#123 Impact (9-13)

avg: 1077.49  •  sd: 65.27  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
107 blOKC party Loss 8-11 781.04 Jun 15th Texas Two Finger 2019
202 Chili Poppers Win 11-5 1292.01 Jun 15th Texas Two Finger 2019
211 Mud Turtles Loss 6-11 103.58 Jun 15th Texas Two Finger 2019
26 Public Enemy Loss 6-11 1151.59 Jun 15th Texas Two Finger 2019
84 Ouzel Loss 11-14 921.44 Jul 20th The Royal Experience 2019
65 7 Sins Loss 10-15 880.02 Jul 20th The Royal Experience 2019
157 Hellbenders Win 12-9 1255.92 Jul 20th The Royal Experience 2019
65 7 Sins Loss 11-15 952.46 Jul 21st The Royal Experience 2019
157 Hellbenders Win 8-5 1364.16 Jul 21st The Royal Experience 2019
254 Robotic Snakes** Win 15-4 1004.08 Ignored Jul 21st The Royal Experience 2019
65 7 Sins Loss 9-13 915.06 Aug 17th Hootie on the Hill 2019
49 Boomtown Loss 12-13 1338.97 Aug 17th Hootie on the Hill 2019
157 Hellbenders Loss 11-13 681.72 Aug 17th Hootie on the Hill 2019
70 Memphis STAX Win 13-10 1629.67 Aug 17th Hootie on the Hill 2019
49 Boomtown Loss 7-15 863.97 Aug 18th Hootie on the Hill 2019
149 Tex Mix Win 15-11 1307.84 Aug 18th Hootie on the Hill 2019
22 Chalice** Loss 3-13 1117.13 Ignored Sep 7th West Plains Mixed Club Sectional Championship 2019
157 Hellbenders Win 10-9 1035.56 Sep 7th West Plains Mixed Club Sectional Championship 2019
42 Woodwork Loss 10-11 1404.81 Sep 7th West Plains Mixed Club Sectional Championship 2019
65 7 Sins Loss 11-13 1104.78 Sep 8th West Plains Mixed Club Sectional Championship 2019
253 LudICRous** Win 13-1 1011.84 Ignored Sep 8th West Plains Mixed Club Sectional Championship 2019
254 Robotic Snakes** Win 13-2 1004.08 Ignored Sep 8th West Plains 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)