#74 Iowa Wild Rose (15-12)

avg: 563.26  •  sd: 57.55  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
33 Fusion** Loss 4-13 682 Ignored Jun 29th Spirit of the Plains 2019
55 Crackle Loss 4-13 268.04 Jun 29th Spirit of the Plains 2019
91 MystiKuE Win 9-8 316 Jun 29th Spirit of the Plains 2019
84 Cold Cuts Win 7-5 628.9 Jun 30th Spirit of the Plains 2019
103 The Matriarchy Win 6-3 205.38 Jun 30th Spirit of the Plains 2019
104 Superior** Win 9-3 133.68 Ignored Jun 30th Spirit of the Plains 2019
76 Viva Loss 6-13 -60.36 Aug 3rd Heavyweights 2019
105 Frenzy Win 13-0 600 Ignored Aug 3rd Heavyweights 2019
67 Helix Win 11-10 787.47 Aug 3rd Heavyweights 2019
91 MystiKuE Win 11-9 440.2 Aug 3rd Heavyweights 2019
83 Inferno Win 13-5 908.17 Aug 4th Heavyweights 2019
91 MystiKuE Win 12-11 316 Aug 4th Heavyweights 2019
84 Cold Cuts Win 12-9 646.12 Aug 17th Cooler Classic 31
55 Crackle Loss 7-13 310.51 Aug 17th Cooler Classic 31
41 Indy Rogue Loss 4-13 529.03 Aug 17th Cooler Classic 31
90 Sureshot Win 12-6 795.95 Aug 17th Cooler Classic 31
84 Cold Cuts Win 9-2 900.76 Aug 18th Cooler Classic 31
91 MystiKuE Win 10-4 791 Aug 18th Cooler Classic 31
27 Wicked** Loss 3-14 801.32 Ignored Sep 7th West Plains Womens Club Sectional Championship 2019
52 Stellar Loss 6-13 359.5 Sep 7th West Plains Womens Club Sectional Championship 2019
27 Wicked Loss 5-11 801.32 Sep 21st North Central Club Womens Regional Championship 2019
33 Fusion Loss 6-13 682 Sep 21st North Central Club Womens Regional Championship 2019
52 Stellar Loss 6-9 540.93 Sep 21st North Central Club Womens Regional Championship 2019
91 MystiKuE Win 11-7 657.89 Sep 21st North Central Club Womens Regional Championship 2019
84 Cold Cuts Win 13-4 900.76 Sep 22nd North Central Club Womens Regional Championship 2019
55 Crackle Loss 4-15 268.04 Sep 22nd North Central Club Womens Regional Championship 2019
16 Pop** Loss 5-15 1080.7 Ignored Sep 22nd North Central Club Womens Regional 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)