#93 PanIC (14-13)

avg: 1184.69  •  sd: 66.09  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
65 7 Sins Loss 7-13 776.09 Jun 29th Spirit of the Plains 2019
244 Madison United Mixed Ultimate Win 13-7 1019.31 Jun 29th Spirit of the Plains 2019
109 Shakedown Loss 8-10 879.25 Jun 29th Spirit of the Plains 2019
122 Pandamonium Loss 6-10 585.56 Jun 30th Spirit of the Plains 2019
139 Tequila Mockingbird Win 9-7 1264.73 Jun 30th Spirit of the Plains 2019
22 Chalice Loss 4-13 1117.13 Jun 30th Spirit of the Plains 2019
157 Hellbenders Loss 9-11 661.35 Jun 30th Spirit of the Plains 2019
171 Mousetrap Win 13-10 1127.69 Aug 3rd Heavyweights 2019
295 Fox Valley Forge** Win 13-2 308.97 Ignored Aug 3rd Heavyweights 2019
160 EMU Win 13-5 1494.92 Aug 3rd Heavyweights 2019
214 Stackcats Win 13-3 1237.26 Aug 3rd Heavyweights 2019
71 Northern Comfort Win 13-11 1511.6 Aug 4th Heavyweights 2019
125 Nothing's Great Again Win 13-6 1652.35 Aug 4th Heavyweights 2019
58 Toast Win 14-13 1510.08 Aug 4th Heavyweights 2019
71 Northern Comfort Loss 10-13 954.61 Aug 17th Cooler Classic 31
33 Hybrid Loss 7-13 1043.04 Aug 17th Cooler Classic 31
42 Woodwork Loss 8-13 1033.65 Aug 17th Cooler Classic 31
129 Bird Win 11-7 1502.46 Aug 17th Cooler Classic 31
71 Northern Comfort Loss 5-7 954.61 Aug 18th Cooler Classic 31
22 Chalice Loss 5-9 1188.07 Aug 18th Cooler Classic 31
100 Risky Business Win 10-6 1665.16 Aug 18th Cooler Classic 31
254 Robotic Snakes** Win 13-4 1004.08 Ignored Sep 7th West Plains Mixed Club Sectional Championship 2019
19 The Chad Larson Experience Loss 3-13 1159.72 Sep 7th West Plains Mixed Club Sectional Championship 2019
65 7 Sins Win 13-9 1752.19 Sep 7th West Plains Mixed Club Sectional Championship 2019
253 LudICRous Win 13-7 969.37 Sep 7th West Plains Mixed Club Sectional Championship 2019
22 Chalice Loss 7-15 1117.13 Sep 8th West Plains Mixed Club Sectional Championship 2019
42 Woodwork Loss 6-13 929.81 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)