Basketball

BASKETBALL ANALYTICS MAIN BIBLIOGRAPHY

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Shooting Performance Analysis of LBA 2022/2023

Mirko Luigi Carlesso

A Shiny application to analyse the shooting performance of Teams and Players, given as input all the shots taken. The tools used for this analysis are maps that presents, for each point of the half-court, the shooting probability predicted through a statistical model trained on the available shots data.

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2021/22 NBA Season Infographic

Tommaso Farneti, Fabio Galante, Gianni Eduard Balbin Canchanya

Overview of the 2021/22 NBA season, analyzing characteristics, performances and differences among teams and players.

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Hack a Stat – Where advanced stats happen

A website entirely dedicated to traditional and advanced stats of Italian and European basketball (LBA Serie A, Euroleague, Eurocup, BCL, Italian Cup and Super Coppa).
For Euroleague there are also All-Time and League Average Stats.

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Go to the website (Italian)

INTERACTIVE ANALYTICS GALLERY USING DATA FROM THE OLYMPIC BASKETBALL TOURNAMENT RIO 2016

Marco Sandri, Paola Zuccolotto, Marica Manisera

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Rshiny application for the analysis of the Italian 2019/2020 “serie C Gold” data. Class project for the course “Introduction to Sport Analytics” at University Bocconi, taught by Prof. Carlo Favero.

Carlo Favero, Luca Minotti, students of the course: Lorenz Aull, Luca Badolato, Matteo Maggioni, Wentian Tian

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BallR: Interactive NBA Shot Charts with R and Shiny

Todd W. Schneider

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Animating NBA Play by Play using R

James P. Curley

Curley Social Neurobiology Lab website (Psychology Department and Center for Integrative Animal Behavior, Columbia University, New York City)

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Scoring probability versus shot clock

Paola Zuccolotto, Marica Manisera, Marco Sandri

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Scoring probability versus previous shot of the same player

Paola Zuccolotto, Marica Manisera, Marco Sandri

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Bubble graphs describing players’ and teams’ shooting performance

Paola Zuccolotto, Marica Manisera, Davide Verzeletti

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Performance analysis in the last 2 seconds of possession

Paola Zuccolotto, Marica Manisera, Davide Verzeletti

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Performance analysis when the score difference wrt the opponent is between -4 and +4 points

Paola Zuccolotto, Marica Manisera, Davide Verzeletti

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USA at Rio 2016: assists analysis

Paola Zuccolotto, Marica Manisera, Leonardo Bragantini

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Two-Point Field Goal Percentages in different game situations

Paola Zuccolotto, Marica Manisera, Marco Sandri

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