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SRT (cont..)

We found it impossible to measure a take because a take doesn't produce a measurable physical action. A value can't be placed on something that doesn't occur. Through basic science we determined that measuring swings only regardless of the pitch count gave us tremendous insights into how the brain was seeing space and responding to it. Its important to note that we aren't interested in the spin or angle of the ball as much as we are the space it is traveling through.

We purposefully avoided the traditional focus on the ball approach. Changing the size and color of the ball or putting numbers on them doesn't improve a hitters eye sight or ability to see the ball better. Those drills have been tried for years with no quantifiable game day results. Our main focus is on what the ball is passing through. More precisely, internal neurological space as opposed to exterior visible light. Launch angles, swing mechanics, pitch counts and mental approaches aren't primary concerns of ours during implicit training either. None of the fore mentioned alter how the brain interprets space so we can't use them in our analysis process.

Nevertheless, we measure everything that occurs in the at bat. It was no surprise to discover, the factor that correlates to improvement tendencies and future predictions is the swing. A swing is a swing, regardless if its at a strike or ball. A swing is generated by the brain and we're more interested in why and when the swing occurs than what it looks like. It is commonly implied and accepted that if a hitter swings at better pitches her swing and performance will improve.  It is important to note and state again that swinging at a ball is much different than taking a strike since balls are hit hard only 2% of the time.

To accurately measure basic pitch efficiency we divide the total number of swings into the total number of strikes swinging. This tells us a hitters strike swinging efficiency. A basic set of numbers collected during practice and games. The following two chart examples were collected using the SwingD app developed by Dr. Les Anderson.  


Legend: Total pitches, total strikes, strikes swinging, total balls, balls taken, strike efficiency, ball efficiency, VflexQAB and strike swinging efficiency

Teams and individual that are serious about changing strike zone behaviors will find it (necessary) to collect certain basic forms of data. Data that can be monitored in practice for the purpose of establishing correlations that result in greater strike swinging efficiency during games.

In the game charted above FL swung at 4 balls and Laf. swung at 19 balls. Regardless of the outcome of the game the hidden numbers associated with the strike zone shows rather clearly which team had the best chance at winning this particular game. If we take the Gators 45 total swings and divide them into their 41 strikes swinging we see that they had a 91% strike swinging efficiency for the game. That is really good!!! The Gators have been training their brains for five seasons and their strike swinging probability is frequently in the 90 percentile. Lafayette doesn't train on V-Flex. The most interesting stat associated with non users is their inability to raise their strike swinging efficiency above the 60 percentile. There is hard evidence that non trained brains aren't as efficient as trained ones. Dr. Les Anderson, the developer of the app, continues to research and record data associated with non-trained hitters and V-Flex trained hitter. His research will change the way teams measure success and pursue championships.

Practice numbers that are out of balance with game day performance are a red flags that tell us something is wrong within a training system. For example the chart below shows a typical batting practice session on the field and in the batting cage without V-Flex's implicit principles applied.


This chart shows solid evidence that team (xyz) is focused on swinging at strikes. Unfortunately, this team isn't going to be very good under pressure simple because they aren't good at recognizing and responding to balls. Their ball efficiency is 30% points lower than it should be for a practice session and if unaddressed this team will not meet its full potential. They might win a lot of games but the won't win the big one.

You might think that throwing more balls will solve your problem but that along isn't enough. It is part of the solution but the (necessary) component related to consistent quantifiable improvement is V-Flex. Simply throwing more balls doesn't alter your brains assimilation with space and time. In order to truly affect ball efficiency the brain has to be implicitly trained. By exposing it to new forms of information neurologically we can change its efficiency. Teams that are V-flexing are seeing game and practice numbers move steadily upward. The Guide below is a basic look at implicit training.