#99 Mutiny (19-7)

avg: 1170.48  •  sd: 59.59  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
278 Baywatch** Win 13-3 815.25 Ignored Jul 13th Swan Boat 2019
271 Bold City** Win 13-2 887.31 Ignored Jul 13th Swan Boat 2019
207 FIRE ULTIMATE CLUB MIAMI Win 13-3 1263.97 Jul 13th Swan Boat 2019
255 Mixchief Win 13-6 1000.84 Jul 13th Swan Boat 2019
252 Big Bend** Win 15-1 1012.1 Ignored Jul 14th Swan Boat 2019
153 Jackpot Win 15-3 1520.99 Jul 14th Swan Boat 2019
225 Monster Win 15-7 1182.9 Jul 14th Swan Boat 2019
164 BATL Cows Loss 8-13 360.04 Jul 20th 2019 Club Terminus
174 Magic City Mayhem Loss 11-12 661.17 Jul 20th 2019 Club Terminus
109 Shakedown Win 12-8 1583.07 Jul 20th 2019 Club Terminus
230 The Umbrella Win 13-7 1071 Jul 20th 2019 Club Terminus
164 BATL Cows Win 13-6 1456.2 Jul 21st 2019 Club Terminus
16 Weird** Loss 5-12 1196.8 Ignored Jul 21st 2019 Club Terminus
230 The Umbrella** Win 13-5 1113.47 Ignored Jul 21st 2019 Club Terminus
164 BATL Cows Win 12-10 1094.32 Aug 10th HoDown ShowDown 23 GOAT
113 sKNO cone Win 13-9 1530.23 Aug 10th HoDown ShowDown 23 GOAT
74 Trash Pandas Win 11-10 1398.88 Aug 10th HoDown ShowDown 23 GOAT
38 Superlame Loss 9-12 1213.15 Aug 10th HoDown ShowDown 23 GOAT
75 Bexar Win 15-11 1654.68 Aug 11th HoDown ShowDown 23 GOAT
34 'Shine Loss 8-15 1023.64 Aug 11th HoDown ShowDown 23 GOAT
74 Trash Pandas Loss 6-15 673.88 Aug 11th HoDown ShowDown 23 GOAT
252 Big Bend** Win 13-4 1012.1 Ignored Sep 7th Florida Mixed Club Sectional Championship 2019
271 Bold City** Win 13-4 887.31 Ignored Sep 7th Florida Mixed Club Sectional Championship 2019
207 FIRE ULTIMATE CLUB MIAMI Win 13-8 1160.13 Sep 7th Florida Mixed Club Sectional Championship 2019
255 Mixchief** Win 13-4 1000.84 Ignored Sep 7th Florida Mixed Club Sectional Championship 2019
16 Weird** Loss 5-13 1196.8 Ignored Sep 8th Florida 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)