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Squared Statistics: Understanding Basketball Analytics

A Blog by Justin Jacobs

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    • 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
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    • 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
    • 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
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    • March Madness Bracketology: February 26th Edition
    • March Madness Bracketology: February 23rd Edition
    • March Madness Bracketology: February 20th Edition
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Football

NCAA Football Rankings – November 22nd Edition

With 14 days remaining before selection day for the NCAA Division I Football Bowl Series, we decided to apply the Bradley-Terry model for identifying a ranking of the 128 NCAA Division I Football Bowl Series teams. All we considered for this model is whether a team won a particular match-up, and whether the location of the game…

November 22, 2015 in Football, NCAA, Uncategorized.
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