#92 Garbage Plates (13-10)

avg: 1163.36  •  sd: 97.86  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
157 Sabotage Win 15-6 1419.7 Jul 7th Philly Invite 2018
141 Powermove Win 12-6 1472.83 Jul 7th Philly Invite 2018
- Philadelphia Forge** Win 13-3 667.18 Ignored Jul 7th Philly Invite 2018
73 Chaotic Good Loss 9-12 920.28 Jul 7th Philly Invite 2018
117 The Process Win 12-10 1270.51 Jul 8th Philly Invite 2018
50 Grand Army Loss 9-11 1120.47 Jul 8th Philly Invite 2018
87 Sparkle Ponies Loss 7-15 577.43 Jul 8th Philly Invite 2018
114 Buffalo Lake Effect Loss 10-14 643.04 Aug 25th Sectional Sanction Upstate NY 2018
171 North Coast Win 15-5 1350.72 Aug 25th Sectional Sanction Upstate NY 2018
133 Townies Win 17-16 1086.15 Aug 25th Sectional Sanction Upstate NY 2018
203 Zen Win 12-7 1071.2 Sep 8th Upstate New York Mixed Sectional Championship 2018
114 Buffalo Lake Effect Win 8-6 1342.23 Sep 8th Upstate New York Mixed Sectional Championship 2018
242 Buffalo Brain Freeze** Win 13-3 670.2 Ignored Sep 8th Upstate New York Mixed Sectional Championship 2018
124 Albany Airbenders Win 11-10 1137.1 Sep 8th Upstate New York Mixed Sectional Championship 2018
32 UNION Loss 6-11 994.11 Sep 9th Upstate New York Mixed Sectional Championship 2018
133 Townies Loss 6-8 660.66 Sep 9th Upstate New York Mixed Sectional Championship 2018
32 UNION Win 10-7 1930.47 Sep 9th Upstate New York Mixed Sectional Championship 2018
22 XIST Loss 6-15 1018.05 Sep 22nd Northeast Mixed Regional Championship 2018
31 Metro North Loss 10-11 1431.32 Sep 22nd Northeast Mixed Regional Championship 2018
102 Titan NE Win 12-8 1548.12 Sep 22nd Northeast Mixed Regional Championship 2018
50 Grand Army Loss 9-12 1024.32 Sep 22nd Northeast Mixed Regional Championship 2018
83 Birds Win 12-11 1350.54 Sep 23rd Northeast Mixed Regional Championship 2018
66 The Feminists Loss 11-15 902.39 Sep 23rd Northeast Mixed Regional 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)