#96 Birds (20-6)

avg: 1178.39  •  sd: 73.81  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
229 Enough Monkeys Win 13-7 1081.64 Jul 6th AntlerLock 2019
210 Face Off Win 15-7 1257.87 Jul 6th AntlerLock 2019
168 WHUF* Loss 11-13 605.28 Jul 6th AntlerLock 2019
137 Default Win 12-10 1238.19 Jul 7th AntlerLock 2019
124 Happy Valley Loss 8-15 502.56 Jul 7th AntlerLock 2019
148 Scarecrow Win 15-9 1444.19 Jul 7th AntlerLock 2019
270 Baltimore BENCH** Win 13-2 892.64 Ignored Aug 3rd Philly Open 2019
178 Mashed Win 13-6 1379.24 Aug 3rd Philly Open 2019
94 Soft Boiled Win 11-10 1306.95 Aug 3rd Philly Open 2019
173 Alt Stacks Win 13-4 1392.17 Aug 3rd Philly Open 2019
88 The Bandits Loss 12-15 902.39 Aug 4th Philly Open 2019
117 PS Win 14-13 1224.32 Aug 4th Philly Open 2019
247 Pandatime** Win 11-3 1047.97 Ignored Aug 24th The Incident 2019 Age of Ultimatron
194 Nautilus Win 10-5 1277.3 Aug 24th The Incident 2019 Age of Ultimatron
264 Albany Airbenders** Win 13-5 931.85 Ignored Aug 24th The Incident 2019 Age of Ultimatron
112 Stoke Win 12-9 1458.93 Aug 24th The Incident 2019 Age of Ultimatron
120 Funk Loss 3-11 486.78 Aug 25th The Incident 2019 Age of Ultimatron
143 Superstition Win 10-9 1075.28 Aug 25th The Incident 2019 Age of Ultimatron
112 Stoke Win 11-3 1713.57 Aug 25th The Incident 2019 Age of Ultimatron
296 Pink pear 2019** Win 17-2 283.89 Ignored Sep 7th Metro New York Mixed Club Sectional Championship 2019
81 The Feminists Win 11-8 1618.33 Sep 7th Metro New York Mixed Club Sectional Championship 2019
120 Funk Loss 10-12 848.66 Sep 7th Metro New York Mixed Club Sectional Championship 2019
173 Alt Stacks Win 14-6 1392.17 Sep 8th Metro New York Mixed Club Sectional Championship 2019
86 Eat Lightning Loss 9-15 706.36 Sep 8th Metro New York Mixed Club Sectional Championship 2019
180 Varsity Win 14-11 1086.11 Sep 8th Metro New York Mixed Club Sectional Championship 2019
120 Funk Win 15-8 1651.59 Sep 8th Metro New York Mixed Club Sectional Championship 2019
**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)