As of 2025, Lewis Hamilton held the record for the most podium finishes, with a total of more than 200. Meanwhile, Michael Schumacher ranked second with 155 podiums.

As of 2025, Ferrari held the record for the most podium finishes, with a total of more than ***. Meanwhile, McLaren and Williams ranked second and third respectively.

As of 2025, Lewis Hamilton had won more Grands Prix than any other driver, with a total of over 100. Meanwhile, the constructor with the most race wins was Ferrari.

Formula 1 Comprehensive Dataset (2020-2025)

Dataset Description This comprehensive Formula 1 dataset contains detailed racing data spanning from 2020 to 2025, including race results, qualifying sessions, championship standings, circuit information, and historical driver statistics.

Perfect for:

📊 F1 performance analysis

🤖 Machine learning projects

📈 Data visualization

🏆 Championship predictions

📋 Racing statistics research

📁 Files Included 1. f1_race_results_2020_2025.csv (53 entries) Race winners and results from Grand Prix weekends

Date, Grand Prix name, race winner

Constructor, nationality, grid position

Race time, fastest lap time, points scored

1. f1_qualifying_results_2020_2024.csv (820 entries) Qualifying session results with timing data

Q1, Q2, Q3 session times

Grid positions, laps completed

Driver and constructor information

1. f1_driver_standings_progressive.csv (600 entries) Championship standings progression throughout seasons

Points accumulation over race weekends

Wins, podiums, pole positions tracking

Season-long championship battle data

1. f1_constructor_standings_progressive.csv (360 entries) Team championship standings evolution

Constructor points and wins

Team performance metrics

Manufacturer rivalry data

1. f1_circuits_technical_data.csv (24 entries) Technical specifications for all F1 circuits

Track length, number of turns

Lap records and record holders

Circuit designers and first F1 usage

1. f1_historical_driver_statistics.csv (30 entries) All-time career statistics for F1 drivers

Career wins, poles, podiums

Racing entries and achievements

Active and retired driver records

1. f1_comprehensive_dataset_2020_2025.csv (432 entries) MAIN DATASET - Combined data from all sources

Multiple data types in one file

Ready for immediate analysis

Comprehensive F1 information hub

🔧 Data Features Clean & Structured: All data professionally format

Context

Formula One is the highest class of international racing for open-wheel single-seater racing cars sanctioned by the Fédération Internationale de l'Automobile (FIA). Ever since its inaugural season in 1950, Formula1 has been regarded as the pinnacle of motorsport.

Content

This dataset contains detailed information about qualifying and race results for all the tracks over the course of multiple seasons. There is a separate directory for each season. There are 2 sub-directories for each season, namely: Qualifying Results and Race Results. The Race Results directory contains an overall_race_results.csv file which summarizes the race results throughout the entire season. It also contains multiple .csv files for the results of each race in the season. The Qualifying Results directory contains multiple .csv files for the qualifying results before the start of each race.

Note

For the 1982 season and before the qualifying results contain only 1 entry in the file which is that of the polesitter. The lap times of the other drivers were not accounted for, and on the official website there is only 1 entry under the qualifying results.

Inspiration

F1 is one of my favorite sports and I almost never miss a race 😄

The motivation behind creating this dataset was to learn more about web scraping and try to perform a statistical analysis of the data. Some of the things you could do with the entire dataset are as follows: - Identify the driver with the most poles - Compare qualifying times of different drivers (championship contenders, team-mates, etc) - Determine how often a particular driver out-qualifies his team-mate - Compare qualifying lap times of a race from previous seasons - Identify the driver with the most number of wins at a particular track - Analyze how the championship battle unfolded based on the number of points scored by the drivers (specially interesting for the 2021 f1 season 👀) - Identify drivers with the highest number of wins, podiums, DNFs, etc - Compare the average lap times of different tracks to identify the slowest and fastest tracks on the calendar - Compare the number of laps for each race in the season (Belgium 2021 being the clear winner 😂) - Find out who won the Driver's Championship based on the total number of points - Find out who won the Constructor's Championship based on the total number of points for each team

Some Common F1 Terms You Might Come Across

• DNF: Did Not Finish. Commonly used nomenclature for drivers that crashed/failed to complete the entire race
• DNQ: Did Not Qualify. Eliminated missing values from the qualifying datasets by introducing this abbreviation for drivers who failed to qualify.
• NC: Not Confirmed. For drivers that DNF the term NC is used in the Position column
• DQ: Disqualified. Generally drivers are disqualified from races due to technical infringements or a breach of sporting regulations (Example: Sebastian Vettel was disqualified from the 2021 Hungarian Grand Prix due to fuel irregularites and stripped of all the points he earned from finishing the race in P2)

Future Work

As I collect more data for the previous seasons, I will create new versions for the dataset. The goal with this dataset is to create an archive of qualifying and race data from 1950-2021. The dataset will also be updated when the 2022 season commences.

