Scott Powers
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On this page

  • Unit 1: Measuring Batting Performance
    • Pythagorean Formula
    • Base-Out Run Expectancy and Linear Weight
    • Batted Ball Outcome Model
  • Unit 2: Measuring Pitching Performance
    • BABIP, FIP and DIPS
    • Introduction to Pitch-Level Analysis
    • Pitch Outcome Modeling
    • “Stuff”
  • Unit 3: Valuing Player Performance
    • Fielding and Baserunning
    • Projections
  • Unit 4: Practicum

SMGT 435/535: Baseball Analytics

Syllabus

Unit 1: Measuring Batting Performance

Pythagorean Formula

Lecture Notes

Colab Notebook

Base-Out Run Expectancy and Linear Weight

Lecture Notes

Colab Notebook

Batted Ball Outcome Model

Lecture Notes

Colab Notebook

Assignment #1: Signal v. Noise in Batter Outcomes

Unit 2: Measuring Pitching Performance

BABIP, FIP and DIPS

Colab Notebook

Assignment #2: Signal v. Noise in Pitcher Outcomes

Introduction to Pitch-Level Analysis

Lecture Notes

Colab Notebook

Pitch Outcome Modeling

Lecture Notes

Colab Notebook

Assignment #3: Pitch Outcome Model

“Stuff”

Lecture Notes

Colab Notebook

Unit 3: Valuing Player Performance

Fielding and Baserunning

Lecture Notes

Colab Notebook

Projections

Lecture Notes

Colab Notebook

Assignment #4: Projections

Unit 4: Practicum

Project Overview