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Formula 1: Analytics behind the tracks to the podium

Formula 1: Analytics behind the tracks to the podium

Name:
Piyush Lashkare

Department:
Marketing

Abstract:
SPEED, POWER, INNOVATION, PERFORMANCE, FACTS, and STATISTICS are the words that distinguish Formula 1 racing, also known as “The Pinnacle of Motor Sport”. It generates yearly income of 1.2 billion dollars and involve many teams competing with their roaring turbocharged engines for the spectators. With an average team’s budget of 300 million dollars, teams need not only show their engineering excellence but also a winning strategy. During a race, most drivers have an average heartbeat of 170 per minute, cars often go past a maximum speed of 150mph and a difference of milliseconds separate winners and losers. These characteristics make it different from most other sports.
Today, Formula 1 racing is not only about flawless aerodynamics and legendary driving but is also fueled by DATA to accelerate the analysis. Currently, we have extracted the data for the entire 2011 Monaco Grand Prix race for all the sessions (FP1, FP2, FP3, Qualifying, and Final) for all the constructors’ teams. Here, we have planned to analyze the data to create a set of models, which would illustrate the significant attributes such as track conditions, tire types, fuel lap time, pit stops, stint length to predict a probable position of a driver in the final standing charts.

This model will predict the following-
-The probability of a driver taking the pole position and how it effects results
-What would the probable race completion position on the particular circuit
-Did pit stop timings really made a difference in winning
-Maximizing constructors points for a team
-Effect of tire compound with speed