#103 Georgia State (14-6)

avg: 1348.38  •  sd: 74.8  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
159 Mississippi State Win 13-9 1544.37 Jan 26th T Town Throwdown
185 Alabama-Birmingham Win 10-8 1294.63 Jan 26th T Town Throwdown
132 Kentucky Loss 4-11 651.16 Jan 26th T Town Throwdown
160 Vanderbilt Win 13-5 1724.38 Jan 26th T Town Throwdown
132 Kentucky Loss 13-15 1036.98 Jan 27th T Town Throwdown
296 LSU-B Win 15-10 1149.41 Jan 27th T Town Throwdown
309 Illinois State-B** Win 15-3 1233.22 Ignored Jan 27th T Town Throwdown
350 Sam Houston State** Win 11-3 1082.48 Ignored Mar 2nd Mardi Gras XXXII
185 Alabama-Birmingham Win 11-6 1578.66 Mar 2nd Mardi Gras XXXII
227 Florida State-B Win 11-5 1515.33 Mar 2nd Mardi Gras XXXII
161 Sul Ross State Win 11-5 1717.91 Mar 2nd Mardi Gras XXXII
207 North Florida Win 12-9 1310.88 Mar 2nd Mardi Gras XXXII
27 LSU Win 11-10 1902.74 Mar 3rd Mardi Gras XXXII
23 Texas Tech Loss 2-13 1231.13 Mar 3rd Mardi Gras XXXII
119 Clemson Win 11-6 1830.25 Mar 16th Tally Classic XIV
43 Harvard Loss 4-13 1072.28 Mar 16th Tally Classic XIV
165 Georgia Southern Loss 12-15 791.41 Mar 16th Tally Classic XIV
79 Tulane Loss 3-13 856.42 Mar 16th Tally Classic XIV
159 Mississippi State Win 15-14 1250.81 Mar 17th Tally Classic XIV
88 Tennessee-Chattanooga Win 13-10 1747.33 Mar 17th Tally Classic XIV
**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)