Run an FVP.run Session
In our last blog post on FVP Sprint, we outlined what FVP is and how it offers new insight for coaches when compared with traditional sprint monitoring. This post will discuss the implementation of FVP Sprint using a SMARTSPEED timing-gate system and the new FVP dashboard within SMARTSPEED Cloud. If you haven’t had a chance to check out the previous blog post yet, click here to read more.
We encourage you to read our last post in full but for those of you who need a recap: understanding how an athlete performs a sprint provides much more insight than simply knowing their final result. In particular, it is important to understand the key mechanical determinants of sprint performance such as force, velocity and power.
Traditionally, a high-performance laboratory would be required with 3D motion capture and force plates to measure these variables. While certainly accurate, this approach is time-consuming, expensive and requires extensive technical understanding for using and analysing the various hardware devices.
Our new FVP sprint protocol simply takes split times, along with height, mass and some environmental conditions to produce a full profile of the athlete’s force, velocity, power and some key relationships between those variables.
While the maths behind this is rather complex, we have implemented this for you within our SMARTSPEED system so you don’t have to do anything other than run your normal session!
See below for some brief guidelines.
What do you need?
FVP sprint will be a new protocol in your SMARTSPEED App. To use it, you will need the updated app, and while the recommended setups for FVP vary in the literature, you will ideally run the FVP sprint over 40m using at least 4 gates. The more gates, the better. Try to ensure that the gates are at least 5m apart.
See a picture below of the ideal setup with 5 gates, set 10m apart.
Performing the Sprint?
To perform the sprint, open the protocol in the app and setup the session as per a normal SMARTSPEED testing session. When you reach the User Options screen, make sure you fill in the Split Distances and if known, the environmental conditions. Don’t worry too much about these at this point, they can be adjusted later on in SMARTSPEED Online.
Complete the session as you would a normal testing protocol. You might like to try doing an array of repeat sprints to measure fatigue or simply test your entire team as part of an ongoing monitoring protocol. Given this method is only now becoming widely available, there isn’t a whole lot of research into how these FVP measures change over time so be creative!
Where do I see the results?
The FVP algorithm runs on SMARTSPEED Cloud. This means that from the App, we need to send your data to SMARTSPEED Cloud where you will be able to view it. Keep an eye out for our next blog post where we will discuss the interpretation of FVP results and how to apply them with your athletes.
Cross, M. R., Brughelli, M., Brown, S. R., Samozino, P., Gill, N. D., Cronin, J. B., & Morin, J. B. (2015). Mechanical Properties of Sprinting in Elite Rugby Union and Rugby League. International Journal of Sports Physiology and Performance, 10(6), 695-702. doi:10.1123/ijspp.2014-0151
Cross, M. R., Brughelli, M., Samozino, P., & Morin, J.-B. (2017). Methods of Power-Force-Velocity Profiling During Sprint Running: A Narrative Review. Sports Medicine, 47(7), 1255-1269. doi:10.1007/s40279-016-0653-3
Mendiguchia, J., Samozino, P., Martinez-Ruiz, E., Brughelli, M., Schmikli, S., Morin, J. B., & Mendez-Villanueva, A. (2014). Progression of mechanical properties during on-field sprint running after returning to sports from a hamstring muscle injury in soccer players. International Journal of Sports Medicine, 35(8), 690-695. doi:10.1055/s-0033-1363192
Samozino, P., Rabita, G., Dorel, S., Slawinski, J., Peyrot, N., Saez de Villarreal, E., & Morin, J. B. (2016). A simple method for measuring power, force, velocity properties, and mechanical effectiveness in sprint running. Scandinavian Journal of Medicine and Science in Sports, 26(6), 648-658. doi:10.1111/sms.12490