data-box.io is a site for motorsport, data science and artificial intelligence enthusiasts. We use real race data to show how data analysis can be applied — inside and outside Formula 1.
We turn race data into navigable insights. The same logic used by a Formula 1 team applies to products, finance, healthcare and logistics.
Each section shows a type of analysis: descriptive (what happened), diagnostic (why it happened), and predictive (what will happen).
Prediction models based on relative scoring, recent form, circuit characteristics and safety car probability.
Formula 1 telemetry is one of the richest real-time data use cases in the world. A 2026 car has around 300 sensors generating data at up to 1,200 measurements per second — tyre temperature, pressure, battery usage, steering angle and G-forces.
As Head of Data, you would use this information to: optimise pit stop strategy in real time, predict tyre degradation per lap, model battery usage per sector, detect engine issues before they happen, and compare driver performance with the ideal lap model.
This site applies equivalent principles with public data — showing that the same methods work for any company that wants to extract value from its operational data.
Results, final positions, gaps, lap times — what happened. Data verified by multiple sources.
Tyre strategy, outliers, position changes — why it happened. Root causes: VSC timing, ERS drain, strategic errors.
ELO + recent form + circuit + SC probability — what will happen. Educational model based on public data.