Kentucky Derby Algorithm Lab

Race to the Best Algorithm

Test, compare, and rank statistical models against a field of fictional thoroughbreds. May the best formula finish first.

Analytics Built for the Backstretch

Upload your algorithm, feed it the field, and watch the results come in at the wire.

📊

Algorithm Testing

Run multiple stat models side-by-side against the same fictional horse dataset. See which formula predicts the winner.

🐎

Fictional Field Generator

A full 20-horse Derby field with randomized but statistically coherent attributes — speed figures, workouts, bloodlines, and more.

🏆

Head-to-Head Comparison

Benchmark your algorithm against built-in baseline models and see where it wins or loses across hundreds of simulated races.

🔬

Stat Deep Dives

Drill into individual horse profiles and see exactly how each variable — pace, class, distance preference — affects your model's output.

From Paddock to Podium

1

Define Your Algorithm

Register a stat formula using our parameter builder — weight speed figures, class ratings, pace metrics, and more.

2

Generate the Field

Pull a randomized 20-horse Derby field or use a saved dataset. Every horse has a full statistical profile.

3

Run the Race

Apply your algorithm to the field, generate probability rankings, and run thousands of simulated outcomes.

4

Analyze the Results

Compare your predictions against simulated results, iterate on your weights, and find the winning formula.

Ready to Post?

Sign in to start building algorithms and running your first simulated Derby field.

Sign In to Jockey