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"2017-10-25T08:10:18+00:00" }, { "id": "01a0d1d4-4aaf-73a1-b19c-8dc663bf21f9", "title": "Understanding the Spatial Tendencies of Assists, the K(t) Test, and the Orlando Magic", "url": "https://squared2020.com/2017/10/18/understanding-the-spatial-tendencies-of-assists-the-kt-test-and-the-orlando-magic/", "published_at": "2017-10-18T23:06:15+00:00" }, { "id": "01a0d1d4-903b-73bd-b244-b1342d3c2018", "title": "Testing the Quality of a Binary Classifier: ROC Curves", "url": "https://squared2020.com/2017/10/14/testing-the-quality-of-a-binary-classifier-roc-curves/", "published_at": "2017-10-14T21:08:45+00:00" }, { "id": "01a0d1d4-903c-7379-8b1f-d92f68d14865", "title": "Developing a Cross-Product Analytic: Kidd Score", "url": "https://squared2020.com/2017/10/13/developing-a-cross-product-analytic-kidd-score/", "published_at": "2017-10-13T19:03:22+00:00" }, { "id": "01a0d1d4-903c-7379-8b1f-d92f69080ccc", "title": "Distributional Analysis of Free Throws and the Denver Nuggets", "url": "https://squared2020.com/2017/10/12/distributional-analysis-of-free-throws-and-the-denver-nuggets/", "published_at": "2017-10-12T18:20:27+00:00" }, { "id": "01a0d1d4-903c-7379-8b1f-d92f696ec313", "title": "Relationship Between TS% and eFG%", "url": "https://squared2020.com/2017/10/10/relationship-between-ts-and-efg/", "published_at": "2017-10-10T23:36:08+00:00" }, { "id": "01a0d1d4-903c-7379-8b1f-d92f69748d9c", "title": "Evaluating Assists with Python: Community Detection and the Brooklyn Nets", "url": "https://squared2020.com/2017/10/10/evaluating-assists-with-python-community-detection-and-the-brooklyn-nets/", "published_at": "2017-10-10T20:07:18+00:00" }, { "id": "01a0d1d4-903c-7379-8b1f-d92f6a5b5d0f", "title": "Deep Dive with Python: Offensive Ratings", "url": "https://squared2020.com/2017/10/04/deep-dive-with-python-offensive-ratings/", "published_at": "2017-10-04T22:59:54+00:00" }, { "id": "01a0d1d4-903c-7379-8b1f-d92f6b490ceb", "title": "Measuring Attack Vectors of Ball-Handlers", "url": "https://squared2020.com/2017/10/02/measuring-attack-vectors-of-ball-handlers/", "published_at": "2017-10-02T23:14:22+00:00" }, { "id": "01a0d1d4-903c-7379-8b1f-d92f6bfa87fb", "title": "How NBA Draft Lottery Probabilities Are Constructed", "url": "https://squared2020.com/2017/09/30/how-nba-draft-lottery-probabilities-are-constructed/", "published_at": "2017-09-30T18:55:23+00:00" }, { "id": "01a0d1d4-903c-7379-8b1f-d92f6c00747e", "title": "Using Random Forests to Forecast NBA Careers", "url": "https://squared2020.com/2017/09/29/using-random-forests-to-forecast-nba-careers/", "published_at": "2017-09-29T21:57:52+00:00" }, { "id": "01a0d1d4-903c-7379-8b1f-d92f6cf42830", "title": "Building a Simple Spatial Analytic: Passing Lane Coverage", "url": "https://squared2020.com/2017/09/21/building-a-simple-spatial-analytic-passing-lane-coverage/", "published_at": "2017-09-21T20:08:57+00:00" }, { "id": "01a0d1d4-c6e3-7034-acf0-0da790f122f3", "title": "Game Score: Focus on Scoring", "url": "https://squared2020.com/2017/09/20/game-score-focus-on-scoring/", "published_at": "2017-09-20T18:14:42+00:00" }, { "id": "01a0d1d4-c6e3-7034-acf0-0da79169762b", "title": "Deep Dive on Regularized Adjusted Plus Minus II: Basic Application to 2017 NBA Data with R", "url": "https://squared2020.com/2017/09/18/deep-dive-on-regularized-adjusted-plus-minus-ii-basic-application-to-2017-nba-data-with-r/", "published_at": "2017-09-18T20:24:00+00:00" }, { "id": "01a0d1d4-c6e3-7034-acf0-0da792421d00", "title": "Deep Dive on Regularized Adjusted Plus-Minus I: Introductory Example", "url": "https://squared2020.com/2017/09/18/deep-dive-on-regularized-adjusted-plus-minus-i-introductory-example/", "published_at": "2017-09-18T18:43:06+00:00" }, { "id": "01a0d1d4-c6e3-7034-acf0-0da7932a5a46", "title": "Hammer Offense: Mechanics and Quantification", "url": "https://squared2020.com/2017/09/14/hammer-offense-mechanics-and-quantification/", "published_at": "2017-09-15T01:30:50+00:00" }, { "id": "01a0d1d4-c6e3-7034-acf0-0da79367934e", "title": "BLUE