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Mathematical statistics of runs - Baseball. USA. MLB

Graphs of sample (in blue) and basic random variables (probability density)


Quantity of matches (sample size) : 22360, period of time : 09-30-2011 - 06-16-2021


Match total - runs

Average per match E = 8.84, variance V = 20.01, SD = 4.47, E/V = 0.44, Min = 1, Max = 38
Basic random variable ~ Negative Binomial (Pascal) distribution: NB(r, p), r=6.99, p=0.44

USA. MLB: Pascal and Total PDF
USA. MLB: Pascal and Total CDF

Home team runs

Average per match E = 4.48, variance V = 9.49, SD = 3.08, E/V = 0.47, Min = 0, Max = 29
Basic random variable ~ Negative Binomial (Pascal) distribution: NB(r, p), r=4.01, p=0.47

USA. MLB: Pascal and Total 1 PDF

Away team runs

Average per match E = 4.35, variance V = 9.99, SD = 3.16, E/V = 0.44, Min = 0, Max = 24
Basic random variable ~ Negative Binomial (Pascal) distribution: NB(r, p), r=3.36, p=0.44

USA. MLB: Pascal and Total 2 PDF

Runs difference

Average per match E = 0.13, variance V = 18.96, SD = 4.35, E/V = 0.01, Min = -21, Max = 21
Basic random variable ~ Normal (Gauss) distribution: N(E, V)

USA. MLB: Gaus (Normal) and Difference PDF
Page time:

Thursday
06-24-2021
22:03:46 UTC