#151 LoveShack (12-20)

avg: 856.43  •  sd: 46.83  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
19 Bucket Loss 6-13 1105.23 Jun 16th ATL Classic 2018
82 Method Loss 5-13 632.62 Jun 16th ATL Classic 2018
244 Mixchief** Win 13-1 577.14 Ignored Jun 16th ATL Classic 2018
225 Big Bend Win 13-7 909.35 Jun 16th ATL Classic 2018
103 Trash Pandas Loss 12-13 980.22 Jun 17th ATL Classic 2018
122 Huntsville Outlaws Loss 10-13 688.58 Jun 17th ATL Classic 2018
212 Mixed Results Win 13-8 1010.21 Jul 7th Huckfest 2018
226 Baywatch Win 13-4 946.12 Jul 7th Huckfest 2018
177 OutKast Win 13-10 1025.28 Jul 7th Huckfest 2018
115 STAX Win 5-5 1037.43 Jul 7th Huckfest 2018
103 Trash Pandas Loss 8-13 609.06 Jul 8th Huckfest 2018
122 Huntsville Outlaws Loss 11-12 891.72 Jul 8th Huckfest 2018
115 STAX Loss 4-11 437.43 Jul 8th Huckfest 2018
27 Weird Loss 6-11 1031.15 Jul 21st Club Terminus 2018
54 JLP Loss 6-13 725.88 Jul 21st Club Terminus 2018
56 Murmur Loss 8-11 955.56 Jul 22nd Club Terminus 2018
90 Mutiny Loss 6-13 565.68 Jul 22nd Club Terminus 2018
226 Baywatch Win 13-2 946.12 Jul 22nd Club Terminus 2018
41 Storm Loss 7-12 958.65 Jul 22nd Club Terminus 2018
129 Moonshine Win 13-8 1467.73 Aug 11th HoDown%20ShowDown%20XXII
56 Murmur Loss 5-13 721.17 Aug 11th HoDown%20ShowDown%20XXII
98 Cahoots Loss 7-13 564.48 Aug 11th HoDown%20ShowDown%20XXII
155 Liquid Hustle Win 13-9 1260.39 Aug 11th HoDown%20ShowDown%20XXII
129 Moonshine Loss 9-11 722.36 Aug 12th HoDown%20ShowDown%20XXII
90 Mutiny Loss 11-14 852.35 Aug 12th HoDown%20ShowDown%20XXII
183 BRUH Win 14-6 1267.06 Aug 12th HoDown%20ShowDown%20XXII
105 Jackpot Loss 13-15 871.51 Aug 12th HoDown%20ShowDown%20XXII
212 Mixed Results Win 11-9 763.26 Sep 8th East Coast Mixed Sectional Championship 2018
84 'Shine Loss 7-13 663.93 Sep 8th East Coast Mixed Sectional Championship 2018
153 APEX Loss 9-12 507.99 Sep 8th East Coast Mixed Sectional Championship 2018
- sKNO cone Win 11-10 1022.96 Sep 8th East Coast Mixed Sectional Championship 2018
175 Possum Loss 11-12 607.49 Sep 9th East Coast 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)