• Z Strategy - Examples

Are you in a mess ? Let's try to see the by this way.

Let's take a guy. A 17 years-old boy wants to be a famous track and field athlete, more precise a Long or Triple Jump Athlete. How can we know if he has the chances to reach a mundial performance, or breaking a world record. Using Z Strategy it's easy. After you had finished the tests and calculated the results transforming it in Z Indices we can make a graph. Now we can take this graph and compare it to a graph of a person or the average of the sport he intends to practice.

In this case, we gonna use a Ex-Triple Jump Athlete's graph. The comparison between the guy indices and the profissional athlete can show if he has chances to reach high results.

The analysis of the graph show us he is too much short and thin and hasn't too much velocity. But than most of all, considering that VJW means Vertical Jump With help of upper arms and VJO means Vertical Jump withOut help of upper arms, he hasn't impulsion enough to get great results. So this guy should practice another kind of sports if he is interested to get results or a great performance. He could be a jumper just "for fun".

And if he's still interested having results, we can try to find out what sport he could get higher performance.

If we pay attention again in his graphics we'll realize that the physical capacity he had better Z Indice value is VO2. That means he has a good oxigen consuption. What kind of sports needs a good oxigen consuption: aerobics sports of course, like Long Distance ones. The comparison between his results with the Long Distance Runners average allow us to say if he try to become a long distance runner, maybe he can get great results being the Z Indices to VO2 equal 4,6 and his almost 4.

Although the VO2 values almost match, the comparison of just one test(VO2) isn't enough to say what kind of sport will be indicated to the person.
The more values match the more chances to be right.

Isn't it clean yet ? Do you wanna more examples ?

Z STRATEGY - WHAT'S THAT? - APPLYING IT - RESEARCH - FEEDBACK