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Basketball Statistics Analysis Referred Concepts:
A Generalized Continuous Typology Of Playing Styles
"...To identify each player’s style is conceptually simple, but computationally somewhat more complex. ..."
The obvious question is whether players stay roughly the same from year to year over their careers, and if they don’t then to see if there’s a predictable pattern of movement.
"... These numbers are interesting on their own, but for the calculation of an index of style, they require further manipulation. In the league as a whole, the Scorer percentage is around 50%, the Perimeter percentage around 20%, and Interior 30%.
Thus, if using these percentages, the vast majority of players would appear to be very scoring-centered.
My concern here, in constructing a useful index, is to identify player propensities relative to other players, and for that, I calculate the percentile of each player’s percentages. ..."
Read the full analysis here: NBA playing style spectrum.
The graph shows the players relationships in a unique way. This fact lead me into a question, if the original style of play created by a group of players is due to that group relationship or is it just coincidence !
Prof. Roberto Azar
Read More at eBA CLINICS ONLINE, search "statistics analysis" in this blog and consult the eBA Basketball Statistics Analysis System.
is a Series of Notes edited every Thursday )
This topic is resumed in the eBA Basketball Statistics Analysis System
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tags: basketball ~ statistician's digest ~ basketball analysis ~ typology of playing styles
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Roberto E. Azar
Physical Education
Professor
Profesor de
Educación Física
Basketball
National Coach
Entrenador Nacional de
Básquetbol
Basketball Game Analyst
Analista de Partidos de Básquetbol
eBA Stats Group CEO
CEO Grupo eBA Stats
eBA Basketball Statistics Clinics Director
Director de las Clínicas eBA de Estadísticas
eBA WIKI Encyclopedia Supervisor
Supervisor de la Enciclopedia WIKI eBA
Buenos Aires, Argentina
azarober AT eba-stats DOT com
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