Football Analytics
Master Data-Driven Football Analysis
Deep dive into American football analytics including EPA, DVOA, and strategic decision-making
199
Tutorials5
Examples15
Datasets22
MetricsLearning Paths
Foundations
5 TopicsCore principles and fundamentals of football analytics covering basic statistics, data collection, and introductory concepts
Part I: Foundations and Data Infrastructure
5 TopicsCore concepts and data infrastructure for football analytics
Offensive Analytics
6 TopicsAdvanced analysis of offensive strategies, play evaluation, quarterback metrics, and scoring efficiency
Part II: Offensive Analytics
7 TopicsComprehensive coverage of offensive metrics and analytics
Defensive Analytics
10 TopicsComprehensive defensive metrics, player coverage evaluation, pass rush analytics, and coverage assignment analysis
Part III: Defensive Analytics
6 TopicsIn-depth analysis of defensive performance and schemes
Part IV: Special Teams and Situational Football
3 TopicsKicking, punting, returns, and situational game analysis
Special Teams
7 TopicsAnalytics for kicking, punting, field position strategy, and special teams play efficiency
Game Theory
6 TopicsMathematical frameworks, decision theory, optimal strategy selection, and competitive advantage analysis
Part V: Game Theory and Strategic Analytics
4 TopicsStrategic decision-making and game theory applications
Part VI: Personnel Decisions and Player Evaluation
5 TopicsDraft, salary cap, and roster construction analytics
Personnel Decisions
5 TopicsAnalytics-driven approach to player evaluation, draft analysis, salary cap management, and team composition
Advanced Technical Methods
5 TopicsMachine learning, computer vision, predictive modeling, and sophisticated statistical techniques
Part VII: Advanced Technical Methods
5 TopicsMachine learning and advanced statistical modeling
College Football
5 TopicsApplication of analytics to college game, recruiting analytics, player development, and NCAA-specific analysis
Part VIII: College Football Analytics
3 TopicsAnalytics applied to college football
Organizational Implementation
5 TopicsPractical frameworks for integrating analytics into team operations, change management, and staffing strategies
Part IX: Organizational Implementation
4 TopicsBuilding and implementing analytics in organizations
Future Directions
5 TopicsEmerging trends in football analytics, technological innovations, and the evolution of the discipline
Part X: Future Directions and Emerging Topics
3 TopicsEmerging technologies and future of football analytics
Explore TopicsPart XI: Advanced Offensive Concepts
6 TopicsPre-snap, route combinations, QB decisions, and specialized strategies
Part XII: Advanced Defensive Concepts
6 TopicsDisguise, schemes, and positional defense analysis
Part XIII: Situational Football Deep Dives
5 TopicsThird down, two-minute, short yardage, weather, and garbage time
Part XIV: Player Performance and Development
6 TopicsRookie progression, aging curves, injuries, and player development
Part XV: Team Building and Front Office
6 TopicsTrades, free agency, and front office strategy
Part XVI: Advanced Statistics and Modeling
6 TopicsCausal inference, time series, networks, and spatial analysis
Part XVII: Opponent Analysis and Game Planning
5 TopicsScouting, game planning, and in-game adjustments
Part XVIII: Broadcasting, Media, and Public Analytics
5 TopicsBroadcasting graphics, fantasy sports, betting, and public analytics
Part XIX: International and Alternative Football
4 TopicsCFL, Arena, Spring Leagues, and International football
Part XX: Youth and High School Football
4 TopicsYouth football analytics and development pathways
Part XXII: Business and Economics of Football
6 TopicsRevenue, sponsorships, media rights, and team valuation
Part XXIII: Legal, Medical, and Safety
5 TopicsContracts, CBA, concussions, and player safety
Part XXIV: Historical and Comparative Analytics
5 TopicsHistorical era analysis and cross-sport comparisons
Part XXV: Emerging Analytics Frontiers
6 TopicsBiometrics, genomics, neuroscience, and future technologies
Part XXVI: Position-Specific Deep Dives
11 TopicsIn-depth analysis of each position group
Part XXVII: Coaching and Scheme Philosophy
5 TopicsCoaching schools and offensive/defensive philosophies
Quick Start Guide
Learn Basics
Start with fundamental statisticsAdvanced Metrics
Explore sport-specific analyticsPractice with Data
Use real datasets and examplesApply Knowledge
Build your own analytics projectsRecent Tutorials
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
Ready to Master Football Analytics?
Start with the basics and work your way up to advanced machine learning applications.