#201 Christopher Newport (6-5)

avg: 731.98  •  sd: 62.9  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
155 Cedarville Loss 6-13 338.19 Feb 18th Commonwealth Cup Weekend1 2023
262 Wake Forest Win 12-11 586.56 Feb 18th Commonwealth Cup Weekend1 2023
281 Michigan-B Win 13-11 561.79 Feb 18th Commonwealth Cup Weekend1 2023
155 Cedarville Loss 12-13 813.19 Feb 19th Commonwealth Cup Weekend1 2023
77 Wisconsin-Milwaukee Loss 8-13 809.25 Feb 19th Commonwealth Cup Weekend1 2023
53 Appalachian State Loss 6-13 833.14 Mar 25th Needle in a Ho Stack2
255 South Carolina-B Win 13-7 1033.03 Mar 25th Needle in a Ho Stack2
- Union (Tennessee) Loss 6-13 408.07 Mar 25th Needle in a Ho Stack2
303 North Carolina-Asheville Win 13-6 766.85 Mar 25th Needle in a Ho Stack2
203 North Carolina-B Win 14-12 946.21 Mar 26th Needle in a Ho Stack2
268 North Carolina State-B Win 10-7 822.19 Mar 26th Needle in a Ho Stack2
**Blowout Eligible

FAQ

What is the uncertainty of the mean?
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
What's the algorithm again?
  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
Is there a longer explanation of all this?
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)