Squared Statistics: Understanding Basketball Analytics

A Blog by Justin Jacobs

Menu

Skip to content
  • Home
  • About
  • 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

Tag Archives: Physics

Gravity Example: 0.04s of Computation

Recently, we posted about a way to redefine gravity in terms of a joint model that can be used to quantify defensive interaction, offensive spacing, and spatio-temporal motion of a possession. The result yields a sparse N x 2P x Q x R x S x Z tensor that characterizes the interactions of players, locations on the court,…

December 25, 2017 in Advanced Methods, Analytics Analysis, NBA, Tracking.

Recent Posts

  • 1969-1970 NBA RAPM
  • 1990 – 1991 NBA RAPM
  • 1979 – 1980 NBA RAPM
  • Boston vs. The Field: Defensive 3PT%
  • Approximating Curves II: Assimilation of the Jump Shot Process

Recent Comments

Hawks waste Trae You… on The “80 Point Club…
Lawrence B on Defensive Ratings: Estimation…
What is the best adv… on Regularized Adjusted Plus-Minu…
What is the best adv… on Regularized Adjusted Plus-Minu…
What is the best adv… on Regularized Adjusted Plus-Minu…

Archives

  • December 2021
  • September 2021
  • April 2021
  • January 2021
  • November 2020
  • October 2020
  • December 2019
  • November 2019
  • October 2019
  • September 2019
  • August 2019
  • May 2019
  • April 2019
  • February 2019
  • January 2019
  • December 2018
  • November 2018
  • October 2018
  • September 2018
  • January 2018
  • December 2017
  • November 2017
  • October 2017
  • September 2017
  • August 2017
  • July 2017
  • June 2017
  • May 2017
  • April 2017
  • March 2017
  • February 2017
  • January 2017
  • December 2016
  • November 2016
  • October 2016
  • September 2016
  • August 2016
  • June 2016
  • March 2016
  • February 2016
  • January 2016
  • December 2015
  • November 2015
  • October 2015
  • September 2015
  • August 2015

Categories

  • Advanced Methods
  • Analytics Analysis
  • Basketball
  • Conference Break Down
  • Crime
  • Data Science
  • Football
  • March Madness
  • Miscellaneous
  • MLB
  • NBA
  • NCAA
  • NFL
  • People
  • Rankings
  • Rankings
  • Tracking
  • Uncategorized

Meta

  • Register
  • Log in
  • Entries feed
  • Comments feed
  • WordPress.com
Blog at WordPress.com.
  • Follow Following
    • Squared Statistics: Understanding Basketball Analytics
    • Join 2,339 other followers
    • Already have a WordPress.com account? Log in now.
    • Squared Statistics: Understanding Basketball Analytics
    • Customize
    • Follow Following
    • Sign up
    • Log in
    • Report this content
    • View site in Reader
    • Manage subscriptions
    • Collapse this bar
 

Loading Comments...