SHIPPING WORLDWIDE 📦
BOOK A FREE DEMO WALKTHROUGH ➡️
Cart
(
0
)

Your cart

Product Title
Option 1 / Option 2 / Option 3
Product Note
Subscription Plan Info
Product Discount (-$0)
COUPON1 (-$0)
$0
-
+
Your cart is empty
Enter discount code
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Coupon1
Coupon2
Cart note
Subtotal
$0
COUPON2
-$0
Order Discount
-$0
Cart Total*
$0
*Shipping costs are calculated at checkout.

Time to Split: How Split Times Reveal Performance Gaps

Mateo Kovačić, a kinesiotherapist and former elite sprinter, breaks down how coaches can use split-timing and biomechanical profiling to better understand and improve athlete speed. Drawing from his own experience as a national sprint champion and now working in athlete development, he shows how breaking down sprint phases helps target training and improve performance across sports.

The introduction of complexity is another way of thinking about the difference between agility and change of direction: agility requires the athlete to react. However, reacting is not equivalent to reflexive. Reacting entails working through several steps — perceive, decide, and act. That takes time.

As a coach, I’ve learned that measuring total sprint time alone doesn’t tell the full story. You need to know how fast each segment of the sprint is — from that explosive first 5 meters, through the transition into top speed, and beyond. And when you break down those phases using split timing, you unlock a powerful view into what makes each athlete fast—or what's holding them back.

But timing alone isn't enough. When we combine split times with force, velocity, and power profiles, we can pinpoint exactly where an athlete needs work. Is it early acceleration and first-step quickness? Top-end speed? Or the ability to decelerate and re-accelerate in tight spaces? By understanding an athlete’s mechanical profile—how they produce force and convert it into speed—we can train smarter (Morin & Samozino, 2015).

In this article I'll walk you through:

Whether you're coaching youth players or pros, this approach helps you develop the kind of speed that wins games. Let’s dive in.

1. Unlocking Sprint Performance: One Split at a Time

When we look at sprinting through the lens of split timing, we begin to see sprinting not as one action, but as multiple phases that require different physical qualities. The first step out of the blocks or from a standing position demands explosive horizontal force. As the athlete gains speed, it becomes more about power and efficient movement. Understanding when and where an athlete is fast—or struggling—is the foundation of smart training.

What Split Timing Tells Us

By placing timing gates at key points—5m, 10m, 20m, 30m—we can break down the sprint into:

x Early Acceleration (0–10m): Tells us about an athlete’s ability to produce force quickly (F0) and apply it in the right direction (RFmax) (Morin et al., 2019).

x Mid Acceleration (10–20m): Shows how well an athlete maintains momentum and transitions from power to speed (Flanagan et al., 2025).

x Top-End Speed (20–30m+): Reflects max velocity (V0), efficiency, and technique under fatigue (Bustamante-Garrido et al., 2024).

This breakdown matters because an athlete might have a great 0–10m but fall off quickly. Another might be slow off the line but have excellent top-end speed. Split timing helps us target the right physical quality, whether it’s strength, power, or sprint mechanics (Sarabon et al., 2021).

Biomechanical Metrics from Split‑Timing

Each phase of a sprint corresponds to specific mechanical variables that we can train:

Metric

What It Means

Why It Matters

F0

Maximum horizontal force

Tells us how much raw strength an athlete produces at takeoff

RFmax

Ratio of force in the right direction

Measures how efficiently an athlete applies that strength horizontally

Pmax

Peak power output

The sweet spot between strength and velocity

V0

Theoretical max speed

Top-end sprint potential—key for athletes in open-field sports

DRF

Decline in force with speed

Indicates sprint endurance and ability to sustain acceleration

RSI

Reactive Strength Index

Reflects explosiveness during change-of-direction or repeated sprints

These variables come from modeling simple sprint splits. Tools like the Morin & Samozino field method let coaches estimate them without needing a biomechanics lab.

Early Acceleration (0–5/10 m)

Mid‑Late Acceleration (10–20/30 m)

Reactive Strength & Agility

Longitudinal Tracking

2. Benchmarks

To assess athletes, we need context. Here are sprint benchmarks for elite male and female athletes:

Male Athletes

Level

0–10m

10–20m

20m Total

Source

U19 Soccer

~1.85s

~1.27s

~3.12s

Szczepanik et al., 2016

Elite Men

–

–

2.7–3.1s

MAT Assessment

Trained Non-Elite

–

–

3.2–3.6s

MAT Assessment

Female Athletes

Level

0–10m

10–20m

20m Total

Source

Elite U17

~1.04s

~1.83s

~3.28s

Salford Uni, 2024

Non-Elite U17

~1.11s

~1.96s

~3.51s

Salford Uni, 2024

International Elite

–

–

~3.18–3.30s

ETSU Repository

3. Actionable data: Applications Across Sports

Let’s say your athlete is explosive over 0–10m but gets caught from behind after 20m. The data might show a strong F0 but weak V0 or poor DRF. That tells you to add velocity-focused drills, flying sprints, or technical work at max speed (Bustamante-Garrido et al., 2024).

