#220 Bees (3-13)

avg: 403.91  •  sd: 84.22  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
133 Townies Loss 5-13 361.15 Jul 7th AntlerLock 2018
53 Darkwing** Loss 0-13 734.27 Ignored Jul 7th AntlerLock 2018
218 Equinox Loss 7-13 -111.76 Jul 7th AntlerLock 2018
107 Sunken Circus** Loss 4-11 477.52 Ignored Jul 7th AntlerLock 2018
242 Buffalo Brain Freeze Win 15-7 670.2 Jul 8th AntlerLock 2018
164 Enough Monkeys Loss 9-15 280.37 Jul 8th AntlerLock 2018
237 Turnstyle Loss 11-12 80.28 Aug 25th The Incident 2018
141 Powermove Loss 11-14 580.18 Aug 25th The Incident 2018
239 Pandatime Win 13-9 585.74 Aug 25th The Incident 2018
231 BLT Stacks Loss 8-13 -197.49 Aug 25th The Incident 2018
132 HVAC Loss 4-9 362.53 Aug 26th The Incident 2018
108 Alt Stacks** Loss 3-15 477.49 Ignored Aug 26th The Incident 2018
158 Philly Twist Loss 8-10 552.44 Aug 26th The Incident 2018
139 Nautilus Loss 9-13 497.33 Sep 8th Metro New York Mixed Sectional Championship 2018
237 Turnstyle Win 13-10 533.42 Sep 8th Metro New York Mixed Sectional Championship 2018
108 Alt Stacks Loss 11-13 848.65 Sep 8th Metro New York 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)