#143 Alabama (15-9)

avg: 897.51  •  sd: 68.97  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
139 Tennessee-Chattanooga Loss 8-9 806.07 Feb 2nd Royal Crown Classic 2019
25 Clemson Loss 7-8 1747.28 Feb 2nd Royal Crown Classic 2019
115 South Florida Win 9-7 1329.95 Feb 2nd Royal Crown Classic 2019
225 Florida-B Win 10-1 962.25 Feb 2nd Royal Crown Classic 2019
139 Tennessee-Chattanooga Loss 7-13 373.54 Feb 3rd Royal Crown Classic 2019
261 Emory-B** Win 10-2 657.5 Ignored Feb 3rd Royal Crown Classic 2019
261 Emory-B** Win 13-5 657.5 Ignored Feb 3rd Royal Crown Classic 2019
214 Mississippi Loss 5-6 320.64 Feb 16th First Annual Jillz Jamboree
211 Alabama-Huntsville Win 9-2 1082.58 Feb 16th First Annual Jillz Jamboree
140 Cincinnati Loss 8-10 650.17 Feb 16th First Annual Jillz Jamboree
98 Mississippi State Loss 6-12 548.84 Feb 16th First Annual Jillz Jamboree
98 Mississippi State Loss 6-13 528.15 Feb 17th First Annual Jillz Jamboree
210 Cedarville Win 13-6 1084.08 Feb 17th First Annual Jillz Jamboree
151 Kentucky Win 9-5 1391.14 Feb 17th First Annual Jillz Jamboree
191 Texas Christian Win 10-7 968.06 Mar 2nd Mardi Gras XXXII
237 North Texas** Win 13-5 859.68 Ignored Mar 2nd Mardi Gras XXXII
98 Mississippi State Loss 7-11 661.26 Mar 2nd Mardi Gras XXXII
- Sam Houston State** Win 13-5 600 Ignored Mar 2nd Mardi Gras XXXII
201 Indiana Win 10-7 928.3 Mar 3rd Mardi Gras XXXII
102 LSU Loss 6-13 519.43 Mar 3rd Mardi Gras XXXII
249 Alabama-Birmingham** Win 12-4 752.77 Ignored Mar 23rd T town Throwdown Women
180 Georgia State Win 10-8 893.39 Mar 23rd T town Throwdown Women
214 Mississippi Win 15-3 1045.64 Mar 24th T town Throwdown Women
98 Mississippi State Win 11-10 1253.15 Mar 24th T town Throwdown Women
**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)