  Two natural ways of modelling Formula 1 race outcomes are a probabilistic
approach, based on the exponential distribution, and econometric modelling of
the ranks. Both approaches lead to exactly soluble race-winning probabilities.
Equating race-winning probabilities leads to a set of equivalent
parametrisations. This time-rank duality is attractive theoretically and leads
to quicker ways of dis-entangling driver and car level effects.
