#42 Woodwork (15-11)

avg: 1529.81  •  sd: 51.55  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
66 Flight Club Win 10-9 1458.31 Jun 22nd Fort Collins Summer Solstice 2019
69 Instant Karma Win 13-7 1863.83 Jun 22nd Fort Collins Summer Solstice 2019
8 shame. Loss 6-13 1326.6 Jun 22nd Fort Collins Summer Solstice 2019
60 Rubix Win 13-7 1922.44 Jun 22nd Fort Collins Summer Solstice 2019
14 Love Tractor Loss 9-14 1352.43 Jun 23rd Fort Collins Summer Solstice 2019
52 Mesteño Win 15-9 1957.24 Jun 23rd Fort Collins Summer Solstice 2019
24 MOONDOG Loss 9-15 1194.95 Jun 23rd Fort Collins Summer Solstice 2019
57 8 Bit Heroes Win 14-13 1516.87 Jul 27th TCT Select Flight Invite East 2019
62 JLP Win 13-7 1908.54 Jul 27th TCT Select Flight Invite East 2019
5 Wild Card Loss 9-12 1657.38 Jul 27th TCT Select Flight Invite East 2019
139 Tequila Mockingbird Win 13-5 1585.39 Jul 27th TCT Select Flight Invite East 2019
22 Chalice Loss 10-13 1388.99 Jul 28th TCT Select Flight Invite East 2019
33 Hybrid Win 12-9 1945.93 Jul 28th TCT Select Flight Invite East 2019
5 Wild Card Loss 6-13 1402.74 Jul 28th TCT Select Flight Invite East 2019
71 Northern Comfort Win 13-9 1701.32 Aug 17th Cooler Classic 31
93 PanIC Win 13-8 1680.85 Aug 17th Cooler Classic 31
33 Hybrid Loss 6-13 1000.57 Aug 17th Cooler Classic 31
22 Chalice Win 8-7 1842.13 Aug 18th Cooler Classic 31
33 Hybrid Loss 7-9 1321.23 Aug 18th Cooler Classic 31
100 Risky Business Win 10-8 1431.67 Aug 18th Cooler Classic 31
22 Chalice Loss 13-14 1592.13 Sep 7th West Plains Mixed Club Sectional Championship 2019
157 Hellbenders Win 13-6 1510.56 Sep 7th West Plains Mixed Club Sectional Championship 2019
123 Impact Win 11-10 1202.49 Sep 7th West Plains Mixed Club Sectional Championship 2019
93 PanIC Win 13-6 1784.69 Sep 8th West Plains Mixed Club Sectional Championship 2019
22 Chalice Loss 10-14 1318.43 Sep 8th West Plains Mixed Club Sectional Championship 2019
19 The Chad Larson Experience Loss 9-15 1244.24 Sep 8th West Plains Mixed 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)