#142 ScooberDivers (10-10)

avg: 827.39  •  sd: 67.87  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
140 Space Coast Ultimate Win 11-9 1082.86 Jul 13th Swan Boat 2019
133 Vicious Cycle Loss 7-11 415.08 Jul 13th Swan Boat 2019
203 Scootlyfe Win 11-10 560.85 Jul 13th Swan Boat 2019
217 Tyranny Win 11-7 790.26 Jul 13th Swan Boat 2019
124 Swamp Horse Loss 9-15 399.9 Jul 14th Swan Boat 2019
113 Omen Loss 7-8 841.83 Jul 14th Swan Boat 2019
133 Vicious Cycle Loss 13-15 667.8 Jul 14th Swan Boat 2019
168 Barefoot Win 13-6 1273.23 Aug 17th Mudbowl 2019
187 Rampage Win 13-4 1133.03 Aug 17th Mudbowl 2019
192 Trent's Team Win 13-9 937.42 Aug 17th Mudbowl 2019
29 Clutch Loss 8-13 1042.28 Aug 18th Mudbowl 2019
126 Rougaroux Loss 6-13 305.03 Aug 18th Mudbowl 2019
124 Swamp Horse Loss 9-13 496.81 Aug 18th Mudbowl 2019
133 Vicious Cycle Loss 9-13 463.41 Sep 7th Florida Mens Club Sectional Championship 2019
67 UpRoar Loss 9-13 793.76 Sep 7th Florida Mens Club Sectional Championship 2019
203 Scootlyfe Win 13-6 1035.85 Sep 7th Florida Mens Club Sectional Championship 2019
124 Swamp Horse Win 12-11 1040.38 Sep 7th Florida Mens Club Sectional Championship 2019
190 UpRoar Claws Win 15-10 982.73 Sep 8th Florida Mens Club Sectional Championship 2019
113 Omen Win 14-10 1365.53 Sep 8th Florida Mens Club Sectional Championship 2019
124 Swamp Horse Loss 10-13 587.23 Sep 8th Florida Mens 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)