#231 Mississippi Blues (9-18)

avg: 455.34  •  sd: 56.73  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
162 BATL Cows Loss 5-13 219.25 Jun 15th ATL Classic 2019
278 Baywatch Win 12-11 289.9 Jun 15th ATL Classic 2019
47 Huntsville Outlaws** Loss 0-13 841.37 Ignored Jun 15th ATL Classic 2019
272 Bold City Win 11-6 786.29 Jun 15th ATL Classic 2019
272 Bold City Loss 8-10 -23.07 Jun 16th ATL Classic 2019
75 Auburn HeyDay** Loss 4-13 627.49 Ignored Jun 16th ATL Classic 2019
266 Orbit Win 13-8 756.5 Jun 16th ATL Classic 2019
266 Orbit Win 10-9 385.34 Jul 6th Huntsville Huckfest 2019
70 Old #7** Loss 5-13 634.51 Jul 6th Huntsville Huckfest 2019
80 Trash Pandas Loss 7-13 640.56 Jul 6th Huntsville Huckfest 2019
158 OutKast Loss 8-13 343.26 Jul 6th Huntsville Huckfest 2019
283 Craw Daddies Win 13-11 330.21 Jul 7th Huntsville Huckfest 2019
170 Magic City Mayhem Loss 6-13 163.15 Jul 7th Huntsville Huckfest 2019
222 Monster Loss 7-13 -16.35 Jul 7th Huntsville Huckfest 2019
254 Derby City Thunder Win 11-5 929.34 Aug 17th Mudbowl 2019
222 Monster Win 12-8 982.34 Aug 17th Mudbowl 2019
158 OutKast Loss 7-9 560.08 Aug 17th Mudbowl 2019
189 Hairy Otter Loss 8-13 169.81 Aug 18th Mudbowl 2019
254 Derby City Thunder Loss 8-10 66.67 Aug 18th Mudbowl 2019
222 Monster Win 10-8 803.85 Aug 18th Mudbowl 2019
47 Huntsville Outlaws** Loss 2-13 841.37 Ignored Sep 7th Gulf Coast Mixed Club Sectional Championship 2019
170 Magic City Mayhem Loss 7-12 242.63 Sep 7th Gulf Coast Mixed Club Sectional Championship 2019
213 Memphis Hustle & Flow Win 9-8 705.86 Sep 7th Gulf Coast Mixed Club Sectional Championship 2019
78 Memphis STAX** Loss 1-13 607.34 Ignored Sep 7th Gulf Coast Mixed Club Sectional Championship 2019
75 Auburn HeyDay Loss 6-11 680.8 Sep 8th Gulf Coast Mixed Club Sectional Championship 2019
170 Magic City Mayhem Loss 8-11 397.54 Sep 8th Gulf Coast Mixed Club Sectional Championship 2019
213 Memphis Hustle & Flow Loss 7-10 191.19 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)