#156 Colorado-Denver (13-6)

avg: 1106.91  •  sd: 75.28  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
274 Arkansas State Win 11-2 1301.31 Feb 24th Dust Bowl 2018
414 Hendrix** Win 11-0 467.59 Ignored Feb 24th Dust Bowl 2018
342 Washington University-B** Win 11-3 996.36 Ignored Feb 24th Dust Bowl 2018
123 Nebraska Loss 8-14 714.4 Feb 25th Dust Bowl 2018
200 Rice Loss 11-13 703.81 Feb 25th Dust Bowl 2018
128 Colorado School of Mines Win 15-13 1418.04 Feb 25th Dust Bowl 2018
237 New Mexico Win 13-7 1356.33 Mar 10th Pleasurefest 2018
310 Grand Canyon Win 13-4 1156.25 Mar 10th Pleasurefest 2018
235 Arizona State-B Win 13-5 1402.66 Mar 10th Pleasurefest 2018
322 Northern Arizona-B** Win 13-5 1098.02 Ignored Mar 10th Pleasurefest 2018
366 Arizona-B** Win 13-5 916.02 Ignored Mar 11th Pleasurefest 2018
202 Utah Valley Win 13-5 1532.09 Mar 11th Pleasurefest 2018
148 San Diego State Loss 5-9 618.02 Mar 24th Trouble in Vegas 2018
263 Sacramento State Win 9-6 1160.55 Mar 24th Trouble in Vegas 2018
272 Miami Win 13-3 1301.69 Mar 24th Trouble in Vegas 2018
211 Utah State Win 13-3 1507.84 Mar 24th Trouble in Vegas 2018
53 UCLA Loss 8-13 1038.26 Mar 24th Trouble in Vegas 2018
111 Arizona State Loss 6-11 742.52 Mar 25th Trouble in Vegas 2018
129 Claremont Loss 8-15 631.05 Mar 25th Trouble in Vegas 2018
**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)