Kargatzen…
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“Exercise physiology, encoded into every training decision.”
Most athletes work hard. They follow their plans, hit their sessions, log their kilometres. And still they plateau — not because they lack commitment, but because they are missing the layer that converts consistent training into race-day performance.
That layer is data interpretation: reading the pattern in your Garmin Training Status trend, understanding why your threshold pace improved in week 8 but your race-day pacing fell apart in km 32, knowing when to push through and when to protect.
I spent 15 years learning to read that pattern — first as an Exercise Physiology researcher, then through direct endurance coaching. CoachUpFit turns that experience into an autonomous engine that evaluates every athlete from actual physiological data, not generic programmes.
Garmin and Strava give the raw signals. CoachUpFit interprets why Body Battery stays low when load looks normal, what aerobic decoupling means for race strategy, and whether an 'Unproductive' Training Status is alarming or expected in the current phase. The autonomous engine combines those signals into the next training decision.
Most self-coached athletes spend 60–70% of training at an intensity too hard for aerobic development and too easy for quality work. CoachUpFit detects that grey-zone pattern, keeps easy days genuinely easy, and protects the quality sessions that produce specific adaptation.
The athletes who improve most are not those who train hardest; they train consistently across complete builds. CoachUpFit manages acute:chronic load, recovery, and session changes day by day from current data. No human review or approval is required.
CoachUpFit analyses every completed Garmin or Strava session: heart-rate curves, Training Load trends, Body Battery recovery, and HRV status. That longitudinal physiological picture gives the autonomous engine more context for each decision than sporadic observation alone.
CoachUpFit is built for endurance athletes with a specific race goal, a consistent training history, and connected training data. Typical athletes who use the autonomous platform:
The autonomous engine analyses the past 90 days of available Garmin or Strava history to establish threshold pace, HRV baseline, typical weekly load, and intensity distribution. This usually exposes incorrect zone calibration or grey-zone intensity on easy days. No human review or approval is required.
Training intensity is corrected to true polarized distribution. Easy days are genuinely easy (Garmin HR ceiling alerts set at 75–78% max HR). Two quality sessions per week are protected. Training Load rises progressively with ACWR kept below 1.35.
Threshold tempo runs build from 20 to 40 minutes of continuous work. Marathon-pace long runs introduce race-specific stimulus. Training Status trend shifts toward 'Productive'. Threshold pace typically improves 8–15 seconds per km over this block.
Volume reduces 40–50% while frequency is maintained. Body Battery targets 60+ on race morning. Garmin race-day protocol set with pace alerts at goal pace ±4 seconds per km. Post-race data review identifies execution patterns for the next cycle.
41 in-depth articles on Garmin data, training methodology, race preparation, and sports science — all grounded in sports science and the autonomous training methodology.
Connect Garmin or Strava, answer a 60-second quiz, and see your first week of training built around your real data. The adaptive base is free forever, with no card. Add Race for €20/month only when you want season-race planning.
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