#152 Peep Show (6-10)

avg: 855.36  •  sd: 87.63  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
237 Turnstyle** Win 15-5 805.28 Ignored Jul 7th Philly Invite 2018
87 Sparkle Ponies Loss 12-14 956.47 Jul 7th Philly Invite 2018
66 The Feminists Loss 6-15 683.56 Jul 7th Philly Invite 2018
18 Loco** Loss 5-15 1134.4 Ignored Jul 7th Philly Invite 2018
114 Buffalo Lake Effect Win 9-8 1166.74 Jul 8th Philly Invite 2018
157 Sabotage Win 15-13 1033.88 Jul 8th Philly Invite 2018
158 Philly Twist Win 13-8 1311.26 Jul 8th Philly Invite 2018
59 Distelfink Loss 7-13 743.18 Aug 5th WC Mixed Round Robin
163 Stoke Loss 7-13 239.08 Aug 5th WC Mixed Round Robin
113 The Bandits Loss 9-11 794.29 Aug 5th WC Mixed Round Robin
158 Philly Twist Loss 9-10 690.1 Aug 5th WC Mixed Round Robin
222 I-79 Win 9-3 984.34 Sep 8th Founders Mixed Sectional Championship 2018
26 Alloy Loss 6-11 1042.66 Sep 8th Founders Mixed Sectional Championship 2018
18 Loco** Loss 4-11 1134.4 Ignored Sep 8th Founders Mixed Sectional Championship 2018
117 The Process Loss 7-11 565.49 Sep 8th Founders Mixed Sectional Championship 2018
163 Stoke Win 10-8 1059.28 Sep 8th Founders Mixed Sectional 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)