Chapter 13: Further Reading
Curated Resources for Goalkeeper Analysis
This collection provides pathways for deeper exploration of goalkeeper analytics, from foundational concepts to cutting-edge research.
Academic Papers
Foundational Research
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"Expected Goals and Expected Assists for Goalkeepers" - Focus: Applying xG framework to goalkeeper evaluation - Key Contribution: Goals prevented methodology
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"Post-Shot Expected Goals: A New Way to Evaluate Goalkeeping" - Authors: StatsBomb Research - Focus: PSxG model development - Key Contribution: Incorporating shot placement into save difficulty
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"Quantifying Goalkeeper Decision Making in Football" - Focus: Positioning and decision analysis - Key Contribution: Framework for evaluating goalkeeper choices
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"The Evolution of the Goalkeeper Role: A Statistical Analysis" - Focus: Historical changes in goalkeeper metrics - Key Contribution: Documentation of sweeper-keeper emergence
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"Sample Size and Reliability in Goalkeeper Statistics" - Focus: Statistical power in goalkeeper evaluation - Key Contribution: Stabilization point research
Advanced Topics
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"Tracking Data Applications for Goalkeeper Analysis" - Focus: Using positional data for goalkeeper evaluation - Key Contribution: Positioning metrics beyond event data
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"Bayesian Methods for Sports Analytics" - Focus: Prior-informed estimation - Key Contribution: Practical Bayesian implementations
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"Distribution Networks: Goalkeepers as Playmakers" - Focus: Passing network analysis including goalkeepers - Key Contribution: Quantifying goalkeeper distribution value
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"Cross Claiming and Aerial Dominance Models" - Focus: Claiming probability models - Key Contribution: Expected claim success framework
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"Machine Learning Approaches to Shot-Stopping Prediction"
- Focus: ML models for save probability
- Key Contribution: Feature engineering for goalkeeper models
Books
Essential Reading
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"The Numbers Game: Why Everything You Know About Football is Wrong"
- Authors: Chris Anderson & David Sally
- Chapter Focus: Goalkeeper evaluation challenges
- Relevance: Statistical perspective on rare events
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"Soccermatics: Mathematical Adventures in the Beautiful Game"
- Author: David Sumpter
- Relevance: Mathematical approaches to sports including goalkeeper analysis
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"Football Hackers: The Science and Art of a Data Revolution"
- Author: Christoph Biermann
- Chapter Focus: Goalkeeper analytics evolution
- Relevance: Industry perspectives on goalkeeper evaluation
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"The Mixer: The Story of Premier League Tactics"
- Author: Michael Cox
- Relevance: Tactical evolution affecting goalkeeper role
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"Inverting the Pyramid"
- Author: Jonathan Wilson
- Relevance: Historical context for goalkeeper positioning
Technical References
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"Bayesian Data Analysis"
- Authors: Gelman et al.
- Relevance: Statistical methods for small samples
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"Statistical Rethinking"
- Author: Richard McElreath
- Relevance: Practical Bayesian inference
Industry Publications
Technical Blogs and Articles
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StatsBomb Articles on Goalkeeper Metrics
- URL: statsbomb.com/articles
- Key Articles: "PSxG Explained", "Evaluating Goalkeepers", "Distribution Analysis"
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Between the Posts - Goalkeeper Analysis Series
- URL: betweentheposts.net
- Focus: Data-driven goalkeeper evaluation
- Key Content: In-depth goalkeeper profiles
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The Athletic - Goalkeeper Analytics
- Notable Authors: Tom Worville, Mark Thompson
- Focus: Applied goalkeeper analysis
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Tifo Football IQ
- Focus: Visual explanations of goalkeeper concepts
- Format: Video content
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American Soccer Analysis
- URL: americansocceranalysis.com
- Focus: MLS goalkeeper evaluation
- Key Content: Goals added methodology
Data Provider Resources
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StatsBomb IQ - Goalkeeper Module
- Type: Commercial platform
- Features: PSxG, distribution analysis, comprehensive profiles
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FBref Goalkeeper Statistics
- Type: Free resource
- Features: Aggregated goalkeeper statistics
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Understat Goalkeeper Data
- Type: Free resource
- Features: xG faced and basic distribution
Online Courses and Tutorials
Programming and Analysis
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Friends of Tracking - Goalkeeper Analytics Tutorial
- Platform: YouTube
- Focus: Python implementation of goalkeeper metrics
- Level: Intermediate
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StatsBomb Open Data Tutorials - Goalkeeper Analysis
- Platform: GitHub/YouTube
- Focus: Working with goalkeeper event data
- Level: Beginner to Intermediate
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Bayesian Statistics for Sports
- Platform: Various
- Focus: Applying Bayesian methods to sports data
- Level: Intermediate to Advanced
Video Analysis
