#228 Colorado State-B (5-9)

avg: 739.97  •  sd: 55.46  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
330 Arizona State-C** Win 13-1 691 Ignored Jan 25th New Year Fest 2020
94 Denver Loss 4-11 655.85 Jan 25th New Year Fest 2020
44 Utah State** Loss 1-11 988.6 Ignored Jan 25th New Year Fest 2020
149 Brigham Young-B Loss 9-11 758.22 Jan 25th New Year Fest 2020
179 Grand Canyon Win 10-9 1049.73 Jan 25th New Year Fest 2020
102 Northern Arizona Loss 10-12 968.73 Jan 26th New Year Fest 2020
165 New Mexico Loss 10-13 644.84 Jan 26th New Year Fest 2020
299 Arkansas State Win 14-7 929.96 Feb 22nd Dust Bowl 2020
272 Southern Methodist Win 11-6 1032.31 Feb 22nd Dust Bowl 2020
138 North Texas Loss 3-13 443.89 Feb 22nd Dust Bowl 2020
234 Baylor Loss 10-11 589.19 Feb 23rd Dust Bowl 2020
308 Tulsa Win 15-3 871.49 Feb 23rd Dust Bowl 2020
202 Missouri State Loss 12-14 604.22 Feb 23rd Dust Bowl 2020
246 Texas-B Loss 9-11 413.9 Feb 23rd Dust Bowl 2020
**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)