#120 KC SmokeStack (11-16)

avg: 711.75  •  sd: 66.78  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
95 Scythe Loss 10-13 550.93 Jun 30th Spirit of the Plains 2018
154 Black Market II Loss 11-12 181.83 Jun 30th Spirit of the Plains 2018
117 THE BODY Win 9-5 1260 Jun 30th Spirit of the Plains 2018
111 Cryptic Win 12-10 1004.59 Jun 30th Spirit of the Plains 2018
95 Scythe Loss 4-9 279.07 Jul 1st Spirit of the Plains 2018
31 Black Market** Loss 4-13 746.73 Ignored Jul 1st Spirit of the Plains 2018
70 Imperial Loss 2-13 430.56 Jul 1st Spirit of the Plains 2018
92 Choice City Hops Loss 11-12 762.99 Jul 21st The Royal Experience 18
83 Supercell Loss 10-11 815.63 Jul 21st The Royal Experience 18
- Confluence Win 13-8 688.36 Jul 21st The Royal Experience 18
80 ISO Atmo Loss 10-13 629.69 Jul 21st The Royal Experience 18
59 Mallard Loss 6-15 498.06 Jul 22nd The Royal Experience 18
80 ISO Atmo Loss 10-15 504.22 Jul 22nd The Royal Experience 18
130 Syndicate Win 11-3 1230.98 Jul 22nd The Royal Experience 18
164 Fifty-Fifty Win 13-5 737.74 Aug 4th Heavyweights 2018
116 Greater Gary Goblins X Loss 9-13 322.59 Aug 4th Heavyweights 2018
129 Prime Loss 8-10 382.02 Aug 4th Heavyweights 2018
124 Wisconsin Hops Win 11-6 1243.04 Aug 5th Heavyweights 2018
161 Ironside Win 13-7 764.69 Aug 5th Heavyweights 2018
159 Midnight Meat Train Win 13-6 835.84 Aug 5th Heavyweights 2018
49 CaSTLe Loss 5-13 614.15 Sep 15th West Plains Mens Sectional Championship 2018
60 DeMo Loss 8-11 730.97 Sep 15th West Plains Mens Sectional Championship 2018
111 Cryptic Loss 10-12 528.34 Sep 15th West Plains Mens Sectional Championship 2018
95 Scythe Win 13-11 1107.91 Sep 16th West Plains Mens Sectional Championship 2018
164 Fifty-Fifty Win 13-1 737.74 Sep 16th West Plains Mens Sectional Championship 2018
53 Illusion Loss 10-13 845.94 Sep 16th West Plains Mens Sectional Championship 2018
- Miner Magic Win 12-10 667 Sep 16th West Plains Mens Sectional 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)