Sports Analytics Fundamentals: The Mathematics Behind Moneyball
Master the foundational math and statistical models used by professional sports teams to evaluate players, predict outcomes, and build winning game strategies.
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이 과정 소개
Professional sports are no longer just about intuition; they are driven by data, numbers, and strategic mathematics. If you have ever wondered how front offices build championship rosters or how coaches make split-second tactical decisions, the secret lies in sports analytics.
This written course introduces you to the core mathematical and statistical concepts that power modern sports decision-making. You will transition from a casual fan to an analytical thinker, understanding how probability, regression, and performance metrics shape the games of baseball, basketball, and football.
What you'll learn:
- Understand foundational probability and statistical concepts used to predict game outcomes
- Analyze player performance using modern metrics like Wins Above Replacement (WAR) and expected value
- Evaluate in-game strategies, such as fourth-down decisions in football, using mathematical modeling
- Apply linear regression concepts to forecast team win totals and player trajectories
- Explore modern tracking data and how advanced metrics are changing sports drafting and scouting
You will start with essential mathematical definitions and basic statistical tools before progressing to real-world scenarios across major sports. Through clear written explanations and practical analytical exercises, you will learn to calculate key metrics and interpret sports data.
This course is designed for sports enthusiasts, aspiring analysts, and curious minds who want to understand the math behind the games. No advanced mathematics or programming background is required to begin.
Start reading today to unlock the mathematical secrets of your favorite sports.
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Sports Analytics Fundamentals: The Mathematics Behind Moneyball