#130 Mississippi State (6-9)

avg: 1292.44  •  sd: 91.19  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
231 Tulane** Win 10-4 1239.41 Ignored Jan 27th Clutch Classic 2018
40 Kennesaw State** Loss 4-13 1417.59 Ignored Jan 27th Clutch Classic 2018
237 Georgia Tech-B Win 8-5 1028.13 Jan 27th Clutch Classic 2018
267 Emory-B** Win 11-1 506.06 Ignored Jan 27th Clutch Classic 2018
107 LSU Loss 7-9 1186.85 Jan 28th Clutch Classic 2018
116 Alabama Win 13-7 1959.21 Jan 28th Clutch Classic 2018
84 Emory Loss 7-9 1336.87 Jan 28th Clutch Classic 2018
253 Union** Win 11-2 981.85 Ignored Mar 3rd T Town Throwdown 2018
82 Mississippi Loss 3-9 1024.71 Mar 3rd T Town Throwdown 2018
84 Emory Loss 7-8 1491.21 Mar 3rd T Town Throwdown 2018
153 Tennessee-Chattanooga Win 11-8 1531.56 Mar 4th T Town Throwdown 2018
84 Emory Loss 2-13 1016.21 Mar 4th T Town Throwdown 2018
116 Alabama Loss 4-9 801.68 Mar 24th Starkville Showdown 2018
23 Auburn Loss 5-10 1634.95 Mar 24th Starkville Showdown 2018
82 Mississippi Loss 6-9 1206.15 Mar 24th Starkville Showdown 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)