In this sixth and final installment of this article series, I will explore whether the “causal” interpretation of the Force-Velocity Profiling "holds water” using N=1 testing.

In this article I will do a simple simulation to acquire insights about the practical usefulness of the AVP and FVP optimization models.

In the previous installment, I have demonstrated how to perform sensitivity/optimization analysis of the Acceleration-Velocity Profile (AVP) using (1) probing method and (2) slope method. In this installment I will explain how to do it using the Force-Velocity Profile (FVP).

In the next two parts of this article series, I will explain how the optimization of the Force-Velocity Profile (FVP) works. Before jumping into FVP optimization, I will first explain the same reasoning using the Acceleration-Velocity Profile (AVP) since it is easier to comprehend.

In the previous part, I introduced two models to map out the velocity-time relationship in short sprints, while in this article, I will focus on the characteristics of the mono-exponential model.

In this article series I will provide my opinion regarding the use of Force-Velocity Profile (FVP) optimization for short sprints (i.e., the sprints where there is no deceleration).