#5 Scandal (26-7)

avg: 2103.1  •  sd: 59.17  •  top 16/20: 100%

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# Opponent Result Game Rating Status Date Event
16 Heist Win 13-12 1847.08 Jul 7th TCT Pro Elite Challenge 2018
22 BENT Win 13-10 1907.85 Jul 7th TCT Pro Elite Challenge 2018
8 Nightlock Win 13-11 2149.23 Jul 7th TCT Pro Elite Challenge 2018
12 Traffic Win 13-7 2326.6 Jul 8th TCT Pro Elite Challenge 2018
18 Phoenix Win 13-7 2255.21 Jul 8th TCT Pro Elite Challenge 2018
3 Molly Brown Loss 9-13 1855.01 Jul 8th TCT Pro Elite Challenge 2018
19 Pop Win 14-9 2153.19 Aug 3rd 2018 US Open Club Championships
11 Rival Win 12-8 2245.34 Aug 3rd 2018 US Open Club Championships
1 Brute Squad Loss 3-15 1862.67 Aug 3rd 2018 US Open Club Championships
7 Ozone Win 12-8 2377.69 Aug 4th 2018 US Open Club Championships
10 Nemesis Win 11-9 2073.69 Aug 4th 2018 US Open Club Championships
2 Fury Loss 5-15 1760.71 Aug 5th 2018 US Open Club Championships
3 Molly Brown Loss 10-15 1819.97 Aug 5th 2018 US Open Club Championships
7 Ozone Win 15-10 2390.14 Sep 1st TCT Pro Championships 2018
35 Hot Metal** Win 15-5 1737.96 Ignored Sep 1st TCT Pro Championships 2018
21 Siege Win 15-11 1980.8 Sep 1st TCT Pro Championships 2018
22 BENT Win 15-10 2033.31 Sep 2nd TCT Pro Championships 2018
6 6ixers Win 15-11 2397.52 Sep 2nd TCT Pro Championships 2018
1 Brute Squad Loss 10-15 2009.07 Sep 3rd TCT Pro Championships 2018
29 Virginia Rebellion** Win 13-3 1956.45 Ignored Sep 22nd Mid Atlantic Womens Regional Championship 2018
60 Eliza Furnace** Win 13-0 1206.57 Ignored Sep 22nd Mid Atlantic Womens Regional Championship 2018
43 Green Means Go** Win 13-4 1596.6 Ignored Sep 22nd Mid Atlantic Womens Regional Championship 2018
53 Backhanded** Win 13-0 1330.82 Ignored Sep 22nd Mid Atlantic Womens Regional Championship 2018
17 Grit Win 15-8 2286.83 Sep 23rd Mid Atlantic Womens Regional Championship 2018
64 Suffrage** Win 15-3 1107.05 Ignored Sep 23rd Mid Atlantic Womens Regional Championship 2018
35 Hot Metal** Win 15-3 1737.96 Ignored Sep 23rd Mid Atlantic Womens Regional Championship 2018
15 Wildfire Win 15-12 2023.84 Oct 18th USA Ultimate National Championships 2018
10 Nemesis Win 14-9 2298.35 Oct 18th USA Ultimate National Championships 2018
3 Molly Brown Loss 13-15 2059.39 Oct 18th USA Ultimate National Championships 2018
15 Wildfire Win 15-6 2323.35 Oct 19th USA Ultimate National Championships 2018
16 Heist Win 14-13 1847.08 Oct 19th USA Ultimate National Championships 2018
4 Seattle Riot Loss 11-14 1950.44 Oct 19th USA Ultimate National Championships 2018
6 6ixers Win 15-13 2230.53 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)