#60 Rubix (13-12)

avg: 1364.9  •  sd: 57.14  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
66 Flight Club Win 13-5 1933.31 Jun 22nd Fort Collins Summer Solstice 2019
69 Instant Karma Win 12-8 1747.45 Jun 22nd Fort Collins Summer Solstice 2019
8 shame. Loss 7-13 1369.06 Jun 22nd Fort Collins Summer Solstice 2019
42 Woodwork Loss 7-13 972.28 Jun 22nd Fort Collins Summer Solstice 2019
24 MOONDOG Loss 5-15 1110.43 Jun 23rd Fort Collins Summer Solstice 2019
52 Mesteño Loss 9-14 967.89 Jun 23rd Fort Collins Summer Solstice 2019
179 Long Beach Legacy Win 11-4 1373.82 Aug 3rd 4th Annual Coconino Classic 2019
239 Fear and Loathing Win 7-3 1078.37 Aug 3rd 4th Annual Coconino Classic 2019
143 Superstition Win 11-6 1496.98 Aug 3rd 4th Annual Coconino Classic 2019
69 Instant Karma Win 14-10 1705 Aug 4th 4th Annual Coconino Classic 2019
44 Pivot Loss 3-8 900.13 Aug 4th 4th Annual Coconino Classic 2019
6 BFG Loss 8-13 1470.95 Aug 17th Northwest Fruit Bowl 2019
28 Lights Out Loss 9-11 1394.4 Aug 17th Northwest Fruit Bowl 2019
26 Public Enemy Loss 4-13 1098.29 Aug 17th Northwest Fruit Bowl 2019
19 The Chad Larson Experience Loss 7-13 1202.19 Aug 17th Northwest Fruit Bowl 2019
48 Classy Win 9-8 1591.35 Aug 18th Northwest Fruit Bowl 2019
28 Lights Out Loss 8-13 1147.45 Aug 18th Northwest Fruit Bowl 2019
19 The Chad Larson Experience Loss 9-13 1341.16 Aug 18th Northwest Fruit Bowl 2019
179 Long Beach Legacy Win 15-8 1338.63 Sep 7th So Cal Mixed Club Sectional Championship 2019
69 Instant Karma Win 12-8 1747.45 Sep 7th So Cal Mixed Club Sectional Championship 2019
176 Spoiler Alert Win 15-11 1162.6 Sep 7th So Cal Mixed Club Sectional Championship 2019
106 California Burrito Win 12-6 1727.53 Sep 8th So Cal Mixed Club Sectional Championship 2019
69 Instant Karma Win 11-9 1555.5 Sep 8th So Cal Mixed Club Sectional Championship 2019
101 Robot Loss 11-13 939.09 Sep 8th So Cal Mixed Club Sectional Championship 2019
143 Superstition Win 11-6 1496.98 Sep 8th So Cal 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)