#149 Tex Mix (11-12)

avg: 926.68  •  sd: 47.9  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
276 Alpha Win 15-8 805.37 Jun 15th Texas Two Finger 2019
283 Craw Daddies Win 15-7 757.01 Jun 15th Texas Two Finger 2019
104 Moontower Loss 11-12 1034.12 Jun 15th Texas Two Finger 2019
107 blOKC party Loss 11-12 1021.65 Jul 13th OK Corral 2019
49 Boomtown Loss 7-10 1074.3 Jul 13th OK Corral 2019
243 rubber duck ultimate. Win 13-7 1020.17 Jul 13th OK Corral 2019
107 blOKC party Loss 10-12 908.53 Jul 14th OK Corral 2019
49 Boomtown Loss 10-12 1225.84 Jul 14th OK Corral 2019
243 rubber duck ultimate. Win 11-8 828.25 Jul 14th OK Corral 2019
107 blOKC party Loss 9-13 728.08 Aug 17th Hootie on the Hill 2019
65 7 Sins Loss 3-13 733.62 Aug 17th Hootie on the Hill 2019
219 Memphis Hustle & Flow Win 13-3 1211.21 Aug 17th Hootie on the Hill 2019
292 Mixfits** Win 13-1 517.34 Ignored Aug 17th Hootie on the Hill 2019
186 Be Reasonable Win 15-4 1345.44 Aug 18th Hootie on the Hill 2019
123 Impact Loss 11-15 696.32 Aug 18th Hootie on the Hill 2019
75 Bexar Loss 5-11 673.51 Sep 7th Texas Mixed Club Sectional Championship 2019
256 Balloon Win 13-4 977.86 Sep 7th Texas Mixed Club Sectional Championship 2019
100 Risky Business Loss 7-10 779.34 Sep 7th Texas Mixed Club Sectional Championship 2019
292 Mixfits** Win 13-0 517.34 Ignored Sep 7th Texas Mixed Club Sectional Championship 2019
75 Bexar Loss 5-10 699.61 Sep 8th Texas Mixed Club Sectional Championship 2019
202 Chili Poppers Win 11-9 941.22 Sep 8th Texas Mixed Club Sectional Championship 2019
202 Chili Poppers Win 12-1 1292.01 Sep 8th Texas Mixed Club Sectional Championship 2019
104 Moontower Loss 7-10 769.45 Sep 8th Texas 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)