#6 Scandal (22-9)

avg: 2176.6  •  sd: 47.26  •  top 16/20: 100%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
11 Wildfire Win 13-9 2285.57 Jul 13th TCT Pro Elite Challenge 2019
20 Grit Win 13-7 2165.59 Jul 13th TCT Pro Elite Challenge 2019
7 Phoenix Win 13-9 2470.42 Jul 13th TCT Pro Elite Challenge 2019
5 6ixers Win 12-9 2600.31 Jul 14th TCT Pro Elite Challenge 2019
14 Nemesis Win 13-6 2374.52 Jul 14th TCT Pro Elite Challenge 2019
4 Molly Brown Win 12-11 2405.55 Jul 14th TCT Pro Elite Challenge 2019
2 Brute Squad Loss 13-15 2216.51 Aug 2nd 2019 US Open Club Championship
10 Nightlock Win 14-12 2178.6 Aug 2nd 2019 US Open Club Championship
1 Fury Win 16-15 2566.46 Aug 3rd 2019 US Open Club Championship
2 Brute Squad Loss 14-15 2305.69 Aug 3rd 2019 US Open Club Championship
3 Seattle Riot Loss 11-15 1964.55 Aug 4th 2019 US Open Club Championship
13 Rival Win 14-11 2148.41 Aug 31st TCT Pro Championships 2019
3 Seattle Riot Loss 14-15 2220.71 Aug 31st TCT Pro Championships 2019
8 Schwa Win 15-11 2377.6 Aug 31st TCT Pro Championships 2019
5 6ixers Loss 12-14 2033.99 Sep 1st TCT Pro Championships 2019
2 Brute Squad Loss 8-13 1934.53 Sep 1st TCT Pro Championships 2019
4 Molly Brown Loss 12-13 2155.55 Sep 1st TCT Pro Championships 2019
29 Virginia Rebellion** Win 13-3 1986.08 Ignored Sep 21st Mid Atlantic Womens Club Regional Championship 2019
68 Eliza Furnace** Win 13-3 1261.79 Ignored Sep 21st Mid Atlantic Womens Club Regional Championship 2019
70 Broad City** Win 13-2 1242.29 Ignored Sep 21st Mid Atlantic Womens Club Regional Championship 2019
95 Suffrage** Win 13-0 687.59 Ignored Sep 21st Mid Atlantic Womens Club Regional Championship 2019
20 Grit Win 14-12 1829.01 Sep 22nd Mid Atlantic Womens Club Regional Championship 2019
63 Hot Metal** Win 15-5 1313.19 Ignored Sep 22nd Mid Atlantic Womens Club Regional Championship 2019
39 Pine Baroness** Win 15-2 1781.22 Ignored Sep 22nd Mid Atlantic Womens Club Regional Championship 2019
18 Iris Win 15-7 2276.17 Oct 24th USA Ultimate National Championships 2019
10 Nightlock Win 12-9 2303.01 Oct 24th USA Ultimate National Championships 2019
3 Seattle Riot Loss 11-15 1964.55 Oct 24th USA Ultimate National Championships 2019
7 Phoenix Loss 12-15 1751.36 Oct 25th USA Ultimate National Championships 2019
16 Pop Win 15-11 2061.87 Oct 25th USA Ultimate National Championships 2019
12 Siege Win 15-10 2303.71 Oct 25th USA Ultimate National Championships 2019
10 Nightlock Win 15-12 2258.13 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)