#335 Southern Mississippi (2-12)

avg: 428.37  •  sd: 91.33  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
66 Kennesaw State** Loss 4-13 858.01 Ignored Jan 20th T Town Throwdown XIV Open
97 Alabama Loss 8-11 982.32 Jan 20th T Town Throwdown XIV Open
153 Xavier** Loss 5-12 515.49 Ignored Jan 20th T Town Throwdown XIV Open
396 Kentucky-B Win 13-6 709.63 Jan 21st T Town Throwdown XIV Open
264 LSU-B Loss 3-11 134.8 Jan 21st T Town Throwdown XIV Open
259 Northern Illinois Loss 7-15 152.4 Jan 21st T Town Throwdown XIV Open
231 Alabama-Birmingham Loss 9-13 402.51 Mar 24th Magic City Invite 2018
242 Samford Loss 4-13 186.01 Mar 24th Magic City Invite 2018
375 Memphis Loss 11-13 53 Mar 24th Magic City Invite 2018
189 Georgia State Loss 5-13 379.81 Mar 24th Magic City Invite 2018
244 Berry Win 13-11 1012.48 Mar 25th Magic City Invite 2018
120 Mississippi State Loss 7-13 703.76 Mar 25th Magic City Invite 2018
155 Vanderbilt Loss 7-13 555.27 Mar 25th Magic City Invite 2018
317 Troy University Loss 4-11 -80.14 Mar 25th Magic City Invite 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)