#184 Chimney (8-18)

avg: 556.37  •  sd: 44.42  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
228 Flying Dutchmen Win 13-12 346.39 Jun 22nd SCINNY 2019
84 Black Lung Loss 8-10 862.89 Jun 22nd SCINNY 2019
205 Flying Pig Win 14-12 650.33 Jun 22nd SCINNY 2019
227 Bird Patrol Win 14-9 707.71 Jun 23rd SCINNY 2019
146 Babe Loss 9-13 398.8 Jun 23rd SCINNY 2019
190 A-Block Win 13-12 656.43 Jun 23rd SCINNY 2019
136 Dynasty Loss 4-14 275.19 Jun 23rd SCINNY 2019
93 Mango Tree Loss 4-13 483.08 Jul 6th Motown Throwdown 2019
235 Buffalo Open Win 13-4 610.32 Jul 6th Motown Throwdown 2019
123 CaSTLe Loss 8-12 482.46 Jul 6th Motown Throwdown 2019
207 BlackER Market X Loss 9-11 158.86 Jul 7th Motown Throwdown 2019
164 BlackER Market Y Loss 8-9 586.11 Jul 7th Motown Throwdown 2019
235 Buffalo Open Win 13-2 610.32 Jul 7th Motown Throwdown 2019
133 Kentucky Flying Circus Loss 2-13 284.93 Jul 7th Motown Throwdown 2019
123 CaSTLe Loss 11-13 694.77 Aug 17th Cooler Classic 31
116 Timber Loss 5-13 368.84 Aug 17th Cooler Classic 31
96 HouSE Loss 6-13 452.49 Aug 17th Cooler Classic 31
178 Milwaukee Revival Loss 7-11 142.17 Aug 18th Cooler Classic 31
177 Red Bat Loss 8-9 487.6 Aug 18th Cooler Classic 31
137 Kansas City Smokestack Loss 4-7 376.29 Aug 18th Cooler Classic 31
208 Red Imp.ala Win 13-7 963.08 Sep 7th East Plains Mens Club Sectional Championship 2019
81 Omen Loss 7-13 581.33 Sep 7th East Plains Mens Club Sectional Championship 2019
33 Nain Rouge** Loss 3-13 878.8 Ignored Sep 7th East Plains Mens Club Sectional Championship 2019
146 Babe Loss 10-12 579.24 Sep 8th East Plains Mens Club Sectional Championship 2019
135 Enigma Loss 11-13 647.03 Sep 8th East Plains Mens Club Sectional Championship 2019
200 NEO Win 13-4 1055.9 Sep 8th East Plains Mens 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)