#92 The Bandits (17-10)

avg: 1134.35  •  sd: 46.66  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
85 Eat Lightning Loss 11-12 1040.11 Jul 13th Philly Invite 2019
15 Loco** Loss 3-15 1156.06 Ignored Jul 13th Philly Invite 2019
49 League of Shadows Loss 10-14 1039.01 Jul 13th Philly Invite 2019
123 PS Loss 13-14 907.36 Jul 13th Philly Invite 2019
193 Heavy Flow Win 14-10 1059.84 Jul 14th Philly Invite 2019
144 Philly Twist Win 13-8 1388.57 Jul 14th Philly Invite 2019
153 Buffalo Lake Effect Win 13-5 1459.03 Aug 3rd Philly Open 2019
190 LORD Win 13-9 1083.92 Aug 3rd Philly Open 2019
209 TBD Win 13-8 1097.77 Aug 3rd Philly Open 2019
271 Tropics Ultimate** Win 13-5 842.71 Ignored Aug 3rd Philly Open 2019
109 Birds Win 15-12 1378.96 Aug 4th Philly Open 2019
91 Garbage Plates Win 13-12 1260.45 Aug 4th Philly Open 2019
105 Happy Valley Win 13-10 1427.74 Aug 17th Chowdafest 2019
51 Darkwing Loss 6-12 830.83 Aug 17th Chowdafest 2019
207 Face Off Win 13-8 1101.17 Aug 17th Chowdafest 2019
210 Sorted Beans Win 13-7 1155.06 Aug 17th Chowdafest 2019
133 Night Shift Win 11-9 1211.09 Aug 18th Chowdafest 2019
85 Eat Lightning Loss 9-11 915.9 Aug 18th Chowdafest 2019
150 Scarecrow Win 13-7 1419.55 Aug 18th Chowdafest 2019
86 The Feminists Win 11-10 1289.15 Aug 18th Chowdafest 2019
90 Blowing Heat 3.0 Loss 13-15 924.19 Sep 7th Founders Mixed Club Sectional Championship 2019
136 Crucible Win 14-9 1405.37 Sep 7th Founders Mixed Club Sectional Championship 2019
103 Soft Boiled Win 13-7 1668.28 Sep 7th Founders Mixed Club Sectional Championship 2019
29 Alloy Loss 6-14 1022.61 Sep 8th Founders Mixed Club Sectional Championship 2019
131 Farm Show Win 13-12 1098.83 Sep 8th Founders Mixed Club Sectional Championship 2019
115 Stoke Loss 10-14 661.42 Sep 8th Founders Mixed Club Sectional Championship 2019
103 Soft Boiled Loss 8-13 614.59 Sep 8th Founders 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)