#113 sKNO cone (10-11)

avg: 1111.67  •  sd: 69.33  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
105 Auburn HeyDay Win 13-11 1386.96 Jul 6th Huntsville Huckfest 2019
174 Magic City Mayhem Win 13-8 1282.33 Jul 6th Huntsville Huckfest 2019
219 Memphis Hustle & Flow Win 13-6 1211.21 Jul 6th Huntsville Huckfest 2019
162 OutKast Win 15-5 1472.91 Jul 7th Huntsville Huckfest 2019
47 Huntsville Outlaws Loss 11-15 1092.26 Jul 7th Huntsville Huckfest 2019
83 Old #7 Loss 6-11 691.15 Jul 7th Huntsville Huckfest 2019
164 BATL Cows Win 12-10 1094.32 Aug 10th HoDown ShowDown 23 GOAT
99 Mutiny Loss 9-13 751.91 Aug 10th HoDown ShowDown 23 GOAT
38 Superlame Loss 10-12 1320.39 Aug 10th HoDown ShowDown 23 GOAT
74 Trash Pandas Loss 9-13 855.31 Aug 10th HoDown ShowDown 23 GOAT
165 APEX Loss 12-13 720.11 Aug 11th HoDown ShowDown 23 GOAT
153 Jackpot Loss 2-5 320.99 Aug 11th HoDown ShowDown 23 GOAT
159 Rowdy Win 12-10 1138.76 Aug 11th HoDown ShowDown 23 GOAT
175 Moonshine Win 8-6 1082.32 Aug 11th HoDown ShowDown 23 GOAT
34 'Shine Loss 7-13 1030.92 Sep 7th East Coast Mixed Club Sectional Championship 2019
21 Bucket Loss 11-12 1598.21 Sep 7th East Coast Mixed Club Sectional Championship 2019
167 Possum Win 17-9 1406.11 Sep 7th East Coast Mixed Club Sectional Championship 2019
165 APEX Win 13-5 1445.11 Sep 8th East Coast Mixed Club Sectional Championship 2019
165 APEX Win 12-11 970.11 Sep 8th East Coast Mixed Club Sectional Championship 2019
21 Bucket Loss 8-11 1357.6 Sep 8th East Coast Mixed Club Sectional Championship 2019
74 Trash Pandas Loss 7-13 716.35 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)