This dataset about F1 Podiums history is extracted from Flourish visualisation. If you want to know more about Flourish click here.

As of 2025, Lewis Hamilton and Michael Schumacher had the joint-most World Championship titles, with ***** each. Meanwhile, the constructor with the most World Championship titles was Ferrari.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F18335022%2Ff10720cabaa8ea7568c73b26c1b2a6d2%2FScreenshot%202025-04-07%20213220.png?generation=1744116657962022&alt=media" alt="">

Context

The Japanese Grand Prix is a motor racing event in the calendar of the Formula One World Championship.

The dataset was generated using the FastF1 API by loading the Japanese Grand Prix race session (denoted as "R") for the 2025 season. Instead of directly accessing a dedicated pit stop attribute (which might not exist in some versions of the API), the data is obtained by filtering the laps data to identify laps that include pit stop times. This approach leverages the 'PitOutTime' field to capture when pit stops occurred during the race.

The context of this data is rooted in understanding the in-race strategies related to pit stops, which can greatly influence race outcomes. Teams and analysts use such information to assess the efficiency of pit stop timings and their impact on overall performance.

Circuit length: 5.807 km (3.608 miles)

First held: 1963

Laps: 53

Most wins (constructors): McLaren (9)

Most wins (drivers): Michael Schumacher (6)

Number of times held: 50

Content

The dataset consists of all information on the Formula 1 Japanese Grand Prix 2025, drivers, constructors, qualifying, lap times, and pit stops.

Time period: 4 - 6 April 2025

Acknowledgements

The data is fetched using Fast F1 Package.

Inspiration to Use This Dataset

Unlock strategic insights and race trends from the Japanese Grand Prix to fuel your data analysis, visual storytelling, or predictive modeling in motorsport analytics.

"Racing is life. Anything before or after is just waiting." – Steve McQueen

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F18335022%2Fb4411127cf9ae6df2b503fd67fb8099d%2FScreenshot%202025-04-07%20213245.png?generation=1744116687810902&alt=media" alt="">

As of 2025, Ferrari had more Grand Prix wins than any other team, with an all-time total of over 240. McLaren and Mercedes ranked in second and third place respectively.

This dataset provides a detailed overview of the most successful Formula 1 drivers based on the number of wins they achieved in Grand Prix races. It includes a comprehensive list of drivers, their nationalities, the period during which they were active, and their participation and win statistics, along with win percentages. The data was sourced from the French Wikipedia page for Formula 1 drivers' rankings, which offers more detailed information than the English version.

You can check my web scrapping notebook in Code.

This dataset can be used for:

Exploratory Data Analysis (EDA): Analyze the distribution of wins, participation rates, and driver nationalities. Predictive Modeling: Predicting the likelihood of winning races based on historical data. Sports Analytics: Conduct detailed analyses on the evolution of drivers’ performances over time and across different F1 seasons.

An excel file containing the following on the seasons 1998 to 2021: -Personal stats of drivers (championship finishes, wins/season, total wins, podiums, points, fastest laps and pole positions) -Championship stats (drivers and teams, with colours, and their championship positions at the end of each season) -Table with the wins per circuit per year (also with colours) and the wins per team per year

This dataset was mainly made for fun / nice looking visualization so first open it in excel to see the colours as well. If you want to use it for more complex purposes, I would recommend to do some data-prepping

            Formula 1 - Belgian, Hungarian, Dutch Grand Prixes 

Context

Belgian Grand Prix

The Belgian Grand Prix is a motor racing event which forms part of the Formula One World Championship. The first national race of Belgium was held in 1925 at the Spa region's race course, an area of the country that had been associated with motor sport since the very early years of racing.

• Circuit length: 7.004 km (4.352 miles)

• First held: 1925

• Laps: 44

• Most wins (constructors): Ferrari (18)

• Most wins (drivers): Michael Schumacher (6)

• Number of times held: 81

Hungarian Grand Prix

The Hungarian Grand Prix is a motor racing event held annually at the Hungaroring racetrack located on the northeastern outskirts of Budapest, within the village of Mogyoród.

• Circuit length: 4.381 km (2.722 miles)

• First held: 1936

• Laps: 70

• Most wins (constructors): McLaren (13)

• Most wins (drivers): Lewis Hamilton (8)

• Number of times held: 41

Dutch Grand Prix

The Dutch Grand Prix is an annual Formula One World Championship auto racing event, held at Circuit Zandvoort, North Holland, the Netherlands, from 1950 through 1985, and after a 35 year hiatus, from 2021 to 2026.