Defense: Introduction and Analysis", "url": "https://squared2020.com/2017/09/08/blue-defense-introduction-and-analysis/", "published_at": "2017-09-09T02:11:43+00:00" }, { "id": "01a0d1d4-c6e3-7034-acf0-0da793f38ce3", "title": "Introduction to Oliver’s Four Factors", "url": "https://squared2020.com/2017/09/05/introduction-to-olivers-four-factors/", "published_at": "2017-09-06T00:31:35+00:00" }, { "id": "01a0d1d4-c6e3-7034-acf0-0da793f8ed45", "title": "Understanding FG% and Rebounding in Player Efficiency Ratings", "url": "https://squared2020.com/2017/09/04/understanding-fg-and-rebounding-in-player-efficiency-ratings/", "published_at": "2017-09-04T21:10:26+00:00" }, { "id": "01a0d1d4-c6e3-7034-acf0-0da794947b3f", "title": "Breaking Down Player Efficiency Rating", "url": "https://squared2020.com/2017/09/01/breaking-down-player-efficiency-rating/", "published_at": "2017-09-02T06:32:32+00:00" }, { "id": "01a0d1d4-c6e3-7034-acf0-0da79518f7f8", "title": "Spatio-Temporal Nonparametric Distributional Analysis of NBA Defenses: Introduction and Teaser", "url": "https://squared2020.com/2017/08/31/spatio-temporal-nonparametric-distributional-analysis-of-nba-defenses-introduction-and-teaser/", "published_at": "2017-08-31T21:23:43+00:00" }, { "id": "01a0d1d4-c6e3-7034-acf0-0da79533426e", "title": "Basics in Negative Binomial Regression: Predicting Three Point Field Goal Percentages", "url": "https://squared2020.com/2017/08/20/basics-in-negative-binomial-regression-predicting-three-point-field-goal-percentages/", "published_at": "2017-08-21T01:17:01+00:00" }, { "id": "01a0d1d4-f5c1-7156-8529-ae8a0cd276ed", "title": "How Safe is an NBA Lead in the 2016-17 Season", "url": "https://squared2020.com/2017/08/13/how-safe-is-an-nba-lead-in-the-2016-17-season/", "published_at": "2017-08-14T00:32:36+00:00" }, { "id": "01a0d1d4-f5c1-7156-8529-ae8a0d73f0cd", "title": "Analyzing Steals in the 2016-17 NBA Season", "url": "https://squared2020.com/2017/08/12/analyzing-steals-in-the-2016-17-nba-season/", "published_at": "2017-08-13T02:37:47+00:00" }, { "id": "01a0d1d4-f5c1-7156-8529-ae8a0e5f8b62", "title": "Rebounding Rates: Good for Teams; Bad for Players", "url": "https://squared2020.com/2017/07/31/rebounding-rates-good-for-teams-bad-for-players/", "published_at": "2017-07-31T19:03:23+00:00" }, { "id": "01a0d1d4-f5c1-7156-8529-ae8a0f022e17", "title": "Applying Tensors to Find Optimal Match-Ups in the NBA", "url": "https://squared2020.com/2017/07/14/applying-tensors-to-find-optimal-match-ups-in-the-nba/", "published_at": "2017-07-14T22:18:02+00:00" }, { "id": "01a0d1d4-f5c1-7156-8529-ae8a0f0f17bb", "title": "Analyzing NBA Possession Models", "url": "https://squared2020.com/2017/07/10/analyzing-nba-possession-models/", "published_at": "2017-07-11T04:45:41+00:00" }, { "id": "01a0d1d4-f5c1-7156-8529-ae8a0f4c58d4", "title": "Comparing West vs. East: If the NBA Playoffs Were Seeded Like the NCAA", "url": "https://squared2020.com/2017/07/04/removing-west-vs-east-if-the-nba-playoffs-were-seeded-like-the-ncaa/", "published_at": "2017-07-05T03:45:06+00:00" }, { "id": "01a0d1d4-f5c1-7156-8529-ae8a10467930", "title": "Identifying Clutch Players in the NBA: 2016/17 Analysis", "url": "https://squared2020.com/2017/06/25/identifying-clutch-players-in-the-nba-201617-analysis/", "published_at": "2017-06-25T22:29:32+00:00" }, { "id": "01a0d1d4-f5c1-7156-8529-ae8a10b08cae", "title": "Measuring the NBA MVP Race and Solomon Hill", "url": "https://squared2020.com/2017/06/25/measuring-the-nba-mvp-race-and-solomon-hill/", "published_at": "2017-06-25T09:45:17+00:00" }, { "id": "01a0d1d4-f5c1-7156-8529-ae8a1160baad", "title": "NBA Finals: Review of the MCMC", "url": "https://squared2020.com/2017/06/01/nba-finals-review-of-the-mcmc/", "published_at": "2017-06-02T01:10:50+00:00" }, { "id": "01a0d1d4-f5c1-7156-8529-ae8a11bc57f8", "title": "What’s In A Lottery Pick: Playoffs, Champions, and MVP’s", "url": "https://squared2020.com/2017/05/31/whats-in-a-lottery-pick-playoffs-champions-and-mvps/", "published_at": "2017-06-01T01:39:58+00:00" } ] posts Claim your blog

