What each metric is actually measuring
Resting heart rate is simple: how many times your heart beats per minute when you're lying still. It's a blunt instrument, and that's not necessarily a criticism. A chronically elevated resting HR — say, climbing 8–10 bpm above your personal baseline — reliably signals that something is off, whether that's accumulated fatigue, a creeping illness, or the early stages of overreaching. The problem is that resting HR only changes meaningfully when the signal is already loud. By the time it moves, you've usually already had a few bad training days.
HRV, or heart rate variability, measures something finer: the fluctuation in time between consecutive heartbeats. A high, stable HRV indicates a well-rested autonomic nervous system dominated by parasympathetic activity. A low, suppressed HRV signals that your body is under load — sympathetic drive is higher, recovery isn't complete. The key metric is RMSSD (root mean square of successive differences), which is the time-domain index most sensitive to parasympathetic tone and the one most wearables report as a single morning score. If you want to go deeper on HRV as a standalone tool, the HRV guide for cyclists covers the physiology and protocol in detail.
Both metrics tap into the same underlying system — autonomic nervous system function and cardiac regulation — but HRV does it with considerably more resolution. Resting HR is like checking the weather by looking out the window. HRV is like reading a barometer. Both can tell you something real; one just gives you more to work with.
A combined signal is exactly why generic readiness scores miss things. Garmin Training Readiness, for example, uses HRV but not RHR at all — and as our Garmin Training Readiness vs LeCoach Recovery Score case study shows on real four-day data, that gap can mean a green-light readiness score on the second day of a clear autonomic dip.
Where HRV has the edge — and where it doesn't
A 2025 study published in Scientific Reports tested three monitoring approaches in 28 experienced male cyclists over 40 days: vagally-mediated HRV alone, HRV combined with subjective wellbeing, and all three together (HRV + wellbeing + resting HR). All groups improved cycling performance, but the multi-metric approach captured nuances that single-metric tracking missed. This confirms what practitioners have been arguing for years: no single number tells the whole story. Still, HRV consistently outperformed resting HR alone as the primary training-guidance signal.
A 2021 systematic review and meta-analysis found that HRV-guided training was superior to predefined training plans for enhancing vagally-mediated HRV indices — but by only a small margin for raw performance outcomes like VO2max or FTP. What HRV-guided training did better was prevent negative adaptations. Athletes who trained by HRV were less likely to dig themselves into a hole they couldn't get out of. For serious amateurs managing work, family, and training stress simultaneously, that protective function matters as much as peak performance gains. Understanding the broader picture of cycling recovery and fatigue helps contextualise what both metrics are actually detecting.
The limitations of HRV are real and worth naming. It's highly individual — your baseline RMSSD at full recovery might be 65ms, while your training partner's is 95ms, and both of you are equally fit. Day-to-day variation is genuine noise, not always signal, which is why most protocols use a rolling 7-day average rather than a single morning score. HRV also picks up non-training stressors: a bad night's sleep, alcohol, travel, even a difficult conversation at work can suppress it. This isn't a flaw so much as a feature — it shows total allostatic load — but it means you need to interpret it in context, not in isolation.
Resting heart rate: simpler, slower, still useful
Let's be honest: most cyclists check their resting HR once, briefly, and then forget about it. That's understandable, because it doesn't change much under normal training conditions. The signal is coarse. You can do three hard weeks of training, feel increasingly fatigued, watch your HRV drift down, and your resting HR might not move more than 2–3 bpm — not enough to clearly flag a problem without context. Where resting HR earns its place is at the extremes: illness, heat, significant overreaching, or jet lag. These conditions consistently produce measurable resting HR elevation, and when you see it, you can act.
There's also a practical argument for tracking resting HR. It requires zero additional effort if you wear a wrist-based heart rate monitor to sleep, and it's harder to game yourself on. HRV readings, particularly via optical wrist sensors, are sensitive to measurement conditions — position, movement, room temperature, time of measurement. Done sloppily, HRV gives you noise. Resting HR from a chest strap or even a reliable wrist monitor is more stable under real-world conditions. For riders who aren't ready to commit to a consistent HRV protocol, resting HR is not a bad fallback. It's just a slower canary in the coal mine.
Experienced cyclists with a long history of self-monitoring often find that both metrics become intuitive over time. They've seen enough of their own patterns to know: when resting HR is up and HRV is down and their legs feel heavy, that's not coincidence. The metrics are corroborating each other. Conversely, a suppressed HRV with normal resting HR and fresh legs is more likely to reflect a stressful week at work than genuine physical fatigue — context that a single number can't supply. If your HRV takes a clear dive, the guide on what to do when HRV drops walks through how to respond without overreacting.
Which metric suits which type of rider
If you're a serious amateur cycling 8–14 hours per week with a structured plan, HRV is the more useful primary metric. It responds faster to training stress, provides actionable day-to-day signals, and helps you make better decisions on days when the plan says "threshold session" but your body hasn't recovered from the weekend. The friction of building a consistent morning protocol is worth it at this training volume. Measure at the same time each morning, before caffeine, after lying still for a few minutes, using a chest strap or a validated optical monitor. Use the 7-day trend, not yesterday's score alone.
If you're training 5–8 hours per week with less rigidity — mixing in life, sport, and occasional cycling blocks — resting heart rate may be sufficient as your primary flag. It requires less protocol discipline and will catch the signals that genuinely require action. Combine it with a simple morning wellness score (sleep quality, mood, leg heaviness rated 1–5) and you have a monitoring system that's good enough without becoming a part-time job. The research backs this up: the combination of any objective metric with a subjective wellbeing score outperforms either alone.
For riders targeting events — a sportive, a gran fondo, a stage race — both metrics earn a place in the final build. HRV gives you the daily resolution to taper correctly; resting HR confirms the broader physiological direction. A rising resting HR in the final week before an event, when training load should be dropping, is a red flag that needs addressing. They're not competitors. Used together, they cover each other's blind spots better than either can alone.
Related reads
HRV for cyclists: how to measure and act on it
Cycling recovery and fatigue: the full picture
What to do when your HRV drops
Sources
- Plews, D.J. et al. (2025). Individual training prescribed by heart rate variability, heart rate and well-being scores in experienced cyclists. Scientific Reports. nature.com
- Boullosa, D. et al. (2021). Heart Rate Variability-Guided Training for Enhancing Cardiac-Vagal Modulation, Aerobic Fitness, and Endurance Performance: A Methodological Systematic Review with Meta-Analysis. IJERPH. PMC8507742
- Flatt, A.A. et al. (2024). Reliability of recovery heart rate variability measurements as part of the Lamberts Submaximal Cycle Test. PMC. PMC11130066
- Plews, D.J. et al. (2025). Monitoring Training Adaptation and Recovery Status in Athletes Using Heart Rate Variability via Mobile Devices: A Narrative Review. MDPI Sensors. mdpi.com
