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Published April 28, 2025 | Version v2
Dataset Open

NBA Player Dataset

  • 1. ROR icon TU Wien

Description

Description

 

This dataset contains end-of-season box-score aggregates for NBA players over the 2012–13 through 2023–24 seasons, split into training and test sets for both regular season and playoffs. Each CSV has one row per player per season with columns for points, rebounds, steals, turnovers, 3-pt attempts, FG attempts, plus identifiers.

 

File Details

Notebook

Analysis.ipynb: Involves the graphica output of the trained  and tested data.

Trained/ Test csv Data

NameDescriptionPID
regular_train.csvFor training purposes, the seasons 2012-2013 through 2021-2022 were selected as training purpose4421e56c-4cd3-4ec1-a566-a89d7ec0bced
regular_test.csv:For testing purpose of the regular season, the 2022-2023 season was selectedf9d84d5e-db01-4475-b7d1-80cfe9fe0e61
playoff_train.csvFor training purposes of the playoff season, the seasons 2012-2013 through 2022-2023 were selected bcb3cf2b-27df-48cc-8b76-9e49254783d0
playoff_test.csvFor testing purpose of the playoff season, 2023-2024  season was selectedde37d568-e97f-4cb9-bc05-2e600cc97102

Additional Notes 

Raw csv files are taken from Kaggle (Source: https://www.kaggle.com/datasets/shivamkumar121215/nba-stats-dataset-for-last-10-years/data)

Plots have also been uploaded as an output for visual purposes.

A more detailed version can be found on github (Link: https://github.com/bubaltali/nba-prediction-analysis/)

Files

Analysis.ipynb

Files (3.7 MiB)

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Additional details