#170 Jacksonville State (12-13)

avg: 761.77  •  sd: 53.38  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
122 Boston College Loss 2-6 475.76 Feb 24th Mardi Gras XXXVI college
32 Central Florida** Loss 0-13 1217.19 Ignored Feb 24th Mardi Gras XXXVI college
155 Tulane Win 10-9 973.55 Feb 24th Mardi Gras XXXVI college
66 Trinity** Loss 4-11 856.11 Ignored Feb 24th Mardi Gras XXXVI college
107 Florida State Loss 5-10 608.18 Feb 25th Mardi Gras XXXVI college
221 LSU Win 8-3 856.64 Feb 25th Mardi Gras XXXVI college
155 Tulane Win 7-6 973.55 Feb 25th Mardi Gras XXXVI college
103 Clemson Loss 5-10 625.83 Mar 16th Tally Classic XVIII
61 Florida** Loss 1-13 893.44 Ignored Mar 16th Tally Classic XVIII
23 Notre Dame** Loss 3-13 1331.53 Ignored Mar 16th Tally Classic XVIII
103 Clemson Loss 2-15 599.73 Mar 17th Tally Classic XVIII
222 Notre Dame-B Win 14-5 850.6 Mar 17th Tally Classic XVIII
155 Tulane Win 12-9 1193.92 Mar 17th Tally Classic XVIII
233 Alabama-Birmingham Win 10-5 659.95 Apr 13th Gulf Coast D I Womens Conferences 2024
212 Auburn Win 12-8 769.16 Apr 13th Gulf Coast D I Womens Conferences 2024
211 Vanderbilt Win 10-6 828.36 Apr 13th Gulf Coast D I Womens Conferences 2024
202 Alabama Win 14-3 1034.07 Apr 14th Gulf Coast D I Womens Conferences 2024
233 Alabama-Birmingham Win 7-4 582.21 Apr 14th Gulf Coast D I Womens Conferences 2024
155 Tulane Loss 6-15 248.55 Apr 14th Gulf Coast D I Womens Conferences 2024
32 Central Florida** Loss 1-15 1217.19 Ignored Apr 27th Southeast D I College Womens Regionals 2024
55 Georgia Tech** Loss 4-15 948.96 Ignored Apr 27th Southeast D I College Womens Regionals 2024
91 Tennessee-Chattanooga Loss 6-15 705.72 Apr 27th Southeast D I College Womens Regionals 2024
211 Vanderbilt Win 13-5 932.2 Apr 27th Southeast D I College Womens Regionals 2024
162 Emory Loss 5-7 487.89 Apr 28th Southeast D I College Womens Regionals 2024
155 Tulane Win 10-9 973.55 Apr 28th Southeast D I College Womens Regionals 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)