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The Coaches' Voice - Goalkeeper Masterclass
- Focus: Technical analysis with data context
- Format: Video with expert commentary
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Goalkeeper-Specific Analysis Channels
- Channels: Various YouTube
- Focus: Technical breakdown with statistical context
Conference Proceedings
Major Conferences
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MIT Sloan Sports Analytics Conference
- Soccer sessions on goalkeeper analytics
- Key Papers: Annual research presentations
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OptaPro Analytics Forum
- Focus: Industry-leading soccer analytics
- Key Content: Goalkeeper evaluation innovations
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StatsBomb Conference
- Focus: Cutting-edge soccer analytics
- Key Content: PSxG and goalkeeper research
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MathSport International
- Focus: Mathematical sports modeling
- Relevance: Statistical methods for rare events
Podcasts
Analytics-Focused
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Double Pivot Podcast
- Focus: Soccer analytics discussions
- Goalkeeper Episodes: Evaluation frameworks, recruitment
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Tifo Podcast
- Focus: Tactical analysis with analytics
- Format: Accessible explanations
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Expected Value Podcast
- Focus: Deep analytical discussions
- Relevance: Goalkeeper-specific episodes
Goalkeeper-Specific
- Goalkeeper Podcast Networks
- Focus: Goalkeeper-specific content
- Relevance: Technical context for analytics
Software and Tools
Analysis Platforms
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StatsBomb IQ
- Type: Commercial platform
- Goalkeeper Features: PSxG, distribution, comprehensive profiles
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Wyscout
- Type: Commercial platform
- Goalkeeper Features: Video with statistics
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InStat
- Type: Commercial platform
- Goalkeeper Features: Event tracking
Open Source Tools
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mplsoccer (Python)
- GitHub: andrewRowlinson/mplsoccer
- Use: Pitch visualization, shot maps
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statsbombpy (Python)
- GitHub: statsbomb/statsbombpy
- Use: Accessing StatsBomb open data
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worldfootballR (R)
- GitHub: JaseZiv/worldfootballR
- Use: Accessing multiple data sources
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goalkeeper-analytics (Python)
- Various GitHub repositories
- Use: Specialized goalkeeper analysis functions
Data Sources
Open Data
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StatsBomb Open Data
- Access: GitHub
- Coverage: Multiple competitions
- Goalkeeper Data: Full event data including shots faced
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FBref
- Access: fbref.com
- Coverage: Major leagues
- Goalkeeper Data: Aggregated statistics
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Understat
- Access: understat.com
- Coverage: Top 5 leagues
- Goalkeeper Data: xG faced, basic metrics
Tracking Data
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Metrica Sports Sample Data
- Access: GitHub
- Type: Full tracking data
- Use: Positioning analysis
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SkillCorner Open Data
- Access: Research partnerships
- Type: Broadcast tracking
- Use: Movement and positioning
Historical and Contextual Reading
Tactical Evolution
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"The Goalkeeper: A Biography"
- Focus: Historical evolution of the position
- Relevance: Context for modern analysis
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"Sweeper-Keeper: The Revolution"
- Focus: Neuer and the modern goalkeeper
- Relevance: Understanding style evolution
Coaching Philosophy
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"Goalkeeper Training: Modern Methods"
- Focus: Training approaches with data integration
- Relevance: Connecting analysis to development
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"The Complete Goalkeeper"
- Focus: Technical and tactical development
- Relevance: Framework for evaluation criteria
Recommended Reading Path
Beginner Path
- Start with StatsBomb blog articles on goalkeeper basics
- Read "The Numbers Game" for statistical context
- Complete basic tutorials with open data
- Practice calculating simple metrics
Intermediate Path
- Study PSxG methodology papers
- Explore Bayesian methods for small samples
- Implement comprehensive goalkeeper profiles
- Analyze real goalkeepers with learned frameworks
Advanced Path
- Engage with tracking data research
- Study machine learning approaches
- Attend/watch conference presentations
- Develop novel metrics or models
Key Researchers to Follow
Academic
- Various sports statistics researchers
- University-based football analytics groups
Industry
- Ted Knutson (StatsBomb)
- Will Spearman (formerly Liverpool FC)
- Sarah Rudd (Arsenal FC)
Independent
- Various Twitter/analytics community members
Emerging Research Areas
- Tracking-based positioning analysis for optimal save positions
- Communication and organization metrics from video/audio
- Real-time decision support for goalkeeper substitutions
- Deep learning for save probability prediction
- Injury risk modeling specific to goalkeepers
These areas represent the frontier of goalkeeper analytics research and offer opportunities for original contribution.
Special Topics
Youth Goalkeeper Development
- Statistical approaches to identifying talent
- Development pathway analysis
- Age-appropriate evaluation metrics
Goalkeeper Injury Analytics
- Workload monitoring
- Movement pattern analysis
- Return-to-play protocols
International Goalkeeper Comparison
- Adjusting for league context
- Cross-cultural playing style differences
- Transfer market valuation