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NFL Big Data Bowl 2026 — Pre-Snap Predictor

🏈 Predicting post-snap outcomes using NFL pre-snap tracking data.

Objective

Use pre-snap frames and metadata to model post-snap events such as:

  • Play type (run/pass)
  • Route combinations
  • Defensive coverages and motion deception

Data Sources

  • tracking_week_1–9.csv (pre-snap only)
  • plays.csv
  • player_play.csv
  • players.csv
  • games.csv

Repo Structure

  • /data: Raw and processed datasets
  • /notebooks: EDA and experiments
  • /src: Feature engineering and model scripts

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Predictive modeling using pre-snap NFL tracking data to anticipate play outcomes for the 2026 Big Data Bowl. Includes feature engineering, data pipelines, and exploratory football analytics.

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