#156 Heavy Flow (14-15)

avg: 839.56  •  sd: 70.3  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
56 Murmur Loss 6-13 721.17 Jun 23rd Summer Glazed Daze 2018
99 Legion Loss 5-12 515.26 Jun 23rd Summer Glazed Daze 2018
176 ThunderCats Win 12-11 831.33 Jun 23rd Summer Glazed Daze 2018
95 Ant Madness Loss 7-13 589.75 Jun 23rd Summer Glazed Daze 2018
100 FlyTrap Loss 3-11 514.37 Jun 24th Summer Glazed Daze 2018
149 Crucible Win 15-9 1395.19 Jun 24th Summer Glazed Daze 2018
219 Carolina Reign Win 10-8 688.13 Jun 24th Summer Glazed Daze 2018
153 APEX Loss 0-9 253.35 Jun 24th Summer Glazed Daze 2018
224 Stormborn Win 9-7 636.79 Jul 21st SunRise Open 2018
132 HVAC Loss 7-9 683.19 Jul 21st SunRise Open 2018
173 Fake Newport News Win 13-12 866.57 Jul 21st SunRise Open 2018
60 NC Galaxy Loss 11-13 1068.71 Jul 22nd SunRise Open 2018
126 American Hyperbole Loss 7-11 515.37 Jul 22nd SunRise Open 2018
153 APEX Win 13-9 1271.92 Jul 22nd SunRise Open 2018
206 Varsity Win 10-5 1116.59 Aug 11th Philly Open 2018
224 Stormborn Win 13-6 957.45 Aug 11th Philly Open 2018
83 Birds Loss 4-9 625.54 Aug 11th Philly Open 2018
127 Funk Loss 9-12 635.51 Aug 12th Philly Open 2018
141 Powermove Win 11-7 1360.41 Aug 12th Philly Open 2018
158 Philly Twist Win 10-9 940.1 Aug 12th Philly Open 2018
101 Tyrannis Loss 6-11 565.7 Sep 8th Capital Mixed Sectional Championship 2018
179 LORD Win 9-6 1099.78 Sep 8th Capital Mixed Sectional Championship 2018
232 Baltimore BENCH Win 11-2 889.24 Sep 8th Capital Mixed Sectional Championship 2018
95 Ant Madness Loss 7-10 757.61 Sep 8th Capital Mixed Sectional Championship 2018
239 Pandatime** Win 11-2 767.17 Ignored Sep 8th Capital Mixed Sectional Championship 2018
101 Tyrannis Loss 9-10 987.39 Sep 9th Capital Mixed Sectional Championship 2018
99 Legion Loss 8-9 990.26 Sep 9th Capital Mixed Sectional Championship 2018
179 LORD Win 8-7 806.22 Sep 9th Capital Mixed Sectional Championship 2018
126 American Hyperbole Loss 8-10 719.59 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)