#223 Petey's Scallywags (7-16)

avg: 360.69  •  sd: 87.5  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
129 Moonshine Loss 5-9 442.51 Jul 7th Motown Throwdown 2018
147 Goose Lee Loss 1-11 283.61 Jul 7th Motown Throwdown 2018
32 UNION** Loss 2-11 940.8 Ignored Jul 7th Motown Throwdown 2018
45 Northern Comfort** Loss 2-11 835.86 Ignored Jul 7th Motown Throwdown 2018
155 Liquid Hustle Loss 4-11 241.83 Jul 7th Motown Throwdown 2018
217 Mastodon Win 15-14 608.04 Jul 8th Motown Throwdown 2018
211 Stackcats Loss 10-11 393.98 Jul 8th Motown Throwdown 2018
129 Moonshine** Loss 1-11 371.57 Ignored Jul 21st Bourbon Bash 2018
- Pocket City Approach Loss 7-9 -13.4 Jul 21st Bourbon Bash 2018
235 Skyhawks Loss 6-9 -174.06 Jul 21st Bourbon Bash 2018
198 Second Wind Loss 6-11 34.56 Jul 21st Bourbon Bash 2018
238 Strictly Bidness Win 10-8 450.08 Jul 21st Bourbon Bash 2018
- Spidermonkeys Win 12-4 369.05 Jul 22nd Bourbon Bash 2018
246 Taco Cat Win 13-5 503.83 Jul 22nd Bourbon Bash 2018
238 Strictly Bidness Win 8-6 487.9 Jul 22nd Bourbon Bash 2018
38 Columbus Cocktails** Loss 3-13 900.3 Ignored Sep 15th East Plains Mixed Sectional Championship 2018
171 North Coast Loss 5-13 150.72 Sep 15th East Plains Mixed Sectional Championship 2018
134 Petey's Pirates Loss 8-13 461.59 Sep 15th East Plains Mixed Sectional Championship 2018
140 Rocket LawnChair Loss 4-13 295.66 Sep 15th East Plains Mixed Sectional Championship 2018
196 Thunderpants the Magic Dragon Loss 8-12 153.3 Sep 16th East Plains Mixed Sectional Championship 2018
208 Bonfire Loss 10-11 409.69 Sep 16th East Plains Mixed Sectional Championship 2018
198 Second Wind Win 13-11 810.09 Sep 16th East Plains Mixed Sectional Championship 2018
205 Fifth Element Win 9-8 668.99 Sep 16th East Plains 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)