#182 Rocket LawnChair (17-10)

avg: 769.7  •  sd: 58.26  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
263 SlipStream Win 11-1 935.55 Jul 6th Motown Throwdown 2019
249 Second Wind Win 11-4 1022.82 Jul 6th Motown Throwdown 2019
282 Sabers Win 11-3 776.95 Jul 6th Motown Throwdown 2019
135 Los Heros Loss 4-7 514.92 Jul 7th Motown Throwdown 2019
155 Goose Lee Loss 6-10 417.05 Jul 7th Motown Throwdown 2019
187 Pixel Win 10-6 1237.12 Jul 7th Motown Throwdown 2019
249 Second Wind Win 8-6 723.31 Jul 7th Motown Throwdown 2019
196 Petey's Scallywags Win 12-5 1300.71 Jul 20th Bourbon Bash 2019
266 I-79 Win 15-4 915.46 Jul 20th Bourbon Bash 2019
277 Indiana Pterodactyl Attack Win 14-7 806.2 Jul 20th Bourbon Bash 2019
74 Trash Pandas Loss 7-15 673.88 Jul 20th Bourbon Bash 2019
140 Crucible Loss 6-14 383.45 Jul 21st Bourbon Bash 2019
217 Pi+ Win 13-10 943.19 Jul 21st Bourbon Bash 2019
170 Thunderpants the Magic Dragon Win 6-5 932.18 Jul 21st Bourbon Bash 2019
129 Bird Loss 3-13 435.56 Aug 17th Cooler Classic 31
192 Jabba Win 12-11 833.36 Aug 17th Cooler Classic 31
289 Taco Cat** Win 13-2 567.09 Ignored Aug 17th Cooler Classic 31
122 Pandamonium Loss 2-11 481.72 Aug 18th Cooler Classic 31
160 EMU Win 13-11 1123.76 Aug 18th Cooler Classic 31
172 Prion Loss 2-7 199.14 Aug 18th Cooler Classic 31
196 Petey's Scallywags Loss 6-11 154.02 Sep 7th East Plains Mixed Club Sectional Championship 2019
286 Cleveland Rocks Win 13-6 698.37 Sep 7th East Plains Mixed Club Sectional Championship 2019
187 Pixel Loss 12-13 615.96 Sep 7th East Plains Mixed Club Sectional Championship 2019
17 Steamboat Loss 6-13 1177.25 Sep 7th East Plains Mixed Club Sectional Championship 2019
257 Derby City Thunder Win 15-7 977.02 Sep 8th East Plains Mixed Club Sectional Championship 2019
251 Mishigami Win 15-13 630.37 Sep 8th East Plains Mixed Club Sectional Championship 2019
228 Midwestern Mediocrity Win 11-5 1125.94 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)