Chapter 10 Further Reading: Plus-Minus and On/Off Analysis

Annotated Bibliography

This annotated bibliography provides resources for deeper exploration of plus-minus analysis, on/off statistics, and the foundation for adjusted methods.


Foundational Texts

Basketball on Paper: Rules and Tools for Performance Analysis

Author: Dean Oliver Publisher: Potomac Books, 2004 ISBN: 978-1574886887

Oliver's foundational work introduces the concept of rating offense and defense on a per-possession basis, laying groundwork for modern plus-minus analysis.

Key Chapters: - Chapter 1: Points per possession framework - Chapter 4: Team rating systems - Chapter 7: Pace and efficiency integration

Why Read This: Establishes theoretical foundation for possession-based analysis that underpins all plus-minus metrics.


The Midrange Theory: Basketball's Evolution in the Age of Analytics

Author: Seth Partnow Publisher: Triumph Books, 2021 ISBN: 978-1629379210

Partnow provides practitioner perspective on how NBA teams use plus-minus data, including its limitations and proper application.

Key Chapters: - Chapter 5: Measuring Player Impact - Chapter 8: What Statistics Miss - Chapter 10: Building Winning Teams

Why Read This: Insider view of how teams interpret and apply on/off analysis.


Academic Research

"A Starting Point for Analyzing Basketball Statistics"

Authors: Justin Kubatko, Dean Oliver, Kevin Pelton, Dan T. Rosenbaum Journal: Journal of Quantitative Analysis in Sports, Vol. 3, Issue 3, 2007

Foundational paper establishing standardized definitions for basketball metrics including possession estimation used in Net Rating calculations.

Topics Covered: - Possession calculation methodology - Rating systems standardization - Appropriate metric application

Why Read This: Authoritative source for technical definitions.


"Measuring How NBA Players Help Their Teams Win"

Author: Dan T. Rosenbaum Publication: 82games.com, 2004

Early influential work on adjusted plus-minus methodology. Introduces concepts that led to modern RAPM development.

Key Contributions: - Statistical adjustment approach - Multicollinearity discussion - Player contribution estimation

Why Read This: Historical context for adjusted plus-minus development.


"Improved NBA Adjusted +/- Using Regularization and Out-of-Sample Testing"

Author: Joseph Sill Publication: MIT Sloan Sports Analytics Conference, 2010

Landmark paper introducing ridge regression for adjusted plus-minus, establishing RAPM methodology.

Technical Contributions: - Regularization approach - Cross-validation methodology - Stability improvements

Why Read This: Original RAPM development paper, foundation for modern methods.


"An Extended Regularized Adjusted Plus-Minus Analysis for Lineup Management"

Authors: Luca Grassetti, Ruggero Bellio, Luca Di Gaspero, Giovanni Fonseca, Paolo Vidoni Journal: Journal of Quantitative Analysis in Sports, 2021

Recent academic work extending RAPM methods for lineup analysis.

Advanced Topics: - Lineup-specific adjustments - Bayesian approaches - Modern computational methods

Why Read This: Cutting-edge academic treatment of plus-minus methodology.


Online Resources

Basketball-Reference.com

URL: https://www.basketball-reference.com Type: Statistical Database

Comprehensive source for on/off statistics. Provides Net Rating splits for all NBA players with sufficient minutes.

Key Features: - On/Off splits page for each player - Lineup data (when available) - Historical plus-minus data

Why Use This: Primary public data source for on/off analysis.


Cleaning the Glass

URL: https://cleaningtheglass.com Type: Advanced Statistics Site (Subscription)

Ben Falk's site provides industry-leading on/off analysis with garbage time excluded and extensive filtering.

Unique Features: - Garbage-time-excluded calculations - Percentile rankings - Lineup analysis tools - Multi-year on/off data

Why Use This: Highest-quality on/off data available publicly.


NBA.com/Stats

URL: https://www.nba.com/stats Type: Official League Statistics

Official source for lineup data and on/off statistics with tracking context.

Key Features: - Official lineup statistics - On/off ratings - Minutes filters - Context breakdowns

Why Use This: Official data source, comprehensive lineup tracking.


PBP Stats

URL: https://www.pbpstats.com Type: Play-by-Play Statistics

Darryl Blackport's site provides detailed plus-minus analysis derived from play-by-play data with extensive filtering capabilities.

Unique Features: - Possession-level analysis - Custom filters (score margin, quarter, etc.) - Lineup combinations - Historical play-by-play data

Why Use This: Most granular publicly available plus-minus data.


