5 citations · 5 across the 3 of their papers we have counts for
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stat.AP2026
Benchmarking Formula 1 results using a normal model
John Fry, Silvio Fanzon, Mark Austin +1
There is enduring interest in disentangling the effects of skill and luck in sport. A key issue in Formula 1 is distinguishing between car-level and driver-level effects. Four elit…
stat.AP2024
Elementary econometric and strategic analysis of curling matches
John Fry, Mark Austin, Silvio Fanzon
We develop a Markov model of curling matches, parametrised by the probability of winning an end and the probability distribution of scoring ends. In practical applications, these e…
stat.AP2023★ 5 cited
Faster identification of faster Formula 1 drivers via time-rank duality
John Fry, Tom Brighton, Silvio Fanzon
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 l…