#180 Georgia State (6-9)

avg: 630.73  •  sd: 83.62  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
211 Alabama-Huntsville Win 11-4 1082.58 Jan 26th Clutch Classic 2019
98 Mississippi State Loss 3-9 528.15 Jan 26th Clutch Classic 2019
104 Boston College Loss 2-11 494.98 Jan 26th Clutch Classic 2019
93 Kennesaw State Loss 3-13 588.04 Jan 26th Clutch Classic 2019
139 Tennessee-Chattanooga Win 8-6 1231.57 Jan 27th Clutch Classic 2019
189 Tulane Win 8-7 718.98 Jan 27th Clutch Classic 2019
144 Tennessee Loss 3-7 296.06 Feb 16th Luminous 2019
261 Emory-B Win 11-0 657.5 Feb 16th Luminous 2019
93 Kennesaw State Loss 1-9 588.04 Feb 16th Luminous 2019
18 South Carolina** Loss 0-11 1371.42 Ignored Feb 16th Luminous 2019
143 Alabama Loss 8-10 634.84 Mar 23rd T town Throwdown Women
249 Alabama-Birmingham Win 12-4 752.77 Mar 23rd T town Throwdown Women
214 Mississippi Loss 5-7 117.49 Mar 24th T town Throwdown Women
98 Mississippi State Loss 7-15 528.15 Mar 24th T town Throwdown Women
247 Southern Indiana Win 8-3 762.58 Mar 24th T town Throwdown Women
**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)