#156 Georgia Southern (9-15)

avg: 673.6  •  sd: 56.57  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
59 Central Florida** Loss 2-12 797.07 Ignored Jan 25th Florida Winter Classic 2025
65 Florida** Loss 3-11 719.34 Ignored Jan 25th Florida Winter Classic 2025
229 Georgia Tech-B Loss 6-7 38.98 Jan 25th Florida Winter Classic 2025
33 Georgia Tech** Loss 0-13 1051.61 Ignored Jan 26th Florida Winter Classic 2025
169 Miami (Florida) Loss 4-12 9.04 Jan 26th Florida Winter Classic 2025
229 Georgia Tech-B Win 10-4 763.98 Jan 26th Florida Winter Classic 2025
159 Charleston Win 10-8 927.66 Mar 15th Southerns 2025
159 Charleston Loss 7-8 540 Mar 15th Southerns 2025
107 Denver Loss 6-9 608.75 Mar 15th Southerns 2025
236 Florida-B Win 10-2 683.7 Mar 15th Southerns 2025
125 Georgia College Loss 5-8 402.54 Mar 15th Southerns 2025
99 Emory Loss 7-11 608.44 Apr 12th Southern Appalachian D I Womens Conferences 2025
258 Emory-B** Win 15-2 286.02 Ignored Apr 12th Southern Appalachian D I Womens Conferences 2025
33 Georgia Tech** Loss 2-15 1051.61 Ignored Apr 12th Southern Appalachian D I Womens Conferences 2025
81 Tennessee Loss 4-13 596.93 Apr 12th Southern Appalachian D I Womens Conferences 2025
212 Georgia-B Win 11-4 872.62 Apr 13th Southern Appalachian D I Womens Conferences 2025
81 Tennessee Loss 6-10 700.77 Apr 13th Southern Appalachian D I Womens Conferences 2025
203 Tennessee-Chattanooga Win 15-6 995.01 Apr 13th Southern Appalachian D I Womens Conferences 2025
59 Central Florida** Loss 0-15 797.07 Ignored Apr 26th Southeast D I College Womens Regionals 2025
99 Emory Loss 4-15 475.33 Apr 26th Southeast D I College Womens Regionals 2025
236 Florida-B Win 13-1 683.7 Apr 26th Southeast D I College Womens Regionals 2025
124 Jacksonville State Loss 11-14 572.41 Apr 26th Southeast D I College Womens Regionals 2025
189 LSU Win 13-9 908.86 Apr 27th Southeast D I College Womens Regionals 2025
203 Tennessee-Chattanooga Win 15-2 995.01 Apr 27th Southeast D I College Womens Regionals 2025
**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)