Each season, the Grand Prix Scout team provides in-depth analysis on riders, teams and of course, the circuits! The team has bridged the gap between rider and circuit stats by drawing parallels between the two in order to round out both sides of analysis and paint a more detailed scene for each GP.
Although the “Circuit Stats” pages are currently under development for the upcoming 2020 season, the team thought it would be beneficial to outline the analytical tools used to profile each unique circuit. So here is what you can find on any given circuit profile…
Less analytical and more summary, the general intro allows you to gain a big picture understanding of each circuit with total length, breakdown of corners and elevation change. In addition, we provide a full map that outlines the circuit.
Average Net Predator/Prey Movement Index
Then begins the fun… Next you will find the average net predatory/prey movement as a numerical value as well as a rank against all other circuits. This (new) index tracks the total average movement between the flags for each race 2015 – 2019. Total average movement refers to the rate of passing between riders from start to finish. A circuit with a high index indicates frequent passing and change in rider position from one lap to the next.
From this, we can infer that a circuit with a high net movement index is a more difficult circuit that holds less manufacturer advantage and rewards individual rider skill. For a complete average new movement circuit ranking list, click here!
The remaining material is broken down by sector. For each sector, we provide the “Sector Technicality,” sector map, top historically ranked riders and the top 3 most similarity ranked sectors pulled from all other circuits.
Each circuit is broken down into 4 sectors and each sector has unique characteristics that affect road racing in different ways. We fuse these characteristics into a single quantitative value that allows us to present each sector in a ranked order. The sector technicality scale ranges from 0 to 4 with 0 being the least technical and 4 being the most.
The technicality indexes are unique to a circuit, meaning they allow you to compare all four sectors within any given circuit but not sectors from varying circuits.
Top Riders Ranked By Historical Combined Index
Pulled from our unique rider indexing system, the Historical Combined Index takes into account the 2015 – 2019 seasons and identifies the strongest rider on each sector. The combined index reflects a rider’s historical speed index handicapped by their consistency index. To learn more about Grand Prix Scout’s indexing systems, click here.
Top 3 Most Similarly Ranked Sectors
As you may know, there are 20 circuits currently in the MotoGP series which means there are 80 sectors of study. Each circuit is broken down into 4 sectors and many of these sectors share similarities that are deeper than the eye can detect. With the sector clustering system, we are able to identify similarities and differences across all 80 sectors.
So aside from the technicality index, we also provide a “top 3 most similarly ranked” sector list. The sector clustering system allows you to compare rider performance to a whole new variable that encompasses every single sector in the series.
With the top 3 sectors, we also provide the top ranked riders for the #1 most similarly ranked sectors. Same as before, riders are ranked by historical combined index.
Our goal is to present a well-rounded library that encompasses some of the most important and influential components that impact race day. By cross-referencing the circuit stats with climate analysis and historical rider performance, viewers are able to dive into the series on a whole new level with new information to supplement other media sources. We are not here to replace any one data source but instead to offer unique, supplementary information to round out riders, teams and circuits.