#260 Virginia-B (0-12)

avg: -409.58  •  sd: 275.73  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
57 James Madison** Loss 0-13 806.04 Ignored Jan 25th Winta Binta Vinta 2025
22 Ohio State** Loss 0-13 1293.06 Ignored Jan 25th Winta Binta Vinta 2025
74 Penn State** Loss 0-10 659.73 Ignored Jan 25th Winta Binta Vinta 2025
50 Liberty** Loss 0-13 889.97 Ignored Jan 26th Winta Binta Vinta 2025
126 North Carolina-Wilmington** Loss 2-13 247.29 Ignored Jan 26th Winta Binta Vinta 2025
21 Virginia** Loss 1-13 1301.06 Ignored Jan 26th Winta Binta Vinta 2025
252 American-B Loss 5-7 -388.49 Apr 12th Atlantic Coast Dev Womens Conferences 2025
211 Georgetown-B Loss 4-7 -221.85 Apr 12th Atlantic Coast Dev Womens Conferences 2025
151 North Carolina-B** Loss 3-12 89.22 Ignored Apr 12th Atlantic Coast Dev Womens Conferences 2025
226 South Carolina-B Loss 5-8 -266.14 Apr 12th Atlantic Coast Dev Womens Conferences 2025
252 American-B Loss 1-8 -660.35 Apr 13th Atlantic Coast Dev Womens Conferences 2025
238 William & Mary-B Loss 2-7 -524.18 Apr 13th Atlantic Coast Dev Womens Conferences 2025
**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)