#81 The Feminists (13-9)

avg: 1252.72  •  sd: 69.11  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
151 Buffalo Lake Effect Win 13-11 1151.93 Jun 22nd Boston Invite 2019
35 League of Shadows Loss 5-12 963.4 Jun 22nd Boston Invite 2019
5 Wild Card** Loss 2-13 1402.74 Ignored Jun 22nd Boston Invite 2019
31 XIST Loss 6-13 1025.92 Jun 22nd Boston Invite 2019
110 Battleship Win 14-10 1524.94 Jun 23rd Boston Invite 2019
2 AMP** Loss 6-15 1507.37 Ignored Jun 23rd Boston Invite 2019
39 Darkwing Win 10-9 1666.07 Jun 23rd Boston Invite 2019
86 Eat Lightning Loss 10-11 1096.84 Aug 17th Chowdafest 2019
204 Rainbow Win 11-7 1147.94 Aug 17th Chowdafest 2019
133 Night Shift Win 12-10 1258.18 Aug 17th Chowdafest 2019
97 Sunken Circus Win 13-12 1302.86 Aug 17th Chowdafest 2019
39 Darkwing Loss 7-13 983.54 Aug 18th Chowdafest 2019
124 Happy Valley Win 11-6 1614.06 Aug 18th Chowdafest 2019
197 x-C Win 13-8 1195.85 Aug 18th Chowdafest 2019
88 The Bandits Loss 10-11 1077.88 Aug 18th Chowdafest 2019
96 Birds Loss 8-11 812.78 Sep 7th Metro New York Mixed Club Sectional Championship 2019
86 Eat Lightning Loss 9-11 972.63 Sep 7th Metro New York Mixed Club Sectional Championship 2019
296 Pink pear 2019** Win 17-4 283.89 Ignored Sep 7th Metro New York Mixed Club Sectional Championship 2019
86 Eat Lightning Win 12-8 1662.99 Sep 8th Metro New York Mixed Club Sectional Championship 2019
120 Funk Win 14-9 1560.65 Sep 8th Metro New York Mixed Club Sectional Championship 2019
68 Metro North Win 13-11 1544.08 Sep 8th Metro New York Mixed Club Sectional Championship 2019
208 TBD Win 15-8 1226.52 Sep 8th Metro New York 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)