#100 DINO (1-30)

avg: -185.28  •  sd: 97.49  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
51 TOX6ix** Loss 0-15 372.13 Ignored Jun 1st New York Warmup Womens Sanctioned Games 2019
- PPF Loss 0-15 -323.8 Jun 2nd New York Warmup Womens Sanctioned Games 2019
63 Hot Metal** Loss 0-15 113.19 Ignored Jun 2nd New York Warmup Womens Sanctioned Games 2019
79 Versa Loss 4-13 -260.03 Jul 13th Ow My Knee
44 Frolic** Loss 0-13 483.74 Ignored Jul 13th Ow My Knee
86 Rush Hour Loss 7-8 158.22 Jul 13th Ow My Knee
38 Rebel Rebel** Loss 2-13 597.47 Ignored Jul 13th Ow My Knee
94 HOPE Loss 6-8 -168.17 Jul 14th Ow My Knee
44 Frolic** Loss 2-11 483.74 Ignored Jul 14th Ow My Knee
95 Suffrage Loss 7-11 -379.31 Aug 3rd Philly Open 2019
73 Ignite** Loss 3-13 -26.67 Ignored Aug 3rd Philly Open 2019
38 Rebel Rebel** Loss 1-13 597.47 Ignored Aug 3rd Philly Open 2019
96 Roc Paper Scissors Loss 6-12 -640.89 Aug 3rd Philly Open 2019
98 Pickup Lines Loss 9-11 -388.67 Aug 4th Philly Open 2019
98 Pickup Lines Win 13-5 460.53 Aug 4th Philly Open 2019
79 Versa Loss 5-13 -260.03 Aug 24th The Incident 2019 Age of Ultimatron
48 Brooklyn Book Club** Loss 2-12 433.84 Ignored Aug 24th The Incident 2019 Age of Ultimatron
38 Rebel Rebel** Loss 2-13 597.47 Ignored Aug 24th The Incident 2019 Age of Ultimatron
71 PLOW Loss 7-13 62.03 Aug 24th The Incident 2019 Age of Ultimatron
79 Versa Loss 1-13 -260.03 Aug 25th The Incident 2019 Age of Ultimatron
86 Rush Hour Loss 0-9 -316.78 Aug 25th The Incident 2019 Age of Ultimatron
86 Rush Hour Loss 7-11 -183.67 Sep 7th Metro New York Womens Club Sectional Championship 2019
21 BENT** Loss 1-13 985.97 Ignored Sep 7th Metro New York Womens Club Sectional Championship 2019
48 Brooklyn Book Club** Loss 2-13 433.84 Ignored Sep 7th Metro New York Womens Club Sectional Championship 2019
73 Ignite** Loss 5-13 -26.67 Ignored Sep 7th Metro New York Womens Club Sectional Championship 2019
48 Brooklyn Book Club** Loss 3-15 433.84 Ignored Sep 8th Metro New York Womens Club Sectional Championship 2019
73 Ignite** Loss 3-15 -26.67 Ignored Sep 8th Metro New York Womens Club Sectional Championship 2019
79 Versa Loss 9-14 -133.89 Sep 21st Northeast Club Womens Regional Championship 2019
45 Vice** Loss 1-13 473.1 Ignored Sep 21st Northeast Club Womens Regional Championship 2019
5 6ixers** Loss 0-13 1654.95 Ignored Sep 21st Northeast Club Womens Regional Championship 2019
38 Rebel Rebel** Loss 1-13 597.47 Ignored Sep 21st Northeast 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)