Circuit length: 4.259 km (2.646 miles)

• First held: 1950

• Laps: 72

• Most wins (constructors): Ferrari (8)

• Most wins (drivers): Jim Clark (4)

• Number of times held: 36

Circuits

Spa-Francorchamps

Hungaroring

Circuit Zandvoort

Content

The dataset consists of all information on the Formula 1 Canada, Austria and UK Grand Prixes 2025, drivers, constructors, qualifying, lap times, and pit stops.

• Time period: July - August 2025

Acknowledgements

The data is fetched using Fast F1 Package.

Inspiration to Use This Dataset

This dataset offers a unique opportunity to explore three historic and technically diverse circuits—Spa’s high-speed drama, Hungaroring’s tight and twisty layout, and Zandvoort’s fast, flowing corners. By analyzing drivers, constructors, lap times, and strategies, you can uncover patterns that shaped the 2025 season and build predictive insights for future races.

"To finish first, you must first finish." – Juan Manuel Fangio

            Formula 1 - Italian, Monaco, Spain Grand Prixes 2025

Context

Italian Grand Prix

The Italian Grand Prix is the fifth oldest national motor racing Grand Prix, having been held since 1921. Since 2013, the Grand Prix has been held the most times, with 94 editions as of 2024 - Next date: Sunday, June 29, 2025

• Circuit length: 5.793 km (3.600 miles)

• First held: 1921

• Laps: 53

• Most wins (constructors): Ferrari (21)

• Number of times held: 94

Monaco Grand Prix

The Monaco Grand Prix is a Formula One motor racing event held annually on the Circuit de Monaco, in late May or early June.

• Circuit length: 3.337 km (2.074 miles)

• First held: 1929

• Laps: 78

• Most wins (constructors): McLaren (16)

• Most wins (drivers): Ayrton Senna (6)

• Number of times held: 82

Spanish Grand Prix

The Spanish Grand Prix is a Formula One motor racing event currently held at the Circuit de Barcelona-Catalunya. The race is one of the oldest in the world still contested, celebrating its centenary in 2013. The race had modest beginnings as a production car race.

• Circuit length: 4.657 km (2.894 miles)

• First held: 1913

• Laps: 66

• Most wins (constructors): Ferrari (12)

Circuits

• Autodromo Nazionale Monza

• Circuit de Monaco

• Circuit de Barcelona-Catalunya

Content

The dataset consists of all information on the Formula 1 Italian, Monaco and Spain Grand Prixes 2025, drivers, constructors, qualifying, lap times, and pit stops.

• Time period: May - June 2025

Acknowledgements

The data is fetched using Fast F1 Package.

Inspiration to Use This Dataset

Explore the heart of European racing by analyzing three iconic circuits—Monza’s speed, Monaco’s precision, and Spain’s technical complexity. This data is ideal for understanding racecraft, qualifying patterns, and evolving team strategies in the 2025 season.

"In racing, there are always things you can learn – every single day." – Sebastian Vettel

Context

The Chinese Grand Prix is a round of the Formula One World Championship. The event was held every year from 2004 until 2019 before it was suspended from 2020 to 2023 due to the COVID-19 pandemic in China. The event resumed in 2024 and is contracted to be held until 2030.

The dataset was generated using the FastF1 API by loading the Chinese Grand Prix race session (denoted as "R") for the 2025 season. Instead of directly accessing a dedicated pit stop attribute (which might not exist in some versions of the API), the data is obtained by filtering the laps data to identify laps that include pit stop times. This approach leverages the 'PitOutTime' field to capture when pit stops occurred during the race.

The context of this data is rooted in understanding the in-race strategies related to pit stops, which can greatly influence race outcomes. Teams and analysts use such information to assess the efficiency of pit stop timings and their impact on overall performance.

Circuit length: 5.451 km (3.387 miles)

First held: 2004

Laps: 56

Most wins (constructors): Mercedes (6)

Most wins (drivers): Lewis Hamilton (6)

Number of times held: 18

Content

The dataset consists of all information on the Formula 1 Chinese Grand Prix 2025, drivers, constructors, qualifying, circuits, lap times, and pit stops.

Time period: 21 - 23 March 2025

Acknowledgements

The data is fetched using Fast F1 Package.

Inspiration

This dataset allows F1 enthusiasts, analysts, and data scientists to explore race strategies, driver performance, and historical trends in the Chinese Grand Prix. By analyzing pit stops, lap times, and standings, you can uncover patterns that influence race outcomes and even build predictive models for future races.

