#97 Alabama (17-8)

avg: 1347.93  •  sd: 49.65  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
66 Kennesaw State Loss 7-12 937.5 Jan 20th T Town Throwdown XIV Open
264 LSU-B Win 11-9 984 Jan 20th T Town Throwdown XIV Open
153 Xavier Loss 12-13 990.49 Jan 20th T Town Throwdown XIV Open
335 Southern Mississippi Win 11-8 793.97 Jan 20th T Town Throwdown XIV Open
154 Mississippi Win 15-8 1679.37 Jan 21st T Town Throwdown XIV Open
231 Alabama-Birmingham Win 15-9 1336.56 Jan 21st T Town Throwdown XIV Open
155 Vanderbilt Win 6-4 1478.41 Jan 21st T Town Throwdown XIV Open
94 Kentucky Loss 8-10 1100 Feb 24th Music City Tune Up 2018
229 Toledo Win 13-4 1432.38 Feb 24th Music City Tune Up 2018
228 Wooster Win 13-5 1436.22 Feb 24th Music City Tune Up 2018
189 Georgia State Win 11-6 1526.51 Feb 24th Music City Tune Up 2018
124 Indiana Win 15-8 1791.07 Mar 10th Tally Classic XIII
8 Massachusetts Loss 9-12 1618.4 Mar 10th Tally Classic XIII
140 Florida Tech Win 12-11 1292.47 Mar 10th Tally Classic XIII
37 Central Florida Loss 8-10 1372.09 Mar 10th Tally Classic XIII
28 Carnegie Mellon Loss 6-13 1118.65 Mar 10th Tally Classic XIII
81 Florida State Loss 11-14 1095.38 Mar 11th Tally Classic XIII
50 Notre Dame Loss 8-11 1173.67 Mar 11th Tally Classic XIII
244 Berry Win 13-6 1383.64 Mar 24th Magic City Invite 2018
154 Mississippi Win 13-9 1533.13 Mar 24th Magic City Invite 2018
155 Vanderbilt Win 13-10 1440.94 Mar 24th Magic City Invite 2018
317 Troy University** Win 13-3 1119.86 Ignored Mar 24th Magic City Invite 2018
120 Mississippi State Win 15-12 1561.79 Mar 25th Magic City Invite 2018
236 Middle Tennessee State Win 13-2 1400.25 Mar 25th Magic City Invite 2018
231 Alabama-Birmingham Win 15-6 1421.08 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)