#43 Alabama-Huntsville (17-3)

avg: 1700.69  •  sd: 106.88  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
219 Alabama-Birmingham** Win 11-1 437.31 Ignored Feb 10th College Womens Huckfest
63 Cincinnati Win 11-2 2097.99 Feb 10th College Womens Huckfest
174 Vanderbilt** Win 11-2 1126.74 Ignored Feb 10th College Womens Huckfest
183 Alabama** Win 11-0 1026.38 Ignored Feb 11th College Womens Huckfest
40 Union (Tennessee) Loss 4-7 1222.38 Feb 11th College Womens Huckfest
122 Illinois** Win 11-1 1587.6 Ignored Feb 11th College Womens Huckfest
40 Union (Tennessee) Win 11-10 1843.54 Feb 11th College Womens Huckfest
147 Kentucky** Win 13-4 1441.73 Ignored Feb 24th The Only Tenn I See Memorial Tournament
66 Tennessee Win 8-7 1559.85 Feb 24th The Only Tenn I See Memorial Tournament
180 Auburn** Win 9-0 1063.25 Ignored Feb 24th The Only Tenn I See Memorial Tournament
174 Vanderbilt** Win 13-0 1126.74 Ignored Feb 24th The Only Tenn I See Memorial Tournament
149 Emory** Win 13-2 1403.75 Ignored Feb 25th The Only Tenn I See Memorial Tournament
101 Tennessee-Chattanooga Win 13-2 1793.45 Feb 25th The Only Tenn I See Memorial Tournament
66 Tennessee Loss 10-14 1036.15 Feb 25th The Only Tenn I See Memorial Tournament
162 South Carolina-B** Win 13-1 1240.77 Ignored Mar 23rd Needle in a Ho Stack 2024
88 Virginia Tech Win 13-2 1897.26 Mar 23rd Needle in a Ho Stack 2024
28 St Olaf Loss 6-9 1502.78 Mar 24th Needle in a Ho Stack 2024
102 East Carolina Win 11-6 1719.22 Mar 24th Needle in a Ho Stack 2024
59 Georgetown Win 10-8 1782.31 Mar 24th Needle in a Ho Stack 2024
66 Tennessee Win 13-4 2034.85 Mar 24th Needle in a Ho Stack 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)