Tag Archives: mathematical model

2019 f1metrics end of season report

With the 2020 season making a very late start, due to COVID-19, it seems apposite to finally release this belated 2019 analysis. If the sport can pick up and continue under such difficult conditions, this blog surely can too. To those who requested this much earlier, I am sorry for the delay. Life got in […]

The f1metrics top 100

Who was the greatest F1 driver of all time? It is an endlessly debated question amongst fans and pundits alike. If the only aspect we care about is the number of titles or grand prix wins, then the answer is straightforward. Yet, as F1 fans, we recognize that the question is far more complicated. F1 […]

2017 f1metrics end of season report

The 2017 Formula 1 season will be long remembered and debated. Could Vettel have stayed in championship contention with better reliability or fewer driver errors in the critical stages, or was the Mercedes advantage too much for Vettel or any driver to bridge? Is this a step on the road to recovery for Ferrari, or […]

2015 model-based driver rankings

Last year, I presented model-based rankings for all the 2014 season drivers. These rankings are derived from a mathematical model, described here, that statistically estimates the strength of driver and team performances in each year, as well as overall career performances for drivers. It achieves this by finding the best fit to all race result […]

2014 model-based driver rankings

2014 was a year completely dominated by the Mercedes team, with the barest sniff of the title for Ricciardo. But who would have won the title if all cars had been equal? Were the Mercedes drivers the year’s best performers, or would other drivers have looked even better behind the wheel of a Mercedes? That’s […]