#15 Ozone (11-15)

avg: 1726.66  •  sd: 68.08  •  top 16/20: 98.4%

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# Opponent Result Game Rating Status Date Event
27 Wicked Win 13-5 2001.32 Jul 13th TCT Pro Elite Challenge 2019
5 6ixers Loss 11-13 2026.11 Jul 13th TCT Pro Elite Challenge 2019
13 Rival Loss 10-13 1506.93 Jul 13th TCT Pro Elite Challenge 2019
11 Wildfire Win 13-12 1992 Jul 14th TCT Pro Elite Challenge 2019
7 Phoenix Loss 10-13 1723.71 Jul 14th TCT Pro Elite Challenge 2019
10 Nightlock Loss 11-12 1832.64 Jul 14th TCT Pro Elite Challenge 2019
11 Wildfire Loss 13-14 1742 Aug 17th TCT Elite Select Challenge 2019
54 Dish** Win 15-2 1501.33 Ignored Aug 17th TCT Elite Select Challenge 2019
17 Showdown Win 15-10 2133.81 Aug 17th TCT Elite Select Challenge 2019
19 Underground Win 13-3 2261.27 Aug 18th TCT Elite Select Challenge 2019
20 Grit Win 9-6 2026.62 Aug 18th TCT Elite Select Challenge 2019
13 Rival Loss 9-10 1710.07 Aug 18th TCT Elite Select Challenge 2019
12 Siege Loss 6-9 1431.54 Aug 18th TCT Elite Select Challenge 2019
49 Fiasco** Win 15-1 1625.1 Ignored Sep 21st Southeast Club Womens Regional Championship 2019
46 Queen Cake** Win 15-4 1670.96 Ignored Sep 21st Southeast Club Womens Regional Championship 2019
30 Steel Win 15-7 1948.29 Sep 21st Southeast Club Womens Regional Championship 2019
7 Phoenix Loss 8-13 1555.7 Sep 22nd Southeast Club Womens Regional Championship 2019
23 Tabby Rosa Win 13-7 2053.16 Sep 22nd Southeast Club Womens Regional Championship 2019
23 Tabby Rosa Win 13-9 1914.19 Sep 22nd Southeast Club Womens Regional Championship 2019
9 Traffic Loss 11-15 1582.5 Oct 24th USA Ultimate National Championships 2019
1 Fury Loss 9-15 1925.98 Oct 24th USA Ultimate National Championships 2019
14 Nemesis Loss 10-15 1320.91 Oct 24th USA Ultimate National Championships 2019
9 Traffic Loss 14-15 1838.67 Oct 25th USA Ultimate National Championships 2019
18 Iris Loss 13-14 1551.17 Oct 25th USA Ultimate National Championships 2019
18 Iris Loss 10-13 1348.02 Oct 25th USA Ultimate National Championships 2019
16 Pop Loss 9-13 1262.14 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)