#138 Queen City Kings (8-26)

avg: 995.15  •  sd: 47.95  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
83 Red Wolves Loss 8-10 1085.31 Jun 25th River City Witching Hour
161 MOB Ultimate Win 15-12 1165.27 Jun 25th River City Witching Hour
173 Crypt Loss 9-15 308.68 Jun 25th River City Witching Hour
37 Alliance Loss 8-12 1186.22 Jul 8th Club Terminus 2023
119 Tennessee Folklore Loss 8-11 734.98 Jul 8th Club Terminus 2023
64 Hooch Loss 7-13 891.03 Jul 8th Club Terminus 2023
134 Dyno Loss 8-10 763.49 Jul 9th Club Terminus 2023
150 Nashville Mudcats Loss 5-13 326.2 Jul 9th Club Terminus 2023
118 Raptor Loss 7-8 986.59 Jul 9th Club Terminus 2023
40 Cash Crop 2 Loss 6-13 1020.37 Jul 22nd Filling the Void 2023
121 John Doe Win 12-11 1214.35 Jul 22nd Filling the Void 2023
93 Charleston Heat Stroke Loss 11-12 1166.36 Jul 22nd Filling the Void 2023
210 Oakay Win 13-5 1183.18 Jul 22nd Filling the Void 2023
114 Bloom Loss 7-13 591.78 Jul 23rd Filling the Void 2023
85 Space Cowboys Loss 8-15 747.49 Jul 23rd Filling the Void 2023
213 Stag Win 9-5 1087.52 Jul 23rd Filling the Void 2023
30 Delirium Loss 8-15 1113.87 Aug 12th HoDown Showdown 2023
85 Space Cowboys Win 12-11 1437.3 Aug 12th HoDown Showdown 2023
61 Lost Boys Loss 3-15 865.93 Aug 12th HoDown Showdown 2023
119 Tennessee Folklore Loss 9-10 975.59 Aug 13th HoDown Showdown 2023
144 Music City Mafia Loss 12-13 840.1 Aug 13th HoDown Showdown 2023
35 baNC Loss 7-13 1086.81 Sep 9th 2023 Mens North Carolina Sectional Championship
40 Cash Crop 2 Loss 7-13 1062.84 Sep 9th 2023 Mens North Carolina Sectional Championship
210 Oakay Win 13-3 1183.18 Sep 9th 2023 Mens North Carolina Sectional Championship
101 Triumph Loss 11-13 983.89 Sep 9th 2023 Mens North Carolina Sectional Championship
12 Raleigh-Durham United** Loss 3-13 1406.62 Ignored Sep 10th 2023 Mens North Carolina Sectional Championship
210 Oakay Win 15-5 1183.18 Sep 10th 2023 Mens North Carolina Sectional Championship
101 Triumph Win 14-10 1611.43 Sep 10th 2023 Mens North Carolina Sectional Championship
40 Cash Crop 2** Loss 4-13 1020.37 Ignored Sep 23rd 2023 Southeast Mens Regional Championship
64 Hooch Loss 11-15 1067.4 Sep 23rd 2023 Southeast Mens Regional Championship
12 Raleigh-Durham United** Loss 3-13 1406.62 Ignored Sep 23rd 2023 Southeast Mens Regional Championship
56 Little Red Wagon Loss 8-13 1001.75 Sep 23rd 2023 Southeast Mens Regional Championship
114 Bloom Loss 10-15 695.71 Sep 24th 2023 Southeast Mens Regional Championship
85 Space Cowboys Loss 9-15 796.82 Sep 24th 2023 Southeast Mens Regional Championship
**Blowout Eligible

FAQ

What is the uncertainty of the mean?
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
What's the algorithm again?
  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
Is there a longer explanation of all this?
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)