#189 Georgia-B (3-9)

avg: 393.46  •  sd: 110.25  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
149 Emory Loss 3-6 257.05 Feb 24th The Only Tenn I See Memorial Tournament
122 Illinois Loss 3-10 387.6 Feb 24th The Only Tenn I See Memorial Tournament
101 Tennessee-Chattanooga** Loss 3-11 593.45 Ignored Feb 24th The Only Tenn I See Memorial Tournament
40 Union (Tennessee)** Loss 3-12 1118.54 Ignored Feb 24th The Only Tenn I See Memorial Tournament
174 Vanderbilt Loss 3-12 -73.26 Feb 25th The Only Tenn I See Memorial Tournament
180 Auburn Win 11-8 828.86 Mar 16th Southerns 2024
173 Georgia College Loss 7-11 67.53 Mar 16th Southerns 2024
119 Wisconsin-Eau Claire** Loss 1-12 414.38 Ignored Mar 16th Southerns 2024
102 East Carolina** Loss 1-12 572.52 Ignored Mar 16th Southerns 2024
48 Carleton College-Eclipse** Loss 0-15 1043.69 Ignored Mar 17th Southerns 2024
221 Florida-B Win 9-4 347.04 Mar 17th Southerns 2024
173 Georgia College Win 8-6 834.91 Mar 17th Southerns 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)