#11 DiG (21-12)

avg: 1797.25  •  sd: 85.61  •  top 16/20: 98.5%

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# Opponent Result Game Rating Status Date Event
- Sherbrooke Gentlemen's Club** Win 15-4 1605.97 Ignored Jun 23rd Boston Invite 2018
77 Deathsquad** Win 15-3 1580.92 Ignored Jun 23rd Boston Invite 2018
- Quantum** Win 15-2 1116.34 Ignored Jun 23rd Boston Invite 2018
29 Big Wrench Win 15-5 1977.85 Jun 24th Boston Invite 2018
50 Colt Win 15-4 1812.86 Jun 24th Boston Invite 2018
- All Bashed Out Win 15-7 2061.89 Jun 24th Boston Invite 2018
12 Rhino Slam Loss 8-10 1517.01 Jul 7th TCT Pro Elite Challenge 2018
17 SoCal Condors Win 13-8 2177.18 Jul 7th TCT Pro Elite Challenge 2018
13 Johnny Bravo Win 13-10 2104.6 Jul 7th TCT Pro Elite Challenge 2018
7 Chicago Machine Loss 6-11 1298.24 Jul 8th TCT Pro Elite Challenge 2018
19 Guerrilla Win 12-11 1672.89 Jul 8th TCT Pro Elite Challenge 2018
18 Pittsburgh Temper Loss 10-11 1546.4 Jul 8th TCT Pro Elite Challenge 2018
20 Patrol Win 9-7 1820.04 Jul 8th TCT Pro Elite Challenge 2018
1 Revolver Loss 15-16 1954.65 Sep 1st TCT Pro Championships 2018
5 Truck Stop Loss 13-15 1722.68 Sep 1st TCT Pro Championships 2018
9 HIGH FIVE Win 14-13 1938.86 Sep 1st TCT Pro Championships 2018
1 Revolver Loss 12-15 1779.15 Sep 2nd TCT Pro Championships 2018
4 Ring of Fire Win 15-8 2558.54 Sep 2nd TCT Pro Championships 2018
8 Sub Zero Win 16-14 2038.06 Sep 2nd TCT Pro Championships 2018
54 Blueprint Win 15-7 1758.68 Sep 22nd Northeast Mens Regional Championship 2018
14 GOAT Loss 12-14 1494.15 Sep 22nd Northeast Mens Regional Championship 2018
50 Colt Win 15-5 1812.86 Sep 22nd Northeast Mens Regional Championship 2018
94 Red Tide** Win 15-3 1481.52 Ignored Sep 22nd Northeast Mens Regional Championship 2018
14 GOAT Win 15-10 2168.71 Sep 23rd Northeast Mens Regional Championship 2018
67 Red Circus Win 15-11 1420.68 Sep 23rd Northeast Mens Regional Championship 2018
28 Phoenix Win 15-7 1979.92 Sep 23rd Northeast Mens Regional Championship 2018
10 Doublewide Win 15-13 2026.66 Oct 18th USA Ultimate National Championships 2018
2 Sockeye Loss 11-15 1654 Oct 18th USA Ultimate National Championships 2018
18 Pittsburgh Temper Win 15-10 2125 Oct 18th USA Ultimate National Championships 2018
5 Truck Stop Loss 11-15 1555.7 Oct 19th USA Ultimate National Championships 2018
16 Madison Club Loss 12-15 1392.02 Oct 19th USA Ultimate National Championships 2018
18 Pittsburgh Temper Loss 13-14 1546.4 Oct 19th USA Ultimate National Championships 2018
15 Chain Lightning Loss 12-13 1567.74 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)