#156 Stackcats (10-14)

avg: 813.82  •  sd: 47.11  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
143 Skyhawks Loss 10-13 523.35 Jul 8th Heavyweights 2023
191 2Fly2Furious Win 12-9 939.14 Jul 8th Heavyweights 2023
129 Bandwagon Loss 9-13 500.64 Jul 8th Heavyweights 2023
182 The Force Win 11-8 1004.83 Jul 8th Heavyweights 2023
104 Queen City Gambit Loss 9-11 800.43 Jul 9th Heavyweights 2023
132 Mousetrap Loss 9-12 553.49 Jul 9th Heavyweights 2023
240 PanIC Win 13-6 741.66 Jul 22nd Corny Classic II
161 Prion Win 12-9 1128.97 Jul 22nd Corny Classic II
89 Three Rivers Ultimate Club Loss 9-12 774.94 Jul 22nd Corny Classic II
209 Mastodon Win 12-10 701.08 Jul 23rd Corny Classic II
121 Jabba Loss 13-15 770.69 Jul 23rd Corny Classic II
146 Indiana Pterodactyl Attack Loss 12-13 713.82 Jul 23rd Corny Classic II
112 Pushovers Loss 10-11 896.99 Aug 19th Cooler Classic 34
144 Point of No Return Loss 11-13 618.06 Aug 19th Cooler Classic 34
215 Lake Superior Disc Win 13-6 1027.5 Aug 19th Cooler Classic 34
121 Jabba Loss 9-10 859.87 Aug 19th Cooler Classic 34
181 Frostbite Loss 9-11 391.95 Aug 20th Cooler Classic 34
209 Mastodon Win 13-8 959.11 Aug 20th Cooler Classic 34
215 Lake Superior Disc Win 15-5 1027.5 Aug 20th Cooler Classic 34
19 RAMP Loss 7-15 1138.88 Sep 9th 2023 Mixed Central Plains Sectional Championship
161 Prion Loss 8-11 418 Sep 9th 2023 Mixed Central Plains Sectional Championship
173 Practice Player Penguins [JV] Loss 9-10 608.97 Sep 9th 2023 Mixed Central Plains Sectional Championship
212 ELevate Win 11-6 989.48 Sep 10th 2023 Mixed Central Plains Sectional Championship
121 Jabba Win 11-9 1234.08 Sep 10th 2023 Mixed Central Plains Sectional Championship
**Blowout Eligible

FAQ

What is the uncertainty of the mean?
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
What's the algorithm again?
  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
Is there a longer explanation of all this?
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)