#45 Mockingbird (13-8)

avg: 1238.78  •  sd: 94.54  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
7 Chicago Machine Loss 8-13 1348.77 Aug 18th TCT Elite Select Challenge 2018
16 Madison Club Loss 13-15 1478.33 Aug 18th TCT Elite Select Challenge 2018
21 Prairie Fire Loss 7-13 950.65 Aug 18th TCT Elite Select Challenge 2018
26 Brickyard Win 13-8 1895 Aug 19th TCT Elite Select Challenge 2018
22 Voodoo Loss 8-13 1008.31 Aug 19th TCT Elite Select Challenge 2018
142 Genny Lite** Win 13-4 1101.22 Ignored Aug 26th Sectional Sanction Upstate NY 2018
14 GOAT Loss 6-13 1115.11 Aug 26th Sectional Sanction Upstate NY 2018
14 GOAT Loss 3-7 1115.11 Aug 26th Sectional Sanction Upstate NY 2018
64 Overcast Win 13-7 1605.75 Aug 26th Sectional Sanction Upstate NY 2018
28 Phoenix Win 13-11 1608.76 Aug 26th Sectional Sanction Upstate NY 2018
- Club M - Inferno Win 13-6 663.64 Sep 8th West New England Mens Sectional Championship 2018
158 Shades** Win 13-1 858.19 Ignored Sep 8th West New England Mens Sectional Championship 2018
62 Club M - Manic Win 13-9 1502.34 Sep 8th West New England Mens Sectional Championship 2018
- Club M - Rage Win 13-6 1101.71 Sep 8th West New England Mens Sectional Championship 2018
113 Club M - Magma Win 13-3 1364.24 Sep 9th West New England Mens Sectional Championship 2018
62 Club M - Manic Win 15-12 1384.27 Sep 9th West New England Mens Sectional Championship 2018
- Club M - Rage** Win 15-1 1101.71 Ignored Sep 9th West New England Mens Sectional Championship 2018
105 Bruises Win 15-12 1090.46 Sep 22nd Northeast Mens Regional Championship 2018
29 Big Wrench Loss 10-15 924.24 Sep 22nd Northeast Mens Regional Championship 2018
87 Westchester Magma Bears Win 15-8 1478.68 Sep 22nd Northeast Mens Regional Championship 2018
67 Red Circus Loss 13-15 825.34 Sep 22nd Northeast Mens Regional Championship 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)