#8 Sub Zero (18-12)

avg: 1829.77  •  sd: 86.1  •  top 16/20: 88.5%

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# Opponent Result Game Rating Status Date Event
18 Pittsburgh Temper Loss 10-13 1343.25 Jul 7th TCT Pro Elite Challenge 2018
3 PoNY Win 13-9 2449.87 Jul 7th TCT Pro Elite Challenge 2018
9 HIGH FIVE Win 13-12 1938.86 Jul 7th TCT Pro Elite Challenge 2018
10 Doublewide Loss 8-13 1316.32 Jul 8th TCT Pro Elite Challenge 2018
5 Truck Stop Win 13-11 2165.7 Jul 8th TCT Pro Elite Challenge 2018
19 Guerrilla Loss 8-13 1051.73 Jul 8th TCT Pro Elite Challenge 2018
7 Chicago Machine Win 15-9 2360.41 Aug 3rd 2018 US Open Club Championships
13 Johnny Bravo Win 15-12 2076.95 Aug 3rd 2018 US Open Club Championships
1 Revolver Win 17-16 2204.65 Aug 4th 2018 US Open Club Championships
4 Ring of Fire Loss 9-12 1648.37 Aug 4th 2018 US Open Club Championships
3 PoNY Loss 8-14 1495.26 Aug 5th 2018 US Open Club Championships
1 Revolver Loss 11-15 1698.48 Sep 1st TCT Pro Championships 2018
5 Truck Stop Loss 12-14 1715.91 Sep 1st TCT Pro Championships 2018
9 HIGH FIVE Win 15-9 2329.34 Sep 1st TCT Pro Championships 2018
11 DiG Loss 14-16 1588.95 Sep 2nd TCT Pro Championships 2018
20 Patrol Win 15-9 2056.19 Sep 2nd TCT Pro Championships 2018
9 HIGH FIVE Loss 8-15 1249.05 Sep 2nd TCT Pro Championships 2018
95 Scythe** Win 13-4 1479.07 Ignored Sep 22nd North Central Mens Regional Championship 2018
60 DeMo Win 13-7 1654.11 Sep 22nd North Central Mens Regional Championship 2018
21 Prairie Fire Win 13-10 1836.32 Sep 22nd North Central Mens Regional Championship 2018
72 Swans** Win 13-3 1616.86 Ignored Sep 22nd North Central Mens Regional Championship 2018
39 Mad Men Win 13-10 1607.11 Sep 23rd North Central Mens Regional Championship 2018
16 Madison Club Win 15-14 1817.51 Sep 23rd North Central Mens Regional Championship 2018
1 Revolver Loss 11-15 1698.48 Oct 18th USA Ultimate National Championships 2018
16 Madison Club Win 15-10 2146.12 Oct 18th USA Ultimate National Championships 2018
9 HIGH FIVE Win 15-13 2028.03 Oct 18th USA Ultimate National Championships 2018
5 Truck Stop Loss 11-13 1708.02 Oct 19th USA Ultimate National Championships 2018
2 Sockeye Loss 10-15 1581.56 Oct 19th USA Ultimate National Championships 2018
6 Furious George Win 14-12 2090.07 Oct 19th USA Ultimate National Championships 2018
6 Furious George Win 15-13 2083.29 Oct 20th USA Ultimate National Championships 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)