How To Understand And Apply SwingTracker Data To Your Swing

PITTSBURGH – Throughout the swing, SwingTracker captures data – lots of data. 11,000 data points per second to be exact.

All this information is then sent from the sensor to the mobile and web apps, giving you an abundant array of information that you can use, analyze and interpret relative to your swing.

But what exactly does all that information mean? And how does one apply it all to their swing?

While it can seem overwhelming at first, all this information is there to help. You just have to know where to look, what to look for and then when you find it, understand what that means.

For today’s post we will examine the SwingTracker mobile app.

Let’s explore…

Here we see multiple images from the mobile app of a swing taken by a SwingTracker user.


The first image in the sequence is the user’s overall score (6.2) from the first swing in that particular swing session (this is why we see ‘Swing 01’ at the top).

The 6.2 overall score number comes from the average of his Power, Speed, Quickness and Control scores. As we can see, his Power score was 4.7, his Speed score was 6.3, his Quickness score was 7.0 and his Control score was 6.6.

These numbers are calculated by measuring this particular swing against all other SwingTracker swings that have been taken at the Collegiate skill level (as we can see at the bottom).

Furthermore, this is what gives each of the diamonds their shape within the static, large white diamond. The green diamond is the swing taken by this user, while the brown diamond is the average for all the collegiate users.

By examining the shape of the green diamond relative to the brown diamond, we can see this user has both Quickness and Control scores that are well above average, a Speed score that is above average and a Power score that is right at average or just below.

You can use this feature as a measuring stick to see how you measure up against your peers. Each of the nine skill levels in the SwingTracker database (Professional, Collegiate, Collegiate Softball, High School, High School Softball, Junior Varsity, Junior High, Youth and Adult Rec).

Next we see the 3D image of this user’s swing. You can find the 3D image by touching the bottom right corner of the screen to pull up the 3D viewing option.

From the 3D view you can look at your swing from multiple angles, you can see the exact plane the bat took to the ball, you can see the exact impact point and you can see the distance the bat traveled in the hitting zone.

In addition to being able to view a 3D rendering of your swing, there is also a chart at the bottom that shows you precisely what your bat speed (green line) and hand speed (brown line) are at each moment during the swing.

And finally, the third image in this sequence is an image of a video that has been taken of this user’s swing, within the app. The video view in the app allows you to see your swing in real-time and see how your body motion links to key speed metrics (such as hand speed and bat speed) at every point in the swing.

Overall, each of these views allows you to examine your swing in an ‘overall sense’. When combined with the easy-to-understand graphs and charts of the specific swing metrics, the user can see the complex dynamics of the swing even more and get a complete analysis of their swing.

Now, let’s move on to the core metrics and understand what those mean.

Below we see each of the 11 core metrics within each four components. For Power, we have Applied PowerMaximum Acceleration and Impact Momentum. For Speed we have Max Hand Speed, Max Barrel Speed, Speed Efficiency and Forward Bat Speed. For Quickness we have Trigger To Impact Time and for Control, we have Distance In The Zone, Hand Cast Distance and Approach Angle At Impact.

JustinPower JustinSpeed JustinQuickness JustinControl

Each of these metrics allows you to key in on a specific part of the swing that needs improvement.

As we noted above, this user’s Power scores were at average, or slightly below average for the Collegiate skill level.

Here, we can see this spelled out in front of us.

The Applied Power scores of 866 watts and 777 watts are each below the Collegiate Average of 978 watts. While Max Acceleration and Impact Momentum also factor into the overall score, we can see with our Applied Power example how one part of the score is calculated.

We also made mention of how his Quickness score was well above average. Here we can see that his Trigger To Impact Time of 182 milliseconds puts him a notch above the cut-off for what constitutes a Trigger To Impact Score that places in the Top 20% of all Collegiate SwingTracker Users – 148 milliseconds.

Each metric has this data in order to compare your swing to your peers even further beyond the average score.

And finally here is a video of the swing below, taken independently from the app. Look at this swing and then look at the numbers and images above to see how this swing looks to the eye and then how that translates into raw, hard data. Next we will take a look at DiamondCLUB and how you can use and apply that data to your swing.