#36 Garage Sale (19-0)

avg: 1563.38  •  sd: 49.29  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
80 Alchemy Win 9-7 1532.81 Jun 29th Truckee River Ultimate Cooldown 2019
239 Fear and Loathing** Win 13-5 1078.37 Ignored Jun 29th Truckee River Ultimate Cooldown 2019
163 VU** Win 13-3 1470.8 Ignored Jun 29th Truckee River Ultimate Cooldown 2019
95 Platypi Win 13-9 1596.96 Jun 29th Truckee River Ultimate Cooldown 2019
67 American Barbecue Win 12-8 1770.57 Jun 30th Truckee River Ultimate Cooldown 2019
98 Buckwild Win 13-8 1670.49 Jun 30th Truckee River Ultimate Cooldown 2019
152 Fable Win 11-5 1522.02 Aug 3rd Kleinman Eruption 2019
234 Midnight Whiskey** Win 15-5 1089.57 Ignored Aug 3rd Kleinman Eruption 2019
150 Igneous Ultimate** Win 15-6 1525.05 Ignored Aug 3rd Kleinman Eruption 2019
127 Hive Win 10-7 1436.9 Aug 3rd Kleinman Eruption 2019
121 Bulleit Train Win 15-8 1650.37 Aug 4th Kleinman Eruption 2019
77 Happy Hour Win 13-12 1394.36 Aug 4th Kleinman Eruption 2019
64 The Administrators Win 13-12 1469.95 Aug 4th Kleinman Eruption 2019
161 Breakers Mark** Win 13-5 1492.72 Ignored Sep 7th Oregon Mixed Club Sectional Championship 2019
222 Eugene Skyfall** Win 15-4 1198.53 Ignored Sep 7th Oregon Mixed Club Sectional Championship 2019
77 Happy Hour Win 13-9 1687.93 Sep 7th Oregon Mixed Club Sectional Championship 2019
150 Igneous Ultimate Win 10-5 1498.95 Sep 7th Oregon Mixed Club Sectional Championship 2019
138 Choco Ghost House Win 14-11 1308.09 Sep 8th Oregon Mixed Club Sectional Championship 2019
64 The Administrators Win 14-9 1818.82 Sep 8th Oregon 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)