STATISTICAL ANALYSIS OF IMPORTANT FACTORS AFFECTING PERFORMANCE IN FORMULA 1 RACING
Date of Award
1-2026
Document Type
Thesis
Degree Name
Bachelors
Department
Natural Sciences
First Advisor
Skripnikov, Andrey
Area of Concentration
Data Science
Abstract
The purpose of this thesis is to identify the primarily significant driving forces for the best lap performance around a circuit in the Formula One racing series. Included are the results across the 2021 to 2025 seasons when available for five of the more popular tracks, Monaco, Belgian, Abu Dhabi, Saudi Arabian, and British Grand Prix. This was achieved through aggregating the telemetry and weather data, into the intervals from the timing data available from the Python library FastF1[8, 1], and regressing the predictors including tire compound, throttle input, and braking input against sector performance in seconds to determine the impact of each predictor in a sector by sector level.
Recommended Citation
Holt, James, "STATISTICAL ANALYSIS OF IMPORTANT FACTORS AFFECTING PERFORMANCE IN FORMULA 1 RACING" (2026). Theses & ETDs. 6771.
https://digitalcommons.ncf.edu/theses_etds/6771