#107 BaNC (9-16)

avg: 775.64  •  sd: 66.11  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
108 Swamp Horse Loss 12-13 646.45 Jun 16th ATL Classic 2018
75 Omen Loss 7-13 435.21 Jun 16th ATL Classic 2018
- ATLiens Win 12-8 1239.52 Jun 16th ATL Classic 2018
55 Ironmen Loss 8-11 786.61 Jun 16th ATL Classic 2018
114 Cockfight Loss 12-13 638.48 Jun 17th ATL Classic 2018
145 Rampage Win 13-7 993.38 Jun 17th ATL Classic 2018
114 Cockfight Loss 3-7 163.48 Jun 17th ATL Classic 2018
98 Southern Hospitality Win 12-8 1290.2 Jul 21st Club Terminus 2018
23 Freaks Loss 10-13 1172.97 Jul 21st Club Terminus 2018
41 Coastal Empire Loss 8-12 829.18 Jul 22nd Club Terminus 2018
165 War Machine Win 13-6 703.5 Jul 22nd Club Terminus 2018
108 Swamp Horse Win 8-6 1071.95 Jul 22nd Club Terminus 2018
55 Ironmen Loss 7-13 594.69 Jul 22nd Club Terminus 2018
34 Lost Boys Loss 9-13 890.62 Aug 25th Rush Hour Round Robin 2018
102 H.O.G. Ultimate Loss 8-10 564.85 Aug 25th Rush Hour Round Robin 2018
133 Holy City Heathens Win 12-9 951.76 Aug 25th Rush Hour Round Robin 2018
66 Bullet Loss 7-13 484.05 Aug 25th Rush Hour Round Robin 2018
97 Rush Hour Loss 9-11 601.97 Aug 26th Rush Hour Round Robin 2018
98 Southern Hospitality Loss 8-11 483.44 Aug 26th Rush Hour Round Robin 2018
- Ra Win 13-5 796.87 Sep 8th North Carolina Mens Sectional Championship 2018
27 Turbine Loss 8-13 896.03 Sep 8th North Carolina Mens Sectional Championship 2018
- The Semple Temple** Win 13-4 568.03 Ignored Sep 8th North Carolina Mens Sectional Championship 2018
37 Brickhouse Loss 5-13 688.21 Sep 8th North Carolina Mens Sectional Championship 2018
- Ra Win 13-7 754.4 Sep 9th North Carolina Mens Sectional Championship 2018
37 Brickhouse Loss 9-13 869.65 Sep 9th North Carolina 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)