This dataset compiles NBA Draft Combine measurements and athletic performance data for every invited player from 2000 to 2025, including vertical jump scores, sprint and agility drills, bench press reps, and biometric data (height, weight, wingspan, etc.). A key feature is the “Drafted?” column, which flags whether each player was selected in the NBA Draft for their corresponding year. The data was assembled using official sources, including Basketball-Reference.com for verified draft selections and public combine data made available by the NBA and scouting services. This project was inspired by the desire to explore the predictive value of physical metrics on draft outcomes, offering a valuable foundation for statistical modeling and machine learning experiments. NOTE: This dataset was created on June 19th, 2025, and therefore does not include outcomes from the 2025 NBA Draft - combine invitees from that year are present, but their draft status is blank. Additionally, while the dataset captures whether players were drafted, it does not reflect post-draft impact, meaning it may underrepresent the significance of standout undrafted players such as Ben Wallace, Udonis Haslem, or Austin Reaves, who went on to have meaningful NBA careers. Finally, the dataset includes bench press data from 2000-2019, but bench presses were no longer measured since 2020.

Analysis of ‘NFL Combine - Performance Data (2009 - 2019)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/redlineracer/nfl-combine-performance-data-2009-2019 on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Context

This dataset contains information from the NFL Combine (2009 to 2019), including the results from sports performance tests and draft outcomes.

Content

As sports statistics are in the public domain, this database was freely downloaded from https://www.pro-football-reference.com/

Acknowledgements

I appreciate the efforts of https://www.pro-football-reference.com/ in collating and hosting sports related data, and Kaggle for providing a platform for sharing datasets and knowledge.

Inspiration

This dataset is useful for beginners and intermediate users, where they can practice visualisations, analytics, imputation, data cleaning/wrangling, and classification modelling. For example: What are the variables of importance in predicing round pick or draft status? Which school has the highest number of players being drafted into NFL? What position type or player type is most represented at the NFL Combine? Do drafted and undrafted players perform differently on performance tests?

--- Original source retains full ownership of the source dataset ---

NFL is one of the most popular sports in the world. Many of us are stat geeks who understanding not what just happened but also who and why. This NFL dataset provides a comprehensive view of NFL games, statistics, participation, and much more. The dataset includes NFL play data from 2004 to the present.

This NFL dataset provides play-by-play data from the 2004 to 2019 seasons. Dataset also includes play and participation information for players, coaches, and game officials. Additional data tables included in this file includes NFL Draft from 1989 to present, NFL Combine 1999 to present, NFL rosters from 1998 to present, NFL schedules, stadium information and much more. The granularity of NFL statistics varies by NFL season. The current version of NFL statistics has been collected since 2012. All information sources used to create this dataset are from publically accessible websites and the NFL GSIS dataset.

All information sources used to create this dataset are from publically accessible websites and NFL documentation. Although my current life is focused on data science, this project has a special place in my heart, since it links my previous profession in the NFL with my current passion for data analysis.