#78 Rip City Ultimate (15-23)

avg: 975.79  •  sd: 62.87  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
99 Red Dawn Win 12-8 1284.87 Jun 22nd Eugene Summer Solstice 40
6 Furious George** Loss 4-13 1269.11 Ignored Jun 23rd Eugene Summer Solstice 40
22 Voodoo Loss 8-13 1008.31 Jun 23rd Eugene Summer Solstice 40
- Flicky Stardust and the Cutters From Mars** Win 13-4 897.02 Ignored Jun 23rd Eugene Summer Solstice 40
12 Rhino Slam** Loss 3-13 1179.67 Ignored Jun 24th Eugene Summer Solstice 40
- Ham Loss 8-13 648.11 Jun 24th Eugene Summer Solstice 40
88 PowderHogs Win 9-4 1508.48 Jun 24th Eugene Summer Solstice 40
91 Sprawl Loss 10-11 772.37 Jul 7th 2018 San Diego Slammer
88 PowderHogs Loss 10-11 783.48 Jul 7th 2018 San Diego Slammer
74 DOGGPOUND Loss 8-10 734.63 Jul 7th 2018 San Diego Slammer
40 Streetgang Loss 6-11 728.4 Jul 7th 2018 San Diego Slammer
- Carbon Win 11-10 913.33 Jul 7th 2018 San Diego Slammer
93 Battery Loss 11-12 758.89 Jul 8th 2018 San Diego Slammer
144 Gridlock Win 15-8 1033.06 Jul 8th 2018 San Diego Slammer
88 PowderHogs Loss 9-12 563.11 Aug 18th Ski Town Classic 2018
81 Sundowners Win 12-11 1072.72 Aug 18th Ski Town Classic 2018
92 Choice City Hops Loss 8-12 446.83 Aug 18th Ski Town Classic 2018
144 Gridlock Win 13-4 1068.25 Aug 18th Ski Town Classic 2018
144 Gridlock Win 13-9 886.82 Aug 19th Ski Town Classic 2018
80 ISO Atmo Win 13-10 1285.97 Aug 19th Ski Town Classic 2018
12 Rhino Slam Loss 7-13 1222.14 Aug 25th CBR Memorial 2018
91 Sprawl Win 13-5 1497.37 Aug 25th CBR Memorial 2018
46 Ghost Train Loss 10-13 897.69 Aug 25th CBR Memorial 2018
38 Dark Star Win 12-11 1404.92 Aug 25th CBR Memorial 2018
63 Sawtooth Win 10-6 1552.72 Aug 26th CBR Memorial 2018
86 Green River Swordfish Loss 8-13 425.95 Aug 26th CBR Memorial 2018
6 Furious George** Loss 4-13 1269.11 Ignored Aug 26th CBR Memorial 2018
12 Rhino Slam Loss 8-13 1283.51 Sep 8th Oregon Mens Sectional Championship 2018
38 Dark Star Loss 7-13 722.39 Sep 8th Oregon Mens Sectional Championship 2018
- HIPPO Win 13-7 1384.55 Sep 8th Oregon Mens Sectional Championship 2018
155 NANO Win 13-6 901.41 Sep 8th Oregon Mens Sectional Championship 2018
38 Dark Star Loss 13-14 1154.92 Sep 9th Oregon Mens Sectional Championship 2018
- HIPPO Win 13-8 1323.18 Sep 9th Oregon Mens Sectional Championship 2018
22 Voodoo Loss 7-13 946.94 Sep 22nd Northwest Mens Regional Championship 2018
2 Sockeye** Loss 4-13 1435.16 Ignored Sep 22nd Northwest Mens Regional Championship 2018
38 Dark Star Loss 6-11 733.23 Sep 22nd Northwest Mens Regional Championship 2018
46 Ghost Train Loss 8-12 784.67 Sep 23rd Northwest Mens Regional Championship 2018
63 Sawtooth Loss 7-13 499.03 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)