One stop changes the race.
Compare race strategies under the same simulation conditions.
Circuit, temperature, compounds and stops feed a pace and wear simulation. It combines available historical data, synthetic variables and simplified models. Independent project with no affiliation with Formula 1, the FIA or teams.
Connect tyre behavior to lap times and compare one-stop and two-stop strategies through understandable charts.
I participated in collaborative development and simulator adjustments, contributing to the integration of the strategy analysis and comparison experience.
Streamlit brings together controls and charts. An extractor retrieves FastF1 data and prepares datasets; a polynomial expansion, scaling and Ridge regression pipeline estimates times. EngineEstrategia integrates temperature and simulates stints; numerical utilities implement RKF45, Simpson, polynomial fitting and Newton-Raphson.
Extraction attempts to load sessions and telemetry through FastF1 with a local cache. The pipeline also generates synthetic samples and uses a fallback dataset when retrieval fails; circuit geometry can use a stylized layout.
Strategies share circuit, temperature and pit-time-loss conditions. The engine combines pace estimation with thermal evolution and wear to compare cumulative times and crossover points, without turning them into official predictions.
Telemetry availability and changing circuit conditions affect model inputs. Caching, synthetic data and fallback geometry support exploration. Wear curves and configurable parameters require results to be interpreted as simulator estimates.
The interface simulates and compares one-stop and two-stop strategies, replays circuit progress and shows pace, temperature, tyre life and cumulative differences. A methods panel explains the integrated calculations. These are simplified estimates, without validation for real racing decisions.
