#76 Slag Dump (12-8)

avg: 990.89  •  sd: 116.14  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
33 Richmond Floodwall Loss 4-11 743.56 Jul 28th 2018 Richmond Stonewalled
157 Winc City Fog of War Win 9-4 893.22 Jul 28th 2018 Richmond Stonewalled
125 Town Hall Stars Win 10-9 798.51 Jul 28th 2018 Richmond Stonewalled
27 Turbine Loss 3-13 792.19 Jul 29th 2018 Richmond Stonewalled
52 Oakgrove Boys Win 13-8 1683.09 Jul 29th 2018 Richmond Stonewalled
127 Dynasty Win 15-12 952.46 Aug 18th Oshadega Ultimate Invite 2018
51 BroCats Loss 6-15 589.85 Aug 18th Oshadega Ultimate Invite 2018
65 Mango Tree Loss 11-14 730.83 Aug 18th Oshadega Ultimate Invite 2018
72 Swans Win 15-9 1532.34 Aug 19th Oshadega Ultimate Invite 2018
90 Omen Loss 11-15 519.86 Aug 19th Oshadega Ultimate Invite 2018
- 8$OLD** Win 13-5 722.68 Ignored Sep 8th Founders Mens Sectional Championship 2018
118 Adelphos Win 13-6 1318.38 Sep 8th Founders Mens Sectional Championship 2018
- Tune-UP Win 13-4 1171.66 Sep 8th Founders Mens Sectional Championship 2018
109 JAWN Win 10-7 1159.53 Sep 8th Founders Mens Sectional Championship 2018
42 CITYWIDE Special Loss 10-13 937.05 Sep 22nd Mid Atlantic Mens Regional Championship 2018
148 Bomb Squad Win 13-7 927.97 Sep 22nd Mid Atlantic Mens Regional Championship 2018
5 Truck Stop** Loss 3-13 1336.86 Ignored Sep 22nd Mid Atlantic Mens Regional Championship 2018
68 John Doe Loss 7-15 439.2 Sep 22nd Mid Atlantic Mens Regional Championship 2018
58 Rumspringa Win 15-13 1312.7 Sep 23rd Mid Atlantic Mens Regional Championship 2018
109 JAWN Win 15-10 1223.47 Sep 23rd Mid Atlantic Mens Regional 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)