#240 Duloofda (5-13)

avg: 471.43  •  sd: 48.49  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
288 Ope! Win 13-9 489.76 Jul 20th Minnesota Ultimate Disc Invitational
171 Mousetrap Win 11-9 1048.76 Jul 21st Minnesota Ultimate Disc Invitational
92 Mojo Jojo Loss 7-12 672.64 Jul 21st Minnesota Ultimate Disc Invitational
154 Melt Loss 7-10 524.13 Jul 21st Minnesota Ultimate Disc Invitational
209 Pushovers-B Loss 8-11 293.82 Jul 21st Minnesota Ultimate Disc Invitational
213 Mastodon Loss 8-13 149.36 Aug 17th Cooler Classic 31
109 Shakedown Loss 8-13 645.76 Aug 17th Cooler Classic 31
295 Fox Valley Forge Win 13-8 205.13 Aug 17th Cooler Classic 31
228 Midwestern Mediocrity Win 14-13 650.94 Aug 17th Cooler Classic 31
171 Mousetrap Loss 6-8 499.06 Aug 18th Cooler Classic 31
214 Stackcats Loss 7-8 512.26 Aug 18th Cooler Classic 31
209 Pushovers-B Loss 8-9 534.42 Aug 18th Cooler Classic 31
71 Northern Comfort** Loss 3-13 682.76 Ignored Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
122 Pandamonium** Loss 3-13 481.72 Ignored Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
295 Fox Valley Forge Win 13-6 308.97 Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
209 Pushovers-B Loss 12-13 534.42 Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
226 Boomtown Pandas Loss 11-13 342.77 Sep 8th Northwest Plains Mixed Club Sectional Championship 2019
244 Madison United Mixed Ultimate Loss 10-11 336.78 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)