#132 Kentucky (6-8)

avg: 1251.16  •  sd: 78.64  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
72 Alabama-Huntsville Loss 7-11 1017.1 Jan 26th T Town Throwdown
27 LSU Loss 7-10 1388.07 Jan 26th T Town Throwdown
37 Illinois Loss 5-11 1120.39 Jan 26th T Town Throwdown
103 Georgia State Win 11-4 1948.38 Jan 26th T Town Throwdown
159 Mississippi State Win 14-11 1439.15 Jan 27th T Town Throwdown
185 Alabama-Birmingham Win 15-6 1631.96 Jan 27th T Town Throwdown
103 Georgia State Win 15-13 1562.56 Jan 27th T Town Throwdown
53 Indiana Loss 5-11 1026.62 Mar 23rd CWRUL Memorial 2019
171 RIT Loss 10-11 956.65 Mar 23rd CWRUL Memorial 2019
87 Case Western Reserve Loss 8-9 1297.56 Mar 23rd CWRUL Memorial 2019
38 Purdue Loss 8-15 1142.23 Mar 24th CWRUL Memorial 2019
148 Michigan-B Loss 8-11 816.34 Mar 24th CWRUL Memorial 2019
145 Dayton Win 12-11 1314.68 Mar 24th CWRUL Memorial 2019
135 University of Pittsburgh-B Win 11-10 1368.04 Mar 24th CWRUL Memorial 2019
**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)