#128 Vicious Cycle (9-16)

avg: 648.1  •  sd: 70.65  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
140 ScooberDivers Loss 9-13 104.47 Jul 7th Swan Boat 2018
44 El Niño Loss 9-12 899.64 Jul 7th Swan Boat 2018
- Shore Break Win 11-9 385.78 Jul 7th Swan Boat 2018
133 Holy City Heathens Win 10-9 731.4 Jul 7th Swan Boat 2018
44 El Niño Loss 7-15 645 Jul 8th Swan Boat 2018
137 Space Coast Ultimate Win 15-13 779.15 Jul 8th Swan Boat 2018
108 Swamp Horse Loss 9-15 255.97 Jul 8th Swan Boat 2018
106 Battleship Loss 6-13 177.88 Aug 18th Trestlemania III
104 Black Lung Loss 3-13 208.72 Aug 18th Trestlemania III
108 Swamp Horse Loss 4-13 171.45 Aug 18th Trestlemania III
114 Cockfight Loss 10-12 525.35 Aug 18th Trestlemania III
106 Battleship Loss 11-13 549.04 Aug 19th Trestlemania III
160 Duel Win 13-6 825.03 Aug 19th Trestlemania III
44 El Niño Loss 5-11 645 Sep 8th Florida Mens Sectional Championship 2018
168 Tyranny Win 11-4 660.32 Sep 8th Florida Mens Sectional Championship 2018
71 UpRoar Loss 5-11 423.21 Sep 8th Florida Mens Sectional Championship 2018
- GrandMaster Flash Win 11-5 723.1 Sep 8th Florida Mens Sectional Championship 2018
137 Space Coast Ultimate Win 15-10 1018.58 Sep 9th Florida Mens Sectional Championship 2018
108 Swamp Horse Win 15-9 1286.94 Sep 9th Florida Mens Sectional Championship 2018
75 Omen Loss 13-15 778.56 Sep 9th Florida Mens Sectional Championship 2018
15 Chain Lightning Loss 7-13 1135.21 Sep 22nd Southeast Mens Regional Championship 2018
34 Lost Boys** Loss 4-13 709.19 Ignored Sep 22nd Southeast Mens Regional Championship 2018
61 Tanasi Loss 8-13 599.76 Sep 22nd Southeast Mens Regional Championship 2018
97 Rush Hour Win 8-6 1151.67 Sep 23rd Southeast Mens Regional Championship 2018
102 H.O.G. Ultimate Loss 10-15 373.91 Sep 23rd Southeast 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)