#22 Chalice (20-4)

avg: 1717.13  •  sd: 65.48  •  top 16/20: 10%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
209 Pushovers-B** Win 13-1 1259.42 Ignored Jun 29th Spirit of the Plains 2019
157 Hellbenders** Win 13-3 1510.56 Ignored Jun 29th Spirit of the Plains 2019
288 Ope!** Win 7-0 671.19 Ignored Jun 30th Spirit of the Plains 2019
93 PanIC Win 13-4 1784.69 Jun 30th Spirit of the Plains 2019
109 Shakedown Win 8-3 1741.92 Jun 30th Spirit of the Plains 2019
53 Pretty Boys and Handsome Girls Win 13-7 1991.36 Jun 30th Spirit of the Plains 2019
129 Bird Win 13-7 1593.1 Jul 27th TCT Select Flight Invite East 2019
18 Columbus Cocktails Win 13-7 2320.14 Jul 27th TCT Select Flight Invite East 2019
27 Storm Loss 10-11 1528.05 Jul 27th TCT Select Flight Invite East 2019
42 Woodwork Win 13-10 1857.95 Jul 28th TCT Select Flight Invite East 2019
17 Steamboat Win 13-12 1902.25 Jul 28th TCT Select Flight Invite East 2019
18 Columbus Cocktails Loss 11-13 1533.76 Jul 28th TCT Select Flight Invite East 2019
58 Toast Win 13-8 1881.24 Aug 17th Cooler Classic 31
100 Risky Business Win 13-4 1769 Aug 17th Cooler Classic 31
118 Stripes Win 13-6 1694.29 Aug 17th Cooler Classic 31
93 PanIC Win 9-5 1713.75 Aug 18th Cooler Classic 31
42 Woodwork Loss 7-8 1404.81 Aug 18th Cooler Classic 31
58 Toast Win 7-6 1510.08 Aug 18th Cooler Classic 31
123 Impact** Win 13-3 1677.49 Ignored Sep 7th West Plains Mixed Club Sectional Championship 2019
157 Hellbenders** Win 13-4 1510.56 Ignored Sep 7th West Plains Mixed Club Sectional Championship 2019
42 Woodwork Win 14-13 1654.81 Sep 7th West Plains Mixed Club Sectional Championship 2019
93 PanIC Win 15-7 1784.69 Sep 8th West Plains Mixed Club Sectional Championship 2019
19 The Chad Larson Experience Loss 8-15 1194.92 Sep 8th West Plains Mixed Club Sectional Championship 2019
42 Woodwork Win 14-10 1928.51 Sep 8th West Plains 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)