#42 Mixfits (17-8)

avg: 1474.53  •  sd: 99.79  •  top 16/20: 0.1%

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# Opponent Result Game Rating Status Date Event
212 Mixed Results** Win 13-5 1114.05 Ignored Jun 23rd Summer Glazed Daze 2018
224 Stormborn** Win 13-2 957.45 Ignored Jun 23rd Summer Glazed Daze 2018
41 Storm Loss 6-13 879.16 Jun 23rd Summer Glazed Daze 2018
101 Tyrannis Loss 10-11 987.39 Jun 23rd Summer Glazed Daze 2018
63 Rowdy Loss 11-12 1163.72 Jun 24th Summer Glazed Daze 2018
78 Malice in Wonderland Loss 10-11 1118.54 Jun 24th Summer Glazed Daze 2018
82 Method Win 13-11 1461.46 Aug 11th HoDown%20ShowDown%20XXII
54 JLP Win 13-9 1744.44 Aug 11th HoDown%20ShowDown%20XXII
105 Jackpot Win 13-9 1504.26 Aug 11th HoDown%20ShowDown%20XXII
219 Carolina Reign** Win 13-3 1025.47 Ignored Aug 11th HoDown%20ShowDown%20XXII
78 Malice in Wonderland Win 15-8 1808.35 Aug 12th HoDown%20ShowDown%20XXII
90 Mutiny Win 15-9 1681.17 Aug 12th HoDown%20ShowDown%20XXII
84 'Shine Win 15-13 1435.64 Aug 12th HoDown%20ShowDown%20XXII
176 ThunderCats** Win 11-4 1306.33 Ignored Sep 8th North Carolina Mixed Sectional Championship 2018
98 Cahoots Win 11-5 1722.01 Sep 8th North Carolina Mixed Sectional Championship 2018
63 Rowdy Win 11-6 1835.41 Sep 8th North Carolina Mixed Sectional Championship 2018
219 Carolina Reign** Win 11-3 1025.47 Ignored Sep 8th North Carolina Mixed Sectional Championship 2018
41 Storm Loss 10-11 1354.16 Sep 8th North Carolina Mixed Sectional Championship 2018
60 NC Galaxy Win 13-10 1625.69 Sep 9th North Carolina Mixed Sectional Championship 2018
41 Storm Win 13-7 2036.69 Sep 9th North Carolina Mixed Sectional Championship 2018
78 Malice in Wonderland Loss 10-11 1118.54 Sep 22nd Southeast Mixed Regional Championship 2018
100 FlyTrap Win 13-3 1714.37 Sep 22nd Southeast Mixed Regional Championship 2018
56 Murmur Win 13-12 1446.17 Sep 22nd Southeast Mixed Regional Championship 2018
41 Storm Loss 12-13 1354.16 Sep 23rd Southeast Mixed Regional Championship 2018
54 JLP Loss 10-13 997.73 Sep 23rd Southeast Mixed Regional Championship 2018
**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)