#108 Denver (2-12)

avg: 648.32  •  sd: 95.92  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
91 Northern Arizona Loss 7-10 459.39 Jan 27th New Year Fest 40
82 Arizona Loss 8-9 807.45 Jan 27th New Year Fest 40
136 Arizona-B Win 11-6 576.67 Jan 27th New Year Fest 40
78 Grand Canyon Loss 5-9 437.5 Jan 27th New Year Fest 40
115 Arizona State Win 7-3 1156.12 Jan 28th New Year Fest 40
90 San Diego State Loss 6-7 731.13 Jan 28th New Year Fest 40
27 California-Davis** Loss 2-14 1061.5 Ignored Feb 17th Presidents Day Invite 2024
26 California-San Diego** Loss 2-15 1068.61 Ignored Feb 17th Presidents Day Invite 2024
5 Oregon** Loss 0-15 1631.59 Ignored Feb 17th Presidents Day Invite 2024
88 Claremont Loss 6-9 457.12 Feb 18th Presidents Day Invite 2024
39 Cal Poly-SLO** Loss 4-15 898.43 Ignored Feb 18th Presidents Day Invite 2024
48 California** Loss 2-12 743.04 Ignored Feb 18th Presidents Day Invite 2024
62 Southern California Loss 6-10 717.95 Feb 19th Presidents Day Invite 2024
74 California-San Diego-B Loss 6-9 616.22 Feb 19th Presidents Day Invite 2024
**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)