#85 Dreadnought (19-4)

avg: 1115.25  •  sd: 57.31  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
27 H.I.P Loss 9-12 1203.19 Jun 29th Texas 2 Finger Mens and Womens
161 Supercell Win 13-8 1207.68 Jun 29th Texas 2 Finger Mens and Womens
208 Alamode** Win 13-5 1005.69 Ignored Jun 29th Texas 2 Finger Mens and Womens
182 E.V.I.L. Win 10-7 956.12 Jun 29th Texas 2 Finger Mens and Womens
91 Harvey Cats Win 14-10 1489.51 Jun 30th Texas 2 Finger Mens and Womens
36 Nitro Loss 7-15 863.41 Jun 30th Texas 2 Finger Mens and Womens
90 Choice City Hops Win 9-2 1703.6 Jul 20th The Royal Experience 2019
130 Kansas City Smokestack Win 11-6 1443.33 Jul 20th The Royal Experience 2019
60 Swans Win 9-7 1550.61 Jul 20th The Royal Experience 2019
183 Yacht Club Win 11-5 1164.6 Jul 20th The Royal Experience 2019
214 Tsunami B** Win 11-2 955.38 Ignored Jul 20th The Royal Experience 2019
56 Scythe Loss 10-15 834.45 Jul 21st The Royal Experience 2019
74 DeMo Win 12-11 1293.98 Jul 21st The Royal Experience 2019
147 Glycerine Loss 11-13 550.28 Aug 17th Hootie on the Hill 2019
161 Supercell Win 13-7 1269.05 Aug 17th Hootie on the Hill 2019
195 Rawhide** Win 13-4 1084.37 Ignored Aug 17th Hootie on the Hill 2019
147 Glycerine Win 14-13 904.12 Aug 18th Hootie on the Hill 2019
161 Supercell Win 4-3 836.52 Aug 18th Hootie on the Hill 2019
195 Rawhide Win 13-7 1041.91 Aug 18th Hootie on the Hill 2019
- Huckleberry** Win 15-4 694.88 Ignored Sep 7th Ozarks Mens Club Sectional Championship 2019
161 Supercell Win 15-9 1227 Sep 7th Ozarks Mens Club Sectional Championship 2019
195 Rawhide Win 15-8 1049.18 Sep 7th Ozarks Mens Club Sectional Championship 2019
161 Supercell Win 14-12 932.48 Sep 8th Ozarks Mens 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)