#189 The Strangers (5-13)

avg: 720.83  •  sd: 81.07  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
241 EDM Loss 8-11 104.93 Jun 29th Rocky Mountain Mixed Round Robin
241 EDM Win 13-4 1070.54 Jun 29th Rocky Mountain Mixed Round Robin
128 Springs Mixed Ulty Team Loss 7-12 519.84 Jun 29th Rocky Mountain Mixed Round Robin
158 Sweet Action Loss 8-11 537.73 Jun 29th Rocky Mountain Mixed Round Robin
84 Ouzel Loss 7-13 677.24 Aug 24th Ski Town Classic 2019
102 Family Style Loss 5-11 567.56 Aug 24th Ski Town Classic 2019
66 Flight Club Loss 10-11 1208.31 Aug 24th Ski Town Classic 2019
69 Instant Karma Loss 5-13 706.3 Aug 24th Ski Town Classic 2019
239 Fear and Loathing Win 13-3 1078.37 Aug 25th Ski Town Classic 2019
246 Rogue Win 13-4 1053.95 Aug 25th Ski Town Classic 2019
134 Mixed Signals Win 10-8 1275.9 Sep 6th Rocky Mountain Mixed Club Sectional Championship 2019
84 Ouzel Loss 4-11 634.78 Sep 7th Rocky Mountain Mixed Club Sectional Championship 2019
14 Love Tractor** Loss 0-11 1226.3 Ignored Sep 7th Rocky Mountain Mixed Club Sectional Championship 2019
241 EDM Win 9-8 595.54 Sep 7th Rocky Mountain Mixed Club Sectional Championship 2019
220 All Jeeps, All Night. Loss 7-11 139.55 Sep 8th Rocky Mountain Mixed Club Sectional Championship 2019
128 Springs Mixed Ulty Team Loss 8-11 674.74 Sep 8th Rocky Mountain Mixed Club Sectional Championship 2019
79 Vendetta Loss 7-11 790.46 Sep 8th Rocky Mountain Mixed Club Sectional Championship 2019
158 Sweet Action Loss 5-9 374.28 Sep 8th Rocky Mountain 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)