#187 Pixel (9-11)

avg: 740.96  •  sd: 56.32  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
231 Buffalo Brain Freeze Win 10-5 1085 Jul 6th Motown Throwdown 2019
289 Taco Cat** Win 11-4 567.09 Ignored Jul 6th Motown Throwdown 2019
175 Moonshine Loss 8-9 656.83 Jul 6th Motown Throwdown 2019
257 Derby City Thunder Win 11-4 977.02 Jul 7th Motown Throwdown 2019
132 Liquid Hustle Loss 4-9 423.82 Jul 7th Motown Throwdown 2019
182 Rocket LawnChair Loss 6-10 273.54 Jul 7th Motown Throwdown 2019
175 Moonshine Loss 8-9 656.83 Jul 7th Motown Throwdown 2019
196 Petey's Scallywags Win 13-9 1119.28 Aug 24th Indy Invite Club 2019
132 Liquid Hustle Loss 8-13 527.66 Aug 24th Indy Invite Club 2019
135 Los Heros Loss 9-12 665.71 Aug 24th Indy Invite Club 2019
196 Petey's Scallywags Win 12-10 938.84 Aug 25th Indy Invite Club 2019
170 Thunderpants the Magic Dragon Loss 8-10 544.51 Aug 25th Indy Invite Club 2019
251 Mishigami Win 12-6 995.5 Aug 25th Indy Invite Club 2019
33 Hybrid** Loss 3-13 1000.57 Ignored Sep 7th East Plains Mixed Club Sectional Championship 2019
205 Pi+ Loss 9-11 427 Sep 7th East Plains Mixed Club Sectional Championship 2019
170 Thunderpants the Magic Dragon Loss 11-12 682.18 Sep 7th East Plains Mixed Club Sectional Championship 2019
182 Rocket LawnChair Win 13-12 894.7 Sep 7th East Plains Mixed Club Sectional Championship 2019
196 Petey's Scallywags Win 14-10 1099.41 Sep 8th East Plains Mixed Club Sectional Championship 2019
155 Goose Lee Loss 8-12 472.05 Sep 8th East Plains Mixed Club Sectional Championship 2019
228 Midwestern Mediocrity Win 12-10 764.06 Sep 8th East Plains 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)