#219 Carolina Reign (1-22)

avg: 425.47  •  sd: 83.54  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
79 8 Bit Heroes** Loss 4-13 643.22 Ignored Jun 23rd Summer Glazed Daze 2018
18 Loco** Loss 0-13 1134.4 Ignored Jun 23rd Summer Glazed Daze 2018
153 APEX Loss 6-13 253.35 Jun 23rd Summer Glazed Daze 2018
78 Malice in Wonderland Loss 7-13 686.01 Jun 23rd Summer Glazed Daze 2018
212 Mixed Results Win 14-11 827.39 Jun 24th Summer Glazed Daze 2018
156 Heavy Flow Loss 8-10 576.89 Jun 24th Summer Glazed Daze 2018
54 JLP** Loss 3-13 725.88 Ignored Jun 24th Summer Glazed Daze 2018
176 ThunderCats Loss 6-11 159.64 Jun 24th Summer Glazed Daze 2018
42 Mixfits** Loss 3-13 874.53 Ignored Aug 11th HoDown%20ShowDown%20XXII
82 Method Loss 7-13 675.09 Aug 11th HoDown%20ShowDown%20XXII
54 JLP** Loss 3-13 725.88 Ignored Aug 11th HoDown%20ShowDown%20XXII
105 Jackpot Loss 7-13 528.16 Aug 11th HoDown%20ShowDown%20XXII
147 Goose Lee Loss 4-15 283.61 Aug 12th HoDown%20ShowDown%20XXII
205 Fifth Element Loss 8-11 178.38 Aug 12th HoDown%20ShowDown%20XXII
155 Liquid Hustle Loss 1-11 241.83 Aug 12th HoDown%20ShowDown%20XXII
192 RnB Loss 4-10 18.78 Aug 12th HoDown%20ShowDown%20XXII
42 Mixfits** Loss 3-11 874.53 Ignored Sep 8th North Carolina Mixed Sectional Championship 2018
98 Cahoots** Loss 4-11 522.01 Ignored Sep 8th North Carolina Mixed Sectional Championship 2018
63 Rowdy Loss 6-11 742.02 Sep 8th North Carolina Mixed Sectional Championship 2018
41 Storm** Loss 2-11 879.16 Ignored Sep 8th North Carolina Mixed Sectional Championship 2018
176 ThunderCats Loss 7-11 239.44 Sep 8th North Carolina Mixed Sectional Championship 2018
100 FlyTrap** Loss 3-11 514.37 Ignored Sep 9th North Carolina Mixed Sectional Championship 2018
- TAU Loss 8-11 545.03 Sep 9th North Carolina Mixed Sectional 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)