#214 Stackcats (11-16)

avg: 637.26  •  sd: 57.72  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
151 Buffalo Lake Effect Loss 7-8 798.09 Jul 6th Motown Throwdown 2019
263 SlipStream Win 11-6 882.24 Jul 6th Motown Throwdown 2019
282 Sabers Win 11-1 776.95 Jul 6th Motown Throwdown 2019
73 Petey's Pirates Loss 7-13 717.15 Jul 7th Motown Throwdown 2019
132 Liquid Hustle Loss 3-13 423.82 Jul 7th Motown Throwdown 2019
135 Los Heros Win 10-7 1400.74 Jul 7th Motown Throwdown 2019
33 Hybrid Loss 9-13 1182 Jul 7th Motown Throwdown 2019
93 PanIC Loss 3-13 584.69 Aug 3rd Heavyweights 2019
213 Mastodon Win 13-7 1203.06 Aug 3rd Heavyweights 2019
251 Mishigami Win 11-9 665.4 Aug 3rd Heavyweights 2019
154 Melt Loss 8-12 472.64 Aug 3rd Heavyweights 2019
172 Prion Loss 11-12 674.14 Aug 4th Heavyweights 2019
169 Wildstyle Loss 8-13 315.13 Aug 4th Heavyweights 2019
213 Mastodon Win 12-11 770.52 Aug 17th Cooler Classic 31
218 Great Minnesota Get Together Win 11-7 1079.21 Aug 17th Cooler Classic 31
228 Midwestern Mediocrity Loss 11-12 400.94 Aug 17th Cooler Classic 31
154 Melt Loss 9-12 568.43 Aug 17th Cooler Classic 31
240 Duloofda Win 8-7 596.43 Aug 18th Cooler Classic 31
156 ELevate Loss 4-10 312.98 Aug 18th Cooler Classic 31
160 EMU Loss 4-10 294.92 Aug 18th Cooler Classic 31
277 Indiana Pterodactyl Attack Win 13-7 780.84 Sep 7th Central Plains Mixed Club Sectional Championship 2019
263 SlipStream Loss 11-12 210.55 Sep 7th Central Plains Mixed Club Sectional Championship 2019
118 Stripes Loss 1-13 494.29 Sep 7th Central Plains Mixed Club Sectional Championship 2019
139 Tequila Mockingbird Loss 8-13 489.23 Sep 7th Central Plains Mixed Club Sectional Championship 2019
277 Indiana Pterodactyl Attack Win 15-11 604.48 Sep 8th Central Plains Mixed Club Sectional Championship 2019
192 Jabba Loss 10-15 254.76 Sep 8th Central Plains Mixed Club Sectional Championship 2019
263 SlipStream Win 15-9 851.03 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)