In this paper we aim at describing the Formula 1 team and driver performances, during a
particular race, using a suitable generalized additive model for the representation of lap time
evolution. Although the modeling of Formula 1 races is an extremely complicated task, our
model gives a rather flexible specification of the lap times as a function of some relevant numeric
and categorical predictor variables. We fit the model using the freely available data regarding
the Formula 1 season 2015 and we find that, for a grand prix without unpredictable events such
as safety car, virtual safety car or race suspension, the model provides an accurate description of
the race development. Moreover, it can be fruitfully considered for specifying alternative race
strategies, with particular regard to the pit stop choices.
