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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 his swing and performance will improve.  

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 ECU swung at 9 balls and TTU swung at 23 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 ECU's 68 total swings and divide them into their 59 strikes swinging we  see that they had a 86% strike swinging efficiency for the game. That is really good!!!   

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 it is expressing greater efficiency toward identifying balls from strikes. Teams that are V-flexing are seeing game and practice numbers move steadily upward. The Guide below is a basic look at implicit training.