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2026

1991-92 NBA RAPM original ↗

1 May 2026

The Historical RAPM Project original ↗

29 Apr 2026

The Bad Boys by the Numbers: What 1988–89 Lineup Data Tells Us About Detroit’s Dynasty original ↗

22 Apr 2026

1988-1989 NBA RAPM original ↗

11 Apr 2026

2025

Supplemental to 1985-1996 NBA RAPM original ↗

1 Jun 2025

Historical RAPM: 1985 – 1996 original ↗

26 Jan 2025

1989-1990 NBA RAPM original ↗

26 Jan 2025

2023

1992-1993 NBA RAPM original ↗

26 Aug 2023

2022

1995-1996 NBA RAPM original ↗

18 Jul 2022

2021

1969-1970 NBA RAPM original ↗

20 Dec 2021

1990 – 1991 NBA RAPM original ↗

11 Sept 2021

1979 – 1980 NBA RAPM original ↗

12 Apr 2021

Boston vs. The Field: Defensive 3PT%original ↗

24 Jan 2021

2020

Approximating Curves II: Assimilation of the Jump Shot Process original ↗

7 Nov 2020

Approximating Curves I: Mechanical Process original ↗

30 Oct 2020

2019

Analytic Breakdown: 1963 Finals Game 6 original ↗

26 Dec 2019

Extending Possessions: Geometric Distribution original ↗

27 Nov 2019

Offensive Crashing original ↗

18 Nov 2019

Story Underneath Usage: Incompleteness original ↗

18 Oct 2019

Manifold Nonparametrics: Which Way Do Passers Pass?original ↗

9 Oct 2019

Exercising Error: Quantifying Statistical Tests Under RAPM (Part IV)original ↗

3 Oct 2019

Warping Play Registration original ↗

9 Sept 2019

Considering Consistency of an Analytic original ↗

6 Aug 2019

Transitioning Turnovers: Case Study of Golden State and Toronto original ↗

21 May 2019

True 2019 NBA Lottery Odds original ↗

30 Apr 2019

The Randomness of Ratings original ↗

23 Apr 2019

The “80 Point Club”original ↗

21 Apr 2019

From the Ground Up: Points Scored original ↗

27 Feb 2019

An Example in Kullback-Leibler Divergence original ↗

7 Feb 2019

For the Love of 3: Columbia to Houston via China, Angola and Iowa original ↗

1 Feb 2019

Stop Rate original ↗

30 Jan 2019

The “No Turnover” Turnover original ↗

27 Jan 2019

The Potential Assist original ↗

25 Jan 2019

A Methodology for Qualitatively Comparing Games original ↗

16 Jan 2019

True Shooting Percentage Part I: Introduction and Framework for Advancement original ↗

9 Jan 2019

2018

Random Manatees: The Art of Ranking Players original ↗

28 Dec 2018

Applying Role Alignment to Tracking Data original ↗

27 Dec 2018

Regularized Adjusted Plus-Minus Part III: What Had Really Happened Was…original ↗

24 Dec 2018

Five-Man Lineups: Data Access original ↗

13 Dec 2018

Skayton Ayton: A Look into Spacing and Putting Bigs on Skates original ↗

3 Dec 2018

Modeling the Pass original ↗

30 Nov 2018

Current Shooting Trends in the NBA original ↗

24 Nov 2018

The “Wisconsin Stat”original ↗

22 Nov 2018

Ranks and Percentiles original ↗

21 Nov 2018

Game of Waveforms original ↗

2 Nov 2018

Is Scoring Up (Again) in the NBA?original ↗

29 Oct 2018

Curious Tale of 3’s Versus 2’s in the NBA original ↗

21 Oct 2018

The Components of Offense: Turning the Lurk into a Feature original ↗

20 Oct 2018

Introduction to Pandas Using Play-By-Play original ↗

11 Oct 2018

Pistol: Disrupting the Defense original ↗

10 Oct 2018

Understanding Trends in the NBA: How NNMF Works original ↗

4 Oct 2018

Second Chances and the Rebounding Specialist original ↗

2 Oct 2018

Stochastic Tracking II: Next Gen Solutions and Player Performance original ↗

26 Sept 2018

Stochastic Tracking original ↗

24 Sept 2018

An Absurd and Effective Way to Combat Tanking and Make the Playoffs Insane original ↗

