#74 DeMo (12-13)

avg: 1168.98  •  sd: 55.35  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
48 Cryptic Loss 11-13 1127.36 Jun 29th Spirit of the Plains 2019
34 Mad Men Loss 11-13 1245.57 Jun 29th Spirit of the Plains 2019
25 General Strike Loss 7-13 1007.36 Jun 29th Spirit of the Plains 2019
102 THE BODY Loss 2-11 429.14 Jun 29th Spirit of the Plains 2019
34 Mad Men Win 12-11 1599.41 Jun 30th Spirit of the Plains 2019
130 Kansas City Smokestack Win 11-9 1145.84 Jun 30th Spirit of the Plains 2019
56 Scythe Win 13-11 1516.9 Jul 20th The Royal Experience 2019
234 Identity Crisis** Win 13-1 652.9 Ignored Jul 20th The Royal Experience 2019
136 Syndicate Win 13-8 1352.24 Jul 20th The Royal Experience 2019
118 CaSTLe Win 13-5 1553.91 Jul 20th The Royal Experience 2019
130 Kansas City Smokestack Win 15-8 1461.44 Jul 21st The Royal Experience 2019
60 Swans Loss 14-15 1146.27 Jul 21st The Royal Experience 2019
85 Dreadnought Loss 11-12 990.25 Jul 21st The Royal Experience 2019
48 Cryptic Loss 14-15 1231.2 Aug 17th Cooler Classic 31
34 Mad Men Loss 10-13 1146.26 Aug 17th Cooler Classic 31
41 MKE Loss 7-11 943.94 Aug 17th Cooler Classic 31
95 HouSE Loss 11-13 841.16 Aug 17th Cooler Classic 31
117 Satellite Loss 7-8 832.19 Aug 18th Cooler Classic 31
130 Kansas City Smokestack Win 10-9 1021.64 Aug 18th Cooler Classic 31
102 THE BODY Win 9-7 1308.47 Aug 18th Cooler Classic 31
183 Yacht Club Win 15-7 1164.6 Sep 7th West Plains Mens Club Sectional Championship 2019
118 CaSTLe Win 14-13 1078.91 Sep 7th West Plains Mens Club Sectional Championship 2019
32 Prairie Fire Loss 12-14 1293.15 Sep 7th West Plains Mens Club Sectional Championship 2019
48 Cryptic Loss 12-15 1055.71 Sep 8th West Plains Mens Club Sectional Championship 2019
130 Kansas City Smokestack Win 15-2 1496.64 Sep 8th West Plains 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)