#167 Wildstyle (9-13)

avg: 783.29  •  sd: 55.65  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
178 Balloon Win 12-9 1033.67 Jun 30th Texas Two Finger 2018
52 Instant Karma Win 10-8 1607.72 Jun 30th Texas Two Finger 2018
130 Impact Loss 9-13 550.26 Jun 30th Texas Two Finger 2018
116 Moontower Loss 9-12 690.68 Jul 1st Texas Two Finger 2018
64 Sellout Loss 5-14 688.24 Jul 1st Texas Two Finger 2018
204 Spring Creek Ascension Win 15-9 1062.01 Aug 4th PBJ 2018
178 Balloon Win 12-11 813.3 Aug 4th PBJ 2018
118 Risky Business Loss 10-13 703.26 Aug 4th PBJ 2018
216 Mud Turtles Win 15-9 1000.67 Aug 5th PBJ 2018
204 Spring Creek Ascension Win 14-10 945.23 Aug 5th PBJ 2018
67 Firefly Loss 5-13 682.6 Aug 18th Ski Town Classic 2018
65 Family Style Loss 6-13 687.22 Aug 18th Ski Town Classic 2018
138 The Strangers Win 13-12 1064.56 Aug 18th Ski Town Classic 2018
44 Bozos** Loss 3-13 860.67 Ignored Aug 18th Ski Town Classic 2018
43 Flight Club Loss 6-13 873.13 Aug 19th Ski Town Classic 2018
110 California Burrito Loss 9-13 648.52 Aug 19th Ski Town Classic 2018
118 Risky Business Loss 6-11 484.71 Sep 8th Texas Mixed Sectional Championship 2018
21 Public Enemy** Loss 4-11 1075.65 Ignored Sep 8th Texas Mixed Sectional Championship 2018
- Tlacuaches Loss 7-11 424 Sep 8th Texas Mixed Sectional Championship 2018
- boom shaka laka** Win 11-3 333.44 Ignored Sep 8th Texas Mixed Sectional Championship 2018
227 Mixfits Win 11-4 933.44 Sep 9th Texas Mixed Sectional Championship 2018
216 Mud Turtles Loss 7-8 360.18 Sep 9th Texas 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)