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High-Detail F1 Performance Telemetry
Data Science and Analytics
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About
This collection brings together detailed race performance metrics from the Formula 1 seasons spanning 2018 through to 2024. The data provides valuable insights into crucial elements of race strategy, including pit stop efficiency, lap times, stint dynamics, and environmental factors such as weather conditions and track temperature. It incorporates metrics designed specifically for evaluating strategic shifts and quantifying driver aggression levels in top-tier motorsport.
Columns
The dataset includes 30 distinct columns, detailing various aspects of the race:
- Season: The specific year of the Formula 1 season.
- Round: The sequential number of the race within a given season.
- Circuit: The name of the circuit where the event was held.
- Driver: The name of the racing driver, including abbreviations (e.g., VER).
- Constructor: The name of the team or constructor participating in the race.
- Laps: The total number of laps recorded.
- Position: The final position achieved by the driver.
- TotalPitStops: The count of pit stops taken by a driver during the race.
- AvgPitStopTime: The average time spent by the car during a pit stop.
- Air_Temp_C & Track_Temp_C: Ambient air and track surface temperatures, measured in Celsius.
- Humidity_% & Wind_Speed_KMH: Meteorological data covering humidity percentage and wind speed in kilometres per hour.
- Stint Length: The duration, measured in laps, of a specific tyre stint.
- Tire Compound: Details the type of tyre compound utilised (e.g., MEDIUM, HARD).
- Driver Aggression Score: A calculated metric reflecting the level of aggression exhibited by the driver.
Distribution
The data is typically structured as a single flat file suitable for analysis, specifically named
f1_pitstops_2018_2024.csv. This file has a size of 2.26 MB and contains 30 columns. Key metrics, such as Season and Round, have records totalling 7,374 valid entries. The structure is well-suited for processing and querying data points related to individual drivers and races.Usage
This resource is highly beneficial for advanced analysis within motorsport. Ideal applications include:
- Building predictive models to forecast race outcomes.
- Evaluating and benchmarking different team pit strategies.
- Gaining a deep understanding of tire wear and optimal stint dynamics.
- Creating detailed, data-driven visual dashboards for race analysis.
Coverage
The dataset covers the Formula 1 world championship seasons spanning seven years, from 2018 through to 2024. The data encompasses numerous global circuits, locations, and countries. Detailed environmental data, including air and track temperatures, is available for the majority of the covered races. The expected update frequency for this dataset is annually.
License
Attribution-NonCommercial 4.0 International license (CC BY-NC 4.0).
Who Can Use It
The dataset is intended for a variety of users interested in high-level sports analytics:
- Data scientists for developing sophisticated statistical models.
- Machine learning practitioners requiring structured data on competitive strategy and performance.
- Motorsport enthusiasts keen to dive into granular details on pit stop performance and driver behaviour.
- Analysts focused on exploratory data analysis and feature extraction within the sports domain.
Dataset Name Suggestions
- F1 Pit Strategy and Stint Data (2018-2024)
- Formula 1 Race Metrics and Aggression Scores
- High-Detail F1 Performance Telemetry
- F1 Stint Data with Aggression Scores
Attributes
Original Data Source: High-Detail F1 Performance Telemetry
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