#189 DTX (11-15)

avg: 641.04  •  sd: 79.29  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
127 Funk Loss 4-12 380.88 Jul 7th AntlerLock 2018
180 HAOS Loss 6-9 261.37 Jul 7th AntlerLock 2018
102 Titan NE Loss 5-12 506.96 Jul 7th AntlerLock 2018
154 Default Loss 5-11 247.13 Jul 7th AntlerLock 2018
242 Buffalo Brain Freeze Win 15-8 635 Jul 8th AntlerLock 2018
164 Enough Monkeys Loss 9-15 280.37 Jul 8th AntlerLock 2018
139 Nautilus Loss 8-13 419.73 Jul 21st Vacationland 2018
57 Heartless** Loss 4-13 713.66 Ignored Jul 21st Vacationland 2018
181 RIMIX Win 10-7 1062.03 Jul 21st Vacationland 2018
231 BLT Stacks Win 13-4 898.67 Jul 21st Vacationland 2018
- Low Tide Scramblers** Win 13-3 353.43 Ignored Jul 21st Vacationland 2018
148 WHUF* Loss 8-12 439.03 Jul 22nd Vacationland 2018
214 Face Off Win 13-8 989.22 Jul 22nd Vacationland 2018
102 Titan NE Loss 6-15 506.96 Aug 4th White Mountain Mixed 2018
181 RIMIX Win 15-11 1053.53 Aug 4th White Mountain Mixed 2018
214 Face Off Win 14-8 1029.09 Aug 4th White Mountain Mixed 2018
164 Enough Monkeys Win 15-13 1010.03 Aug 4th White Mountain Mixed 2018
133 Townies Loss 5-15 361.15 Aug 5th White Mountain Mixed 2018
181 RIMIX Loss 8-15 107.55 Aug 5th White Mountain Mixed 2018
164 Enough Monkeys Win 13-7 1353.38 Aug 5th White Mountain Mixed 2018
241 Dead Reckoning Loss 12-13 11.33 Sep 8th East New England Mixed Sectional Championship 2018
181 RIMIX Win 11-10 797.36 Sep 8th East New England Mixed Sectional Championship 2018
6 Snake Country** Loss 1-15 1342.98 Ignored Sep 8th East New England Mixed Sectional Championship 2018
148 WHUF* Loss 12-14 659.23 Sep 8th East New England Mixed Sectional Championship 2018
209 DTH Win 13-11 760.01 Sep 9th East New England Mixed Sectional Championship 2018
148 WHUF* Loss 9-10 755.18 Sep 9th East New England Mixed 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)