Football Analytics

Master Data-Driven Football Analysis

Deep dive into American football analytics including EPA, DVOA, and strategic decision-making

Resources

199

Tutorials

5

Examples

15

Datasets

22

Metrics

Learning Paths

Foundations
5 Topics

Core principles and fundamentals of football analytics covering basic statistics, data collection, and introductory concepts

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Part I: Foundations and Data Infrastructure
5 Topics

Core concepts and data infrastructure for football analytics

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Offensive Analytics
6 Topics

Advanced analysis of offensive strategies, play evaluation, quarterback metrics, and scoring efficiency

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Part II: Offensive Analytics
7 Topics

Comprehensive coverage of offensive metrics and analytics

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Defensive Analytics
10 Topics

Comprehensive defensive metrics, player coverage evaluation, pass rush analytics, and coverage assignment analysis

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Part III: Defensive Analytics
6 Topics

In-depth analysis of defensive performance and schemes

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Part IV: Special Teams and Situational Football
3 Topics

Kicking, punting, returns, and situational game analysis

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Special Teams
7 Topics

Analytics for kicking, punting, field position strategy, and special teams play efficiency

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Game Theory
6 Topics

Mathematical frameworks, decision theory, optimal strategy selection, and competitive advantage analysis

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Part V: Game Theory and Strategic Analytics
4 Topics

Strategic decision-making and game theory applications

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Part VI: Personnel Decisions and Player Evaluation
5 Topics

Draft, salary cap, and roster construction analytics

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Personnel Decisions
5 Topics

Analytics-driven approach to player evaluation, draft analysis, salary cap management, and team composition

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Advanced Technical Methods
5 Topics

Machine learning, computer vision, predictive modeling, and sophisticated statistical techniques

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Part VII: Advanced Technical Methods
5 Topics

Machine learning and advanced statistical modeling

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College Football
5 Topics

Application of analytics to college game, recruiting analytics, player development, and NCAA-specific analysis

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Part VIII: College Football Analytics
3 Topics

Analytics applied to college football

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Organizational Implementation
5 Topics

Practical frameworks for integrating analytics into team operations, change management, and staffing strategies

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Part IX: Organizational Implementation
4 Topics

Building and implementing analytics in organizations

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Future Directions
5 Topics

Emerging trends in football analytics, technological innovations, and the evolution of the discipline

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Part X: Future Directions and Emerging Topics
3 Topics

Emerging technologies and future of football analytics

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Part XI: Advanced Offensive Concepts
6 Topics

Pre-snap, route combinations, QB decisions, and specialized strategies

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Part XII: Advanced Defensive Concepts
6 Topics

Disguise, schemes, and positional defense analysis

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Part XIII: Situational Football Deep Dives
5 Topics

Third down, two-minute, short yardage, weather, and garbage time

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Part XIV: Player Performance and Development
6 Topics

Rookie progression, aging curves, injuries, and player development

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Part XV: Team Building and Front Office
6 Topics

Trades, free agency, and front office strategy

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Passing Analytics
3 Topics

Passing game analysis

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Part XVI: Advanced Statistics and Modeling
6 Topics

Causal inference, time series, networks, and spatial analysis

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Rushing Analytics
1 Topics

Run game analysis

Topics include:
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Part XVII: Opponent Analysis and Game Planning
5 Topics

Scouting, game planning, and in-game adjustments

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Part XVIII: Broadcasting, Media, and Public Analytics
5 Topics

Broadcasting graphics, fantasy sports, betting, and public analytics

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Part XIX: International and Alternative Football
4 Topics

CFL, Arena, Spring Leagues, and International football

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Part XX: Youth and High School Football
4 Topics

Youth football analytics and development pathways

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Part XXII: Business and Economics of Football
6 Topics

Revenue, sponsorships, media rights, and team valuation

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Part XXIII: Legal, Medical, and Safety
5 Topics

Contracts, CBA, concussions, and player safety

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Part XXIV: Historical and Comparative Analytics
5 Topics

Historical era analysis and cross-sport comparisons

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Part XXV: Emerging Analytics Frontiers
6 Topics

Biometrics, genomics, neuroscience, and future technologies

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Part XXVI: Position-Specific Deep Dives
11 Topics