Or maybe your athlete is fast in testing but struggles to decelerate or re-accelerate in games. A low RSI score might show poor reactive strength, so we target plyometrics, depth jumps, or COD drills under fatigue (Flanagan et al., 2025).

The key is matching the training to the metric—using the data to guide what the athlete actually needs.

Soccer, Rugby, Hockey

Basketball, Volleyball

Track & Field Sprinters

Use split timing to tune technical execution and tailor block starts, flying sprints, and overspeed work (Hicks et al., 2022).

Acceleration, Deceleration & Change‑of‑Direction

Long-Term Monitoring: Tracking Real Progress

You can use split timing across a season to measure:

This kind of individualized programming beats generic speed training every time.

Long-Term Monitoring: Tracking Real Progress

As a coach, I’m always looking for that one tool that gives me better insight, clearer data, and faster decisions. That’s why we rely on the Sportreact System. The timing gates give us laser-accurate split times across 5, 10, 20, and 30 meters. But the real game-changer? Sportreact PLUS.

This app gives me instant access to detailed sprint analytics - acceleration, power, force - you name it. After each test, I can break down exactly where an athlete excels or needs development. I can compare athletes against normative standards, track individual growth week by week, and even sort my whole team by force output or acceleration capacity. It’s all automatic, and it’s all in the app.

With Sportreact PLUS, we don’t just guess who’s improving—we see it. We don’t assume where an athlete is weak—we know. And we’re not just building faster athletes—we’re developing complete performance profiles based on real data, personalized training, and next-level accountability.

This isn’t just timing anymore. It’s performance intelligence. And it’s changing the way we coach.

Ivan Josipovic - Content Writer at Sportreact - Co-founder at Sportreact

MATEO KOVACIC

Meet Mateo: a kinesiotherapist and former elite track and field athlete, brings a wealth of experience to his writing. A multiple-time national champion in the 400 meters and a European 4x400 relay competitor, he now channels his expertise into coaching youth athletes in speed development. 

Mateo shares insights on training techniques, athlete development, and his journey from the track to coaching.

Contact Author

References:

  1. Bustamante-Garrido, A., Carbo-Carreté, M., Romero-Franco, N., & Padullés-Riu, J. M. (2024). Reliability of mechanical sprint variables obtained with a field method: Radar vs. timing gates. Frontiers in Sports and Active Living, 6, 1480973. https://www.frontiersin.org/articles/10.3389/fspor.2024.1480973/full
  2. ETSU Repository. (n.d.). Sprint times and physiological characteristics of elite female football players. East Tennessee State University. https://dc.etsu.edu/cgi/viewcontent.cgi?article=4514&context=etd
  3. Flanagan, E. P., McCann, A., & Moran, K. A. (2025). Relationship between reactive strength index and sprint performance in youth and elite athletes. Applied Sciences, 15(12), 6910. https://www.mdpi.com/2076-3417/15/12/6910
  4. Hicks, D., Hopkins, W. G., & Lloyd, R. S. (2022). Longitudinal tracking of force-velocity-power metrics in elite sprinters: A season review. International Journal of Sports Physiology and Performance. https://pdfs.semanticscholar.org/6136/ed4c6391235fc79c1b75f3329b8b08cd24b7.pdf
  5. MAT Assessment. (n.d.). 20m sprint test normative data. https://www.matassessment.com/blog/20m-sprint-test
  6. McMahon, J. J., Jones, P. A., Suchomel, T. J., Lake, J. P., & Comfort, P. (2017). Reliability of 5-, 10-, and 20-m sprint times in male and female athletes. Measurement in Physical Education and Exercise Science, 21(4), 258–263. https://www.researchgate.net/publication/318116429
  7. Mitrečić, L., Janković, N., Šarabon, N., & Ivković, A. (2025). Sprint force-velocity profiling and split performance in elite amateur soccer players. Montenegrin Journal of Sports Science and Medicine, 14(1), 15–21. https://mjssm.me/clanci/MJSSM_March_2025_Mitrecic.pdf
  8. Morin, J. B., & Samozino, P. (2015). A simple method for measuring power, force, and velocity properties of sprinting. Journal of Biomechanics, 48(12), 2845–2852. https://www.researchgate.net/publication/271907679
  9. Morin, J. B., Edouard, P., & Samozino, P. (2019). Technical and methodological considerations for sprint performance profiling. Frontiers in Sports and Active Living, 1, 1412861. https://www.frontiersin.org/articles/10.3389/fspor.2024.1412861/full
  10. Salford University. (2024). Sprint profiling in elite and non-elite U17 female footballers. https://salford-repository.worktribe.com/OutputFile/1494586
  11. Sarabon, N., Smajla, D., Kozinc, Ž., & Markovic, G. (2021). Sprint performance and mechanical characteristics across different training levels in football players. International Journal of Environmental Research and Public Health, 18(14), 7690. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8219273/
  12. Szczepanik, M., Nikolaidis, P. T., & Knechtle, B. (2016). Reference values for sprint performance in male soccer players aged 9–35 years. Biology of Sport, 33(4), 403–410. https://sciendo.com/2/v2/download/article/10.1515/bhk-2016-0015.pdf
Read next