#167 Virginia Commonwealth (6-11)

avg: 1090.1  •  sd: 58.94  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
162 American Win 11-3 1704.41 Jan 28th Mid Atlantic Warmup
168 Johns Hopkins Loss 7-8 961.58 Jan 28th Mid Atlantic Warmup
41 William & Mary Loss 7-12 1198.37 Jan 28th Mid Atlantic Warmup
168 Johns Hopkins Win 13-12 1211.58 Jan 29th Mid Atlantic Warmup
82 Binghamton Loss 10-14 1062.83 Jan 29th Mid Atlantic Warmup
76 Princeton Loss 4-13 883.27 Feb 18th Blue Hen Open
248 Drexel Win 12-8 1185.7 Feb 18th Blue Hen Open
169 NYU Loss 5-10 509.9 Feb 18th Blue Hen Open
285 Villanova Win 13-6 1149.69 Feb 18th Blue Hen Open
70 Lehigh Loss 11-15 1145.57 Feb 19th Blue Hen Open
169 NYU Win 10-8 1346.46 Feb 19th Blue Hen Open
70 Lehigh Loss 9-13 1108.16 Apr 1st Atlantic Coast Open 2023
147 Connecticut Win 11-10 1287.48 Apr 1st Atlantic Coast Open 2023
63 Rutgers Loss 6-13 968.79 Apr 1st Atlantic Coast Open 2023
77 Temple Loss 4-15 880.32 Apr 2nd Atlantic Coast Open 2023
71 Cornell Loss 7-13 946.06 Apr 2nd Atlantic Coast Open 2023
101 Navy Loss 11-13 1147.65 Apr 2nd Atlantic Coast Open 2023
**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)