#43 Flight Club (16-6)

avg: 1473.13  •  sd: 123.04  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
76 All Jeeps, All Night Win 11-8 1618.97 Jun 17th Colorado Mixed Round Robin 2018
138 The Strangers Win 11-9 1188.77 Jun 17th Colorado Mixed Round Robin 2018
169 Springs Mixed Ulty Team** Win 11-2 1365.88 Ignored Jun 17th Colorado Mixed Round Robin 2018
120 Mimosas Win 13-9 1441.52 Aug 18th Ski Town Classic 2018
48 Rubix Loss 9-13 960.27 Aug 18th Ski Town Classic 2018
162 Fear and Loathing** Win 13-5 1397.89 Ignored Aug 18th Ski Town Classic 2018
46 The Administrators Loss 12-13 1270.8 Aug 18th Ski Town Classic 2018
167 Wildstyle Win 13-6 1383.29 Aug 19th Ski Town Classic 2018
91 Argo Win 12-7 1685.47 Aug 19th Ski Town Classic 2018
65 Family Style Win 13-9 1705.79 Aug 19th Ski Town Classic 2018
169 Springs Mixed Ulty Team** Win 15-6 1365.88 Ignored Sep 8th Rocky Mountain Mixed Sectional Championship 2018
230 EDM** Win 15-2 904.08 Ignored Sep 8th Rocky Mountain Mixed Sectional Championship 2018
89 Sweet Action Win 15-12 1469.52 Sep 8th Rocky Mountain Mixed Sectional Championship 2018
28 Mesteño Loss 12-13 1437.54 Sep 9th Rocky Mountain Mixed Sectional Championship 2018
89 Sweet Action Win 11-6 1715.73 Sep 9th Rocky Mountain Mixed Sectional Championship 2018
116 Moontower Win 13-3 1636.05 Sep 22nd South Central Mixed Regional Championship 2018
97 tHUMP Win 13-7 1697.42 Sep 22nd South Central Mixed Regional Championship 2018
8 Love Tractor Loss 8-13 1383 Sep 22nd South Central Mixed Regional Championship 2018
138 The Strangers Win 15-8 1504.37 Sep 22nd South Central Mixed Regional Championship 2018
40 Five One Two Loss 10-15 1031.69 Sep 23rd South Central Mixed Regional Championship 2018
21 Public Enemy Loss 11-12 1550.65 Sep 23rd South Central Mixed Regional Championship 2018
89 Sweet Action Win 8-2 1769.03 Sep 23rd South Central 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)