#160 EMU (18-9)

avg: 894.92  •  sd: 58.25  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
135 Los Heros Loss 8-11 645.47 Jul 6th Motown Throwdown 2019
213 Mastodon Win 10-8 908.19 Jul 6th Motown Throwdown 2019
172 Prion Win 9-4 1399.14 Jul 6th Motown Throwdown 2019
151 Buffalo Lake Effect Win 9-7 1202.42 Jul 7th Motown Throwdown 2019
175 Moonshine Win 9-8 906.83 Jul 7th Motown Throwdown 2019
155 Goose Lee Win 13-9 1331.77 Jul 7th Motown Throwdown 2019
58 Toast Loss 5-8 931.48 Jul 7th Motown Throwdown 2019
93 PanIC Loss 5-13 584.69 Aug 3rd Heavyweights 2019
295 Fox Valley Forge** Win 13-1 308.97 Ignored Aug 3rd Heavyweights 2019
171 Mousetrap Win 13-10 1127.69 Aug 3rd Heavyweights 2019
192 Jabba Win 9-8 833.36 Aug 3rd Heavyweights 2019
213 Mastodon Win 13-9 1064.09 Aug 4th Heavyweights 2019
228 Midwestern Mediocrity Win 13-5 1125.94 Aug 4th Heavyweights 2019
295 Fox Valley Forge** Win 13-1 308.97 Ignored Aug 17th Cooler Classic 31
147 Point of No Return Win 14-13 1057.72 Aug 17th Cooler Classic 31
109 Shakedown Loss 8-11 776.31 Aug 17th Cooler Classic 31
182 Rocket LawnChair Loss 11-13 540.86 Aug 18th Cooler Classic 31
214 Stackcats Win 10-4 1237.26 Aug 18th Cooler Classic 31
171 Mousetrap Loss 9-10 674.55 Aug 18th Cooler Classic 31
192 Jabba Win 6-5 833.36 Aug 18th Cooler Classic 31
135 Los Heros Loss 8-15 446.27 Sep 7th Central Plains Mixed Club Sectional Championship 2019
109 Shakedown Loss 5-15 541.92 Sep 7th Central Plains Mixed Club Sectional Championship 2019
192 Jabba Win 13-8 1204.52 Sep 7th Central Plains Mixed Club Sectional Championship 2019
156 ELevate Loss 10-14 514.28 Sep 8th Central Plains Mixed Club Sectional Championship 2019
156 ELevate Win 14-13 1037.98 Sep 8th Central Plains Mixed Club Sectional Championship 2019
236 Skyhawks Win 15-8 1048.74 Sep 8th Central Plains Mixed Club Sectional Championship 2019
192 Jabba Win 15-13 922.54 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)