Have you ever wondered if plyometrics are actually able to increase your vertical jump, if so then you are in luck as this exactly what I will be talking about today. The vertical jump is a fabulous way of display one's athletic ability; it is a test that is used in every sport to measure one's athletic ability. The vertical jump has been shown to have the biggest carryover to sporting events; this is mainly due to the high amounts of strength that are involved in jumping high. It would make a lot of sense for one to make the vertical jump a focal point of training as it is such a good indicator of potential performance.
There are not very many variables that go into jumping high, well there are not too many variables that one actually has control over. So once one is able to understand the process of how to increase one's vertical jump, it's actually pretty easy from there. In order to obtain the jumping ability that one wants, one first must have very high levels of general strength, especially in their lower body; this means plenty of squats, deadlifts, and lunges. Once one has gained the required strength, strength becomes less of a factor and the explosive strength deficit begins to come into play.
Another variable of jumping high is adding plyometrics to one's training. Plyometrics are used to enhance one's reactive ability and permit them to attain full use of their strength. I only advise basic plyometrics until an athlete has reached an excellent base level of strength. The level of strength that I like athletes to reach is usually between 1.5 to 2 times their bodyweight on the squat exercise. Once they have obtained this level of strength, they can finally shift on to more intense plyometrics such as depth jumps and depth drops.
I do not like an athlete to perform intensive plyometrics until they have reached a good level of strength because I feel that their bodies aren't yet ready to handle the forces that are involved in an exercise like a depth jump.
When one is training to jump high, one can't focus exclusively on one part of the equation. Every variable implicated must be trained at the same time. That's not to say that their importance must always remain the same, but that they cannot leave one variable out of the equation, doing so could produce one not achieving the results that they had anticipated.