#310 Grand Canyon (7-12)

avg: 556.25  •  sd: 48.87  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
222 Brigham Young-B Loss 3-13 263.47 Jan 27th New Year Fest 2018
90 Northern Arizona** Loss 2-13 777.6 Ignored Jan 27th New Year Fest 2018
235 Arizona State-B Loss 4-13 202.66 Jan 27th New Year Fest 2018
429 Arizona State-C** Win 13-5 316.02 Ignored Jan 27th New Year Fest 2018
159 Colorado-B Loss 4-11 494.56 Jan 28th New Year Fest 2018
429 Arizona State-C** Win 11-3 316.02 Ignored Jan 28th New Year Fest 2018
366 Arizona-B Win 11-9 565.22 Jan 28th New Year Fest 2018
366 Arizona-B Win 13-5 916.02 Mar 10th Pleasurefest 2018
322 Northern Arizona-B Win 10-9 623.02 Mar 10th Pleasurefest 2018
156 Colorado-Denver Loss 4-13 506.91 Mar 10th Pleasurefest 2018
235 Arizona State-B Loss 9-11 553.45 Mar 10th Pleasurefest 2018
237 New Mexico Loss 8-13 302.64 Mar 11th Pleasurefest 2018
202 Utah Valley Loss 8-12 490.94 Mar 11th Pleasurefest 2018
90 Northern Arizona** Loss 3-13 777.6 Ignored Mar 24th Trouble in Vegas 2018
104 Pacific Lutheran** Loss 2-13 723.27 Ignored Mar 24th Trouble in Vegas 2018
143 California-San Diego** Loss 3-12 560.92 Ignored Mar 24th Trouble in Vegas 2018
298 Cal State-Fullerton Win 6-5 716.16 Mar 24th Trouble in Vegas 2018
355 Colorado Mesa University Win 13-3 954.28 Mar 25th Trouble in Vegas 2018
208 Occidental Loss 8-13 424.34 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)