#160 Vanderbilt (14-11)

avg: 1124.38  •  sd: 62.87  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
322 Mississippi Win 10-5 1161.11 Jan 26th T Town Throwdown
159 Mississippi State Win 11-7 1592.7 Jan 26th T Town Throwdown
72 Alabama-Huntsville Win 11-9 1733.2 Jan 26th T Town Throwdown
103 Georgia State Loss 5-13 748.38 Jan 26th T Town Throwdown
36 Alabama Loss 8-14 1187.1 Jan 27th T Town Throwdown
27 LSU** Loss 4-15 1177.74 Ignored Jan 27th T Town Throwdown
106 Illinois State Loss 6-15 727.34 Jan 27th T Town Throwdown
196 Middle Tennessee State Loss 7-9 723.8 Feb 16th Music City Tune Up 2019
233 Belmont Win 13-7 1465.17 Feb 16th Music City Tune Up 2019
- Vanderbilt University -B** Win 13-2 860.86 Ignored Feb 16th Music City Tune Up 2019
274 Union (Tennessee) Win 13-3 1371.62 Feb 16th Music City Tune Up 2019
229 Missouri Win 10-5 1487.75 Mar 16th Shamrock Showdown 2019
336 Arkansas State Win 13-6 1141.03 Mar 16th Shamrock Showdown 2019
329 Northern Illinois Win 13-3 1161.93 Mar 16th Shamrock Showdown 2019
283 Tennessee Tech Win 12-6 1317.94 Mar 16th Shamrock Showdown 2019
226 Miami (Ohio) Loss 8-10 653.78 Mar 17th Shamrock Showdown 2019
196 Middle Tennessee State Win 11-10 1128.14 Mar 17th Shamrock Showdown 2019
269 Ball State Win 13-12 910.46 Mar 17th Shamrock Showdown 2019
38 Purdue Loss 7-13 1149.51 Mar 23rd CWRUL Memorial 2019
64 Ohio Loss 9-13 1120.83 Mar 23rd CWRUL Memorial 2019
135 University of Pittsburgh-B Loss 7-12 722.53 Mar 23rd CWRUL Memorial 2019
171 RIT Win 14-9 1555.52 Mar 24th CWRUL Memorial 2019
158 Lehigh Loss 10-14 730.38 Mar 24th CWRUL Memorial 2019
247 Xavier Win 14-6 1474.74 Mar 24th CWRUL Memorial 2019
154 Syracuse Loss 9-12 805.2 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)