#2 Sockeye (20-4)

avg: 2035.16  •  sd: 69.45  •  top 16/20: 100%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
10 Doublewide Win 13-11 2041.32 Jul 7th TCT Pro Elite Challenge 2018
25 Medicine Men Win 13-8 1901.74 Jul 7th TCT Pro Elite Challenge 2018
16 Madison Club Win 13-6 2292.51 Jul 7th TCT Pro Elite Challenge 2018
20 Patrol Win 13-9 1959.27 Jul 8th TCT Pro Elite Challenge 2018
18 Pittsburgh Temper Loss 12-13 1546.4 Jul 8th TCT Pro Elite Challenge 2018
9 HIGH FIVE Win 13-8 2310.02 Jul 8th TCT Pro Elite Challenge 2018
26 Brickyard** Win 13-3 1998.84 Ignored Aug 18th TCT Elite Select Challenge 2018
19 Guerrilla Win 13-9 1966.46 Aug 18th TCT Elite Select Challenge 2018
24 Inception** Win 13-5 2021.34 Ignored Aug 18th TCT Elite Select Challenge 2018
17 SoCal Condors Win 13-6 2281.02 Aug 19th TCT Elite Select Challenge 2018
16 Madison Club Win 13-6 2292.51 Aug 19th TCT Elite Select Challenge 2018
12 Rhino Slam Loss 9-11 1530.47 Aug 25th CBR Memorial 2018
6 Furious George Win 11-10 1994.11 Aug 25th CBR Memorial 2018
40 Streetgang** Win 13-3 1875.1 Ignored Aug 25th CBR Memorial 2018
78 Rip City Ultimate** Win 13-4 1575.79 Ignored Sep 22nd Northwest Mens Regional Championship 2018
22 Voodoo Win 13-5 2104.47 Sep 22nd Northwest Mens Regional Championship 2018
38 Dark Star** Win 13-5 1879.92 Ignored Sep 22nd Northwest Mens Regional Championship 2018
12 Rhino Slam Win 13-9 2198.24 Sep 23rd Northwest Mens Regional Championship 2018
6 Furious George Loss 10-13 1540.97 Sep 23rd Northwest Mens Regional Championship 2018
10 Doublewide Win 14-11 2125.82 Oct 18th USA Ultimate National Championships 2018
18 Pittsburgh Temper Win 15-11 2052.56 Oct 18th USA Ultimate National Championships 2018
11 DiG Win 15-11 2178.41 Oct 18th USA Ultimate National Championships 2018
8 Sub Zero Win 15-10 2283.38 Oct 19th USA Ultimate National Championships 2018
3 PoNY Loss 11-12 1906.3 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)