PRECISION SPORTS ANALYTICS

Data is our Pulse

Unlock your athletic potential with precision analytics. We don't just track numbers; we reveal the science behind your performance.

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iOS & Android Garmin / Apple Watch / Polar On-device analysis
Run
Swim
Bike
Walk
Health
Cardio
Sleep
Hike
SwimTrainer
Paceva
PacevaTrainer
Padel
10 Apps available
2 Mobile platforms
Local Core analytics

Sports Analytics Applications

Run Analytics

VO₂max · Injury Risk · Performance Tracking

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Swim Analytics

Stroke Analysis · Efficiency · Training Zones

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Bike Analytics

Power Zones · FTP · Performance Analytics

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Walk Analytics

Health Metrics · Cardiovascular · Fitness Tracking

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Health Analytics

Vitals · Nutrition · Wellness Score

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Sleep Analytics

Sleep Score / HRV / Recovery

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SwimTrainer Analytics

Technique / Drill Plans / Progression

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Padel Analytics

Match Tracking / RPE & Recovery / Health Sync

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Advanced sport metrics, computed on your device

AnalyticsZone turns wearable data into advanced sports-science metrics such as Critical Power and W′, Critical Swim Speed, CTL/ATL/TSB, VO₂max, HRV and gait asymmetry. Core calculations run locally on your device. Optional integrations, including direct Garmin sync in Run Analytics, transfer only disclosed data after explicit consent.

The apps are designed for advanced amateur athletes who want more than pace and heart rate. Core analysis stays on-device; each optional connection explains what it transfers and gives you control over consent, disconnection and export.

How AnalyticsZone compares

Stock wearable apps display the raw numbers your device records. AnalyticsZone applies published sports-science models to turn those numbers into metrics coaches actually use — computed locally on your device.

Metric AnalyticsZone Stock wearable app Conventional platform
Critical Power & W′ (anaerobic capacity) CP + W′ balance model (Skiba 2012) Not available Not available
Critical Swim Speed (CSS) 400 m + 200 m protocol (Wakayoshi 1992) Not available Not available
Training load (CTL / ATL / TSB) Banister impulse–response model Approximate score only Fitness score (paid tier)
Gait asymmetry & double support time Apple Health data + clinical reference ranges Raw number shown, no context Not available
Data privacy Core metrics on-device; optional sync disclosed Synced to manufacturer cloud Uploaded to third-party servers
Account required No — works offline Manufacturer account Yes — subscription

Models cited: Skiba PF (2012) Int J Sports Physiol Perform — Critical Power & W′ balance. Wakayoshi K et al. (1992) Eur J Appl Physiol — Critical Swim Speed. Banister EW (1991) — training impulse model.

Frequently asked questions

Does AnalyticsZone work with Garmin, Apple Watch and Polar?

Yes. The apps read the workout and health data already recorded by your Garmin, Apple Watch or Polar device and recompute advanced sports-science metrics from it. You do not need any extra hardware.

Is my health and training data stored in the cloud?

Core metrics are calculated locally, and most apps work without an AnalyticsZone account. Optional integrations vary: Run Analytics direct Garmin sync uses a secure backend only after explicit consent. Each app privacy policy explains the transferred data and available controls.

What advanced metrics can AnalyticsZone calculate?

Critical Power and W′ (anaerobic capacity) for cycling, Critical Swim Speed (CSS) for swimming, running training load with CTL, ATL and TSB, VO₂max estimates, heart-rate variability (HRV) and gait metrics such as walking asymmetry and double support time.

How is this different from the app that came with my watch?

Stock apps mostly display the numbers your watch records. AnalyticsZone applies sports-science models (Skiba’s W′ balance, critical-speed testing, performance-management charts) to turn those numbers into actionable training metrics, with explanations of what each one means and how to use it.

Are the calculations backed by peer-reviewed research?

Yes. Every model in AnalyticsZone traces to published sports science. Critical Power and W′ use the balance model described by Skiba et al. (2012, Int J Sports Physiol Perform). Critical Swim Speed follows the 400 m + 200 m time-trial protocol of Wakayoshi et al. (1992, Eur J Appl Physiol). Training load (CTL, ATL, TSB) is derived from Banister’s impulse–response model (1991). Gait metrics such as walking asymmetry and double-support time use reference ranges from published rehabilitation research (Menz et al. 2003, Brach et al. 2008). No proprietary formulas, no black-box scores.

AnalyticsZone apps

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Choose the sport-specific analytics application that fits your athletic goals.