NFL Combine - 2010 To 2023 Performance Data
@kaggle.thomassshaw_nfl_combine_performance_dataset
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NFL Combine results including the draft outcome
Dataset Description
Context
This dataset compiles player performance data from the NFL Combine, sourced from Pro Football Reference. The dataset spans from 2010 to 2023, featuring various attributes showcasing the physical and athletic prowess of NFL prospects during their combine assessments.
| Column | Description |
|---|---|
| Year | The year of the NFL Combine assessment. |
| Player | The name of the player. |
| Pos | Player position. |
| School | The university or institution where the player played college football. |
| Height | Height of the player. |
| Weight | Weight of the player. |
| 40yd | Time taken by the player to run 40 yards. |
| Vertical | Vertical jump height. |
| Bench | Number of bench press repetitions. |
| Broad Jump | Distance covered in the broad jump. |
| 3Cone | Time taken to complete the 3-cone drill. |
| Shuttle | Time taken to complete the shuttle run. |
| Drafted | Boolean value indicating whether the player was drafted (True) or not (False). |
| Round | The round in which the player was drafted. |
| Pick | The pick number within the drafted round. |
Example Projects
- Draft Prediction Model: Build a machine learning model to predict the likelihood of a player getting drafted based on their combine performance.
- Position-Specific Analysis: Analyze and compare combine metrics across different player positions. Identify trends and differences in physical attributes and performance.
- Draft Round Prediction: Build a model to predict the likely round in which a player will be drafted based on their combine performance.
Related Datasets
-
National Football League (NFL)
@nflverse
-
NFL Fantasy Football
@nflverse
