#7 Sub Zero (19-10)

avg: 1985.71  •  sd: 55.87  •  top 16/20: 100%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
10 GOAT Loss 12-13 1756 Jul 13th TCT Pro Elite Challenge 2019
32 Prairie Fire Win 13-7 2041.26 Jul 13th TCT Pro Elite Challenge 2019
1 Sockeye Win 15-14 2383.77 Jul 13th TCT Pro Elite Challenge 2019
5 Chicago Machine Loss 11-12 1962.11 Jul 14th TCT Pro Elite Challenge 2019
16 Johnny Bravo Win 13-8 2285.69 Jul 14th TCT Pro Elite Challenge 2019
41 Inception Win 13-6 2020.45 Jul 14th TCT Pro Elite Challenge 2019
6 Revolver Loss 11-15 1657.4 Aug 2nd 2019 US Open Club Championship
5 Chicago Machine Win 16-14 2295.4 Aug 2nd 2019 US Open Club Championship
2 Truck Stop Loss 12-15 1880.53 Aug 3rd 2019 US Open Club Championship
11 Pittsburgh Temper Win 14-12 2082.7 Aug 31st TCT Pro Championships 2019
12 Doublewide Win 15-10 2309.11 Aug 31st TCT Pro Championships 2019
3 Ring of Fire Loss 7-15 1569 Aug 31st TCT Pro Championships 2019
2 Truck Stop Win 15-13 2395.2 Sep 1st TCT Pro Championships 2019
4 PoNY Loss 11-12 1983.42 Sep 1st TCT Pro Championships 2019
25 General Strike Loss 8-11 1233.84 Sep 21st North Central Club Mens Regional Championship
59 Scythe** Win 11-3 1882.8 Ignored Sep 21st North Central Club Mens Regional Championship
32 Prairie Fire Win 11-7 1950.62 Sep 21st North Central Club Mens Regional Championship
43 MKE Win 11-5 2011.33 Sep 21st North Central Club Mens Regional Championship
116 Timber** Win 11-3 1568.84 Ignored Sep 21st North Central Club Mens Regional Championship
30 Mad Men Win 15-5 2096.08 Sep 22nd North Central Club Mens Regional Championship
45 Mallard Win 15-7 1997.23 Sep 22nd North Central Club Mens Regional Championship
18 Yogosbo Win 15-9 2231.61 Sep 22nd North Central Club Mens Regional Championship
16 Johnny Bravo Win 15-12 2090.02 Oct 24th USA Ultimate National Championships 2019
11 Pittsburgh Temper Win 15-13 2075.93 Oct 24th USA Ultimate National Championships 2019
4 PoNY Loss 13-14 1983.42 Oct 24th USA Ultimate National Championships 2019
10 GOAT Win 15-12 2181.49 Oct 25th USA Ultimate National Championships 2019
1 Sockeye Loss 9-15 1743.28 Oct 25th USA Ultimate National Championships 2019
6 Revolver Loss 12-15 1738.08 Oct 25th USA Ultimate National Championships 2019
13 Furious George Win 14-13 1961.56 Oct 26th USA Ultimate National 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)