#208 TBD (9-16)

avg: 661.71  •  sd: 46.74  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
264 Albany Airbenders Win 13-3 931.85 Jun 22nd Capital District Classic 2019
178 Mashed Loss 8-11 413.63 Jun 22nd Capital District Classic 2019
296 Pink pear 2019** Win 13-3 283.89 Ignored Jun 22nd Capital District Classic 2019
269 Tropics Ultimate Win 11-4 893.3 Jun 22nd Capital District Classic 2019
91 Garbage Plates Loss 4-15 596.12 Jun 23rd Capital District Classic 2019
117 PS Loss 6-11 552.62 Jun 23rd Capital District Classic 2019
151 Buffalo Lake Effect Loss 8-12 481.93 Aug 3rd Philly Open 2019
191 LORD Win 13-9 1132.47 Aug 3rd Philly Open 2019
269 Tropics Ultimate Win 12-7 813.81 Aug 3rd Philly Open 2019
88 The Bandits Loss 8-13 706.72 Aug 3rd Philly Open 2019
173 Alt Stacks Loss 13-15 577.99 Aug 4th Philly Open 2019
178 Mashed Loss 11-13 550.4 Aug 4th Philly Open 2019
120 Funk Loss 6-11 540.09 Aug 24th The Incident 2019 Age of Ultimatron
94 Soft Boiled Loss 7-11 715.06 Aug 24th The Incident 2019 Age of Ultimatron
177 Unlimited Swipes Loss 7-11 313.96 Aug 24th The Incident 2019 Age of Ultimatron
293 Turnstyle** Win 13-0 439.57 Ignored Aug 24th The Incident 2019 Age of Ultimatron
115 Rat City Loss 3-10 505.67 Aug 25th The Incident 2019 Age of Ultimatron
180 Varsity Loss 7-8 647.77 Aug 25th The Incident 2019 Age of Ultimatron
194 Nautilus Win 9-6 1121.96 Aug 25th The Incident 2019 Age of Ultimatron
56 Grand Army** Loss 1-15 801.86 Ignored Sep 7th Metro New York Mixed Club Sectional Championship 2019
68 Metro North** Loss 2-15 715.24 Ignored Sep 7th Metro New York Mixed Club Sectional Championship 2019
177 Unlimited Swipes Win 11-10 905.86 Sep 7th Metro New York Mixed Club Sectional Championship 2019
293 Turnstyle** Win 15-2 439.57 Ignored Sep 7th Metro New York Mixed Club Sectional Championship 2019
180 Varsity Loss 9-15 257.29 Sep 8th Metro New York Mixed Club Sectional Championship 2019
81 The Feminists Loss 8-15 687.92 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)