In-depth analysis of each position group

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Part XXVII: Coaching and Scheme Philosophy
5 Topics

Coaching schools and offensive/defensive philosophies

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Quick Start Guide

1
Learn Basics
Start with fundamental statistics
2
Advanced Metrics
Explore sport-specific analytics
3
Practice with Data
Use real datasets and examples
4
Apply Knowledge
Build your own analytics projects

Key Football Metrics

Defense-adjusted Yards Above Replacement DYAR

Cumulative version of DVOA. Measures total value above replacement level. Variables: DVOA = Rate efficiency, Replacement Level = baseline (-15%), Plays = Volume

\text{DYAR} = (\text{DVOA} + \text{Replacement Level}) \times \text{Plays}
DVOA DVOA

Football Outsiders' efficiency metric. Compares team to league average, adjusted for opponent and situation. Variables: Success Value = yards and first downs compared to baseline, Opponent Adj = strength of opponent faced

\text{DVOA} = \frac{\sum(\text{Success Value} - \text{Average}) \times \text{Opponent Adj}}{\text{Plays}}
Success Rate SR

Percentage of plays that are "successful" - gaining enough yards to stay on schedule. Variables: Success: 1st down = 40% of yards needed, 2nd = 60%, 3rd/4th = 100%

\text{SR} = \frac{\text{Successful Plays}}{\text{Total Plays}}
Yards Per Play YPP

Simple but effective measure of offensive efficiency. Variables: Total Yards = Passing + Rushing yards, Total Plays = All offensive plays

\text{YPP} = \frac{\text{Total Yards}}{\text{Total Plays}}
EPA Per Play EPA/Play

Average EPA per play. Best single measure of offensive or defensive efficiency. Variables: EPA = Total Expected Points Added, Total Plays = Number of offensive snaps

\text{EPA/Play} = \frac{\sum \text{EPA}}{\text{Total Plays}}
Expected Points EP

Expected points to be scored from current game state. Foundation for EPA. Variables: Based on historical outcomes from similar situations. Accounts for down, distance, yard line, score differential, time.

\text{EP} = E[\text{Points}|\text{Down}, \text{Distance}, \text{Field Position}, \text{Time}]
Expected Points Added EPA

Change in expected points from a single play. The gold standard for measuring play value in football. Variables: EP_before = Expected Points before play, EP_after = Expected Points after play

\text{EPA} = \text{EP}_{\text{after}} - \text{EP}_{\text{before}}
Adjusted Net Yards Per Attempt ANY/A

Yards per attempt adjusted for touchdowns, interceptions, and sacks. Excellent predictor of team success. Variables: Yds = Passing Yards, TD = Touchdowns, INT = Interceptions, Sack Yds = Yards Lost to Sacks, Att = Pass Attempts

\text{ANY/A} = \frac{\text{Yds} + 20(\text{TD}) - 45(\text{INT}) - \text{Sack Yds}}{\text{Att} + \text{Sacks}}
Air Yards AY

Yards the ball travels through the air before being caught. Measures aggressiveness and depth of target. Variables: LOS = Line of Scrimmage. Negative for behind LOS throws. Count all attempts including incompletions.

\text{AY} = \sum(\text{Yards from LOS to catch point})
Average Depth of Target aDOT

Average distance of targets downfield. Higher indicates more aggressive passing attack. Variables: Air Yards = Total intended air yards, Targets = Total pass attempts

\text{aDOT} = \frac{\sum \text{Air Yards}}{\text{Targets}}

Datasets & Resources

Dataset Description Format Size Action
NFL Play-by-Play Data Detailed play-by-play data for NFL games CSV N/A
NextGen Stats Sample Player tracking and advanced metrics from NFL NextGen Stats JSON N/A
nflfastR Play-by-Play Detailed NFL play-by-play data with EPA and WPA calculations CSV 200MB
NFL Play-by-Play Data (nflfastR) Comprehensive NFL play-by-play data from 1999-present including EPA, WPA, CPOE, and advanced metrics. Available via nflfastR package. CSV 1.5 GB
NFL Combine Results NFL Scouting Combine athletic measurements and drill results for all participants since 2000. CSV 5 MB

Ready to Master Football Analytics?

Start with the basics and work your way up to advanced machine learning applications.

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