#268 Alabama-B (7-14)

avg: 520.94  •  sd: 48.87  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
223 Mississippi State-C Loss 9-13 314.85 Jan 20th Starkville Qualifiers
368 Southern Mississippi Win 13-9 257.3 Jan 20th Starkville Qualifiers
250 Georgia Tech-B Loss 7-9 348.52 Jan 20th Starkville Qualifiers
222 Mississippi State -B Loss 7-15 136.33 Jan 21st Starkville Qualifiers
333 LSU-B Win 15-2 751.44 Jan 21st Starkville Qualifiers
250 Georgia Tech-B Loss 12-13 502.86 Jan 21st Starkville Qualifiers
131 Alabama-C Loss 6-11 567.81 Feb 3rd Black Warrior Classic
264 Jacksonville State Loss 10-11 416.75 Feb 3rd Black Warrior Classic
222 Mississippi State -B Loss 8-9 611.33 Feb 3rd Black Warrior Classic
368 Southern Mississippi** Win 11-3 438.74 Ignored Feb 3rd Black Warrior Classic
201 Alabama-Birmingham Loss 6-9 408.3 Feb 4th Black Warrior Classic
222 Mississippi State -B Loss 7-11 269.43 Feb 4th Black Warrior Classic
368 Southern Mississippi** Win 11-2 438.74 Ignored Feb 4th Black Warrior Classic
201 Alabama-Birmingham Loss 8-10 564.2 Mar 23rd Magic City Invite 2024
326 Samford Win 12-2 795.66 Mar 23rd Magic City Invite 2024
222 Mississippi State -B Loss 9-12 390.96 Mar 23rd Magic City Invite 2024
264 Jacksonville State Win 11-5 1141.75 Mar 23rd Magic City Invite 2024
119 Berry Loss 6-13 572.32 Mar 24th Magic City Invite 2024
264 Jacksonville State Win 12-11 666.75 Mar 24th Magic City Invite 2024
119 Berry Loss 6-13 572.32 Mar 24th Magic City Invite 2024
222 Mississippi State -B Loss 7-12 215.81 Mar 24th Magic City Invite 2024
**Blowout Eligible

FAQ

What is the uncertainty of the mean?
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
What's the algorithm again?
  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
Is there a longer explanation of all this?
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)