#185 Alabama-Birmingham (9-10)

avg: 1031.96  •  sd: 67.78  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
322 Mississippi Win 10-4 1187.21 Jan 26th T Town Throwdown
103 Georgia State Loss 8-10 1085.71 Jan 26th T Town Throwdown
48 Kennesaw State Loss 8-13 1150.33 Jan 26th T Town Throwdown
132 Kentucky Loss 6-15 651.16 Jan 27th T Town Throwdown
296 LSU-B Win 15-7 1295.81 Jan 27th T Town Throwdown
167 Minnesota State-Mankato Win 11-9 1338.49 Mar 2nd Mardi Gras XXXII
430 Texas A&M-C** Win 11-4 535.79 Ignored Mar 2nd Mardi Gras XXXII
277 Texas-San Antonio Win 11-5 1369.49 Mar 2nd Mardi Gras XXXII
103 Georgia State Loss 6-11 801.68 Mar 2nd Mardi Gras XXXII
209 Trinity Win 13-7 1515.43 Mar 2nd Mardi Gras XXXII
36 Alabama** Loss 4-13 1123.14 Ignored Mar 3rd Mardi Gras XXXII
65 Florida Loss 1-11 935.75 Mar 3rd Mardi Gras XXXII
117 Jacksonville State Loss 4-11 692.5 Mar 23rd Magic City Invite 2019
322 Mississippi Win 11-10 712.21 Mar 23rd Magic City Invite 2019
196 Middle Tennessee State Win 11-5 1603.14 Mar 23rd Magic City Invite 2019
308 Alabama-B Win 11-6 1186.52 Mar 23rd Magic City Invite 2019
208 Berry Loss 9-11 709.57 Mar 23rd Magic City Invite 2019
159 Mississippi State Loss 8-10 863.14 Mar 24th Magic City Invite 2019
221 North Georgia Loss 11-13 692.93 Mar 24th Magic City Invite 2019
**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)