#162 BATL Cows (11-15)

avg: 819.25  •  sd: 58.9  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
47 Huntsville Outlaws** Loss 3-13 841.37 Ignored Jun 15th ATL Classic 2019
272 Bold City Win 13-6 839.59 Jun 15th ATL Classic 2019
266 Orbit Win 12-3 860.34 Jun 15th ATL Classic 2019
231 Mississippi Blues Win 13-5 1055.34 Jun 15th ATL Classic 2019
278 Baywatch** Win 13-4 764.9 Ignored Jun 16th ATL Classic 2019
80 Trash Pandas Loss 6-12 618.78 Jun 16th ATL Classic 2019
130 m'kay Ultimate Loss 3-7 385.41 Jun 16th ATL Classic 2019
94 Mutiny Win 13-8 1624.97 Jul 20th 2019 Club Terminus
107 Shakedown Loss 5-13 492.86 Jul 20th 2019 Club Terminus
170 Magic City Mayhem Win 11-9 1012.35 Jul 20th 2019 Club Terminus
78 Memphis STAX Loss 10-12 969.21 Jul 20th 2019 Club Terminus
94 Mutiny Loss 6-13 528.81 Jul 21st 2019 Club Terminus
130 m'kay Ultimate Loss 9-13 566.84 Jul 21st 2019 Club Terminus
170 Magic City Mayhem Win 9-8 888.15 Jul 21st 2019 Club Terminus
94 Mutiny Loss 10-12 890.68 Aug 10th HoDown ShowDown 23 GOAT
84 sKNO cone Loss 10-12 927.28 Aug 10th HoDown ShowDown 23 GOAT
18 Superlame** Loss 4-13 1105.27 Ignored Aug 10th HoDown ShowDown 23 GOAT
80 Trash Pandas Loss 7-13 640.56 Aug 10th HoDown ShowDown 23 GOAT
149 Rowdy Win 14-10 1269.24 Aug 11th HoDown ShowDown 23 GOAT
83 FlyTrap Win 11-9 1417.5 Aug 11th HoDown ShowDown 23 GOAT
160 APEX Loss 13-15 614.44 Aug 11th HoDown ShowDown 23 GOAT
266 Orbit Win 10-8 523.01 Sep 7th East Coast Mixed Club Sectional Championship 2019
158 OutKast Loss 8-10 576.75 Sep 7th East Coast Mixed Club Sectional Championship 2019
35 'Shine** Loss 2-13 925.9 Ignored Sep 7th East Coast Mixed Club Sectional Championship 2019
222 Monster Win 13-8 1037.34 Sep 8th East Coast Mixed Club Sectional Championship 2019
160 APEX Loss 8-13 332.46 Sep 8th East Coast 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)