#144 Pittsburgh-B (6-6)

avg: 1062.02  •  sd: 79.04  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
301 Virginia-B** Win 13-2 949.24 Ignored Feb 17th Commonwealth Cup Weekend 1 2024
203 West Virginia Win 13-6 1419.37 Feb 17th Commonwealth Cup Weekend 1 2024
58 Maryland Loss 6-13 842.96 Feb 17th Commonwealth Cup Weekend 1 2024
102 Davenport Win 9-8 1342.27 Feb 18th Commonwealth Cup Weekend 1 2024
125 Davidson Loss 6-12 567.26 Feb 18th Commonwealth Cup Weekend 1 2024
116 Liberty Loss 9-11 933.75 Feb 18th Commonwealth Cup Weekend 1 2024
84 Appalachian State Loss 11-15 945.64 Mar 30th Atlantic Coast Open 2024
298 Mary Washington** Win 15-4 963.78 Ignored Mar 30th Atlantic Coast Open 2024
208 Virginia Commonwealth Win 15-10 1238.98 Mar 30th Atlantic Coast Open 2024
87 Tennessee-Chattanooga Loss 10-13 981.84 Mar 30th Atlantic Coast Open 2024
90 SUNY-Buffalo Loss 9-15 759.53 Mar 31st Atlantic Coast Open 2024
165 RIT Win 15-8 1530.1 Mar 31st Atlantic Coast Open 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)