#209 Pushovers-B (10-14)

avg: 659.42  •  sd: 54.11  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
22 Chalice** Loss 1-13 1117.13 Ignored Jun 29th Spirit of the Plains 2019
157 Hellbenders Loss 10-13 582.42 Jun 29th Spirit of the Plains 2019
253 LudICRous Win 8-3 1011.84 Jun 30th Spirit of the Plains 2019
19 The Chad Larson Experience** Loss 4-12 1159.72 Ignored Jun 30th Spirit of the Plains 2019
254 Robotic Snakes Win 11-1 1004.08 Jun 30th Spirit of the Plains 2019
139 Tequila Mockingbird Loss 6-7 860.39 Jun 30th Spirit of the Plains 2019
244 Madison United Mixed Ultimate Win 9-8 586.78 Jul 20th Minnesota Ultimate Disc Invitational
218 Great Minnesota Get Together Win 11-8 977.93 Jul 20th Minnesota Ultimate Disc Invitational
129 Bird Loss 9-10 910.56 Jul 21st Minnesota Ultimate Disc Invitational
226 Boomtown Pandas Loss 8-9 446.61 Jul 21st Minnesota Ultimate Disc Invitational
240 Duloofda Win 11-8 837.04 Jul 21st Minnesota Ultimate Disc Invitational
122 Pandamonium Loss 10-11 956.72 Aug 17th Cooler Classic 31
241 EDM Win 13-6 1070.54 Aug 17th Cooler Classic 31
172 Prion Loss 7-11 332.25 Aug 17th Cooler Classic 31
254 Robotic Snakes Win 11-8 769.69 Aug 17th Cooler Classic 31
141 Mad Udderburn Loss 5-9 439.32 Aug 18th Cooler Classic 31
240 Duloofda Win 9-8 596.43 Aug 18th Cooler Classic 31
156 ELevate Loss 2-9 312.98 Aug 18th Cooler Classic 31
71 Northern Comfort** Loss 5-13 682.76 Ignored Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
122 Pandamonium Loss 3-13 481.72 Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
240 Duloofda Win 13-12 596.43 Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
295 Fox Valley Forge** Win 13-3 308.97 Ignored Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
213 Mastodon Loss 11-12 520.52 Sep 8th Northwest Plains Mixed Club Sectional Championship 2019
171 Mousetrap Loss 7-11 332.66 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)