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MLB: Which GAME will have MORE RUNS SCORED during Innings 1-3?


1:10PM
White Sox @ Twins
Mariners @ Rays or Tie


Inputs To Solve

Runs per Game by Team MLB 2019

##### User Estimates #####

ChW_RperG = 4.22
Min_RperG = 5.87
Sea_RperG = 4.91
TBR_RperG = 4.65

expected_RUNS_chw_min = ChW_RperG + Min_RperG
print("Use %s as total expected RUNS to be scored for the ChW @ Min game." % (round(expected_RUNS_chw_min,3)))

expected_RUNS_sea_tbr = Sea_RperG + TBR_RperG
print("Use %s as total expected RUNS to be scored for the Sea @ TB game." % (round(expected_RUNS_sea_tbr,3)))
Use 10.09 as total expected RUNS to be scored for the ChW @ Min game.
Use 9.56 as total expected RUNS to be scored for the Sea @ TB game.
## Inputs Defined in the Problem
period_of_innings = 3
difference = 0

Method to Solve

## [1]

mu_chw_min = expected_RUNS_chw_min * period_of_innings / 9

print("mu_chw_min = expected number of RUNS per 3 Innings for the first game ~%s" % round(mu_chw_min,3))
mu_chw_min = expected number of RUNS per 3 Innings for the first game ~3.363
## [2]

mu_sea_tb = expected_RUNS_sea_tbr * period_of_innings / 9

print("mu_sea_tb = expected number of RUNS per 3 Innings for the second game ~%s" % round(mu_sea_tb,3))
mu_sea_tb = expected number of RUNS per 3 Innings for the second game ~3.187
## [3]

from scipy.stats import skellam

p_chw_min = 1-skellam.cdf(difference,mu_sea_tb,mu_chw_min)

print("Recall the cdf (cumulative distribution function) is P[X<=x] where x is the 'difference' in this example")
Recall the cdf (cumulative distribution function) is P[X<=x] where x is the 'difference' in this example

Solution

print("The probability the White Sox and Twins score more RUNS than the Mariners and Rays during Innings 1-3 is ~%s" % round(p_chw_min,3))
The probability the White Sox and Twins score more RUNS than the Mariners and Rays during Innings 1-3 is ~0.394



Info

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email: krellabsinc@gmail.com
twitter: @KRELLabs

import sys
print(sys.version)
3.6.5 |Anaconda, Inc.| (default, Mar 29 2018, 13:32:41) [MSC v.1900 64 bit (AMD64)]
Posted on 8/21/2019






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