General MLOpen

NFL Big Data Bowl 2027

Uncover non-obvious linkages between Combine sensor tracking and regular-season NFL game performance

Official pageOpen the competition on Kaggle
Effort
25–70 hours
Difficulty
Advanced
Compute
CPU only
Scoring
Judged

At a glance

Full rules ↗
Scoring
NFL team analysts and tracking-vendor judges score Football 30%, Data Science 30%…
Teams
Up to 5 per team
Submitting
Up to 5 a day
Host
The National Football League

Is it for you?

Prepare before joining

Beginner fit17/100

Learning value68/100

Who it suits

Participants comfortable analyzing football tracking data and explaining reproducible findings in a public notebook.

What makes it hard

Judges assess football relevance, data science, writing and visualization; modeling accuracy alone is not the objective.

Getting started

Skills to bring

  • Python or R data analysis
  • Football tracking data interpretation
  • Reproducible notebooks and visual communication

We haven't pulled tutorials, data or baselines from the official page yet; the task and the data are there.

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