#118 Adelphos (11-13)

avg: 718.38  •  sd: 72.1  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
29 Big Wrench** Loss 3-15 777.85 Ignored Jul 14th 2018 Philadelphia Select Classic II
50 Colt Loss 6-15 612.86 Jul 14th 2018 Philadelphia Select Classic II
68 John Doe Loss 7-15 439.2 Jul 14th 2018 Philadelphia Select Classic II
109 JAWN Loss 11-13 541.02 Jul 14th 2018 Philadelphia Select Classic II
36 CLE Smokestack Loss 5-11 699.63 Jul 15th 2018 Philadelphia Select Classic II
135 Helots Win 13-10 914.47 Aug 11th Nuccis Cup 2018
87 Westchester Magma Bears Loss 9-13 495.31 Aug 11th Nuccis Cup 2018
77 Deathsquad Loss 9-13 562.36 Aug 11th Nuccis Cup 2018
109 JAWN Win 13-11 998.7 Aug 11th Nuccis Cup 2018
- Bearproof Win 12-7 905.96 Aug 12th Nuccis Cup 2018
- Tune-UP Win 12-10 809.78 Aug 12th Nuccis Cup 2018
109 JAWN Win 13-7 1327.4 Aug 12th Nuccis Cup 2018
- Space Force** Win 13-3 264.69 Ignored Sep 8th Founders Mens Sectional Championship 2018
- Puppies Win 13-7 718.38 Sep 8th Founders Mens Sectional Championship 2018
42 CITYWIDE Special Loss 4-12 665.19 Sep 8th Founders Mens Sectional Championship 2018
76 Slag Dump Loss 6-13 390.89 Sep 8th Founders Mens Sectional Championship 2018
30 Garden State Ultimate Loss 7-13 793.02 Sep 15th Founders Mens Sectional Championship 2018
- Trenton Takers Win 13-7 889.73 Sep 15th Founders Mens Sectional Championship 2018
135 Helots Win 14-13 711.33 Sep 15th Founders Mens Sectional Championship 2018
52 Oakgrove Boys Loss 6-13 586.93 Sep 22nd Mid Atlantic Mens Regional Championship 2018
20 Patrol** Loss 3-13 940.7 Ignored Sep 22nd Mid Atlantic Mens Regional Championship 2018
109 JAWN Loss 8-11 404.26 Sep 22nd Mid Atlantic Mens Regional Championship 2018
148 Bomb Squad Win 14-13 495.44 Sep 23rd Mid Atlantic Mens Regional Championship 2018
126 Watchdogs Win 15-10 1125 Sep 23rd Mid Atlantic Mens Regional Championship 2018
**Blowout Eligible

FAQ

What is the uncertainty of the mean?
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
What's the algorithm again?
  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
Is there a longer explanation of all this?
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)