#37 Brickhouse (15-9)

avg: 1288.21  •  sd: 93.76  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
34 Lost Boys Loss 10-12 1071.07 Jul 21st Club Terminus 2018
55 Ironmen Win 11-8 1517.83 Jul 21st Club Terminus 2018
66 Bullet Win 12-7 1562.1 Jul 22nd Club Terminus 2018
108 Swamp Horse Win 13-7 1328.99 Jul 22nd Club Terminus 2018
23 Freaks Loss 10-13 1172.97 Jul 22nd Club Terminus 2018
33 Richmond Floodwall Loss 5-13 743.56 Aug 11th Chesapeake Open 2018
54 Blueprint Loss 6-11 611.99 Aug 11th Chesapeake Open 2018
23 Freaks Win 13-9 1919.68 Aug 11th Chesapeake Open 2018
68 John Doe Win 13-9 1457.77 Aug 11th Chesapeake Open 2018
36 CLE Smokestack Win 12-11 1424.63 Aug 12th Chesapeake Open 2018
34 Lost Boys Win 13-11 1538.03 Aug 12th Chesapeake Open 2018
23 Freaks Loss 9-12 1155.75 Aug 12th Chesapeake Open 2018
107 BaNC Win 13-5 1375.64 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 13-1 568.03 Ignored Sep 8th North Carolina Mens Sectional Championship 2018
- Ra** Win 13-3 796.87 Ignored Sep 8th North Carolina Mens Sectional Championship 2018
107 BaNC Win 13-9 1194.21 Sep 9th North Carolina Mens Sectional Championship 2018
27 Turbine Loss 7-12 871.68 Sep 9th North Carolina Mens Sectional Championship 2018
4 Ring of Fire Loss 6-13 1393.74 Sep 22nd Southeast Mens Regional Championship 2018
44 El Niño Win 15-14 1370 Sep 22nd Southeast Mens Regional Championship 2018
102 H.O.G. Ultimate Win 13-7 1385.05 Sep 22nd Southeast Mens Regional Championship 2018
23 Freaks Win 12-11 1626.12 Sep 22nd Southeast Mens Regional Championship 2018
44 El Niño Win 12-11 1370 Sep 23rd Southeast Mens Regional Championship 2018
23 Freaks Loss 12-14 1280.16 Sep 23rd Southeast Mens Regional 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)