#8 DiG (22-11)

avg: 1951.74  •  sd: 48.45  •  top 16/20: 99.9%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
144 Club M - Magma** Win 15-1 1425.56 Ignored Jun 22nd Boston Invite 2019
66 Deathsquad Win 15-8 1807.12 Jun 22nd Boston Invite 2019
54 Red Circus Win 15-7 1925.74 Jun 22nd Boston Invite 2019
35 Blueprint Win 15-5 2077.19 Jun 23rd Boston Invite 2019
17 Sprout Win 14-12 1988.45 Jun 23rd Boston Invite 2019
44 Shade Win 15-6 2009.19 Jun 23rd Boston Invite 2019
36 Freaks Win 15-7 2075.4 Aug 17th TCT Elite Select Challenge 2019
31 Black Market I Win 15-9 2010.62 Aug 17th TCT Elite Select Challenge 2019
16 Johnny Bravo Loss 13-14 1664.53 Aug 17th TCT Elite Select Challenge 2019
21 Brickyard Win 12-11 1768.19 Aug 18th TCT Elite Select Challenge 2019
14 Chain Lightning Win 11-9 2067.31 Aug 18th TCT Elite Select Challenge 2019
9 SoCal Condors Loss 8-10 1631.27 Aug 18th TCT Elite Select Challenge 2019
22 Patrol Win 12-5 2228.85 Aug 18th TCT Elite Select Challenge 2019
2 Truck Stop Loss 10-12 1942.9 Aug 31st TCT Pro Championships 2019
5 Chicago Machine Loss 9-11 1837.9 Aug 31st TCT Pro Championships 2019
4 PoNY Loss 11-15 1727.25 Aug 31st TCT Pro Championships 2019
3 Ring of Fire Loss 14-15 2044 Sep 1st TCT Pro Championships 2019
12 Doublewide Win 13-10 2183.65 Sep 1st TCT Pro Championships 2019
11 Pittsburgh Temper Win 15-14 1986.75 Sep 1st TCT Pro Championships 2019
62 Big Wrench Win 13-6 1876.64 Sep 21st Northeast Club Mens Regional Championship 2019
139 Overcast** Win 13-5 1442.47 Ignored Sep 21st Northeast Club Mens Regional Championship 2019
44 Shade Win 13-6 2009.19 Sep 21st Northeast Club Mens Regional Championship 2019
4 PoNY Loss 10-15 1654.81 Sep 21st Northeast Club Mens Regional Championship 2019
10 GOAT Win 15-11 2262.16 Sep 22nd Northeast Club Mens Regional Championship 2019
54 Red Circus Win 15-7 1925.74 Sep 22nd Northeast Club Mens Regional Championship 2019
4 PoNY Win 15-10 2562.02 Sep 22nd Northeast Club Mens Regional Championship 2019
13 Furious George Win 15-8 2401.37 Oct 24th USA Ultimate National Championships 2019
9 SoCal Condors Win 12-11 2018.94 Oct 24th USA Ultimate National Championships 2019
1 Sockeye Loss 12-13 2133.77 Oct 24th USA Ultimate National Championships 2019
14 Chain Lightning Win 15-14 1943.1 Oct 25th USA Ultimate National Championships 2019
15 Rhino Slam! Loss 12-15 1517.1 Oct 25th USA Ultimate National Championships 2019
12 Doublewide Loss 14-15 1730.51 Oct 25th USA Ultimate National Championships 2019
10 GOAT Loss 12-15 1580.51 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)