#158 Sweet Action (11-15)

avg: 903.34  •  sd: 57.71  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
241 EDM Win 8-4 1035.35 Jun 29th Rocky Mountain Mixed Round Robin
128 Springs Mixed Ulty Team Loss 8-13 544.19 Jun 29th Rocky Mountain Mixed Round Robin
128 Springs Mixed Ulty Team Win 12-11 1165.35 Jun 29th Rocky Mountain Mixed Round Robin
189 The Strangers Win 11-8 1086.44 Jun 29th Rocky Mountain Mixed Round Robin
108 Argo Loss 6-11 595.23 Jul 20th Revolution 2019
121 Bulleit Train Loss 4-8 520.76 Jul 20th Revolution 2019
101 Robot Loss 2-13 567.93 Jul 20th Revolution 2019
163 VU Win 11-7 1337.69 Jul 20th Revolution 2019
80 Alchemy Loss 8-12 812.32 Jul 21st Revolution 2019
121 Bulleit Train Loss 7-11 618.67 Jul 21st Revolution 2019
143 Superstition Loss 10-13 622.14 Jul 21st Revolution 2019
116 Absolute Zero Loss 6-13 504.82 Aug 24th Ski Town Classic 2019
80 Alchemy Win 10-9 1378.48 Aug 24th Ski Town Classic 2019
239 Fear and Loathing Win 13-9 896.93 Aug 24th Ski Town Classic 2019
44 Pivot Loss 3-13 900.13 Aug 24th Ski Town Classic 2019
116 Absolute Zero Win 11-10 1229.82 Aug 25th Ski Town Classic 2019
76 Firefly Win 13-12 1395.63 Aug 25th Ski Town Classic 2019
128 Springs Mixed Ulty Team Loss 8-11 674.74 Aug 25th Ski Town Classic 2019
220 All Jeeps, All Night. Win 11-5 1206.44 Sep 7th Rocky Mountain Mixed Club Sectional Championship 2019
66 Flight Club Loss 5-10 759.41 Sep 7th Rocky Mountain Mixed Club Sectional Championship 2019
128 Springs Mixed Ulty Team Loss 8-9 915.35 Sep 7th Rocky Mountain Mixed Club Sectional Championship 2019
52 Mesteño Loss 4-11 841.75 Sep 7th Rocky Mountain Mixed Club Sectional Championship 2019
79 Vendetta Loss 7-10 867.68 Sep 7th Rocky Mountain Mixed Club Sectional Championship 2019
241 EDM Win 11-2 1070.54 Sep 8th Rocky Mountain Mixed Club Sectional Championship 2019
134 Mixed Signals Loss 4-10 413.23 Sep 8th Rocky Mountain Mixed Club Sectional Championship 2019
189 The Strangers Win 9-5 1249.89 Sep 8th Rocky Mountain 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)