Why focus on tracking data?
Although racetracks are making progress in terms of monitoring systems, the interpretation of this data is not always evident. What defines a good time? How will this knowledge be applied in the morning’s work? Having good keys to interpreting this speed data allows for a more accurate analysis of speed skills.
This week, we’ll talk about the speed markers to look at in order to identify outstanding skills. Here are the average chronometer values for all racing categories combined (Deauville, Longchamp, Chantilly, and St Cloud racecourses).
These values are simply parameters to be kept in mind and should be adjusted based on the horse’s age, training progress, and the surface on which he is running the course.
Here are the results of the first speed work for two-year-olds. Using the reference points mentioned above, we may infer that these three foals show promising speed abilities to perform in races, with Arioneo appearing to be the fastest.
To find out how these youngsters have handled this first job, it will be interesting to analyse their recovery in our next data analyze!
Key words: tracking, data, speed marker