#223 District Cocktails (9-16)

avg: 587.92  •  sd: 51.27  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
119 Seoulmates Loss 7-13 532.01 Jun 22nd Summer Glazed Daze 2019
274 Rampage Win 13-6 853.59 Jun 22nd Summer Glazed Daze 2019
131 Legion Loss 5-13 429.65 Jun 22nd Summer Glazed Daze 2019
165 APEX Win 12-10 1083.23 Jun 23rd Summer Glazed Daze 2019
140 Crucible Loss 9-13 564.89 Jun 23rd Summer Glazed Daze 2019
191 LORD Loss 7-10 324.24 Jun 23rd Summer Glazed Daze 2019
242 RnB Win 12-7 985.58 Jun 23rd Summer Glazed Daze 2019
270 Baltimore BENCH Win 12-6 871.95 Jul 13th Battle for the Beltway 2019
85 HVAC** Loss 5-13 631.84 Ignored Jul 13th Battle for the Beltway 2019
191 LORD Loss 8-9 588.9 Jul 13th Battle for the Beltway 2019
291 Swing Vote Win 13-6 547.91 Jul 13th Battle for the Beltway 2019
216 Espionage Win 13-9 1037.52 Jul 14th Battle for the Beltway 2019
237 Stormborn Win 11-8 847.25 Jul 14th Battle for the Beltway 2019
61 Chaotic Good** Loss 4-13 751.87 Ignored Aug 10th Chesapeake Open 2019
140 Crucible Loss 6-11 436.76 Aug 10th Chesapeake Open 2019
90 Fleet Loss 5-10 623.24 Aug 10th Chesapeake Open 2019
131 Legion Loss 7-11 562.76 Aug 10th Chesapeake Open 2019
72 Ant Madness Loss 8-13 780.14 Aug 11th Chesapeake Open 2019
131 Legion Loss 9-14 555.78 Aug 11th Chesapeake Open 2019
281 Nottoway Flatball Club Win 10-9 309.96 Sep 7th Capital Mixed Club Sectional Championship 2019
85 HVAC Loss 6-13 631.84 Sep 7th Capital Mixed Club Sectional Championship 2019
195 Heavy Flow Loss 10-11 576.66 Sep 7th Capital Mixed Club Sectional Championship 2019
103 Tyrannis Loss 4-13 560.03 Sep 7th Capital Mixed Club Sectional Championship 2019
247 Pandatime Loss 0-20 -152.03 Sep 8th Capital Mixed Club Sectional Championship 2019
242 RnB Win 13-12 590.07 Sep 8th Capital 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)