Deep Dive on Regularized Adjusted Plus Minus II: Basic Application to 2017 NBA Data with R by Justin Jacobs

In our previous post, we introduced the theory associated with Regularized Adjusted Plus Minus (RAPM) through an illustrative example. In this post, we walk through a vanilla-flavored methodology for building a RAPM model for NBA data. In this article, we focus on the data necessary, the required data manipulation process, and methodology for determining required […]

via Deep Dive on Regularized Adjusted Plus Minus II: Basic Application to 2017 NBA Data with R — Squared Statistics: Understanding Basketball Analytics

Deep Dive on Regularized Adjusted Plus-Minus I: Introductory Example by Justin Jacobs

Let’s start with a simple exercise. Suppose we have a three-on-three game, where there are five players on each team. If the game results in Team A defeating Team B by a score of 54 – 53; how can we determine each player’s contribution? We will identify the players as A1, A2, A3, A4, and […]

via Deep Dive on Regularized Adjusted Plus-Minus I: Introductory Example — Squared Statistics: Understanding Basketball Analytics

Hammer Offense: Mechanics and Quantification by Justin Jacobs of Squared2020

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If there was ever an evolution of basketball that led to present day NBA, it would be the transformation of the misdirection offense starting in the early 2000’s under Spurs’ head coach Greg Popovich. Leading the charge in reducing the number of low percentage shots, spreading the court through a series of flare screens, drags, […]

via Hammer Offense: Mechanics and Quantification — Squared Statistics: Understanding Basketball Analytics

EuroBasket 2017: Croatia – Russia preview by CIGARAFTERTEN

Yesterday we lost some money as Italy destroyed Finland. Today we are set to get our revenge with another EuroBasket 2017 game. 🇪🇺 EuroBasket 2017 20:30 Croatia – Russia round of 16 Sinan Erdem Arena Istanbul, Turkey 🏀 CROATIA – RUSSIA EuroBasket 2017 round of 16 It sounds strange to have Croatia vs Russia in the round […]

via EuroBasket 2017: Croatia – Russia preview — CIGARAFTERTEN

BLUE Defense: Introduction and Analysis by Squared2020

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One of the simplest offensive plays in basketball is the pick and roll. The philosophy is relatively straightforward, a ball handler waits to receive a screen from a teammate and reacts accordingly. If the teammate establishes position, gets low and wide, and makes proper contact with the ball handler’s defender, then the defense is forced […]

via BLUE Defense: Introduction and Analysis — Squared Statistics: Understanding Basketball Analytics

EuroBasket 2017: Finland – Italy preview by CIGARAFTERTEN

Finland and Italy meet in the round of 16. In the Group Phase Finland secured a good 2nd position in Group A with 4 wins and 1 lost, while Italy ended 3rd in Group B with a 3-2 record. 🇪🇺 EuroBasket 2017 17:45 Finland – Italy round of 16 Sinan Erdem Arena Istanbul, Turkey 🏀 FINLAND – […]

via EuroBasket 2017: Finland – Italy preview — CIGARAFTERTEN

Dean Oliver’s Four Factors or is it Eight Factors? by Justin Jacobs

As a former student of Dean, I value his finding a lot. Here is a new take on his work and a bit more to add to it.

 

In 2004, Dean Oliver expanded upon his “Four Factors” philosophy from his 2002 book, Basketball on Paper, in an attempt to identify how four important strategies relate to success in basketball. These strategies are nothing new, as these were drilled into my head from coaches dating back to the early 90’s. The novelty of understanding […]

via Introduction to Oliver’s Four Factors — Squared Statistics: Understanding Basketball Analytics

Eurobasket 2017: Team Ratings by Athlytics Blog

A great share by a great blogger.

Given that we are almost done with eliminations in the initial round here are some valuable ratings that can be made use of.

 

With the Eurobasket 2017 tournament under way, I provide regression-based ratings for the teams. Every team T will be assigned a rating r(T) (to be found) that represents how many points better (or worse) the team is compared to an average team, which will have a rating of 0. Using these ratings we can project […]

via Eurobasket 2017: Team Ratings — The Athlytics Blog