#6 6ixers (19-7)

avg: 2016.35  •  sd: 81.04  •  top 16/20: 99.9%

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# Opponent Result Game Rating Status Date Event
43 Green Means Go** Win 15-2 1596.6 Ignored Jun 2nd New York Warm Up 2018 Sanctioned Womens Event
24 Wicked Win 12-9 1837.53 Aug 18th TCT Elite Select Challenge 2018
48 Portland Ivy** Win 13-3 1432.97 Ignored Aug 18th TCT Elite Select Challenge 2018
11 Rival Loss 11-13 1575.34 Aug 18th TCT Elite Select Challenge 2018
17 Grit Win 13-4 2322.02 Aug 19th TCT Elite Select Challenge 2018
19 Pop Win 13-12 1804.32 Aug 19th TCT Elite Select Challenge 2018
32 FAB Win 15-7 1790.7 Sep 1st TCT Pro Championships 2018
17 Grit Win 15-8 2286.83 Sep 1st TCT Pro Championships 2018
1 Brute Squad Loss 6-15 1862.67 Sep 1st TCT Pro Championships 2018
16 Heist Win 15-12 2022.57 Sep 2nd TCT Pro Championships 2018
5 Scandal Loss 11-15 1721.93 Sep 2nd TCT Pro Championships 2018
22 BENT Win 15-5 2179.71 Sep 2nd TCT Pro Championships 2018
39 Savage** Win 13-4 1650.05 Ignored Sep 22nd Northeast Womens Regional Championship 2018
13 Stella Win 13-9 2161.07 Sep 22nd Northeast Womens Regional Championship 2018
22 BENT Win 13-9 1998.27 Sep 22nd Northeast Womens Regional Championship 2018
56 Brooklyn Book Club** Win 13-4 1293.61 Ignored Sep 22nd Northeast Womens Regional Championship 2018
21 Siege Win 15-8 2164.44 Sep 23rd Northeast Womens Regional Championship 2018
13 Stella Win 15-12 2042.99 Sep 23rd Northeast Womens Regional Championship 2018
1 Brute Squad Loss 7-15 1862.67 Sep 23rd Northeast Womens Regional Championship 2018
12 Traffic Win 15-9 2284.55 Oct 18th USA Ultimate National Championships 2018
2 Fury Loss 7-15 1760.71 Oct 18th USA Ultimate National Championships 2018
18 Phoenix Win 15-8 2262.48 Oct 18th USA Ultimate National Championships 2018
7 Ozone Win 15-11 2317.7 Oct 19th USA Ultimate National Championships 2018
11 Rival Win 15-12 2104.68 Oct 19th USA Ultimate National Championships 2018
1 Brute Squad Loss 7-15 1862.67 Oct 19th USA Ultimate National Championships 2018
5 Scandal Loss 13-15 1888.92 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)