#76 Haymaker (13-12)

avg: 1377.16  •  sd: 56.97  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
36 Kansas City Smokestack Loss 1-15 1041.9 Jul 15th TCT Select Flight West 2023
171 Sonoran Dog Win 15-6 1428.2 Jul 15th TCT Select Flight West 2023
74 Hazard Loss 7-8 1258.45 Jul 15th TCT Select Flight West 2023
182 Anchor Win 15-6 1385.91 Jul 16th TCT Select Flight West 2023
78 Drought Win 13-12 1499.11 Jul 16th TCT Select Flight West 2023
87 Ghost Train Loss 10-11 1184.41 Jul 16th TCT Select Flight West 2023
47 Beacon Win 13-12 1688.24 Aug 19th Cooler Classic 34
17 STL Lounar Loss 7-10 1519.69 Aug 19th Cooler Classic 34
143 STL Moonar Win 13-2 1566.77 Aug 19th Cooler Classic 34
46 DeMo Loss 8-12 1122.49 Aug 19th Cooler Classic 34
36 Kansas City Smokestack Loss 7-15 1041.9 Aug 20th Cooler Classic 34
90 HouSE Loss 11-15 915.38 Aug 20th Cooler Classic 34
205 On Ramp** Win 15-3 1240.19 Ignored Sep 9th 2023 Mens Central Plains Sectional Championship
155 Chicago Dark Frogs Win 15-7 1493.2 Sep 9th 2023 Mens Central Plains Sectional Championship
249 TrIIIdent** Win 15-2 723.04 Ignored Sep 9th 2023 Mens Central Plains Sectional Championship
63 I-69 Loss 11-12 1324.32 Sep 9th 2023 Mens Central Plains Sectional Championship
126 Blink-122 Weekends Loss 10-12 816.27 Sep 10th 2023 Mens Central Plains Sectional Championship
135 Trident II Win 15-10 1477.28 Sep 10th 2023 Mens Central Plains Sectional Championship
166 Enigma Win 15-6 1439.67 Sep 23rd 2023 Great Lakes Mens Regional Championship
88 Black Lung Win 13-7 1860.27 Sep 23rd 2023 Great Lakes Mens Regional Championship
5 Chicago Machine Loss 7-13 1632.17 Sep 23rd 2023 Great Lakes Mens Regional Championship
155 Chicago Dark Frogs Win 13-6 1493.2 Sep 23rd 2023 Great Lakes Mens Regional Championship
47 Beacon Loss 11-15 1182.07 Sep 24th 2023 Great Lakes Mens Regional Championship
27 Omen Loss 9-15 1224.3 Sep 24th 2023 Great Lakes Mens Regional Championship
63 I-69 Win 15-12 1749.81 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)