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Analytics in Sports Fall 2018
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#Post#: 32--------------------------------------------------
Week of 9/4 (Week 2)
By: mac Date: August 31, 2018, 12:28 pm
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post here for this week's topics.
#Post#: 39--------------------------------------------------
Re: Week of 9/4 (Week 2)
By: Kaitlyn Morenzone Date: September 4, 2018, 11:50 am
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The Monte Carlo simulation plays out uncertain situations.
Analysts use this method to play out innings. This chapter goes
into detail on how the simulation works in Excel. The Monte
Carlo simulation works on every player no matter how bad or good
the player is.
#Post#: 40--------------------------------------------------
Re: Week of 9/4 (Week 2)
By: CruzJ Date: September 5, 2018, 12:23 pm
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In Chapter 4, it explains how Runs Created and Linear weights
can be very inaccurate and introduces the Monte Carlo
simulation. The Monte Carlo simulation is a computer model that
repeatedly plays out an uncertain situation.
#Post#: 41--------------------------------------------------
Re: Week of 9/4 (Week 2)
By: 600009593 Date: September 5, 2018, 12:29 pm
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In chapter 4, it talks about the monte Carlo simulation which is
a computer model to repeatedly play out an uncertain situation.
The Term "Monte Carlo simulation" was coined by the Polish-born
physicist Stanislaw Ulam. Physicist and astronomers use the
simulation to simulate the evolution of the universe. Using this
method in baseball we can play out many innings and averaging
the number of runs scored per inning.
#Post#: 42--------------------------------------------------
Re: Week of 9/4 (Week 2)
By: Isaias2830 Date: September 5, 2018, 8:30 pm
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Chapter four is about the Monte Carlo Simulation. A Monte Carlo
Simulation is a computer model that repeatedly plays out an
uncertain situation. In this chapter the Monte Carlo Simulation
was used to simulate how many runs a team of nine Ichiro's would
score. The simulation for 2004 Ichiro determined that a team of
nine Ichiro's would 6.92 runs a game. This number punitive
compared to the same simulation for Barry Bonds which determined
a team of nine bonds would a ginormous 21.02 runs a game.
#Post#: 43--------------------------------------------------
Re: Week of 9/4 (Week 2)
By: Tyler Date: September 6, 2018, 10:52 pm
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Chapter four introduces the Monte Carlo situation which is
developing a computer model to repeatedly play out an uncertain
situation. The origin dates back to the 1930's when a physicist
used the simulation to determine the chance for the chain
reaction needed for an atom bomb to detonate. This simulation
can be implemented into many fields besides sports and science.
#Post#: 44--------------------------------------------------
Re: Week of 9/4 (Week 2)
By: Tyler Date: September 6, 2018, 11:04 pm
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Chapter four also uses the Monte Carlo simulation to determine
Icharo's 2004 season, Normar's 1997 season, and Bonds' 2004
season estimated runs per game. Bonds came on top with a
projected 21.02 following Icharo with 6.92 and lastly Normar
with 5.91, but it doesn't account for all of Bonds' walks during
that season with a total of 232. Pitchers would rather pitch to
other players who weren't as skilled. When this is applied
Bonds' projected is now 15.98.
#Post#: 45--------------------------------------------------
Re: Week of 9/4 (Week 2)
By: olga918 Date: September 7, 2018, 12:42 pm
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Chapter four talks about the Monto Carlo simulation that plays
out an uncertain situation repeatedly. This simulation is used
to simulate the evolution of life by physicists and astronomers.
Monto Carlo is also used in baseball to play out the innings.
You can get this simulation on excel.
#Post#: 46--------------------------------------------------
Re: Week of 9/4 (Week 2)
By: DylanGross Date: September 7, 2018, 12:44 pm
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Chapter 4 discussed the Monte Carlo simulation, which is when a
computer model repeatedly plays out an uncertain situation. The
name comes from a Polish physicist. The simulation uses examples
from chapters 2 and 3 to compare the concepts and to compare
players.
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