#247 Xavier (6-9)

avg: 874.74  •  sd: 68.32  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
223 Rensselaer Polytech Win 12-11 1041.61 Mar 2nd FCS D III Tune Up 2019
292 Navy Win 13-11 931.74 Mar 2nd FCS D III Tune Up 2019
310 Campbell Win 13-11 857.02 Mar 2nd FCS D III Tune Up 2019
300 High Point Loss 10-13 349 Mar 2nd FCS D III Tune Up 2019
138 Missouri S&T Loss 9-13 811.52 Mar 3rd FCS D III Tune Up 2019
35 Middlebury Loss 7-13 1168.96 Mar 3rd FCS D III Tune Up 2019
208 Berry Loss 11-13 729.94 Mar 3rd FCS D III Tune Up 2019
269 Ball State Win 13-9 1204.02 Mar 23rd CWRUL Memorial 2019
145 Dayton Loss 7-13 632.14 Mar 23rd CWRUL Memorial 2019
303 Ohio Northern Win 13-4 1252.2 Mar 23rd CWRUL Memorial 2019
358 Trine Win 13-4 1047.9 Mar 23rd CWRUL Memorial 2019
53 Indiana Loss 7-15 1026.62 Mar 24th CWRUL Memorial 2019
210 Rochester Loss 5-8 499.69 Mar 24th CWRUL Memorial 2019
174 Cedarville Loss 12-13 942.46 Mar 24th CWRUL Memorial 2019
160 Vanderbilt Loss 6-14 524.38 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)