"To achieve anything in this game, you must be prepared to dabble on the boundary of disaster." – Stirling Moss

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F18335022%2F8d74776fc165ba825e4ce3c140a6d429%2FScreenshot%202025-03-25%20163857.png?generation=1742902784907984&alt=media" alt="">

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F18335022%2F76fa42441e6edaf5e1106a66130b0707%2FScreenshot%202025-03-25%20163922.png?generation=1742902799341200&alt=media" alt="">

            Formula 1 - Canada | Austria | UK Grand Prixes 2025

Context

Canada Grand Prix

The Canadian Grand Prix is an annual motor racing event held since 1961. It has been part of the Formula One World Championship since 1967.

• Circuit length: 4.361 km (2.709 miles)

• First held: 1961

• Laps: 70

• Most wins (constructors): Ferrari (14)

• Number of times held: 60

Austria Grand Prix

he Austrian Grand Prix is a Fédération Internationale de l'Automobile sanctioned motor racing event that was held in 1964, 1970–1987, and 1997–2003. It returned to the Formula One calendar in 2014, where it has remained since. It was first held at the Zeltweg Air Base for its first, non-Championship running.

• Circuit length: 4.326 km (2.688 miles)

• First held: 1963

• Laps: 71

• Most wins (drivers): Max Verstappen (4)

• Number of times held: 44

UK Grand Prix

The British Grand Prix is a Grand Prix motor racing event organised in the United Kingdom by Motorsport UK. First held by the Royal Automobile Club in 1926, the British Grand Prix has been held annually since 1948 and has been a round of the FIA Formula One World Championship every year since 1950.

• Circuit length: 5.891 km (3.66 miles)

• First held: 1926

• Laps: 52

• Most wins (constructors): Ferrari (18)

• Most wins (drivers): Lewis Hamilton (9)

• Number of times held: 80

Circuits

• Circuit Gilles-Villeneuve

• Red Bull Ring

• Silverstone Circuit

Content

The dataset consists of all information on the Formula 1 Canada, Austria and UK Grand Prixes 2025, drivers, constructors, qualifying, lap times, and pit stops.

• Time period: June - July 2025

Acknowledgements

The data is fetched using Fast F1 Package.

Inspiration to Use This Dataset

Dive into the 2025 season's most thrilling races to analyze driver performance, team strategies, and circuit dynamics. This dataset is perfect for building comparative insights, lap-time visualizations, and predictive models across diverse tracks and conditions.

"It’s not always the fastest car that wins, it’s the driver who refuses to lose." – Dale Earnhardt Jr.

Context

This dataset contains details of 2022 F1 schedule. The dataset will be updated after every race.

Content

+23 rows and 13 columns. Columns' description are listed below.

• Round : Round number
• Circuit : Name of the circuit
• Location : Location of the circuit
• Date : Race date
• Circuit Length (km) : Length of the circuit in kilometers
• Laps : Number of laps
• Race Length (km) : Race length in kilometers
• Most Wins (driver - times) : Driver with most wins at the circuit
• 2021 Pole Position : Pole position starter in 2021
• 2021 Winner : P1 finisher in 2021
• 2021 Second Place : P2 finisher in 2021
• 2021 Third Place : P3 finisher in 2021
• 2021 Fastest Lap (driver - time) : Fastest driver and his lap time in 2021

Acknowledgements

Data from Wikipedia. Image from Marca.

If you're reading this, please upvote.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F14466026%2F49816493df89627d196532b767eeff16%2Fa.jpg?generation=1746654444817618&alt=media" alt=""> Context The Bahrain Grand Prix is a motor racing event in the calendar of the Formula One World Championship.

The dataset was generated using the FastF1 API by loading the Bahrain Grand Prix race session for the 2025 season. Instead of directly accessing a dedicated pit stop attribute (which might not exist in some versions of the API), the data is obtained by filtering the laps data to identify laps that include pit stop times. This approach leverages the 'PitOutTime' field to capture when pit stops occurred during the race.

The context of this data is rooted in understanding the in-race strategies related to pit stops, which can greatly influence race outcomes. Teams and analysts use such information to assess the efficiency of pit stop timings and their impact on overall performance.

Circuit length: 5.412 kilometers (3.363 miles)

Laps: 57

Most wins (constructors): McLaren (194)

Most wins (drivers): Oscar Piastri

Number of times held: 21

Content The dataset consists of all information on the Formula 1 Bahrain Grand Prix 2025, drivers, constructors, qualifying, lap times, and pit stops.

Time period: 11 - 13 April 2025

Acknowledgements The data is fetched using Fast F1 Package.

Inspiration to Use This Dataset Unlock strategic insights and race trends from the Japanese Grand Prix to fuel your data analysis, visual storytelling, or predictive modeling in motorsport analytics.

"Racing is life. Anything before or after is just waiting." – Steve McQueen