#34 'Shine (18-3)

avg: 1588.45  •  sd: 84.22  •  top 16/20: 0.2%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
162 OutKast Win 12-11 997.91 Jul 6th Huntsville Huckfest 2019
230 The Umbrella** Win 13-3 1113.47 Ignored Jul 6th Huntsville Huckfest 2019
225 Monster Win 13-10 911.04 Jul 6th Huntsville Huckfest 2019
105 Auburn HeyDay Loss 12-15 857.63 Jul 7th Huntsville Huckfest 2019
219 Memphis Hustle & Flow** Win 13-5 1211.21 Ignored Jul 7th Huntsville Huckfest 2019
74 Trash Pandas Win 13-5 1873.88 Jul 7th Huntsville Huckfest 2019
153 Jackpot** Win 13-4 1520.99 Ignored Aug 10th HoDown ShowDown 23 GOAT
132 Liquid Hustle Win 13-6 1623.82 Aug 10th HoDown ShowDown 23 GOAT
40 Murmur Win 13-6 2140.03 Aug 10th HoDown ShowDown 23 GOAT
62 JLP Win 11-7 1817.9 Aug 10th HoDown ShowDown 23 GOAT
99 Mutiny Win 15-8 1735.29 Aug 11th HoDown ShowDown 23 GOAT
47 Huntsville Outlaws Win 15-9 1988.9 Aug 11th HoDown ShowDown 23 GOAT
38 Superlame Loss 11-15 1177.35 Aug 11th HoDown ShowDown 23 GOAT
268 Orbit** Win 13-0 898.04 Ignored Sep 7th East Coast Mixed Club Sectional Championship 2019
162 OutKast** Win 13-5 1472.91 Ignored Sep 7th East Coast Mixed Club Sectional Championship 2019
164 BATL Cows** Win 13-2 1456.2 Ignored Sep 7th East Coast Mixed Club Sectional Championship 2019
113 sKNO cone Win 13-7 1669.2 Sep 7th East Coast Mixed Club Sectional Championship 2019
40 Murmur Loss 10-11 1415.03 Sep 8th East Coast Mixed Club Sectional Championship 2019
74 Trash Pandas Win 13-9 1692.44 Sep 8th East Coast Mixed Club Sectional Championship 2019
21 Bucket Win 12-11 1848.21 Sep 8th East Coast Mixed Club Sectional Championship 2019
62 JLP Win 10-8 1613.67 Sep 8th East Coast 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)