#124 Albany Airbenders (16-11)

avg: 1012.1  •  sd: 81.99  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
57 Heartless Loss 7-9 1034.32 Jul 7th AntlerLock 2018
150 Scarecrow Win 10-9 992.4 Jul 7th AntlerLock 2018
164 Enough Monkeys Win 12-8 1237.01 Jul 7th AntlerLock 2018
214 Face Off Win 12-4 1093.06 Jul 7th AntlerLock 2018
102 Titan NE Loss 5-15 506.96 Jul 8th AntlerLock 2018
53 Darkwing Win 12-9 1679.63 Jul 8th AntlerLock 2018
180 HAOS Loss 6-11 133.25 Jul 21st Vacationland 2018
148 WHUF* Win 13-11 1109.02 Jul 21st Vacationland 2018
53 Darkwing Loss 7-9 1054.93 Jul 21st Vacationland 2018
195 Rainbow Loss 11-12 470.18 Jul 21st Vacationland 2018
218 Equinox Win 15-9 961.26 Jul 22nd Vacationland 2018
181 RIMIX Win 14-4 1272.36 Jul 22nd Vacationland 2018
148 WHUF* Win 13-9 1298.75 Aug 18th Chowdafest 2018
113 The Bandits Win 13-12 1168.49 Aug 18th Chowdafest 2018
107 Sunken Circus Win 13-9 1496.09 Aug 18th Chowdafest 2018
139 Nautilus Win 9-5 1444.95 Aug 19th Chowdafest 2018
133 Townies Win 11-10 1086.15 Aug 19th Chowdafest 2018
57 Heartless Loss 5-13 713.66 Aug 19th Chowdafest 2018
150 Scarecrow Win 12-10 1105.53 Aug 19th Chowdafest 2018
53 Darkwing Loss 4-13 734.27 Aug 19th Chowdafest 2018
203 Zen Win 13-6 1150.69 Sep 8th Upstate New York Mixed Sectional Championship 2018
92 Garbage Plates Loss 10-11 1038.36 Sep 8th Upstate New York Mixed Sectional Championship 2018
32 UNION Loss 6-13 940.8 Sep 8th Upstate New York Mixed Sectional Championship 2018
242 Buffalo Brain Freeze Win 10-5 644.09 Sep 8th Upstate New York Mixed Sectional Championship 2018
133 Townies Win 10-8 1223.82 Sep 9th Upstate New York Mixed Sectional Championship 2018
114 Buffalo Lake Effect Loss 7-8 916.74 Sep 9th Upstate New York Mixed Sectional Championship 2018
114 Buffalo Lake Effect Loss 8-10 779.07 Sep 9th Upstate 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)