#231 Alabama-Birmingham (8-16)

avg: 821.08  •  sd: 64.89  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
94 Kentucky Loss 10-12 1124.54 Jan 20th T Town Throwdown XIV Open
431 Alabama-B** Win 13-5 109.63 Ignored Jan 20th T Town Throwdown XIV Open
155 Vanderbilt Loss 7-13 555.27 Jan 20th T Town Throwdown XIV Open
23 Georgia Tech** Loss 2-13 1143.96 Ignored Jan 20th T Town Throwdown XIV Open
241 Harding Win 15-9 1302.86 Jan 21st T Town Throwdown XIV Open
97 Alabama Loss 9-15 832.44 Jan 21st T Town Throwdown XIV Open
259 Northern Illinois Win 7-6 877.4 Jan 21st T Town Throwdown XIV Open
352 Belmont Win 12-8 799.7 Feb 24th Music City Tune Up 2018
95 Purdue Loss 4-10 752.93 Feb 24th Music City Tune Up 2018
120 Mississippi State Loss 6-11 714.6 Feb 24th Music City Tune Up 2018
300 Southern Indiana Loss 10-11 460.41 Feb 24th Music City Tune Up 2018
23 Georgia Tech Loss 6-13 1143.96 Mar 10th Tally Classic XIII
224 Georgia Southern Loss 7-15 261.24 Mar 10th Tally Classic XIII
50 Notre Dame** Loss 4-13 939.28 Ignored Mar 10th Tally Classic XIII
46 South Carolina Loss 7-13 1021.83 Mar 10th Tally Classic XIII
81 Florida State Loss 4-13 808.72 Mar 10th Tally Classic XIII
272 Miami Loss 11-15 320.53 Mar 11th Tally Classic XIII
120 Mississippi State Loss 6-13 661.29 Mar 24th Magic City Invite 2018
375 Memphis Win 13-4 881.84 Mar 24th Magic City Invite 2018
242 Samford Win 13-5 1386.01 Mar 24th Magic City Invite 2018
335 Southern Mississippi Win 13-9 846.93 Mar 24th Magic City Invite 2018
154 Mississippi Loss 9-15 599.08 Mar 25th Magic City Invite 2018
97 Alabama Loss 6-15 747.93 Mar 25th Magic City Invite 2018
189 Georgia State Win 14-12 1200.77 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)