#241 Madison United Mixed Ultimate (7-14)

avg: 418.94  •  sd: 56.42  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
73 7 Sins** Loss 2-13 629.91 Ignored Jun 29th Spirit of the Plains 2019
107 Shakedown Loss 7-12 572.35 Jun 29th Spirit of the Plains 2019
111 PanIC Loss 7-13 510.44 Jun 29th Spirit of the Plains 2019
255 LudICRous Win 8-6 621.67 Jun 30th Spirit of the Plains 2019
60 Pretty Boys and Handsome Girls** Loss 3-11 703.04 Ignored Jun 30th Spirit of the Plains 2019
256 Robotic Snakes Loss 5-7 -9.53 Jun 30th Spirit of the Plains 2019
287 Ope! Win 8-4 588.38 Jun 30th Spirit of the Plains 2019
208 Pushovers-B Loss 8-9 477.17 Jul 20th Minnesota Ultimate Disc Invitational
152 Melt Loss 8-12 420.17 Jul 20th Minnesota Ultimate Disc Invitational
234 MN Superior Win 10-9 574.94 Jul 21st Minnesota Ultimate Disc Invitational
279 Identity Theft Win 12-8 596.47 Jul 21st Minnesota Ultimate Disc Invitational
176 Mousetrap Loss 4-8 167.62 Jul 21st Minnesota Ultimate Disc Invitational
279 Identity Theft Win 13-12 280.32 Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
141 Point of No Return Loss 8-13 402.47 Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
176 Mousetrap Loss 9-11 483.22 Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
38 Minnesota Star Power** Loss 1-13 911.76 Ignored Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
219 Great Minnesota Get Together Loss 6-13 -43.59 Sep 8th Northwest Plains Mixed Club Sectional Championship 2019
240 Duloofda Win 11-10 544.57 Sep 8th Northwest Plains Mixed Club Sectional Championship 2019
- 2Spooky Win 10-9 728.56 Oct 5th 2019 Fall Dick and Jane
- World's Grayest Loss 5-13 343.61 Oct 5th 2019 Fall Dick and Jane
211 Mastodon Loss 8-10 325.99 Oct 5th 2019 Fall Dick and Jane
**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)