#92 Mojo Jojo (15-5)

avg: 1193.15  •  sd: 71.76  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
147 Point of No Return Win 13-9 1351.29 Jul 20th Minnesota Ultimate Disc Invitational
122 Pandamonium Win 8-7 1206.72 Jul 21st Minnesota Ultimate Disc Invitational
240 Duloofda Win 12-7 991.94 Jul 21st Minnesota Ultimate Disc Invitational
147 Point of No Return Win 9-7 1212.06 Jul 21st Minnesota Ultimate Disc Invitational
294 MUTT** Win 13-0 343.34 Ignored Jul 21st Minnesota Ultimate Disc Invitational
122 Pandamonium Loss 10-11 956.72 Aug 17th Cooler Classic 31
226 Boomtown Pandas** Win 13-3 1171.61 Ignored Aug 17th Cooler Classic 31
156 ELevate Win 12-10 1151.11 Aug 17th Cooler Classic 31
172 Prion Loss 12-13 674.14 Aug 17th Cooler Classic 31
122 Pandamonium Win 10-3 1681.72 Aug 18th Cooler Classic 31
109 Shakedown Win 9-5 1670.98 Aug 18th Cooler Classic 31
154 Melt Win 7-6 1038.8 Aug 18th Cooler Classic 31
129 Bird Win 13-5 1635.56 Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
226 Boomtown Pandas** Win 13-2 1171.61 Ignored Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
213 Mastodon Win 13-4 1245.52 Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
287 Mufanauts** Win 13-2 672.25 Ignored Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
71 Northern Comfort Loss 5-12 682.76 Sep 8th Northwest Plains Mixed Club Sectional Championship 2019
122 Pandamonium Loss 10-11 956.72 Sep 8th Northwest Plains Mixed Club Sectional Championship 2019
129 Bird Win 13-8 1531.72 Sep 8th Northwest Plains Mixed Club Sectional Championship 2019
32 NOISE Loss 8-12 1170.65 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)