#23 Freaks (28-6)

avg: 1501.12  •  sd: 51.31  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
97 Rush Hour Win 7-3 1451.18 Jul 7th Huckfest 2018
71 UpRoar Win 13-5 1623.21 Jul 7th Huckfest 2018
101 Memphis Belle Win 13-6 1429.87 Jul 7th Huckfest 2018
55 Ironmen Win 13-8 1648.38 Jul 7th Huckfest 2018
98 Southern Hospitality** Win 13-3 1449.05 Ignored Jul 8th Huckfest 2018
55 Ironmen Win 13-5 1752.22 Jul 8th Huckfest 2018
61 Tanasi Win 13-6 1695.92 Jul 8th Huckfest 2018
107 BaNC Win 13-10 1103.78 Jul 21st Club Terminus 2018
41 Coastal Empire Win 12-11 1395.34 Jul 21st Club Terminus 2018
15 Chain Lightning Loss 11-12 1567.74 Jul 22nd Club Terminus 2018
104 Black Lung** Win 13-5 1408.72 Ignored Jul 22nd Club Terminus 2018
37 Brickhouse Win 13-10 1616.36 Jul 22nd Club Terminus 2018
98 Southern Hospitality Win 13-7 1406.58 Jul 22nd Club Terminus 2018
33 Richmond Floodwall Loss 12-13 1218.56 Aug 11th Chesapeake Open 2018
36 CLE Smokestack Win 13-12 1424.63 Aug 11th Chesapeake Open 2018
37 Brickhouse Loss 9-13 869.65 Aug 11th Chesapeake Open 2018
68 John Doe Win 13-6 1639.2 Aug 11th Chesapeake Open 2018
54 Blueprint Win 13-11 1387.52 Aug 12th Chesapeake Open 2018
37 Brickhouse Win 12-9 1633.58 Aug 12th Chesapeake Open 2018
25 Medicine Men Win 13-7 1963.11 Aug 12th Chesapeake Open 2018
34 Lost Boys Win 12-10 1547.31 Sep 8th East Coast Mens Sectional Championship 2018
102 H.O.G. Ultimate** Win 13-5 1427.51 Ignored Sep 8th East Coast Mens Sectional Championship 2018
61 Tanasi Win 13-4 1695.92 Sep 8th East Coast Mens Sectional Championship 2018
133 Holy City Heathens** Win 13-5 1206.4 Ignored Sep 8th East Coast Mens Sectional Championship 2018
15 Chain Lightning Loss 9-11 1443.53 Sep 9th East Coast Mens Sectional Championship 2018
41 Coastal Empire Win 13-7 1827.87 Sep 9th East Coast Mens Sectional Championship 2018
44 El Niño Win 13-10 1573.14 Sep 22nd Southeast Mens Regional Championship 2018
37 Brickhouse Loss 11-12 1163.21 Sep 22nd Southeast Mens Regional Championship 2018
27 Turbine Win 13-10 1720.33 Sep 22nd Southeast Mens Regional Championship 2018
102 H.O.G. Ultimate** Win 13-2 1427.51 Ignored Sep 22nd Southeast Mens Regional Championship 2018
15 Chain Lightning Loss 10-15 1239.14 Sep 23rd Southeast Mens Regional Championship 2018
37 Brickhouse Win 14-12 1509.17 Sep 23rd Southeast Mens Regional Championship 2018
71 UpRoar Win 15-9 1538.69 Sep 23rd Southeast Mens Regional Championship 2018
61 Tanasi Win 14-10 1494.62 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)