#122 Cockfight (5-9)

avg: 923.45  •  sd: 92.85  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
86 ATLiens Win 13-7 1672.47 Jul 20th 2019 Club Terminus
66 Ironmen Loss 6-12 648.85 Jul 20th 2019 Club Terminus
198 Villains Win 12-8 914.86 Jul 20th 2019 Club Terminus
151 Predator Win 9-8 891.7 Jul 20th 2019 Club Terminus
104 Charleston Heat Stroke Loss 7-13 467.69 Jul 21st 2019 Club Terminus
139 Space Cowboys Loss 9-11 584.92 Jul 21st 2019 Club Terminus
35 Tanasi Loss 7-13 916.1 Jul 21st 2019 Club Terminus
104 Charleston Heat Stroke Loss 9-13 606.65 Aug 24th FCS Invite 2019
75 Richmond Floodwall Loss 11-12 1040.17 Aug 24th FCS Invite 2019
82 Black Lung Win 10-6 1622.49 Aug 24th FCS Invite 2019
35 Tanasi Loss 4-13 873.63 Aug 24th FCS Invite 2019
51 Turbine Loss 9-11 1083.48 Aug 25th FCS Invite 2019
139 Space Cowboys Win 11-10 959.13 Aug 25th FCS Invite 2019
82 Black Lung Loss 9-15 610.85 Aug 25th FCS Invite 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)