#135 Trident II (18-16)

avg: 1023.67  •  sd: 52.76  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
233 BeMo Win 9-5 939.96 Jun 18th Spirit of the Plains
192 Minnesota Superior B Win 10-5 1302.16 Jun 18th Spirit of the Plains
204 Loaded Panda Win 12-6 1221.6 Jun 18th Spirit of the Plains
219 THE BODY Win 13-2 1131.59 Jun 24th Spirit of the Plains
148 Minnesota Superior A Loss 9-13 510.92 Jun 24th Spirit of the Plains
46 DeMo Loss 7-13 1006.11 Jun 24th Spirit of the Plains
127 Nomads Loss 9-10 926.02 Jun 24th Spirit of the Plains
130 Diesel Loss 9-13 622.1 Jul 8th Heavyweights 2023
143 STL Moonar Win 13-9 1385.34 Jul 8th Heavyweights 2023
73 Knights of Ni Loss 5-13 785.85 Jul 8th Heavyweights 2023
191 DCVIII Win 12-11 860.58 Jul 8th Heavyweights 2023
179 Timber Loss 11-13 581.71 Jul 9th Heavyweights 2023
194 UFO Win 12-11 841.15 Jul 9th Heavyweights 2023
117 Chimney Loss 5-13 519.57 Jul 9th Heavyweights 2023
170 Rubicon Rapids Win 13-6 1430.18 Aug 19th Cooler Classic 34
147 DINGWOP Win 13-7 1497.65 Aug 19th Cooler Classic 34
148 Minnesota Superior A Win 13-3 1529.49 Aug 19th Cooler Classic 34
90 HouSE Loss 12-13 1171.54 Aug 19th Cooler Classic 34
106 MKE Loss 9-14 708.54 Aug 20th Cooler Classic 34
131 NOx Win 15-12 1339.1 Aug 20th Cooler Classic 34
127 Nomads Win 13-9 1469.59 Aug 20th Cooler Classic 34
239 8-Bit Defenders Win 13-9 727.28 Sep 9th 2023 Mens Central Plains Sectional Championship
126 Blink-122 Weekends Loss 9-12 709.02 Sep 9th 2023 Mens Central Plains Sectional Championship
34 Trident I** Loss 6-15 1061.81 Ignored Sep 9th 2023 Mens Central Plains Sectional Championship
221 Lafayette Street Dogs Win 15-7 1119.61 Sep 9th 2023 Mens Central Plains Sectional Championship
76 Haymaker Loss 10-15 923.55 Sep 10th 2023 Mens Central Plains Sectional Championship
205 On Ramp Win 15-3 1240.19 Sep 10th 2023 Mens Central Plains Sectional Championship
155 Chicago Dark Frogs Win 13-12 1018.2 Sep 10th 2023 Mens Central Plains Sectional Championship
166 Enigma Loss 10-13 511.52 Sep 23rd 2023 Great Lakes Mens Regional Championship
63 I-69 Loss 8-13 953.16 Sep 23rd 2023 Great Lakes Mens Regional Championship
55 Colonels Loss 5-13 903.69 Sep 23rd 2023 Great Lakes Mens Regional Championship
166 Enigma Win 15-14 964.67 Sep 24th 2023 Great Lakes Mens Regional Championship
88 Black Lung Loss 12-15 1002.25 Sep 24th 2023 Great Lakes Mens Regional Championship
126 Blink-122 Weekends Win 13-7 1611.92 Sep 24th 2023 Great Lakes 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)