#109 JAWN (8-14)

avg: 769.86  •  sd: 65.02  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
118 Adelphos Win 13-11 947.23 Jul 14th 2018 Philadelphia Select Classic II
42 CITYWIDE Special Loss 9-15 749.71 Jul 14th 2018 Philadelphia Select Classic II
36 CLE Smokestack Loss 10-15 846.03 Jul 14th 2018 Philadelphia Select Classic II
54 Blueprint Loss 8-14 622.65 Jul 14th 2018 Philadelphia Select Classic II
29 Big Wrench Loss 5-10 803.95 Jul 15th 2018 Philadelphia Select Classic II
118 Adelphos Loss 11-13 489.54 Aug 11th Nuccis Cup 2018
- Bearproof Win 14-12 606.41 Aug 11th Nuccis Cup 2018
77 Deathsquad Win 12-11 1105.92 Aug 11th Nuccis Cup 2018
135 Helots Win 13-12 711.33 Aug 11th Nuccis Cup 2018
118 Adelphos Loss 7-13 160.85 Aug 12th Nuccis Cup 2018
87 Westchester Magma Bears Loss 13-14 788.88 Aug 12th Nuccis Cup 2018
125 Town Hall Stars Win 9-8 798.51 Aug 12th Nuccis Cup 2018
- 8$OLD Win 13-6 722.68 Sep 8th Founders Mens Sectional Championship 2018
42 CITYWIDE Special Loss 10-12 1027.07 Sep 8th Founders Mens Sectional Championship 2018
- Tune-UP Win 10-7 961.33 Sep 8th Founders Mens Sectional Championship 2018
76 Slag Dump Loss 7-10 601.22 Sep 8th Founders Mens Sectional Championship 2018
118 Adelphos Win 11-8 1083.99 Sep 22nd Mid Atlantic Mens Regional Championship 2018
30 Garden State Ultimate Loss 2-15 750.55 Sep 22nd Mid Atlantic Mens Regional Championship 2018
52 Oakgrove Boys Loss 5-13 586.93 Sep 22nd Mid Atlantic Mens Regional Championship 2018
20 Patrol Loss 6-13 940.7 Sep 22nd Mid Atlantic Mens Regional Championship 2018
76 Slag Dump Loss 10-15 537.28 Sep 23rd Mid Atlantic Mens Regional Championship 2018
52 Oakgrove Boys Loss 13-15 972.75 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)