#246 Taco Cat (1-17)

avg: -96.17  •  sd: 108.57  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
122 Huntsville Outlaws** Loss 3-11 416.72 Ignored Jul 21st Bourbon Bash 2018
222 I-79 Loss 4-10 -215.66 Jul 21st Bourbon Bash 2018
134 Petey's Pirates** Loss 0-11 357.75 Ignored Jul 21st Bourbon Bash 2018
205 Fifth Element** Loss 4-11 -56.01 Ignored Jul 21st Bourbon Bash 2018
- Spidermonkeys Win 11-6 315.75 Jul 21st Bourbon Bash 2018
223 Petey's Scallywags Loss 5-13 -239.31 Jul 22nd Bourbon Bash 2018
238 Strictly Bidness Loss 10-12 -50.71 Jul 22nd Bourbon Bash 2018
- Spidermonkeys Loss 12-13 -355.95 Jul 22nd Bourbon Bash 2018
112 Mojo Jojo** Loss 0-13 462.39 Ignored Aug 4th Heavyweights 2018
217 Mastodon Loss 6-13 -116.96 Aug 4th Heavyweights 2018
137 ELevate** Loss 1-13 341.87 Ignored Aug 4th Heavyweights 2018
230 EDM Loss 7-11 -162.82 Aug 5th Heavyweights 2018
235 Skyhawks Loss 7-9 -34.83 Aug 5th Heavyweights 2018
186 Jabba** Loss 2-11 50.2 Ignored Sep 8th Central Plains Mixed Sectional Championship 2018
155 Liquid Hustle Loss 5-11 241.83 Sep 8th Central Plains Mixed Sectional Championship 2018
172 Los Heros** Loss 2-11 144.78 Ignored Sep 8th Central Plains Mixed Sectional Championship 2018
104 Shakedown** Loss 1-11 500.57 Ignored Sep 8th Central Plains Mixed Sectional Championship 2018
235 Skyhawks Loss 0-11 -355.49 Sep 8th Central 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)