#36 CLE Smokestack (17-8)

avg: 1299.63  •  sd: 87.8  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
109 JAWN Win 15-10 1223.47 Jul 14th 2018 Philadelphia Select Classic II
68 John Doe Win 15-9 1554.68 Jul 14th 2018 Philadelphia Select Classic II
50 Colt Win 15-10 1666.47 Jul 14th 2018 Philadelphia Select Classic II
29 Big Wrench Win 15-13 1592.02 Jul 14th 2018 Philadelphia Select Classic II
118 Adelphos Win 11-5 1318.38 Jul 15th 2018 Philadelphia Select Classic II
33 Richmond Floodwall Win 11-8 1709.17 Aug 11th Chesapeake Open 2018
23 Freaks Loss 12-13 1376.12 Aug 11th Chesapeake Open 2018
54 Blueprint Loss 8-11 793.07 Aug 11th Chesapeake Open 2018
68 John Doe Win 11-9 1288.41 Aug 11th Chesapeake Open 2018
37 Brickhouse Loss 11-12 1163.21 Aug 12th Chesapeake Open 2018
50 Colt Loss 7-9 933.53 Aug 12th Chesapeake Open 2018
68 John Doe Win 11-8 1404.81 Aug 12th Chesapeake Open 2018
149 Chimney** Win 13-2 947.03 Ignored Sep 8th East Plains Mens Sectional Championship 2018
136 Pipeline Win 13-7 1138.35 Sep 8th East Plains Mens Sectional Championship 2018
104 Black Lung Win 13-5 1408.72 Sep 8th East Plains Mens Sectional Championship 2018
65 Mango Tree Win 12-7 1564.68 Sep 9th East Plains Mens Sectional Championship 2018
146 Dirty D** Win 13-4 1013.23 Ignored Sep 9th East Plains Mens Sectional Championship 2018
48 Four Loss 7-15 616.08 Sep 9th East Plains Mens Sectional Championship 2018
65 Mango Tree Loss 8-12 603.01 Sep 9th East Plains Mens Sectional Championship 2018
119 MomINtuM Win 13-6 1312.34 Sep 22nd Great Lakes Mens Regional Championship 2018
73 Greater Gary Goblins Y Win 13-10 1343.94 Sep 22nd Great Lakes Mens Regional Championship 2018
9 HIGH FIVE Loss 8-13 1317.7 Sep 22nd Great Lakes Mens Regional Championship 2018
51 BroCats Win 15-11 1571.01 Sep 22nd Great Lakes Mens Regional Championship 2018
48 Four Win 15-7 1816.08 Sep 23rd Great Lakes Mens Regional Championship 2018
26 Brickyard Loss 12-13 1273.84 Sep 23rd Great Lakes 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)