#246 Georgetown-B (1-11)

avg: 481.64  •  sd: 122.23  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
51 Towson** Loss 0-15 1314.84 Ignored Feb 24th Towsontown Throwdown 2018
110 West Virginia** Loss 4-15 833.65 Ignored Feb 24th Towsontown Throwdown 2018
184 Maryland-Baltimore County Loss 3-15 357 Feb 24th Towsontown Throwdown 2018
257 Towson-B Win 15-6 896.68 Feb 25th Towsontown Throwdown 2018
94 George Washington** Loss 5-15 938.16 Ignored Feb 25th Towsontown Throwdown 2018
110 West Virginia** Loss 4-13 833.65 Ignored Feb 25th Towsontown Throwdown 2018
75 Pennsylvania** Loss 0-13 1101.53 Ignored Mar 17th Bonanza 2018
80 James Madison** Loss 3-12 1047.06 Ignored Mar 17th Bonanza 2018
159 Appalachian State** Loss 1-13 537.56 Ignored Mar 17th Bonanza 2018
150 Virginia Commonwealth Loss 6-13 586.24 Mar 17th Bonanza 2018
173 East Carolina Loss 2-15 438.17 Mar 18th Bonanza 2018
215 Virginia-B Loss 6-14 176.36 Mar 18th Bonanza 2018
**Blowout Eligible

FAQ

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
  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
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)