#73 Honey Pot (4-23)

avg: 249.43  •  sd: 97.87  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
55 Sureshot Loss 9-15 179.16 Jul 7th Huckfest 2018
40 Steel Loss 9-15 525.52 Jul 7th Huckfest 2018
59 Queen Cake Loss 10-13 286.15 Jul 7th Huckfest 2018
40 Steel** Loss 3-15 441 Ignored Jul 8th Huckfest 2018
59 Queen Cake Loss 5-12 14.29 Jul 8th Huckfest 2018
29 Virginia Rebellion** Loss 4-13 756.45 Ignored Jul 21st Club Terminus 2018
45 Outbreak** Loss 5-12 303.78 Ignored Jul 21st Club Terminus 2018
27 Tabby Rosa** Loss 2-13 781.55 Ignored Jul 21st Club Terminus 2018
40 Steel** Loss 5-12 441 Ignored Jul 22nd Club Terminus 2018
63 Taco Truck Loss 6-13 -33.17 Jul 22nd Club Terminus 2018
62 Inferno Loss 3-10 -26.83 Jul 22nd Club Terminus 2018
57 Helix Loss 4-11 72.41 Aug 4th Heavyweights 2018
66 Iowa Wild Rose Win 12-11 602.26 Aug 4th Heavyweights 2018
74 MystiKuE Loss 6-11 -315.59 Aug 4th Heavyweights 2018
58 Stellar Loss 8-13 167.13 Aug 4th Heavyweights 2018
- Frenzy Win 7-0 600 Ignored Aug 5th Heavyweights 2018
16 Heist** Loss 0-13 1122.08 Ignored Aug 5th Heavyweights 2018
70 Lady Forward Loss 7-8 252.96 Aug 5th Heavyweights 2018
- Encore Win 12-2 397.15 Sep 8th East Coast Womens Sectional Championship 2018
- Orbit** Win 15-1 -202.85 Ignored Sep 8th East Coast Womens Sectional Championship 2018
45 Outbreak Loss 6-12 324.47 Sep 8th East Coast Womens Sectional Championship 2018
27 Tabby Rosa** Loss 4-13 781.55 Ignored Sep 22nd Southeast Womens Regional Championship 2018
59 Queen Cake Loss 6-8 313.8 Sep 22nd Southeast Womens Regional Championship 2018
45 Outbreak Loss 5-11 303.78 Sep 22nd Southeast Womens Regional Championship 2018
7 Ozone** Loss 1-13 1336.53 Ignored Sep 22nd Southeast Womens Regional Championship 2018
59 Queen Cake Loss 9-10 489.29 Sep 23rd Southeast Womens Regional Championship 2018
63 Taco Truck Loss 9-11 317.62 Sep 23rd Southeast Womens 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)