Specialized Topics

Lineup Analysis

"The Value of Lineup Data" Various Analytics Writers

Research on optimizing five-man combinations: - Sample size requirements - Synergy identification - Lineup optimization methods


Clutch Plus-Minus

"Measuring Clutch Performance" FiveThirtyEight and Others

Analysis of plus-minus in pressure situations: - Definition issues - Sample size challenges - Year-to-year stability


Playoff vs. Regular Season

"Why Regular Season Doesn't Predict Playoffs" Various Sources

Research on translation of regular season metrics: - Sample size comparisons - Adjustment effects - Strategy changes


Historical Context

Early Plus-Minus Tracking

Dallas Mavericks Historical Project

The Mavericks were pioneers in plus-minus tracking in the late 1990s: - Pre-digital methodology - Early applications - Transition to digital era


APBRmetrics Community

APBRmetrics Forum Archives URL: https://apbrmetrics.com (historical)

Community-developed plus-minus approaches: - Early adjusted methods - Community debates - Methodology evolution

Why Explore: Historical context for metric development.


Modern Metric Development

ESPN's Real Plus-Minus (RPM)

Authors: Jeremias Engelmann, Steve Ilardi

ESPN's implementation of adjusted plus-minus with box score priors: - Methodology overview - Annual updates - Player rankings


FiveThirtyEight's RAPTOR

URL: https://fivethirtyeight.com/features/introducing-raptor-our-new-metric-for-the-modern-nba/

FiveThirtyEight's comprehensive player metric combining plus-minus with box score data: - Methodology documentation - Historical projections - Regular updates


Dunks & Threes EPM

URL: https://dunksandthrees.com/epm

Taylor's EPM combining tracking data with plus-minus: - Modern methodology - Tracking integration - Detailed player ratings


Video Resources

Thinking Basketball (YouTube)

Creator: Ben Taylor URL: https://www.youtube.com/c/ThinkingBasketball

Video analysis integrating plus-minus concepts with film study: - On/off interpretation - Lineup analysis examples - Historical comparisons

Why Watch: Best integration of statistics and visual evidence.


The Lowe Post Podcast

Host: Zach Lowe Platform: ESPN/Spotify

Regular discussions of plus-minus and lineup analysis: - Practitioner perspectives - Team-specific analysis - Methodology discussions

Why Listen: Industry expert perspectives.


Technical Resources

Statistical Methods

"Ridge Regression for Basketball" Various Academic Sources

Technical explanations of regularization: - L2 penalty mathematics - Cross-validation - Hyperparameter selection


Bayesian Approaches

"Bayesian Player Evaluation" Academic Papers

Bayesian methods for plus-minus: - Prior specification - Posterior estimation - Shrinkage interpretation


Statistical Learning for Basketball

Various Academic Texts

Advanced methods applicable to plus-minus: - Regression techniques - Regularization theory - Model validation


Basketball Analytics: Objective and Efficient Strategies

Authors: Stephen M. Shea, Christopher E. Baker Publisher: CreateSpace, 2013

Applied analytics including plus-minus discussion: - Practical applications - Team strategy implications - Historical context


Data Sources for Practice

Play-by-Play Data Sources

  • NBA API (unofficial): https://github.com/swar/nba_api
  • Basketball-Reference CSV exports
  • PBP Stats data access

Practice Datasets

  • Kaggle NBA datasets
  • Academic open data repositories
  • Team-specific historical data

Reading Path Recommendations

For Beginners

  1. Basketball-Reference glossary pages
  2. Cleaning the Glass methodology explanations
  3. Basic on/off interpretation guides
  4. FiveThirtyEight RAPTOR introduction

For Intermediate Analysts

  1. Dean Oliver's "Basketball on Paper"
  2. Rosenbaum's original adjusted +/- paper
  3. Sill's RAPM paper
  4. Partnow's "The Midrange Theory"

For Advanced Researchers

  1. Academic JQAS papers
  2. MIT Sloan Conference archives
  3. Ridge regression methodology texts
  4. Modern tracking-enhanced methods

Conferences and Presentations

MIT Sloan Sports Analytics Conference

URL: http://www.sloansportsconference.com

Annual conference featuring cutting-edge plus-minus research: - RAPM development papers - Lineup optimization research - Practical applications

New England Symposium on Statistics in Sports (NESSIS)

Type: Academic Conference

Academic statistics conference with basketball analytics: - Statistical methodology - Model validation - Research presentations


Updates and Current Developments

Plus-minus methodology continues evolving. Stay current through:

  • Twitter/X: Follow @baborowitz, @JerryEngelmann, @NateSilver538
  • Podcasts: Thinking Basketball, Dunc'd On, The Lowe Post
  • Sites: FiveThirtyEight, Dunks & Threes, Cleaning the Glass
  • Conferences: MIT Sloan Sports Analytics Conference (annual)

This bibliography represents resources available as of the textbook publication date. URLs and availability may change over time.