Tag Archives: Formula 1
A new f1metrics model
Recently, I decided it was time to make some improvements to the f1metrics model. Modeling is usually an iterative process. A model is defined, its performance is evaluated, and the lessons learned are fed back into the model definition. This process can in theory go on forever. Models are (by definition) reduced abstractions of […]
2018 preseason analysis
With the wraps off the new halo-adorned cars, we launch into 2018. There are several major sources of intrigue at the dawn of the season. Can Renault, with three top-budget teams now in their ranks, take the fight to the Mercedes or Ferrari works teams? By what margin can 2018 cars exceed the already record-breaking […]
Do drivers influence mechanical reliability?
Car reliability has always played a central role in Formula 1 — an inevitable consequence of teams not wanting to leave any potential performance unexploited. Mechanical DNFs at inopportune times have decided numerous championships. Who can forget Mansell’s puncture at Adelaide 1986 or Hamilton’s shock engine failure at Malaysia 2016? Many of the sport’s most […]
2017 Preseason analysis
2017 marks one of the largest changes in the history of Formula 1. Not since 1966, when engine sizes were doubled, have the sport’s rule-makers introduced full-format changes with the primary intent of making the cars faster and more exciting. Instead, we have become accustomed to changes designed to curb speeds and improve safety, which […]
Experts versus models: How do we rank drivers?
Who was a greater Formula 1 driver: Nigel Mansell or Elio de Angelis? Expert panels have uniformly selected Mansell. Raw statistics of success — wins, championships, and the like — also clearly favor Mansell. Yet, every mathematical model of driver rankings developed to date resoundingly answers de Angelis. Examining the data table below helps to […]
2016 Preseason Form Guide
With testing finished, I continued my earlier analysis to form a clearer picture of the team hierarchy as we go to Melbourne. This time I have taken both tyre degradation and fuel loads into account. Making predictions in F1 is extremely difficult, as I found out in a previous analysis of F1 economics. Nevertheless, I think there are significant insights to […]
First look at the 2016 cars
I was as excited as anyone to see the 2016 cars hit the track in Barcelona. After a winter of boasts from Ferrari, Renault, and Honda about the progress they have made, we finally have a chance to properly assess where they all stand. Often we are told that “testing times are meaningless”, but it’s important to […]