19 Sept 2018

Crediting Assists: A Fairly Risky Method original ↗

14 Sept 2018

Computing in the Stream: Schedule Compactification original ↗

1 Jan 2018

2017

Gravity Example: 0.04s of Computation original ↗

25 Dec 2017

Gravity: Introduction to Bodies original ↗

22 Dec 2017

Making Blocks Count original ↗

20 Dec 2017

Usage and Efficiency original ↗

2 Dec 2017

Offensive and Defensive Ratings original ↗

25 Nov 2017

Minnesota Timberwolves Offense: Stability, Screens, and Mid-range Game original ↗

20 Nov 2017

Bradley-Terry Rankings: Introduction to Logistic Regression original ↗

9 Nov 2017

Defensive Ratings: Estimation vs. Counting original ↗

5 Nov 2017

Statistics of Colley’s Ranking Methodology original ↗

4 Nov 2017

Kinematics of Player Motion original ↗

30 Oct 2017

Voronoi Tesselation and Rebounding Position: Defining Distance by Seconds original ↗

25 Oct 2017

The Art of Sketching: Trajectory Analysis original ↗

25 Oct 2017

Understanding the Spatial Tendencies of Assists, the K(t) Test, and the Orlando Magic original ↗

18 Oct 2017

Testing the Quality of a Binary Classifier: ROC Curves original ↗

14 Oct 2017

Developing a Cross-Product Analytic: Kidd Score original ↗

13 Oct 2017

Distributional Analysis of Free Throws and the Denver Nuggets original ↗

12 Oct 2017

Relationship Between TS% and eFG%original ↗

10 Oct 2017

Evaluating Assists with Python: Community Detection and the Brooklyn Nets original ↗

10 Oct 2017

Deep Dive with Python: Offensive Ratings original ↗

4 Oct 2017

Measuring Attack Vectors of Ball-Handlers original ↗

2 Oct 2017

How NBA Draft Lottery Probabilities Are Constructed original ↗

30 Sept 2017

Using Random Forests to Forecast NBA Careers original ↗

29 Sept 2017

Building a Simple Spatial Analytic: Passing Lane Coverage original ↗

21 Sept 2017

Game Score: Focus on Scoring original ↗

20 Sept 2017

Deep Dive on Regularized Adjusted Plus Minus II: Basic Application to 2017 NBA Data with R original ↗

18 Sept 2017

Deep Dive on Regularized Adjusted Plus-Minus I: Introductory Example original ↗

18 Sept 2017

Hammer Offense: Mechanics and Quantification original ↗

15 Sept 2017

BLUE Defense: Introduction and Analysis original ↗

9 Sept 2017

Introduction to Oliver’s Four Factors original ↗

6 Sept 2017

Understanding FG% and Rebounding in Player Efficiency Ratings original ↗

4 Sept 2017

Breaking Down Player Efficiency Rating original ↗

2 Sept 2017

Spatio-Temporal Nonparametric Distributional Analysis of NBA Defenses: Introduction and Teaser original ↗

31 Aug 2017

Basics in Negative Binomial Regression: Predicting Three Point Field Goal Percentages original ↗

21 Aug 2017

How Safe is an NBA Lead in the 2016-17 Season original ↗

14 Aug 2017

Analyzing Steals in the 2016-17 NBA Season original ↗

13 Aug 2017

Rebounding Rates: Good for Teams; Bad for Players original ↗

31 Jul 2017

Applying Tensors to Find Optimal Match-Ups in the NBA original ↗

14 Jul 2017

Analyzing NBA Possession Models original ↗

11 Jul 2017

Comparing West vs. East: If the NBA Playoffs Were Seeded Like the NCAA original ↗

5 Jul 2017

Identifying Clutch Players in the NBA: 2016/17 Analysis original ↗

25 Jun 2017

Measuring the NBA MVP Race and Solomon Hill original ↗

25 Jun 2017

NBA Finals: Review of the MCMC original ↗

2 Jun 2017

What’s In A Lottery Pick: Playoffs, Champions, and MVP’s original ↗

1 Jun 2017