Squared Statistics: Understanding Basketball Analytics
A Blog by Justin Jacobs
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Historical RAPM
1979 – 1980 NBA RAPM
1984 – 1985 NBA RAPM
1987- 1988 NBA RAPM
Tracking
The Potential Assist
Applying Role Alignment to Tracking Data
Skayton Ayton: A Look into Spacing and Putting Bigs on Skates
Modeling the Pass
Current Shooting Trends in the NBA
Game of Waveforms
The Components of Offense: Turning the Lurk into a Feature
Understanding Trends in the NBA: How NNMF Works
An Example in Kullback-Leibler Divergence
Stochastic Tracking II: Next Gen Solutions and Player Performance
Stochastic Tracking
Kinematics of Player Motion
Voronoi Tesselation and Rebounding Position: Defining Distance by Seconds
The Art of Sketching: Trajectory Analysis
Gravity: Introduction to Bodies
Gravity Example: 0.04s of Computation
Understanding the Spatial Tendencies of Assists, the K(t) Test, and the Orlando Magic
Measuring Attack Vectors of Ball-Handlers
Building a Simple Spatial Analytic: Passing Lane Coverage
Hammer Offense: Mechanics and Quantification
Identifying Player Possession in Spatio-Temporal Data
Bryant’s Role In the Lakers Offense
NBA Tracking Using Python: Warriors vs. Grizzlies
Building NBA Defenses Using the Convex Hull
NBA Data Science: Breaking Down NBA Data
NBA Shot Charts via Kernel Density Estimation
Spatio-Temporal Data In the NBA
Running Net Points
Analytics Analysis
Stop Rate
The “No Turnover” Turnover
True Shooting Percentage Part I: Introduction and Framework for Advancement
Random Manatees: The Art of Ranking Players
Regularized Adjusted Plus-Minus Part III: What Had Really Happened Was…
The “Wisconsin Stat”
Ranks and Percentiles
Second Chances and the Rebounding Specialist
Crediting Assists: A Fairly Risky Method
Offensive and Defensive Ratings
Usage and Efficiency
Making Blocks Count
Testing the Quality of a Binary Classifier: ROC Curves
Developing a Cross-Product Analytic: Kidd Score
Relationship Between TS% and eFG%
Deep Dive with Python: Offensive Ratings
Game Score: Focus on Scoring
Deep Dive on Regularized Adjusted Plus Minus II: Basic Application to 2017 NBA Data with R
Deep Dive on Regularized Adjusted Plus-Minus I: Introductory Example
Understanding FG% and Rebounding in Player Efficiency Ratings
Analyzing NBA Possession Models
Rebounding Rates: Good for Teams; Bad for Players
Miscellaneous
A Methodology for Qualitatively Comparing Games
Curious Tale of 3’s Versus 2’s in the NBA
Pistol: Disrupting the Defense
An Absurd and Effective Way to Combat Tanking and Make the Playoffs Insane
Minnesota Timberwolves Offense: Stability, Screens, and Mid-range Game
Distributional Analysis of Free Throws and the Denver Nuggets
Evaluating Assists with Python: Community Detection and the Brooklyn Nets
Analyzing Steals in the 2016-17 NBA Season
Basics in Negative Binomial Regression: Predicting Three Point Field Goal Percentages
Identifying Clutch Players in the NBA: 2016/17 Analysis
Applying Tensors to Find Optimal Match-Ups in the NBA
Using Random Forests to Forecast NBA Careers
How NBA Draft Lottery Probabilities Are Constructed
Is the NBA Draft Lottery Fixed? A Statistical Analysis of 1994 – 2017.
The Real 2017 NBA Draft Lottery Odds
Comparing West vs. East: If the NBA Playoffs Were Seeded Like the NCAA
Hypothesis Testing: Is NBA Scoring Up This Year?
Proximity of NBA Teams
Redefining NBA Divisions By Clustering
Quantifying NBA Hall of Fame Potential for NBA Players Using Random Forests
Score Flows of NBA Teams
March Madness
March Madness Bracketology: February 26th Edition
March Madness Bracketology: February 23rd Edition
March Madness Bracketology: February 20th Edition
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Published
December 3, 2018
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