#3 Seattle Riot (26-3)

avg: 2345.71  •  sd: 73.41  •  top 16/20: 100%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
19 Underground Win 10-8 1923.94 Jun 22nd Eugene Summer Solstice 2019
32 FAB** Win 13-1 1891.9 Ignored Jun 22nd Eugene Summer Solstice 2019
8 Schwa Win 13-6 2596.44 Jun 22nd Eugene Summer Solstice 2019
26 Sneaky House Hippos** Win 13-1 2021.74 Ignored Jun 22nd Eugene Summer Solstice 2019
19 Underground** Win 13-4 2261.27 Ignored Jun 23rd Eugene Summer Solstice 2019
1 Fury Win 12-7 2961.97 Jun 23rd Eugene Summer Solstice 2019
28 Colorado Small Batch** Win 13-4 1995.57 Ignored Jun 23rd Eugene Summer Solstice 2019
1 Fury Win 16-14 2649.75 Aug 2nd 2019 US Open Club Championship
14 Nemesis Win 15-14 1899.52 Aug 2nd 2019 US Open Club Championship
6 Scandal Win 15-11 2557.77 Aug 4th 2019 US Open Club Championship
6 Scandal Win 15-14 2301.6 Aug 31st TCT Pro Championships 2019
4 Molly Brown Loss 10-13 1952.41 Aug 31st TCT Pro Championships 2019
8 Schwa Win 15-8 2561.25 Aug 31st TCT Pro Championships 2019
1 Fury Loss 12-14 2220.5 Sep 1st TCT Pro Championships 2019
2 Brute Squad Win 13-10 2758.84 Sep 1st TCT Pro Championships 2019
13 Rival Win 11-7 2301.97 Sep 1st TCT Pro Championships 2019
19 Underground Win 13-7 2218.8 Sep 21st Northwest Club Womens Regional Championship 2019
24 Elevate** Win 13-4 2064.37 Ignored Sep 21st Northwest Club Womens Regional Championship 2019
8 Schwa Win 13-10 2324.58 Sep 21st Northwest Club Womens Regional Championship 2019
36 Seattle Soul Win 13-6 1828.88 Sep 21st Northwest Club Womens Regional Championship 2019
9 Traffic Win 11-10 2088.67 Sep 22nd Northwest Club Womens Regional Championship 2019
9 Traffic Win 13-6 2563.67 Sep 22nd Northwest Club Womens Regional Championship 2019
26 Sneaky House Hippos** Win 13-4 2021.74 Ignored Sep 22nd Northwest Club Womens Regional Championship 2019
6 Scandal Win 15-11 2557.77 Oct 24th USA Ultimate National Championships 2019
18 Iris Win 15-7 2276.17 Oct 24th USA Ultimate National Championships 2019
10 Nightlock Win 15-8 2522.45 Oct 24th USA Ultimate National Championships 2019
5 6ixers Loss 12-14 2033.99 Oct 25th USA Ultimate National Championships 2019
7 Phoenix Win 15-10 2505.46 Oct 25th USA Ultimate National Championships 2019
4 Molly Brown Win 15-13 2494.73 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)