#42 Frolic (13-9)

avg: 1164.85  •  sd: 80.22  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
52 TOX6ix Win 13-10 1306.34 Jun 22nd Boston Invite 2019
24 Salty Win 11-8 1829.31 Jun 22nd Boston Invite 2019
11 Siege** Loss 5-15 1313.69 Ignored Jun 22nd Boston Invite 2019
40 Pine Baroness Win 12-10 1447.16 Jun 22nd Boston Invite 2019
19 BENT Loss 14-15 1568.55 Jun 23rd Boston Invite 2019
37 Vintage Win 15-13 1430.43 Jun 23rd Boston Invite 2019
16 Iris Loss 6-15 1151.91 Jun 23rd Boston Invite 2019
79 Versa** Win 13-3 991.03 Ignored Jul 13th Ow My Knee
98 DINO** Win 13-0 425.45 Ignored Jul 13th Ow My Knee
81 Rush Hour** Win 13-0 922.21 Ignored Jul 13th Ow My Knee
43 Rebel Rebel Loss 8-11 785.26 Jul 13th Ow My Knee
41 Vice Loss 4-10 575.88 Jul 14th Ow My Knee
98 DINO** Win 11-2 425.45 Ignored Jul 14th Ow My Knee
73 Ignite Win 13-4 1216.72 Jul 14th Ow My Knee
79 Versa** Win 13-1 991.03 Ignored Sep 7th East New England Womens Club Sectional Championship 2019
41 Vice Win 8-6 1476.37 Sep 7th East New England Womens Club Sectional Championship 2019
11 Siege** Loss 4-13 1313.69 Ignored Sep 7th East New England Womens Club Sectional Championship 2019
24 Salty Loss 6-13 863.7 Sep 7th East New England Womens Club Sectional Championship 2019
41 Vice Loss 9-10 1050.88 Sep 8th East New England Womens Club Sectional Championship 2019
92 HOPE** Win 13-1 771.34 Ignored Sep 8th East New England Womens Club Sectional Championship 2019
92 HOPE** Win 13-1 771.34 Ignored Sep 8th East New England Womens Club Sectional Championship 2019
24 Salty Loss 6-12 884.39 Sep 8th East New England 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)