Bridging the Gap: How NHL Teams Can Use Game Data to Train Smarter with KINEXON PERFORM
In today’s NHL, games are fast, physical, and fiercely competitive, placing high-intensity demands on every athlete, every shift. Yet many teams still train based on assumptions, averages, or generic drills rather than the specific game scenarios that define elite performance.
The solution? Let the game lead. Thanks to the NHL’s league-wide SMT tracking system, every player’s in-game movement is captured in high fidelity. When this data is integrated with training metrics from Local Positioning Systems (LPS) and Inertial Measurement Units (IMUs), teams can finally prepare players not just for the season, but for peak performance and the most demanding scenarios of the game.
That’s where KINEXON PERFORM comes in.
The Competitive Edge: Contextualized Game and Training Data in One Platform
KINEXON PERFORM HOCKEY is the most advanced solution available for real-time athlete monitoring and game-performance analytics. It bridges the data divide by integrating:
- SMT-derived game data
- IMU-only tracking data from on the road training environments
- High-precision LPS + IMU data for practices at home
All data sources are unified in one platform, delivering a holistic, contextualized view of performance across the season, across environments, and across every player.
This is no longer just about collecting data. It’s about turning data into insight — and insight into action.
Game Data Is the Benchmark — But Not Enough Alone
The NHL’s in-game SMT tracking system captures rich positional data: how fast players skate, where they move, and how they transition through zones. It’s invaluable for identifying the game’s most physically intense scenarios. But this positional data alone lacks the mechanical context of how hard a player worked, how many accelerations they produced, how many collisions they endured, and how quickly they fatigued.
Without inertial data, game tracking tells only part of the story.
From Fragmented to Full Picture: The Power of KINEXON’s LPS + IMU Integration
Training data faces its own challenges. Many away sessions rely solely on IMUs — providing inertial metrics like Acceleration Load, Exertions and Impacts, but with no spatial reference. At home, some teams have equipped their rinks with LPS systems to collect positional data, but often with no link to game data.
KINEXON PERFORM solves this by pairing lightweight, ultra-precise IMU sensors with high-frequency LPS for complete movement analysis at home, while enabling IMU-only data collection on the road. All this is tied together with PERFORM Game Insights, KINEXON’s proprietary pipeline that automatically integrates NHL game data from SMT into the same platform.
Now, teams can compare practice to game demands in real terms:
- Did your high-intensity forecheck drill match in-game acceleration volumes?
- Is a returning player hitting their personal shift benchmarks?
- Are conditioning blocks preparing players for worst-case scenarios?
With over 180 positional and inertial metrics, KINEXON Sports supports precise, hockey-specific decisions every day.
Hit the Ice with Trusted Athlete Performance Tracking for Training and Games, Home and Away
Making Away Game Data Count with Predictive Modeling
KINEXON’s AI-based estimation models convert IMU-only data into positional performance proxies — ideal for away games. Teams like the New York Rangers have already leveraged this by building a phase index from home LPS + IMU data. On the road, they repeat the same drills with only IMU sensors and estimate workload based on the indexed outputs.
This ensures training remains consistent, measurable, and relevant, no matter where the team is.
Smarter Load Management: Context, Not Just Quantity
Not all loads are equal. A forward may hit 800 AU in a game from explosive sprints; a goalie might reach the same number from repeated pad drops. That’s why contextualized load monitoring is key.
KINEXON’s LPS + IMU combination allows teams to understand:
- Skating vs. gliding ratios
- Explosive vs. steady-state output
- Player style and role-based workload profiles
With real-time feedback, coaching staff can adjust on the fly, fine-tune practices, and monitor individual player stress levels during drills and scrimmages.
Return-to-Play, Redefined
Returning a player from injury without benchmarking against game data is like flying blind. KINEXON enables staff to:
- Compare injured players to their own pre-injury game load profiles
- Set thresholds based on real in-game speed, acceleration, and workload
- Validate return-to-play protocols with actual positional and inertial metrics
This gives coaches confidence and athletes clarity in the process, reducing re-injury risk and optimizing performance..
3 Actions NHL Teams Can Take Today
- Unify game and training data
Integrate SMT game data with LPS/IMU training sessions to build a single, continuous athlete performance timeline. - Develop benchmarked training drills
Use positional + inertial data to validate training drills against in-game peak demands. - Use contextual load, not just raw values
Analyze skating load, impacts, and acceleration bursts by position and role to tailor conditioning and recovery.
Final Shift: From Data Collection to Performance Strategy
Every NHL team has access to game data. The real advantage lies in what you do with it. With KINEXON PERFORM, teams can connect game-day insights to training design, return-to-play, and long-term athlete development.
Let the game inform your training. Let KINEXON connect the dots. Schedule a demo to learn how coaches are making an impact on the ice with performance data.
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