#13 Johnny Bravo (16-13)

avg: 1776.46  •  sd: 69.54  •  top 16/20: 74.2%

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# Opponent Result Game Rating Status Date Event
12 Rhino Slam Win 13-7 2337.2 Jul 7th TCT Pro Elite Challenge 2018
17 SoCal Condors Win 13-9 2099.59 Jul 7th TCT Pro Elite Challenge 2018
11 DiG Loss 10-13 1469.1 Jul 7th TCT Pro Elite Challenge 2018
10 Doublewide Win 13-10 2140.63 Jul 8th TCT Pro Elite Challenge 2018
9 HIGH FIVE Win 13-11 2042.7 Jul 8th TCT Pro Elite Challenge 2018
18 Pittsburgh Temper Win 13-11 1900.24 Jul 8th TCT Pro Elite Challenge 2018
4 Ring of Fire Loss 10-14 1595.03 Aug 3rd 2018 US Open Club Championships
8 Sub Zero Loss 12-15 1529.28 Aug 3rd 2018 US Open Club Championships
7 Chicago Machine Loss 10-15 1391.33 Aug 4th 2018 US Open Club Championships
7 Chicago Machine Loss 11-13 1616.09 Aug 5th 2018 US Open Club Championships
4 Ring of Fire Loss 13-15 1779.56 Sep 1st TCT Pro Championships 2018
20 Patrol Win 15-9 2056.19 Sep 1st TCT Pro Championships 2018
3 PoNY Loss 10-15 1577.7 Sep 1st TCT Pro Championships 2018
4 Ring of Fire Loss 9-15 1478.25 Sep 2nd TCT Pro Championships 2018
7 Chicago Machine Win 13-11 2073.77 Sep 2nd TCT Pro Championships 2018
5 Truck Stop Loss 8-15 1372.05 Sep 2nd TCT Pro Championships 2018
147 DUCS** Win 13-3 1011.7 Ignored Sep 22nd South Central Mens Regional Championship 2018
69 Gamble** Win 13-3 1633.45 Ignored Sep 22nd South Central Mens Regional Championship 2018
83 Supercell Win 13-6 1540.63 Sep 22nd South Central Mens Regional Championship 2018
24 Inception Win 15-12 1721.83 Sep 22nd South Central Mens Regional Championship 2018
10 Doublewide Loss 14-15 1687.48 Sep 23rd South Central Mens Regional Championship 2018
24 Inception Win 15-9 1936.82 Sep 23rd South Central Mens Regional Championship 2018
12 Rhino Slam Win 14-13 1904.67 Oct 18th USA Ultimate National Championships 2018
5 Truck Stop Loss 12-15 1636.37 Oct 18th USA Ultimate National Championships 2018
3 PoNY Win 14-12 2252.26 Oct 18th USA Ultimate National Championships 2018
15 Chain Lightning Win 15-14 1817.74 Oct 19th USA Ultimate National Championships 2018
10 Doublewide Loss 14-15 1687.48 Oct 19th USA Ultimate National Championships 2018
6 Furious George Loss 9-15 1353.63 Oct 19th USA Ultimate National Championships 2018
18 Pittsburgh Temper Win 15-10 2125 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)