#64 The Administrators (16-7)

avg: 1344.95  •  sd: 55.75  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
82 Pegasus Win 13-9 1664.16 Jun 29th Rose City Rumble 2019
87 Garbage Win 14-11 1518.7 Jun 29th Rose City Rumble 2019
77 Happy Hour Win 12-11 1394.36 Jun 29th Rose City Rumble 2019
150 Igneous Ultimate Win 11-9 1174.26 Jun 29th Rose City Rumble 2019
28 Lights Out Loss 8-15 1078.8 Jul 13th TCT Select Flight Invite West 2019
52 Mesteño Loss 11-14 1128.42 Jul 13th TCT Select Flight Invite West 2019
68 Metro North Loss 9-12 969.88 Jul 13th TCT Select Flight Invite West 2019
41 BW Ultimate Win 10-9 1664.26 Jul 14th TCT Select Flight Invite West 2019
48 Classy Loss 4-13 866.35 Jul 14th TCT Select Flight Invite West 2019
66 Flight Club Loss 11-12 1208.31 Jul 14th TCT Select Flight Invite West 2019
161 Breakers Mark Win 15-1 1492.72 Aug 3rd Kleinman Eruption 2019
121 Bulleit Train Win 13-8 1581.72 Aug 3rd Kleinman Eruption 2019
215 Megalodon Win 15-9 1144.49 Aug 3rd Kleinman Eruption 2019
95 Platypi Win 15-8 1743.21 Aug 3rd Kleinman Eruption 2019
98 Buckwild Win 14-11 1487.66 Aug 4th Kleinman Eruption 2019
36 Garage Sale Loss 12-13 1438.38 Aug 4th Kleinman Eruption 2019
127 Hive Win 15-7 1647.23 Aug 4th Kleinman Eruption 2019
138 Choco Ghost House Win 13-9 1413.32 Sep 7th Oregon Mixed Club Sectional Championship 2019
127 Hive Win 9-7 1326.57 Sep 7th Oregon Mixed Club Sectional Championship 2019
272 SkyLab** Win 13-3 875.16 Ignored Sep 7th Oregon Mixed Club Sectional Championship 2019
232 Natural Twenties Win 13-8 987.7 Sep 7th Oregon Mixed Club Sectional Championship 2019
36 Garage Sale Loss 9-14 1089.51 Sep 8th Oregon Mixed Club Sectional Championship 2019
77 Happy Hour Win 14-11 1582.7 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)