#256 Salisbury (6-5)

avg: 919.79  •  sd: 99.24  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
319 Edinboro Win 13-9 1072.72 Feb 24th Bring The Huckus 2024
245 Skidmore Win 9-8 1103.07 Feb 24th Bring The Huckus 2024
310 Stevens Tech Win 11-8 1044.44 Feb 24th Bring The Huckus 2024
382 Lehigh-B Win 7-3 887.63 Feb 24th Bring The Huckus 2024
139 Army Win 15-11 1729.51 Feb 25th Bring The Huckus 2024
225 Colby Loss 10-15 582.08 Feb 25th Bring The Huckus 2024
114 Davidson Loss 4-15 837.27 Apr 20th Atlantic Coast D III Mens Conferences 2024
306 High Point Win 15-10 1146.11 Apr 20th Atlantic Coast D III Mens Conferences 2024
65 Richmond** Loss 4-15 1074.99 Ignored Apr 20th Atlantic Coast D III Mens Conferences 2024
209 Christopher Newport Loss 6-15 481.48 Apr 21st Atlantic Coast D III Mens Conferences 2024
176 Navy Loss 8-15 647.62 Apr 21st Atlantic Coast D III Mens Conferences 2024
**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)