#202 Alabama (8-17)

avg: 434.07  •  sd: 89.78  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
211 Vanderbilt Loss 5-6 207.2 Feb 10th College Womens Huckfest
33 Union (Tennessee)** Loss 2-11 1201.17 Ignored Feb 10th College Womens Huckfest
233 Alabama-Birmingham Win 10-4 686.05 Feb 10th College Womens Huckfest
31 Alabama-Huntsville** Loss 0-11 1232.1 Ignored Feb 11th College Womens Huckfest
129 Illinois Loss 5-11 437.5 Feb 11th College Womens Huckfest
80 Cincinnati** Loss 2-11 754.51 Ignored Feb 11th College Womens Huckfest
211 Vanderbilt Loss 7-10 -57.46 Feb 11th College Womens Huckfest
221 LSU Win 10-2 856.64 Mar 2nd Florida Spring Showcase
194 Georgia College Loss 8-9 394.2 Mar 2nd Florida Spring Showcase
32 Central Florida** Loss 0-11 1217.19 Ignored Mar 2nd Florida Spring Showcase
234 Florida Tech Win 10-4 661.95 Mar 2nd Florida Spring Showcase
241 Florida-B Win 10-3 435.05 Mar 3rd Florida Spring Showcase
61 Florida** Loss 2-11 893.44 Ignored Mar 3rd Florida Spring Showcase
194 Georgia College Win 3-3 519.2 Mar 3rd Florida Spring Showcase
31 Alabama-Huntsville** Loss 1-15 1232.1 Ignored Apr 13th Gulf Coast D I Womens Conferences 2024
155 Tulane Loss 8-15 283.75 Apr 13th Gulf Coast D I Womens Conferences 2024
221 LSU Loss 7-8 131.64 Apr 13th Gulf Coast D I Womens Conferences 2024
212 Auburn Win 11-8 693.62 Apr 14th Gulf Coast D I Womens Conferences 2024
221 LSU Win 10-6 752.8 Apr 14th Gulf Coast D I Womens Conferences 2024
170 Jacksonville State Loss 3-14 161.77 Apr 14th Gulf Coast D I Womens Conferences 2024
19 Georgia** Loss 2-15 1428.17 Ignored Apr 27th Southeast D I College Womens Regionals 2024
107 Florida State** Loss 4-14 582.08 Ignored Apr 27th Southeast D I College Womens Regionals 2024
221 LSU Loss 7-8 131.64 Apr 27th Southeast D I College Womens Regionals 2024
218 Georgia-B Win 13-7 841.9 Apr 28th Southeast D I College Womens Regionals 2024
155 Tulane Loss 6-12 269.24 Apr 28th Southeast D I College Womens Regionals 2024
**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)