#99 Black Market II (14-10)

avg: 1052.4  •  sd: 56.16  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
48 Cryptic Loss 5-13 756.2 Aug 3rd Heavyweights 2019
175 Milwaukee Revival Win 13-10 966.06 Aug 3rd Heavyweights 2019
204 Red Imp.ala Win 13-6 1031.21 Aug 3rd Heavyweights 2019
95 HouSE Loss 8-13 573.84 Aug 4th Heavyweights 2019
129 Kentucky Flying Circus Win 11-10 1023.44 Aug 4th Heavyweights 2019
54 Battery Loss 11-13 1078.65 Aug 4th Heavyweights 2019
175 Milwaukee Revival Win 13-12 762.91 Aug 17th Cooler Classic 31
117 Satellite Loss 10-11 832.19 Aug 17th Cooler Classic 31
101 Imperial Loss 11-13 811 Aug 17th Cooler Classic 31
117 Satellite Loss 5-6 832.19 Aug 18th Cooler Classic 31
100 Timber Win 11-4 1641.48 Aug 18th Cooler Classic 31
102 THE BODY Win 7-6 1154.14 Aug 18th Cooler Classic 31
169 MomINtuM Win 13-5 1272.06 Aug 24th Indy Invite Club 2019
224 Bird Patrol** Win 13-1 862.11 Ignored Aug 24th Indy Invite Club 2019
125 Dynasty Win 13-7 1465.85 Aug 24th Indy Invite Club 2019
129 Kentucky Flying Circus Win 15-7 1498.44 Aug 25th Indy Invite Club 2019
128 Enigma Win 11-4 1499.13 Aug 25th Indy Invite Club 2019
70 Omen Loss 12-15 902.03 Aug 25th Indy Invite Club 2019
222 Nasty Girls** Win 13-4 863.02 Ignored Sep 7th Central Plains Mens Club Sectional Championship 2019
47 Haymaker Loss 6-13 761.42 Sep 7th Central Plains Mens Club Sectional Championship 2019
224 Bird Patrol** Win 13-2 862.11 Ignored Sep 7th Central Plains Mens Club Sectional Championship 2019
30 Black Market I Loss 2-13 935.38 Sep 7th Central Plains Mens Club Sectional Championship 2019
47 Haymaker Loss 11-15 980.26 Sep 8th Central Plains Mens Club Sectional Championship 2019
117 Satellite Win 15-12 1257.68 Sep 8th Central 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)