Carolina Loss 8-12 591.27 Mar 3rd Cola Classic 2018
242 Samford Loss 7-9 506.67 Mar 4th Cola Classic 2018
295 Georgia Tech-B Loss 9-11 347.39 Mar 4th Cola Classic 2018
248 North Georgia Win 13-12 899.33 Mar 17th College Southerns 2018
224 Georgia Southern Loss 10-13 533.1 Mar 17th College Southerns 2018
125 Georgia College** Loss 4-13 615.81 Ignored Mar 17th College Southerns 2018
340 Stetson Win 11-10 535.63 Mar 17th College Southerns 2018
248 North Georgia Loss 8-10 511.66 Mar 18th College Southerns 2018
224 Georgia Southern Loss 6-13 261.24 Mar 18th College Southerns 2018
340 Stetson Loss 9-10 285.63 Mar 18th College Southerns 2018
**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)