#98 Southern Hospitality (12-13)

avg: 849.05  •  sd: 63.98  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
115 Rougaroux Loss 9-10 629.42 Jul 7th Huckfest 2018
97 Rush Hour Loss 4-13 251.18 Jul 7th Huckfest 2018
61 Tanasi Loss 7-13 538.39 Jul 7th Huckfest 2018
- Austin Amigos Win 10-4 942.14 Jul 7th Huckfest 2018
71 UpRoar Win 10-9 1148.21 Jul 8th Huckfest 2018
23 Freaks** Loss 3-13 901.12 Ignored Jul 8th Huckfest 2018
102 H.O.G. Ultimate Win 12-10 1065.64 Jul 8th Huckfest 2018
107 BaNC Loss 8-12 334.48 Jul 21st Club Terminus 2018
41 Coastal Empire Loss 10-13 942.19 Jul 21st Club Terminus 2018
97 Rush Hour Win 9-7 1130.51 Jul 22nd Club Terminus 2018
23 Freaks Loss 7-13 943.58 Jul 22nd Club Terminus 2018
55 Ironmen Loss 8-11 786.61 Jul 22nd Club Terminus 2018
108 Swamp Horse Loss 9-13 352.89 Jul 22nd Club Terminus 2018
97 Rush Hour Win 12-11 976.18 Aug 25th Rush Hour Round Robin 2018
102 H.O.G. Ultimate Win 12-7 1348.03 Aug 25th Rush Hour Round Robin 2018
133 Holy City Heathens Win 12-9 951.76 Aug 25th Rush Hour Round Robin 2018
107 BaNC Win 11-8 1141.25 Aug 26th Rush Hour Round Robin 2018
66 Bullet Loss 9-12 696.22 Aug 26th Rush Hour Round Robin 2018
34 Lost Boys Loss 9-11 1059.98 Aug 26th Rush Hour Round Robin 2018
115 Rougaroux Win 11-10 879.42 Sep 8th Gulf Coast Mens Sectional Championship 2018
106 Battleship Loss 10-11 652.88 Sep 8th Gulf Coast Mens Sectional Championship 2018
165 War Machine Win 13-6 703.5 Sep 8th Gulf Coast Mens Sectional Championship 2018
101 Memphis Belle Win 10-8 1092.54 Sep 8th Gulf Coast Mens Sectional Championship 2018
55 Ironmen Loss 5-13 552.22 Sep 9th Gulf Coast Mens Sectional Championship 2018
145 Rampage Win 12-6 1015.16 Sep 9th Gulf Coast Mens 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)