Introducing Rolling Window Analysis — Capturing the Most Demanding Scenarios of the Game
In elite sports, averages lie. That’s why we’re introducing Rolling Window Analysis — a major new feature within the KINEXON Sports app designed to help S&C coaches, sport scientists, and performance staff move beyond averages and static summaries while capturing what matters most: the most demanding moments of play.
With our LPS, IMU, or GPS-based systems, Rolling Window Analysis lets you quantify the highest performance demands in real-time, enabling precise, sport-specific load profiling that’s aligned with the latest evidence from sports science.
Why It Matters: The Evidence Is Clear
A recent study by Irid et al. (2025), published in Biology of Sport, emphasized how traditional averages drastically underestimate peak intensity periods in basketball. Using KINEXON LPS and IMU devices, researchers analyzed 31 elite youth athletes over 40 official games and found:
“Shorter time epochs consistently captured higher peak demands across all performance variables for both male and female players.” – Irid et al. (2025)
Peak distance covered, accelerations, decelerations, and sprint durations all declined significantly as the analyzed time window increased — showing that key moments of overload can be easily missed when using traditional averages or static time blocks.
These findings underline a core truth: training and monitoring must also reflect the most demanding scenarios (MDS), not just session averages.
Exploring Rolling Window Analysis
Peak distance covered, accelerations, decelerations, and sprint durations all declined significantly as the analyzed time window increased — showing that key moments of overload can be easily missed when using traditional averages or static time blocks.
These findings underline a core truth: training and monitoring must also reflect the most demanding scenarios (MDS), not just session averages.
Practical Implications Backed by Research
Rolling Window Analysis enables exactly that — by giving users a moving, high-resolution lens on performance intensity over configurable time windows.
Widget Features:
- Window Length (e.g., 30s): Set the snapshot duration for performance evaluation
- Window Shift (e.g., every 2s): Controls the step size between windows
- Key Value (e.g., 70m in 30s): Defines thresholds for “high demand” exposures
- Window Range: Apply analysis to the full session or specific periods
Output Includes:
- Total number of windows
- Number of high-demand windows (dependent on user set key value)
- Average & maximum window value
- Timestamp of peak intensity
- Exportable to CSV or Excel

Use Cases for Coaches & Sport Scientists
- Sprint & Acceleration Exposure: Quantify how often and when athletes hit thresholds during gameplay or drills.
- Max Load Monitoring: Know each athlete’s highest intensity period — and build return-to-play plans around real in-game benchmarks that reflect the most demanding scenarios.
- Position-Specific Demands: Tailor workloads to reflect the different peak demands seen in guards vs. forwards vs. bigs.
- Session Design Validation: Did your drill create enough high-intensity windows? Now you can measure that.
The Bigger Picture
Every leap in officiating technology — GLT, VAR, SAOT — has made football fairer. CBT builds on that foundation by protecting not only accuracy, but also the game’s rhythm. By embedding intelligence in the ball itself, football’s timeless icon becomes its most reliable witness.
And the best technology? It’s not the one we notice. It’s the one that quietly protects the game while letting its magic breathe.