Basketball scoring in NBA games: An example of complexity

  title={Basketball scoring in NBA games: An example of complexity},
  author={Yves de Sa{\'a} Guerra and Juan Gonzalez and Samuel Sarmiento Montesdeoca and David Rodr{\'i}guez Ruiz and Nieves Arjonilla L{\'o}pez and Juan Manuel Garc{\'i}a Manso},
Scoring in a basketball game is a process highly dynamic and non-linear type. The level of NBA teams improve each season. They incorporate to their rosters the best players in the world. These and other mechanisms, make the scoring in the NBA basketball games be something exciting, where, on rare occasions, we really know what will be the result at the end of the game. We analyzed all the games of the 2005-06, 2006-07, 2007-08, 2008-09, 2009-10 NBA regular seasons (6150 games). We have studied… 
Last minute in NBA games
Apparently the behavior during a basketball game, as in other team sports, shows tremendous variability manifested in both individual and collective ways. However, when a significant number of games
Journal of Quantitative Analysis in Sports Manuscript 1416 Random Walk Picture of Basketball Scoring
We present evidence, based on play-by-play data from all 6087 games from the 2006/07– 2009/10 seasons of the National Basketball Association (NBA), that basketball scoring is well described by a
Exploring the effects of substituting basketball players in high-level teams
The temporal effects of substitutions in basketball (Spanish professional basketball league) are identified to allow optimising coaches’ plans and team management of on-court and bench players throughout the game.
Performance analysis of game dynamics during the 4th game quarter of NBA close games
The purpose of the present study was to identify which situational variables and technical-tactical variables allow to discriminate home and away teams during the fourth quarters of close NBA
The Advantage of Playing Home in NBA: Microscopic, Team-Specific and Evolving Features
It is found that home advantage affects the microscopic dynamics of the game by increasing the scoring rates and decreasing the time intervals between scores of teams playing home, and these microscopic features have evolved over time in a non-trivial manner when analyzing the results team-by-team.
Game related predictors discriminating between winning and losing teams in preliminary, second and final round of basketball world cup 2019
ABSTRACT The objective of the current study is to identify how victory or defeat is affected by the game-related statistics among men’s national teams in the Basketball World Cup 2019. The sample
Players’ technical and physical performance profiles and game-to-game variation in NBA
Abstract The aim of this study was to (i) identify technical and physical performances of basketballers according to playing position in strong and weak teams, and (ii) describe variability in
Scoring dynamics across professional team sports: tempo, balance and predictability
Using a comprehensive data set of scoring events in nearly a dozen consecutive seasons of college and professional (American) football, professional hockey, and professional basketball, several common patterns in scoring dynamics are identified.


Can complex network metrics predict the behavior of NBA teams?
This paper uses complex network statistics to analyze the NBA database in order to create models to represent the behavior of teams in the NBA, and proposes new models for predicting a team success based on complex network metrics, such as clustering coefficient and node degree.
Patterns of NBA team performance from 1950 to 1998
This paper examines team performance in the NBA over the last five decades. It was motivated by two previous observational studies, one of which studied the winning percentages of professional
Space–time coordination dynamics in basketball: Part 2. The interaction between the two teams
Analysis of the space–time coordination dynamics of two basketball teams during competition demonstrated in-phase stabilities in both the longitudinal and lateral directions, with more stability in the longitudinal than lateral direction.
Soccer: Is scoring goals a predictable Poissonian process?
A uniquely defined function is derived which quantitatively predicts the expected average outcome of a soccer match in terms of the fitness of both teams, and can be generalized to different types of sports events.
Football fever: goal distributions and non-Gaussian statistics
Analyzing football score data with statistical techniques, we investigate how the not purely random, but highly co-operative nature of the game is reflected in averaged properties such as the
Statistics of football dynamics
It is shown that the statistics of ball touches presents power-law tails and can be described by q-gamma distributions, and a model is proposed that provides information on the characteristics of football dynamics.
Sport competition as a dynamical self-organizing system
This paper offers some examples of dynamical interactions in dyadic and team sports, as well as some predictions from a dynamical systems analysis for these types of sports contests, to initiate further research into the complex interactions that occur in sport competition.
The NBA as an Evolving Multivariate System
Abstract This article examines the NBA as an evolving system from the viewpoint of evolutionary biologist Stephen Jay Gould who wrote extensively on the disappearance of the .400 hitter in major