#192 RnB (7-16)

avg: 618.78  •  sd: 69.47  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
60 NC Galaxy Loss 6-12 718.24 Jun 23rd Summer Glazed Daze 2018
126 American Hyperbole Loss 4-13 382.26 Jun 23rd Summer Glazed Daze 2018
149 Crucible Win 13-10 1207.85 Jun 23rd Summer Glazed Daze 2018
98 Cahoots Loss 4-13 522.01 Jun 23rd Summer Glazed Daze 2018
15 Toro** Loss 5-13 1160.64 Ignored Jun 24th Summer Glazed Daze 2018
149 Crucible Loss 11-14 566.37 Jun 24th Summer Glazed Daze 2018
176 ThunderCats Loss 10-13 378.19 Jun 24th Summer Glazed Daze 2018
224 Stormborn Win 13-11 586.29 Jun 24th Summer Glazed Daze 2018
100 FlyTrap Loss 7-13 556.84 Aug 11th HoDown%20ShowDown%20XXII
147 Goose Lee Loss 8-13 387.45 Aug 11th HoDown%20ShowDown%20XXII
103 Trash Pandas Loss 5-13 505.22 Aug 11th HoDown%20ShowDown%20XXII
63 Rowdy Loss 6-13 688.72 Aug 11th HoDown%20ShowDown%20XXII
219 Carolina Reign Win 10-4 1025.47 Aug 12th HoDown%20ShowDown%20XXII
105 Jackpot Loss 14-15 960.69 Aug 12th HoDown%20ShowDown%20XXII
155 Liquid Hustle Loss 5-8 388.22 Aug 12th HoDown%20ShowDown%20XXII
205 Fifth Element Win 9-7 823.32 Aug 12th HoDown%20ShowDown%20XXII
- Vacation** Win 11-2 579.6 Ignored Sep 8th Capital Mixed Sectional Championship 2018
132 HVAC Loss 6-10 466.37 Sep 8th Capital Mixed Sectional Championship 2018
79 8 Bit Heroes Loss 6-11 696.52 Sep 8th Capital Mixed Sectional Championship 2018
243 SPACE INVADERS Win 11-3 620.63 Sep 8th Capital Mixed Sectional Championship 2018
87 Sparkle Ponies Loss 3-11 577.43 Sep 8th Capital Mixed Sectional Championship 2018
173 Fake Newport News Loss 7-11 274.67 Sep 9th Capital Mixed Sectional Championship 2018
232 Baltimore BENCH Win 11-7 756.13 Sep 9th Capital 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)