Advanced Basketball Analytics: Per, True Shooting, and Win Shares

~60 min · 15 stations

Advanced Basketball Analytics: Per, True Shooting, and Win Shares is a self-paced learning path in Mathematics & Logic, free to read, written at General Public / 9th Grade reading level. Across 15 structured stations, you will work through the core ideas step by step, each with a short quiz to check your understanding. By the end you will be able to identify historical shifts regarding sports data; evaluate flaws within traditional basketball statistics; calculate basic Player Efficiency Rating components.

Conductor

The Conductor

This route maps the hidden mechanics of basketball performance — from box scores to win shares. Board it if you want to understand how math drives the modern game.

What you will learn

Complete each station to unlock the next.

FOUNDATION

Establishes the core vocabulary and essential context you need before going further.

Identify historical shifts regarding sports data

Station 01: The Evolution of Basketball Metrics

Evaluate flaws within traditional basketball statistics

Station 02: Understanding the Box Score Limits

Calculate basic Player Efficiency Rating components

Station 03: Defining Player Efficiency Rating

CORE CONCEPTS

Unpacks the ideas and principles that the subject is built on.

Analyze shooting efficiency beyond field goal percentages

Station 04: True Shooting Percentage Explained

Interpret the win shares metric for player evaluation

Station 05: Introduction to Win Shares

Calculate usage rate for high volume players

Station 06: Usage Rate and Offensive Load

Assess defensive contributions using advanced data

Station 07: Defensive Impact Metrics

MECHANICS

Examines how things actually work — the processes, rules, and systems in action.

Synthesize multiple metrics for player comparison

Station 08: Integrating PER and Win Shares

Adjust true shooting for league average comparisons

Station 09: Contextualizing Shooting Efficiency

Apply defensive rating formulas to game logs

Station 10: Advanced Defensive Modeling

APPLICATION

Puts knowledge to use through real-world scenarios and practical problems.

Correlate player metrics with overall team wins

Station 11: Evaluating Team Success

Detect value discrepancies using advanced analytics

Station 12: Identifying Underrated Talent

Forecast future performance using historical data

Station 13: Predictive Modeling Basics

SYNTHESIS

Connects everything together and explores broader implications and open questions.

Compile a holistic evaluation of athlete performance

Station 14: Building a Comprehensive Player Profil

Explore emerging trends in sports data science

Station 15: The Future of Basketball Analytics

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General Public / 9th GradeAI Generated · gemini-3.1-flash-lite
Advanced Basketball Analytics: Per, True Shooting, and Win Shares