#181 RIMIX (11-15)

avg: 672.36  •  sd: 64.55  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
108 Alt Stacks Loss 7-12 556.98 Jul 21st Vacationland 2018
- Rising Tide Loss 10-11 379.69 Jul 21st Vacationland 2018
214 Face Off Win 10-9 618.06 Jul 21st Vacationland 2018
107 Sunken Circus Loss 7-13 519.99 Jul 21st Vacationland 2018
189 DTX Loss 7-10 251.37 Jul 21st Vacationland 2018
124 Albany Airbenders Loss 4-14 412.1 Jul 22nd Vacationland 2018
231 BLT Stacks Win 12-8 739.82 Jul 22nd Vacationland 2018
102 Titan NE Loss 6-15 506.96 Aug 4th White Mountain Mixed 2018
195 Rainbow Win 14-7 1178.07 Aug 4th White Mountain Mixed 2018
214 Face Off Win 15-10 946.66 Aug 4th White Mountain Mixed 2018
189 DTX Loss 11-15 259.87 Aug 4th White Mountain Mixed 2018
237 Turnstyle Win 15-4 805.28 Aug 5th White Mountain Mixed 2018
33 League of Shadows** Loss 3-15 935.95 Ignored Aug 5th White Mountain Mixed 2018
189 DTX Win 15-8 1205.84 Aug 5th White Mountain Mixed 2018
139 Nautilus Loss 12-13 790.89 Aug 18th Chowdafest 2018
133 Townies Loss 7-13 403.62 Aug 18th Chowdafest 2018
53 Darkwing** Loss 4-13 734.27 Ignored Aug 18th Chowdafest 2018
206 Varsity Win 10-9 667.7 Aug 19th Chowdafest 2018
206 Varsity Win 10-7 932.36 Aug 19th Chowdafest 2018
180 HAOS Win 11-5 1279.94 Aug 19th Chowdafest 2018
148 WHUF* Loss 7-13 322.65 Aug 19th Chowdafest 2018
33 League of Shadows** Loss 3-15 935.95 Ignored Sep 8th East New England Mixed Sectional Championship 2018
150 Scarecrow Loss 8-15 302.6 Sep 8th East New England Mixed Sectional Championship 2018
- Drunk in Space Win 15-3 834.34 Sep 8th East New England Mixed Sectional Championship 2018
189 DTX Loss 10-11 516.04 Sep 8th East New England Mixed Sectional Championship 2018
214 Face Off Win 15-10 946.66 Sep 9th East New England Mixed Sectional Championship 2018
**Blowout Eligible

FAQ

What is the uncertainty of the mean?
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
What's the algorithm again?
  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
Is there a longer explanation of all this?
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)