#172 Prion (12-13)

avg: 799.14  •  sd: 67.96  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
135 Los Heros Loss 7-9 731.74 Jul 6th Motown Throwdown 2019
160 EMU Loss 4-9 294.92 Jul 6th Motown Throwdown 2019
58 Toast Loss 7-10 995.42 Jul 6th Motown Throwdown 2019
73 Petey's Pirates Loss 6-10 778.52 Jul 7th Motown Throwdown 2019
196 Petey's Scallywags Loss 8-9 575.71 Jul 7th Motown Throwdown 2019
257 Derby City Thunder Win 10-9 502.02 Jul 7th Motown Throwdown 2019
175 Moonshine Loss 8-9 656.83 Jul 7th Motown Throwdown 2019
122 Pandamonium Win 11-9 1330.93 Aug 3rd Heavyweights 2019
135 Los Heros Loss 9-13 592.51 Aug 3rd Heavyweights 2019
192 Jabba Win 11-10 833.36 Aug 3rd Heavyweights 2019
156 ELevate Loss 8-13 416.83 Aug 4th Heavyweights 2019
214 Stackcats Win 12-11 762.26 Aug 4th Heavyweights 2019
226 Boomtown Pandas Loss 10-12 333.49 Aug 17th Cooler Classic 31
92 Mojo Jojo Win 13-12 1318.15 Aug 17th Cooler Classic 31
209 Pushovers-B Win 11-7 1126.32 Aug 17th Cooler Classic 31
129 Bird Loss 2-11 435.56 Aug 18th Cooler Classic 31
147 Point of No Return Win 9-8 1057.72 Aug 18th Cooler Classic 31
171 Mousetrap Win 10-7 1189.22 Aug 18th Cooler Classic 31
182 Rocket LawnChair Win 7-2 1369.7 Aug 18th Cooler Classic 31
125 Nothing's Great Again Win 13-8 1548.51 Sep 7th Central Plains Mixed Club Sectional Championship 2019
156 ELevate Loss 6-13 312.98 Sep 7th Central Plains Mixed Club Sectional Championship 2019
277 Indiana Pterodactyl Attack Win 13-4 823.31 Sep 7th Central Plains Mixed Club Sectional Championship 2019
263 SlipStream Win 13-8 831.71 Sep 7th Central Plains Mixed Club Sectional Championship 2019
132 Liquid Hustle Loss 6-15 423.82 Sep 8th Central Plains Mixed Club Sectional Championship 2019
192 Jabba Loss 13-14 583.36 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)