When I was contemplating investing in the Hit Trax System, I reviewed all of the cool features.  It shows where the ball goes on any Major League field, the gaming modules that allow for a more competitive atmosphere, the in depth analytics, and many more.  However, what got me to finally pull the trigger on the purchase was the ability to see quantifiable evidence of whether my instruction was working or not.  Finally, a system that would show whether certain techniques, drills and concepts were aiding in each player's progress.

Today, I want to share a case study of a 12 year old player that I started working with at the beginning of August.  

Check out the data below.  It shows the key metrics of swing performance from the first session on August 1 to the most recent session on September 14.  


If we look at the data, every category has improved significantly from the first session.  After the first session, I had real data that showed me what areas needed improvement.  In this case, the two biggest areas of weakness were line drive percentage and ball exit speed.  This data gave me a clear blueprint on how to progress this player.  We started with bat path drills that forced him to take an upward path to the ball to improve line drive and fly ball percentage.  These same drills helped him elevate the ball and start driving the ball to the outfield. 

From here, the data still shows that we need to continue to attack this players bat path because ground balls still make up the highest percentage of batted ball type.  However, since all of his numbers are trending in the right direction, we know that the prescription of drills and concepts is working.

Now this is an extreme example of how this data can help to improve a player's skills. Not every player will see this dramatic of an increase.  If I work with a college or pro player, chances are they aren't going to add 10 mph of ball exit speed over the course of  5 sessions.  In addition, there are sessions where we try something and the numbers don't improve or they go the wrong direction, but in these cases, I can see hard data that can steer training in a different direction.