![]() Photo by: Erik Junius The effect of COVIDĮven back in 2016, once we ventured outside Europe with our stats we were relying on what we call data hinges. The plethora of series that visit the same circuits worked as the starting point for data-gathering ![]() By the time we’d finished with the European-based series, we had thousands of figures to complete the job. There were therefore tons of useable data from Spa. But we’ve been careful not to compare those categories simply against F1 it’s important to make cross-comparisons between all of them, to maximise our confidence that our table is accurate. You might be thinking that last year’s Belgian GP washout means there is no possibility of any data being gathered from Spa. We were therefore able to gather reams of stats from all those predominantly single-seater and sportscar championships from these circuits. The prominent European-based categories tend to race at Barcelona, Paul Ricard, Red Bull Ring, Zandvoort, Monza and Spa – and, to a lesser extent, Hungaroring, Imola and Portimao. The first – and biggest – of what we might call data clusters comes from the well-used European circuits. We did the same with Ind圜ar and Super Formula, among others. Here, with F1’s multi-phase qualifying, it’s important to factor in the times from Q1 and Q2 in addition to the Q3 pole shootout. The first task was to take F1’s fastest qualifying times at each circuit from 2021. Therefore, it automatically assumes an index of 100.000, with everything else measured against that. There’s no question that it’s the fastest category in the world. So here’s our take on 2021… How did we do it? In 2016, we did our calculations based on data from the 2015 season. And how did all the other classes compare? Six years on, we thought it was time to do it again. Then this was overtaken by a genuine curiosity to find out where LMP1 stacked up against GP2, Ind圜ar and Japan’s Super Formula.
0 Comments
Leave a Reply. |