#213 Memphis Hustle & Flow (6-14)

avg: 580.86  •  sd: 69.45  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
75 Auburn HeyDay Loss 6-13 627.49 Jul 6th Huntsville Huckfest 2019
170 Magic City Mayhem Win 13-8 1259.31 Jul 6th Huntsville Huckfest 2019
84 sKNO cone Loss 6-13 565.41 Jul 6th Huntsville Huckfest 2019
165 Possum Win 13-10 1133.66 Jul 6th Huntsville Huckfest 2019
35 'Shine** Loss 5-13 925.9 Ignored Jul 7th Huntsville Huckfest 2019
70 Old #7** Loss 5-15 634.51 Jul 7th Huntsville Huckfest 2019
158 OutKast Win 11-10 964.42 Jul 7th Huntsville Huckfest 2019
191 Be Reasonable Loss 5-13 65.01 Aug 17th Hootie on the Hill 2019
113 blOKC party Loss 9-13 648.12 Aug 17th Hootie on the Hill 2019
73 7 Sins** Loss 4-13 629.91 Ignored Aug 17th Hootie on the Hill 2019
159 Tex Mix Loss 3-13 236.22 Aug 17th Hootie on the Hill 2019
247 rubber duck ultimate. Win 15-10 838.75 Aug 18th Hootie on the Hill 2019
297 NWA White Tails Win 15-8 92.99 Aug 18th Hootie on the Hill 2019
47 Huntsville Outlaws** Loss 4-11 841.37 Ignored Sep 7th Gulf Coast Mixed Club Sectional Championship 2019
75 Auburn HeyDay** Loss 4-12 627.49 Ignored Sep 7th Gulf Coast Mixed Club Sectional Championship 2019
170 Magic City Mayhem Loss 9-12 417.78 Sep 7th Gulf Coast Mixed Club Sectional Championship 2019
231 Mississippi Blues Loss 8-9 330.34 Sep 7th Gulf Coast Mixed Club Sectional Championship 2019
75 Auburn HeyDay** Loss 4-10 627.49 Ignored Sep 8th Gulf Coast Mixed Club Sectional Championship 2019
78 Memphis STAX** Loss 4-13 607.34 Ignored Sep 8th Gulf Coast Mixed Club Sectional Championship 2019
231 Mississippi Blues Win 10-7 845 Sep 8th Gulf 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)