NUMB3RS - Season 3 - "Hardball" - Is It for Real

3 - "Hardball"

Topic: Data Analysis & Sabermetrics

Difficulty: Algebra 2 / Pre-Calculus / Statistics

In the NUMB3RS episode "Hardball," an amateur mathematician uncovers an equation that uses baseball statistics to identify when an athlete began using performance-enhancing substances. This moment of sudden, dramatic divergence in player data is called a 'change point'. While the math in the episode is dramatized, we can use a very real sabermetric statistic—the Cumulative Home Run Ratio (CHRCHR)—to track historical players, visualize long-term trends, and identify when significant shifts occur.

Step 1: Understanding the Cumulative Home Run Ratio (CHR)

To analyze a batter's home run productivity over time, we calculate their Cumulative Home Run Ratio (CHR). Unlike a simple single-season ratio, the CHRCHR at any given age is computed by dividing the total cumulative home runs (HRHR) hit up to that age by the total cumulative at-bats (ABAB) up to that age.

CHRage=∑HR∑AB\text{CHR}_{\text{age}} = \frac{\sum \text{HR}}{\sum \text{AB}}

Let's look at Babe Ruth's early career stats:

  • Age 19: 1010 At-Bats (ABAB), 00 Home Runs (HRHR)
  • Age 20: 9292 At-Bats (ABAB), 44 Home Runs (HRHR)

At age 19, Babe Ruth's cumulative stats are simply his age 19 stats. Thus, his CHRCHR up to age 19 is:

CHR19=010=0.00000\text{CHR}_{19} = \frac{0}{10} = 0.00000

Cumulative Home Run Ratio (CHR) Trends

Visualize career CHR for legendary players, showing plateaus, asymptotes, and change points.

1925313743Age0.0000.0260.0510.0770.103CHRB. RuthH. AaronM. McGwire
Babe Ruth
Hank Aaron
Mark McGwire