#163 Stoke (10-15)

avg: 796.61  •  sd: 63.92  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
114 Buffalo Lake Effect Loss 8-13 545.58 Jul 7th Philly Invite 2018
83 Birds Loss 12-15 925.05 Jul 7th Philly Invite 2018
30 Jughandle Loss 7-13 999.82 Jul 7th Philly Invite 2018
117 The Process Loss 5-15 432.39 Jul 7th Philly Invite 2018
237 Turnstyle Win 15-2 805.28 Jul 8th Philly Invite 2018
165 Unlimited Swipes Win 11-9 1037.46 Jul 8th Philly Invite 2018
- Philadelphia Forge** Win 14-5 667.18 Ignored Jul 8th Philly Invite 2018
59 Distelfink Loss 7-9 1021.37 Aug 5th WC Mixed Round Robin
152 Peep Show Win 13-7 1412.89 Aug 5th WC Mixed Round Robin
158 Philly Twist Win 10-8 1077.77 Aug 5th WC Mixed Round Robin
113 The Bandits Win 9-8 1168.49 Aug 5th WC Mixed Round Robin
101 Tyrannis Loss 3-10 512.39 Aug 11th Chesapeake Open 2018
149 Crucible Loss 7-11 412.81 Aug 11th Chesapeake Open 2018
144 Rat City Loss 8-11 524.96 Aug 11th Chesapeake Open 2018
95 Ant Madness Loss 6-12 567.97 Aug 11th Chesapeake Open 2018
50 Grand Army Loss 9-12 1024.32 Aug 12th Chesapeake Open 2018
149 Crucible Win 12-11 1004.71 Aug 12th Chesapeake Open 2018
144 Rat City Win 11-10 1015.57 Aug 12th Chesapeake Open 2018
222 I-79 Win 11-3 984.34 Sep 8th Founders Mixed Sectional Championship 2018
26 Alloy** Loss 2-10 989.35 Ignored Sep 8th Founders Mixed Sectional Championship 2018
152 Peep Show Loss 8-10 592.69 Sep 8th Founders Mixed Sectional Championship 2018
18 Loco** Loss 2-11 1134.4 Ignored Sep 8th Founders Mixed Sectional Championship 2018
117 The Process Loss 4-9 432.39 Sep 8th Founders Mixed Sectional Championship 2018
222 I-79 Win 10-8 647.01 Sep 9th Founders Mixed Sectional Championship 2018
113 The Bandits Loss 5-9 514.44 Sep 9th 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)