#91 Garbage Plates (18-5)

avg: 1135.45  •  sd: 47.06  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
123 PS Win 13-6 1632.36 Jun 22nd Capital District Classic 2019
192 Sad Mountain Win 12-3 1263.56 Jun 22nd Capital District Classic 2019
179 Unlimited Swipes Win 12-4 1323.99 Jun 22nd Capital District Classic 2019
209 TBD Win 15-4 1201.61 Jun 23rd Capital District Classic 2019
181 Mashed Win 11-10 841.47 Jun 23rd Capital District Classic 2019
179 Unlimited Swipes Win 12-9 1069.36 Aug 3rd Philly Open 2019
242 Pandatime** Win 13-2 1012.02 Ignored Aug 3rd Philly Open 2019
233 Stormborn** Win 13-4 1050.35 Ignored Aug 3rd Philly Open 2019
144 Philly Twist Win 13-8 1388.57 Aug 3rd Philly Open 2019
123 PS Win 14-13 1157.36 Aug 4th Philly Open 2019
92 The Bandits Loss 12-13 1009.35 Aug 4th Philly Open 2019
232 Buffalo Brain Freeze Win 10-6 949.24 Sep 7th Upstate New York Mixed Club Sectional Championship 2019
153 Buffalo Lake Effect Win 6-5 984.03 Sep 7th Upstate New York Mixed Club Sectional Championship 2019
263 Albany Airbenders** Win 13-3 875.73 Ignored Sep 7th Upstate New York Mixed Club Sectional Championship 2019
186 Townies Win 10-8 950.03 Sep 7th Upstate New York Mixed Club Sectional Championship 2019
181 Mashed Win 11-6 1263.16 Sep 8th Upstate New York Mixed Club Sectional Championship 2019
202 Zen Win 9-4 1232.58 Sep 8th Upstate New York Mixed Club Sectional Championship 2019
181 Mashed Win 9-7 995.81 Sep 8th Upstate New York Mixed Club Sectional Championship 2019
7 Wild Card Loss 7-13 1316.23 Sep 21st Northeast Club Mixed Regional Championship 2019
86 The Feminists Loss 8-11 798.54 Sep 21st Northeast Club Mixed Regional Championship 2019
105 Happy Valley Loss 10-11 974.6 Sep 21st Northeast Club Mixed Regional Championship 2019
109 Birds Win 11-9 1327.68 Sep 22nd Northeast Club Mixed Regional Championship 2019
51 Darkwing Loss 10-11 1285.14 Sep 22nd Northeast Club Mixed Regional 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)