#38 Dark Star (16-18)

avg: 1279.92  •  sd: 59.37  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
6 Furious George Loss 9-11 1619.91 Jun 22nd Eugene Summer Solstice 40
- Blackfish Loss 8-13 783.86 Jun 23rd Eugene Summer Solstice 40
46 Ghost Train Win 13-11 1454.67 Jun 23rd Eugene Summer Solstice 40
99 Red Dawn Win 13-9 1262.28 Jun 23rd Eugene Summer Solstice 40
12 Rhino Slam Loss 7-12 1259.16 Jun 24th Eugene Summer Solstice 40
22 Voodoo Loss 9-12 1159.11 Jun 24th Eugene Summer Solstice 40
- Ham Win 13-5 1744.27 Jun 24th Eugene Summer Solstice 40
49 CaSTLe Loss 9-12 868.79 Jul 28th TCT Select Flight Invite 2018
88 PowderHogs Win 12-8 1349.63 Jul 28th TCT Select Flight Invite 2018
19 Guerrilla Loss 4-13 947.89 Jul 28th TCT Select Flight Invite 2018
53 Illusion Win 13-9 1592.65 Jul 28th TCT Select Flight Invite 2018
12 Rhino Slam Loss 10-13 1451.53 Jul 29th TCT Select Flight Invite 2018
22 Voodoo Loss 6-13 904.47 Jul 29th TCT Select Flight Invite 2018
39 Mad Men Win 13-11 1507.81 Jul 29th TCT Select Flight Invite 2018
78 Rip City Ultimate Loss 11-12 850.79 Aug 25th CBR Memorial 2018
63 Sawtooth Win 12-6 1635.87 Aug 25th CBR Memorial 2018
46 Ghost Train Loss 9-11 976.62 Aug 25th CBR Memorial 2018
40 Streetgang Win 13-11 1503.94 Aug 25th CBR Memorial 2018
12 Rhino Slam Loss 8-13 1283.51 Aug 26th CBR Memorial 2018
91 Sprawl Win 13-7 1454.9 Aug 26th CBR Memorial 2018
86 Green River Swordfish Win 13-7 1479.64 Aug 26th CBR Memorial 2018
12 Rhino Slam Loss 7-13 1222.14 Sep 8th Oregon Mens Sectional Championship 2018
78 Rip City Ultimate Win 13-7 1533.33 Sep 8th Oregon Mens Sectional Championship 2018
- HIPPO Loss 11-13 598.18 Sep 8th Oregon Mens Sectional Championship 2018
155 NANO** Win 13-2 901.41 Ignored Sep 8th Oregon Mens Sectional Championship 2018
12 Rhino Slam Loss 9-13 1361.11 Sep 9th Oregon Mens Sectional Championship 2018
78 Rip City Ultimate Win 14-13 1100.79 Sep 9th Oregon Mens Sectional Championship 2018
12 Rhino Slam Loss 4-13 1179.67 Sep 22nd Northwest Mens Regional Championship 2018
78 Rip City Ultimate Win 11-6 1522.49 Sep 22nd Northwest Mens Regional Championship 2018
22 Voodoo Loss 11-13 1275.63 Sep 22nd Northwest Mens Regional Championship 2018
2 Sockeye** Loss 5-13 1435.16 Ignored Sep 22nd Northwest Mens Regional Championship 2018
63 Sawtooth Win 13-11 1285.4 Sep 23rd Northwest Mens Regional Championship 2018
22 Voodoo Loss 12-14 1283.52 Sep 23rd Northwest Mens Regional Championship 2018
46 Ghost Train Win 13-10 1553.97 Sep 23rd Northwest Mens Regional Championship 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)