#217 Stackcats (11-16)

avg: 568.52  •  sd: 57.72  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
153 Buffalo Lake Effect Loss 7-8 734.03 Jul 6th Motown Throwdown 2019
264 SlipStream Win 11-6 815.6 Jul 6th Motown Throwdown 2019
282 Sabers Win 11-1 709.75 Jul 6th Motown Throwdown 2019
33 Hybrid Loss 9-13 1127.84 Jul 7th Motown Throwdown 2019
147 Los Heros Win 10-7 1262.89 Jul 7th Motown Throwdown 2019
132 Liquid Hustle Loss 3-13 367.47 Jul 7th Motown Throwdown 2019
74 Petey's Pirates Loss 7-13 672.35 Jul 7th Motown Throwdown 2019
211 Mastodon Win 13-7 1146.19 Aug 3rd Heavyweights 2019
152 Melt Loss 8-12 420.17 Aug 3rd Heavyweights 2019
250 Mishigami Win 11-9 612.63 Aug 3rd Heavyweights 2019
111 PanIC Loss 3-13 467.97 Aug 3rd Heavyweights 2019
183 Wildstyle Loss 8-13 216.18 Aug 4th Heavyweights 2019
175 Prion Loss 11-12 616.33 Aug 4th Heavyweights 2019
219 Great Minnesota Get Together Win 11-7 1023.3 Aug 17th Cooler Classic 31
211 Mastodon Win 12-11 713.66 Aug 17th Cooler Classic 31
152 Melt Loss 9-12 515.96 Aug 17th Cooler Classic 31
227 Midwestern Mediocrity Loss 11-12 347.03 Aug 17th Cooler Classic 31
240 Duloofda Win 8-7 544.57 Aug 18th Cooler Classic 31
168 ELevate Loss 4-10 180.15 Aug 18th Cooler Classic 31
156 EMU Loss 4-10 246 Aug 18th Cooler Classic 31
277 Indiana Pterodactyl Attack Win 13-7 722.76 Sep 7th Central Plains Mixed Club Sectional Championship 2019
121 Stripes Loss 1-13 442.87 Sep 7th Central Plains Mixed Club Sectional Championship 2019
139 Tequila Mockingbird Loss 8-13 412.51 Sep 7th Central Plains Mixed Club Sectional Championship 2019
264 SlipStream Loss 11-12 143.91 Sep 7th Central Plains Mixed Club Sectional Championship 2019
277 Indiana Pterodactyl Attack Win 15-11 546.39 Sep 8th Central Plains Mixed Club Sectional Championship 2019
199 Jabba Loss 10-15 183.12 Sep 8th Central Plains Mixed Club Sectional Championship 2019
264 SlipStream Win 15-9 784.39 Sep 8th Central 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)