#9 HIGH FIVE (18-13)

avg: 1813.86  •  sd: 82.98  •  top 16/20: 89.6%

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# Opponent Result Game Rating Status Date Event
18 Pittsburgh Temper Loss 7-13 1113.86 Jul 7th TCT Pro Elite Challenge 2018
3 PoNY Win 13-8 2527.46 Jul 7th TCT Pro Elite Challenge 2018
8 Sub Zero Loss 12-13 1704.77 Jul 7th TCT Pro Elite Challenge 2018
7 Chicago Machine Win 14-12 2065.89 Jul 8th TCT Pro Elite Challenge 2018
2 Sockeye Loss 8-13 1539 Jul 8th TCT Pro Elite Challenge 2018
13 Johnny Bravo Loss 11-13 1547.62 Jul 8th TCT Pro Elite Challenge 2018
16 Madison Club Win 12-11 1817.51 Jul 8th TCT Pro Elite Challenge 2018
15 Chain Lightning Win 13-10 2020.88 Aug 18th TCT Elite Select Challenge 2018
22 Voodoo Win 12-10 1742.6 Aug 18th TCT Elite Select Challenge 2018
14 GOAT Loss 7-13 1157.57 Aug 18th TCT Elite Select Challenge 2018
20 Patrol Win 13-8 2036.86 Aug 19th TCT Elite Select Challenge 2018
24 Inception Win 13-6 2021.34 Aug 19th TCT Elite Select Challenge 2018
5 Truck Stop Loss 13-15 1722.68 Sep 1st TCT Pro Championships 2018
11 DiG Loss 13-14 1672.25 Sep 1st TCT Pro Championships 2018
8 Sub Zero Loss 9-15 1314.29 Sep 1st TCT Pro Championships 2018
1 Revolver Loss 13-15 1865.47 Sep 2nd TCT Pro Championships 2018
7 Chicago Machine Win 15-13 2059.11 Sep 2nd TCT Pro Championships 2018
8 Sub Zero Win 15-8 2394.58 Sep 2nd TCT Pro Championships 2018
36 CLE Smokestack Win 13-8 1795.79 Sep 22nd Great Lakes Mens Regional Championship 2018
31 Black Market Win 15-12 1647.22 Sep 22nd Great Lakes Mens Regional Championship 2018
73 Greater Gary Goblins Y Win 12-6 1595.11 Sep 22nd Great Lakes Mens Regional Championship 2018
119 MomINtuM** Win 13-1 1312.34 Ignored Sep 22nd Great Lakes Mens Regional Championship 2018
7 Chicago Machine Loss 11-13 1616.09 Sep 23rd Great Lakes Mens Regional Championship 2018
26 Brickyard Win 15-7 1998.84 Sep 23rd Great Lakes Mens Regional Championship 2018
1 Revolver Loss 10-15 1626.04 Oct 18th USA Ultimate National Championships 2018
16 Madison Club Win 15-12 1993.01 Oct 18th USA Ultimate National Championships 2018
8 Sub Zero Loss 13-15 1615.59 Oct 18th USA Ultimate National Championships 2018
12 Rhino Slam Win 15-8 2344.48 Oct 19th USA Ultimate National Championships 2018
7 Chicago Machine Loss 8-15 1280.12 Oct 19th USA Ultimate National Championships 2018
18 Pittsburgh Temper Win 14-10 2070.1 Oct 19th USA Ultimate National Championships 2018
7 Chicago Machine Win 15-11 2226.1 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)