#4 PoNY (22-6)

avg: 2108.42  •  sd: 66.38  •  top 16/20: 100%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
9 SoCal Condors Win 13-11 2122.78 Jul 13th TCT Pro Elite Challenge 2019
16 Johnny Bravo Win 13-8 2285.69 Jul 13th TCT Pro Elite Challenge 2019
22 Patrol Win 12-11 1753.85 Jul 13th TCT Pro Elite Challenge 2019
10 GOAT Loss 8-13 1384.84 Jul 14th TCT Pro Elite Challenge 2019
5 Chicago Machine Loss 10-11 1962.11 Jul 14th TCT Pro Elite Challenge 2019
15 Rhino Slam! Win 13-6 2417.59 Jul 14th TCT Pro Elite Challenge 2019
36 Freaks Win 15-8 2040.21 Aug 2nd 2019 US Open Club Championship
3 Ring of Fire Loss 10-14 1770.29 Aug 2nd 2019 US Open Club Championship
2 Truck Stop Win 14-10 2579.72 Aug 3rd 2019 US Open Club Championship
1 Sockeye Loss 12-15 1958.27 Aug 4th 2019 US Open Club Championship
2 Truck Stop Win 15-9 2696.5 Aug 31st TCT Pro Championships 2019
5 Chicago Machine Win 11-9 2336.32 Aug 31st TCT Pro Championships 2019
8 DiG Win 15-11 2332.9 Aug 31st TCT Pro Championships 2019
7 Sub Zero Win 12-11 2110.71 Sep 1st TCT Pro Championships 2019
11 Pittsburgh Temper Win 14-12 2082.7 Sep 1st TCT Pro Championships 2019
5 Chicago Machine Win 12-11 2212.11 Sep 2nd TCT Pro Championships 2019
51 Lantern** Win 13-5 1958.82 Ignored Sep 21st Northeast Club Mens Regional Championship 2019
121 Genny The Boys** Win 13-4 1529.67 Ignored Sep 21st Northeast Club Mens Regional Championship 2019
66 Deathsquad** Win 13-3 1842.32 Ignored Sep 21st Northeast Club Mens Regional Championship 2019
8 DiG Win 15-10 2405.34 Sep 21st Northeast Club Mens Regional Championship 2019
17 Sprout Win 16-14 1975.79 Sep 22nd Northeast Club Mens Regional Championship 2019
8 DiG Loss 10-15 1498.13 Sep 22nd Northeast Club Mens Regional Championship 2019
27 Phoenix Win 15-7 2127.32 Sep 22nd Northeast Club Mens Regional Championship 2019
7 Sub Zero Win 14-13 2110.71 Oct 24th USA Ultimate National Championships 2019
16 Johnny Bravo Win 14-6 2389.53 Oct 24th USA Ultimate National Championships 2019
11 Pittsburgh Temper Win 15-8 2426.56 Oct 24th USA Ultimate National Championships 2019
15 Rhino Slam! Win 15-14 1942.59 Oct 25th USA Ultimate National Championships 2019
5 Chicago Machine Loss 10-15 1633.51 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)