PRECISION SPORTS ANALYTICS

Los datos son nuestro pulso

Desbloquea tu potencial atlético con análisis de precisión. No solo rastreamos números; revelamos la ciencia detrás de tu rendimiento.

iOS & Android Garmin / Apple Watch / Polar On-device analysis
Run
Swim
Bike
Walk
Health
Cardio
Sleep
Hike
SwimTrainer
Paceva
PacevaTrainer
Padel
10 Apps disponibles
2 Plataformas móviles
Local Analítica principal

Sports Analytics Applications

Advanced sport metrics, computed on your device

AnalyticsZone convierte los datos de tus wearables en métricas avanzadas como Potencia Crítica y W′, Velocidad Crítica de Natación, CTL/ATL/TSB, VO₂max, HRV y asimetría de la marcha. Los cálculos principales se realizan localmente. Las integraciones opcionales, incluida la conexión directa con Garmin de Run Analytics, transfieren solo los datos explicados y con consentimiento explícito.

Las apps están diseñadas para atletas amateur avanzados que quieren ir más allá del ritmo y la frecuencia cardiaca. El análisis principal permanece en el dispositivo; cada conexión opcional explica qué transfiere y ofrece controles de consentimiento, desconexión y exportación.

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 Métricas principales locales; sincronización opcional explicada 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?

Las métricas principales se calculan localmente y la mayoría de apps funcionan sin una cuenta de AnalyticsZone. Las integraciones opcionales varían: la conexión directa con Garmin de Run Analytics usa un backend seguro solo con consentimiento explícito. La política de cada app explica los datos transferidos y los controles disponibles.

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.