#40 Pine Baroness (13-9)

avg: 1209.04  •  sd: 65.42  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
42 Frolic Loss 10-12 926.73 Jun 22nd Boston Invite 2019
52 TOX6ix Win 13-6 1578.2 Jun 22nd Boston Invite 2019
37 Vintage Loss 13-14 1091.25 Jun 22nd Boston Invite 2019
24 Salty Loss 8-13 967.54 Jun 22nd Boston Invite 2019
48 Brooklyn Book Club Win 14-12 1303.14 Jun 23rd Boston Invite 2019
73 Ignite Win 15-5 1216.72 Jun 23rd Boston Invite 2019
11 Siege** Loss 5-15 1313.69 Ignored Jun 23rd Boston Invite 2019
56 Venom Loss 10-14 473.07 Jul 13th TCT Select Flight Invite West 2019
38 FAB Win 13-7 1773.29 Jul 13th TCT Select Flight Invite West 2019
10 Traffic** Loss 4-13 1337.23 Ignored Jul 14th TCT Select Flight Invite West 2019
60 Crackle Win 13-7 1390.61 Jul 14th TCT Select Flight Invite West 2019
35 Seattle Soul Loss 9-12 912.62 Jul 14th TCT Select Flight Invite West 2019
36 Rampage Win 11-6 1771.88 Jul 14th TCT Select Flight Invite West 2019
41 Vice Loss 11-12 1050.88 Aug 10th Chesapeake Open 2019
69 Broad City Win 11-9 909.89 Aug 10th Chesapeake Open 2019
66 Hot Metal Win 12-10 957.76 Aug 10th Chesapeake Open 2019
26 Virginia Rebellion Loss 9-14 973.83 Aug 11th Chesapeake Open 2019
58 Agency Win 15-6 1461.73 Aug 11th Chesapeake Open 2019
48 Brooklyn Book Club Win 13-8 1578.34 Aug 11th Chesapeake Open 2019
69 Broad City Win 15-4 1260.68 Sep 7th Founders Womens Club Sectional Championship 2019
65 Eliza Furnace Win 15-9 1241.26 Sep 7th Founders Womens Club Sectional Championship 2019
66 Hot Metal Win 15-7 1319.64 Sep 7th Founders Womens 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)