Fantasy Forecaster Almanac

The complete guide to data-driven fantasy football — 10 sections, 33 chapters, covering everything from foundational concepts to advanced machine learning models.

Reading Progress0/33 chapters (0%)

Table of Contents

Chapter 1beginner12 min

Introduction to Fantasy Football Analytics

Understanding the role of data science in modern fantasy football. Learn how statistical models, machine learning, and predictive analytics are transforming player evaluation and draft strategy.

Analytics OverviewData SourcesStatistical Foundations

Chapter 2beginner10 min

Understanding Scoring Systems

Deep dive into PPR, Half-PPR, Standard, and custom scoring formats. Learn how scoring rules impact player valuations and draft strategy across different league types.

PPR ScoringStandard ScoringCustom LeaguesScoring Impact

Chapter 3intermediate15 min

Data Collection & Sources

Comprehensive guide to NFL data sources, APIs, and collection methodologies. Learn to build reliable data pipelines for fantasy football analysis.

NFL APIsData PipelinesWeb ScrapingData Quality

Fantasy Forecaster Almanac

Section I: Foundations

Introduction to Fantasy Football Analytics

Understanding Scoring Systems

Data Collection & Sources

Section II: Advanced Analytics

Section III: Draft Strategy

Section IV: In-Season Management

Section V: Special Situations

Section VI: Player Profiles

Section VII: Team Analysis

Section VIII: Seasonal Trends

Section IX: Tools & Resources

Section X: Appendices