#120 Funk (15-10)

avg: 1086.78  •  sd: 59.61  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
133 Night Shift Win 10-7 1409.73 Jul 6th AntlerLock 2019
137 Default Loss 9-11 750.86 Jul 6th AntlerLock 2019
148 Scarecrow Loss 10-12 690.59 Jul 6th AntlerLock 2019
229 Enough Monkeys Win 13-7 1081.64 Jul 7th AntlerLock 2019
224 Side Hustle Win 14-10 984.53 Jul 7th AntlerLock 2019
133 Night Shift Loss 9-10 895.06 Jul 7th AntlerLock 2019
126 Farm Show Win 9-8 1172.51 Aug 10th Nuccis Cup 2019
112 Stoke Win 13-5 1713.57 Aug 10th Nuccis Cup 2019
180 Varsity Win 9-7 1052.1 Aug 10th Nuccis Cup 2019
180 Varsity Win 15-12 1073.26 Aug 11th Nuccis Cup 2019
112 Stoke Loss 12-13 988.57 Aug 11th Nuccis Cup 2019
208 TBD Win 11-6 1208.4 Aug 24th The Incident 2019 Age of Ultimatron
177 Unlimited Swipes Win 10-7 1170.52 Aug 24th The Incident 2019 Age of Ultimatron
293 Turnstyle** Win 13-1 439.57 Ignored Aug 24th The Incident 2019 Age of Ultimatron
94 Soft Boiled Loss 8-13 685.79 Aug 24th The Incident 2019 Age of Ultimatron
96 Birds Win 11-3 1778.39 Aug 25th The Incident 2019 Age of Ultimatron
86 Eat Lightning Loss 10-12 983.72 Aug 25th The Incident 2019 Age of Ultimatron
85 HVAC Win 13-5 1831.84 Aug 25th The Incident 2019 Age of Ultimatron
96 Birds Win 12-10 1416.52 Sep 7th Metro New York Mixed Club Sectional Championship 2019
86 Eat Lightning Loss 9-17 651.83 Sep 7th Metro New York Mixed Club Sectional Championship 2019
194 Nautilus Win 17-7 1303.4 Sep 7th Metro New York Mixed Club Sectional Championship 2019
96 Birds Loss 8-15 613.58 Sep 8th Metro New York Mixed Club Sectional Championship 2019
173 Alt Stacks Win 14-12 1013.12 Sep 8th Metro New York Mixed Club Sectional Championship 2019
68 Metro North Loss 10-15 861.64 Sep 8th Metro New York Mixed Club Sectional Championship 2019
81 The Feminists Loss 9-14 778.86 Sep 8th Metro New York Mixed 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)