#51 Minnesota Star Power (10-10)

avg: 1459.03  •  sd: 67.76  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
48 Classy Win 15-12 1766.84 Jul 13th TCT Select Flight Invite West 2019
56 Grand Army Loss 12-13 1276.86 Jul 13th TCT Select Flight Invite West 2019
26 Public Enemy Win 12-10 1936.41 Jul 13th TCT Select Flight Invite West 2019
28 Lights Out Loss 7-13 1086.08 Jul 14th TCT Select Flight Invite West 2019
68 Metro North Win 9-8 1440.24 Jul 14th TCT Select Flight Invite West 2019
24 MOONDOG Loss 8-12 1269.28 Jul 14th TCT Select Flight Invite West 2019
48 Classy Loss 10-13 1138.21 Aug 17th Northwest Fruit Bowl 2019
29 Lotus Win 10-7 2032.75 Aug 17th Northwest Fruit Bowl 2019
3 Seattle Mixtape Loss 8-11 1718.11 Aug 17th Northwest Fruit Bowl 2019
52 Mesteño Loss 9-11 1192.55 Aug 17th Northwest Fruit Bowl 2019
43 Birdfruit Loss 10-11 1392.79 Aug 18th Northwest Fruit Bowl 2019
48 Classy Loss 12-13 1341.35 Aug 18th Northwest Fruit Bowl 2019
28 Lights Out Loss 7-13 1086.08 Aug 18th Northwest Fruit Bowl 2019
244 Madison United Mixed Ultimate** Win 13-1 1061.78 Ignored Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
279 Identity Theft** Win 13-2 809.93 Ignored Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
147 Point of No Return Win 13-8 1428.88 Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
171 Mousetrap Win 13-8 1295.71 Sep 7th Northwest Plains Mixed Club Sectional Championship 2019
71 Northern Comfort Win 12-7 1803.27 Sep 8th Northwest Plains Mixed Club Sectional Championship 2019
122 Pandamonium Win 13-5 1681.72 Sep 8th Northwest Plains Mixed Club Sectional Championship 2019
32 NOISE Loss 9-11 1362.59 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)