#9 Snake Country (8-8)

avg: 1925.76  •  sd: 44.38  •  top 16/20: 99.7%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
110 Battleship** Win 15-4 1726.24 Ignored Jun 22nd Boston Invite 2019
39 Darkwing Win 11-7 2007.96 Jun 22nd Boston Invite 2019
4 Slow White Loss 11-12 1890.39 Jun 22nd Boston Invite 2019
68 Metro North Win 11-6 1861.94 Jun 22nd Boston Invite 2019
2 AMP Loss 9-13 1688.8 Jun 23rd Boston Invite 2019
61 Chaotic Good Win 15-6 1951.87 Jun 23rd Boston Invite 2019
5 Wild Card Loss 12-14 1781.79 Jun 23rd Boston Invite 2019
1 Drag'n Thrust Loss 12-15 1895.87 Aug 2nd 2019 US Open Club Championship
1 Drag'n Thrust Loss 10-15 1742.76 Aug 3rd 2019 US Open Club Championship
7 Mischief Win 13-10 2255.66 Aug 4th 2019 US Open Club Championship
2 AMP Loss 9-13 1688.8 Aug 31st TCT Pro Championships 2019
37 Jughandle Win 11-9 1812.17 Aug 31st TCT Pro Championships 2019
8 shame. Loss 9-11 1677.39 Aug 31st TCT Pro Championships 2019
13 Toro Win 11-8 2216.09 Aug 31st TCT Pro Championships 2019
2 AMP Loss 12-14 1886.41 Sep 1st TCT Pro Championships 2019
4 Slow White Win 15-11 2396.56 Sep 1st TCT Pro Championships 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)