#98 Buckwild (12-9)

avg: 1174.33  •  sd: 56.01  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
67 American Barbecue Loss 5-12 729.41 Jun 29th Truckee River Ultimate Cooldown 2019
108 Argo Win 12-11 1266.92 Jun 29th Truckee River Ultimate Cooldown 2019
54 Cutthroat Loss 7-9 1150.48 Jun 29th Truckee River Ultimate Cooldown 2019
299 Delta Breeze** Win 13-3 600 Ignored Jun 29th Truckee River Ultimate Cooldown 2019
95 Platypi Win 14-11 1491.74 Jun 30th Truckee River Ultimate Cooldown 2019
54 Cutthroat Win 13-12 1554.81 Jun 30th Truckee River Ultimate Cooldown 2019
36 Garage Sale Loss 8-13 1067.22 Jun 30th Truckee River Ultimate Cooldown 2019
82 Pegasus Win 10-9 1370.6 Aug 3rd Kleinman Eruption 2019
272 SkyLab** Win 15-5 875.16 Ignored Aug 3rd Kleinman Eruption 2019
87 Garbage Loss 9-12 860 Aug 3rd Kleinman Eruption 2019
245 Mola Mola** Win 15-5 1053.96 Ignored Aug 3rd Kleinman Eruption 2019
59 Donuts Win 13-12 1508.86 Aug 4th Kleinman Eruption 2019
64 The Administrators Loss 11-14 1031.62 Aug 4th Kleinman Eruption 2019
67 American Barbecue Loss 8-12 888.26 Sep 7th Nor Cal Mixed Club Sectional Championship 2019
163 VU Win 9-5 1399.85 Sep 7th Nor Cal Mixed Club Sectional Championship 2019
20 Polar Bears Loss 7-13 1198.52 Sep 7th Nor Cal Mixed Club Sectional Championship 2019
233 Feral Cows** Win 13-4 1090.13 Ignored Sep 7th Nor Cal Mixed Club Sectional Championship 2019
116 Absolute Zero Win 10-9 1229.82 Sep 8th Nor Cal Mixed Club Sectional Championship 2019
80 Alchemy Loss 9-11 1004.27 Sep 8th Nor Cal Mixed Club Sectional Championship 2019
108 Argo Loss 8-9 1016.92 Sep 8th Nor Cal Mixed Club Sectional Championship 2019
163 VU Win 12-8 1311.95 Sep 8th Nor Cal Mixed Club Sectional Championship 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)