#180 HAOS (7-18)

avg: 679.94  •  sd: 78.09  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
127 Funk Loss 8-9 855.88 Jul 7th AntlerLock 2018
189 DTX Win 9-6 1059.6 Jul 7th AntlerLock 2018
102 Titan NE Loss 4-9 506.96 Jul 7th AntlerLock 2018
154 Default Win 11-10 972.13 Jul 7th AntlerLock 2018
148 WHUF* Loss 12-15 579.69 Jul 8th AntlerLock 2018
150 Scarecrow Loss 8-15 302.6 Jul 8th AntlerLock 2018
53 Darkwing** Loss 5-12 734.27 Ignored Jul 21st Vacationland 2018
124 Albany Airbenders Win 11-6 1558.8 Jul 21st Vacationland 2018
148 WHUF* Loss 9-11 630.98 Jul 21st Vacationland 2018
150 Scarecrow Loss 9-10 742.4 Jul 21st Vacationland 2018
139 Nautilus Loss 6-12 336.58 Jul 22nd Vacationland 2018
102 Titan NE Loss 7-12 586.45 Jul 22nd Vacationland 2018
206 Varsity Loss 9-10 417.7 Aug 18th Chowdafest 2018
133 Townies Loss 6-13 361.15 Aug 18th Chowdafest 2018
53 Darkwing** Loss 4-13 734.27 Ignored Aug 18th Chowdafest 2018
139 Nautilus Loss 11-13 687.05 Aug 19th Chowdafest 2018
181 RIMIX Loss 5-11 72.36 Aug 19th Chowdafest 2018
107 Sunken Circus Loss 3-13 477.52 Aug 19th Chowdafest 2018
73 Chaotic Good Loss 5-15 665.65 Sep 8th East New England Mixed Sectional Championship 2018
107 Sunken Circus Loss 9-15 562.04 Sep 8th East New England Mixed Sectional Championship 2018
214 Face Off Win 15-10 946.66 Sep 8th East New England Mixed Sectional Championship 2018
195 Rainbow Win 15-14 720.18 Sep 8th East New England Mixed Sectional Championship 2018
- Drunk in Space Win 15-4 834.34 Sep 9th East New England Mixed Sectional Championship 2018
150 Scarecrow Win 12-10 1105.53 Sep 9th East New England Mixed Sectional Championship 2018
73 Chaotic Good Loss 4-12 665.65 Sep 9th East New England Mixed 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)