#261 Emory-B (2-21)

avg: 57.5  •  sd: 126.87  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
139 Tennessee-Chattanooga Loss 4-8 366.27 Jan 26th Clutch Classic 2019
18 South Carolina** Loss 0-13 1371.42 Ignored Jan 26th Clutch Classic 2019
102 LSU** Loss 3-8 519.43 Ignored Jan 26th Clutch Classic 2019
211 Alabama-Huntsville Loss 7-9 203.24 Jan 27th Clutch Classic 2019
254 Georgia Tech-B Loss 2-9 -484.54 Jan 27th Clutch Classic 2019
204 Georgia Southern Loss 3-5 88.04 Jan 27th Clutch Classic 2019
139 Tennessee-Chattanooga** Loss 2-11 331.07 Ignored Feb 2nd Royal Crown Classic 2019
25 Clemson** Loss 1-11 1272.28 Ignored Feb 2nd Royal Crown Classic 2019
115 South Florida** Loss 0-11 450.61 Ignored Feb 2nd Royal Crown Classic 2019
225 Florida-B Win 7-6 487.25 Feb 2nd Royal Crown Classic 2019
143 Alabama** Loss 2-10 297.51 Ignored Feb 3rd Royal Crown Classic 2019
143 Alabama** Loss 5-13 297.51 Ignored Feb 3rd Royal Crown Classic 2019
25 Clemson** Loss 1-13 1272.28 Ignored Feb 3rd Royal Crown Classic 2019
144 Tennessee** Loss 3-9 296.06 Ignored Feb 16th Luminous 2019
18 South Carolina** Loss 0-13 1371.42 Ignored Feb 16th Luminous 2019
180 Georgia State Loss 0-11 30.73 Feb 16th Luminous 2019
93 Kennesaw State** Loss 0-13 588.04 Ignored Feb 16th Luminous 2019
87 Auburn** Loss 0-13 635.26 Ignored Mar 23rd College Southerns XVIII
122 Georgia College** Loss 2-13 423.21 Ignored Mar 23rd College Southerns XVIII
204 Georgia Southern Loss 2-9 -93.4 Mar 23rd College Southerns XVIII
128 North Georgia** Loss 1-15 405.34 Ignored Mar 24th College Southerns XVIII
204 Georgia Southern Loss 5-9 -22.46 Mar 24th College Southerns XVIII
- Charleston Win 8-7 63.98 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)