#104 Denver (13-4)

avg: 1481.51  •  sd: 62.35  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
166 Oklahoma Win 8-1 1669.86 Feb 24th Dust Bowl 2018
235 Kansas-B** Win 11-1 1183.69 Ignored Feb 24th Dust Bowl 2018
114 Nebraska Win 7-5 1734.91 Feb 24th Dust Bowl 2018
156 Missouri S&T Win 7-4 1638.64 Feb 24th Dust Bowl 2018
161 Saint Louis Win 13-4 1727.7 Feb 25th Dust Bowl 2018
57 Kansas Loss 8-11 1470.93 Feb 25th Dust Bowl 2018
149 Arkansas Win 9-7 1465.7 Feb 25th Dust Bowl 2018
18 Brigham Young Loss 7-11 1819.61 Mar 3rd Air Force Invite 2018
154 Colorado-B Win 7-6 1277.21 Mar 3rd Air Force Invite 2018
131 Air Force Academy Loss 9-10 1160.67 Mar 4th Air Force Invite 2018
36 Colorado College Loss 4-9 1433.18 Mar 4th Air Force Invite 2018
- Colorado School of Mines** Win 11-1 1248.69 Ignored Mar 4th Air Force Invite 2018
143 Truman State Win 6-5 1355.82 Mar 31st Illinois Invite 2018
193 Valparaiso Win 9-8 1055.66 Mar 31st Illinois Invite 2018
112 Illinois Win 8-7 1556.05 Mar 31st Illinois Invite 2018
221 Michigan-B Win 9-6 1128.08 Mar 31st Illinois Invite 2018
114 Nebraska Win 9-5 1935.82 Mar 31st Illinois Invite 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)