#178 Mashed (11-9)

avg: 779.24  •  sd: 69.54  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
264 Albany Airbenders Win 12-9 677.21 Jun 22nd Capital District Classic 2019
269 Tropics Ultimate Win 13-2 893.3 Jun 22nd Capital District Classic 2019
208 TBD Win 11-8 1027.32 Jun 22nd Capital District Classic 2019
296 Pink pear 2019** Win 13-2 283.89 Ignored Jun 22nd Capital District Classic 2019
117 PS Win 12-9 1444.68 Jun 23rd Capital District Classic 2019
91 Garbage Plates Loss 10-11 1071.12 Jun 23rd Capital District Classic 2019
117 PS Loss 9-14 625.45 Jun 23rd Capital District Classic 2019
270 Baltimore BENCH Win 11-10 417.64 Aug 3rd Philly Open 2019
96 Birds Loss 6-13 578.39 Aug 3rd Philly Open 2019
94 Soft Boiled Loss 5-13 581.95 Aug 3rd Philly Open 2019
208 TBD Win 13-11 890.55 Aug 4th Philly Open 2019
142 Philly Twist Loss 8-15 387.48 Aug 4th Philly Open 2019
231 Buffalo Brain Freeze Win 10-6 1007.27 Sep 7th Upstate New York Mixed Club Sectional Championship 2019
151 Buffalo Lake Effect Win 10-8 1185.75 Sep 7th Upstate New York Mixed Club Sectional Championship 2019
185 Townies Loss 5-12 148.1 Sep 7th Upstate New York Mixed Club Sectional Championship 2019
201 Zen Win 7-6 817.9 Sep 7th Upstate New York Mixed Club Sectional Championship 2019
264 Albany Airbenders Win 13-3 931.85 Sep 8th Upstate New York Mixed Club Sectional Championship 2019
151 Buffalo Lake Effect Loss 8-9 798.09 Sep 8th Upstate New York Mixed Club Sectional Championship 2019
91 Garbage Plates Loss 6-11 649.43 Sep 8th Upstate New York Mixed Club Sectional Championship 2019
91 Garbage Plates Loss 7-9 916.79 Sep 8th Upstate 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)