#136 Crucible (16-10)

avg: 931.51  •  sd: 51.98  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
74 Petey's Pirates Loss 8-13 733.72 Jun 22nd Summer Glazed Daze 2019
236 RnB Win 13-6 1033.03 Jun 22nd Summer Glazed Daze 2019
233 Stormborn Win 13-6 1050.35 Jun 22nd Summer Glazed Daze 2019
193 Heavy Flow Win 13-8 1157.29 Jun 23rd Summer Glazed Daze 2019
173 Piedmont United Loss 9-13 339.06 Jun 23rd Summer Glazed Daze 2019
233 Stormborn Win 13-3 1050.35 Jun 23rd Summer Glazed Daze 2019
221 District Cocktails Win 13-9 962.3 Jun 23rd Summer Glazed Daze 2019
189 Hairy Otter Win 12-8 1107.12 Jul 20th Bourbon Bash 2019
248 Second Wind Win 13-7 934.76 Jul 20th Bourbon Bash 2019
254 Derby City Thunder** Win 15-3 929.34 Ignored Jul 20th Bourbon Bash 2019
166 Moonshine Win 14-6 1403.66 Jul 20th Bourbon Bash 2019
172 Thunderpants the Magic Dragon Win 12-5 1357.9 Jul 21st Bourbon Bash 2019
182 Rocket LawnChair Win 14-6 1313.72 Jul 21st Bourbon Bash 2019
80 Trash Pandas Loss 3-8 598.09 Jul 21st Bourbon Bash 2019
71 Chaotic Good Loss 5-13 634.05 Aug 10th Chesapeake Open 2019
128 Legion Loss 8-11 626.04 Aug 10th Chesapeake Open 2019
87 Fleet Win 11-10 1288.71 Aug 10th Chesapeake Open 2019
221 District Cocktails Win 11-6 1090.43 Aug 10th Chesapeake Open 2019
193 Heavy Flow Win 15-6 1261.14 Aug 11th Chesapeake Open 2019
110 Rat City Loss 9-11 825.09 Aug 11th Chesapeake Open 2019
128 Legion Loss 14-15 866.65 Aug 11th Chesapeake Open 2019
90 Blowing Heat 3.0 Loss 13-17 786.63 Sep 7th Founders Mixed Club Sectional Championship 2019
92 The Bandits Loss 9-14 660.48 Sep 7th Founders Mixed Club Sectional Championship 2019
200 Left Turn Lane Loss 13-14 508.41 Sep 7th Founders Mixed Club Sectional Championship 2019
265 I-79 Win 14-7 845.83 Sep 8th Founders Mixed Club Sectional Championship 2019
- Trenton Takers Win 15-9 1119.58 Sep 8th Founders 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)