#98 Georgia State (15-8)

avg: 1520.82  •  sd: 67.99  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
370 LSU-B** Win 15-0 958.46 Ignored Jan 20th Starkville Qualifiers
242 Mississippi State -B Win 15-8 1550.87 Jan 20th Starkville Qualifiers
231 Harding Win 13-6 1615.31 Jan 20th Starkville Qualifiers
403 Southern Mississippi** Win 15-2 636.96 Ignored Jan 21st Starkville Qualifiers
231 Harding Win 15-7 1615.31 Jan 21st Starkville Qualifiers
242 Mississippi State -B Win 13-6 1586.06 Jan 21st Starkville Qualifiers
241 Wake Forest Win 12-6 1566.3 Mar 23rd Needle in a Ho Stack 2024
179 North Carolina-Asheville Win 11-4 1799.53 Mar 23rd Needle in a Ho Stack 2024
86 Cedarville Win 8-6 1856.01 Mar 24th Needle in a Ho Stack 2024
196 Charleston Win 9-5 1662.59 Mar 24th Needle in a Ho Stack 2024
214 North Carolina-B Win 11-6 1620.49 Mar 24th Needle in a Ho Stack 2024
104 Liberty Win 10-7 1880.39 Mar 24th Needle in a Ho Stack 2024
54 Emory Loss 10-12 1517.2 Apr 13th Southern Appalachian D I Mens Conferences 2024
3 Georgia Loss 8-15 1892.09 Apr 13th Southern Appalachian D I Mens Conferences 2024
164 Kennesaw State Win 13-11 1497.97 Apr 13th Southern Appalachian D I Mens Conferences 2024
90 Tennessee Loss 13-15 1329.66 Apr 13th Southern Appalachian D I Mens Conferences 2024
54 Emory Loss 9-13 1336.76 Apr 14th Southern Appalachian D I Mens Conferences 2024
246 Georgia Southern Win 15-4 1570.37 Apr 14th Southern Appalachian D I Mens Conferences 2024
164 Kennesaw State Win 13-4 1869.13 Apr 14th Southern Appalachian D I Mens Conferences 2024
43 Tulane Loss 9-12 1493.05 Apr 27th Southeast D I College Mens Regionals 2024
111 Vanderbilt Loss 12-13 1332.16 Apr 27th Southeast D I College Mens Regionals 2024
90 Tennessee Loss 9-15 1028.36 Apr 27th Southeast D I College Mens Regionals 2024
99 Tennessee-Chattanooga Loss 5-15 918.93 Apr 27th Southeast D I College Mens 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)