#213 Mastodon (13-12)

avg: 645.52  •  sd: 44  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
58 Toast** Loss 1-11 785.08 Ignored Jul 6th Motown Throwdown 2019
160 EMU Loss 8-10 632.25 Jul 6th Motown Throwdown 2019
289 Taco Cat** Win 13-4 567.09 Ignored Jul 7th Motown Throwdown 2019
236 Skyhawks Win 10-6 980.09 Jul 7th Motown Throwdown 2019
263 SlipStream Win 10-9 460.55 Jul 7th Motown Throwdown 2019
282 Sabers Win 11-5 776.95 Jul 7th Motown Throwdown 2019
154 Melt Loss 8-13 417.64 Aug 3rd Heavyweights 2019
214 Stackcats Loss 7-13 79.73 Aug 3rd Heavyweights 2019
251 Mishigami Win 9-8 541.19 Aug 3rd Heavyweights 2019
122 Pandamonium Loss 10-13 753.58 Aug 4th Heavyweights 2019
160 EMU Loss 9-13 476.35 Aug 4th Heavyweights 2019
228 Midwestern Mediocrity Win 12-7 1046.45 Aug 4th Heavyweights 2019
240 Duloofda Win 13-8 967.59 Aug 17th Cooler Classic 31
109 Shakedown Loss 9-13 723.35 Aug 17th Cooler Classic 31
147 Point of No Return Loss 7-13 375.19 Aug 17th Cooler Classic 31
214 Stackcats Loss 11-12 512.26 Aug 17th Cooler Classic 31
226 Boomtown Pandas Win 8-6 872.11 Aug 18th Cooler Classic 31
295 Fox Valley Forge** Win 11-2 308.97 Ignored Aug 18th Cooler Classic 31
218 Great Minnesota Get Together Win 9-7 891.66 Aug 18th Cooler Classic 31
129 Bird Loss 5-13 435.56 Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
226 Boomtown Pandas Win 11-10 696.61 Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
92 Mojo Jojo Loss 4-13 593.15 Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
287 Mufanauts Win 11-7 539.14 Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
141 Mad Udderburn Loss 12-14 747.42 Sep 8th Northwest Plains Mixed Club Sectional Championship 2019
209 Pushovers-B Win 12-11 784.42 Sep 8th Northwest 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)