Heart Rate Zones for Runners
An evidence informed guide for running coaches to maximum heart rate formulas, the Karvonen method, threshold based zones and the messy reality behind a neat five colour chart.
Heart rate shows how the athlete is responding to the run. Use it alongside pace, perceived effort, breathing, terrain and conditions to understand the full training demand and make better coaching decisions.
Heart rate is attractive because it is accessible. Pace tells a coach what the runner produced. Heart rate adds information about the runner’s internal cardiovascular response. That can be genuinely useful.
The problem begins when a watch turns one signal into five apparently precise zones without showing the assumptions underneath. A typical calculation may move from age, to an estimated maximum heart rate, to a chosen percentage system, to a zone label, and finally to a training decision. Every step can add uncertainty.
This article helps coaches use the information without becoming overawed by the arithmetic. The numbers may be exact. The physiological boundaries usually are not.
The chain of estimation
Before prescribing a zone, identify how many assumptions sit between the athlete and the number on the screen.
Estimate HRmax
An age equation may miss an individual runner’s true maximum by roughly 10 beats per minute or more.
Choose a model
Percentage of maximum heart rate, heart rate reserve and threshold models answer different questions.
Name the zones
“Zone 2” can mean low intensity in one system and between thresholds in another.
Coach the session
Heat, hills, fatigue, device error and heart rate lag can change what the number means today.
These are closer to the physiological boundaries coaches usually intend their zones to represent.
The Karvonen method has a sound physiological basis, but it still estimates rather than measures thresholds.1
Useful when little athlete data exist, provided the coach is explicit that the range is provisional.
Fixed percentages do not reliably place every runner in the same physiological intensity domain.3
Calculate, compare and question the result
Use the same athlete data across four models. The calculator deliberately shows the method and its limitations, not just the answer.
Heart rate reserve zones
The same label can produce a very different run
Percentage of HRmax ignores resting heart rate. Heart rate reserve uses both ends of the athlete’s range. Neither automatically identifies VT1 or VT2.
Age formula comparison
These are population equations, not competing ways to discover one runner’s true maximum. In 4,043 runners, common prediction models showed individual errors of roughly 9 to 10 beats per minute.4
What does “70 to 80%” mean?
This live comparison uses the athlete values entered above.
Translate “Zone 2” before prescribing it
The phrase has become popular, but it is not portable between systems. Select a model to see what the number commonly means.
Zone label translator
Choose the method that fits the evidence you actually have
The best method is not the most sophisticated option in a menu. It is the best supported option for this athlete and this session.
What athlete data are available?
How useful is live heart rate here?
Heat and prolonged running
Heart rate can rise at the same pace as cardiovascular drift develops. Interpret the number as changing internal strain, not necessarily a sudden loss of fitness.9
Hills, wind and pace changes
Heart rate responds after the workload changes. On rolling terrain, pace and heart rate may appear to disagree simply because one moves faster than the other.
Device quality
A well fitted chest strap is generally preferable when precise exercise heart rate matters. Wrist optical devices can be useful, but movement and rapid changes may reduce accuracy.8
Resting heart rate
Use several calm morning readings under similar conditions. A single hurried reading turns the “individualised” Karvonen calculation into rather expensive guesswork.
Talk test and RPE
Comfortable speech and perceived effort provide useful cross checks when a zone is uncertain or conditions shift.10
Medication and health
Generic HRmax and HRR percentages may be unsuitable when medication blunts or alters heart rate. Use qualified clinical or exercise guidance rather than reverse engineering the watch.13
Three cases a running coach will recognise
The purpose of each case is not to find a magic number. It is to show the coaching decision hidden behind the calculation.
Same maximum, different reserve
Asha and Ben both have a running HRmax of 190 bpm. Asha’s resting HR is 48. Ben’s is 68.
The HRmax method treats them identically. HRR accounts for their different usable ranges, although it still does not prove where either runner’s VT1 sits.
The formula misses the runner
A 40 year old runner has an age predicted HRmax of about 180 bpm, but repeatedly reaches a credible 192 bpm in hard races.
A low predicted maximum shifts every percentage zone down. The calculator may be functioning perfectly while the prescription is wrong for the athlete.
The long run drifts upward
A runner holds the same pace but moves from 145 bpm early to 156 bpm after 75 minutes on a warm day.
The higher value may reflect increasing internal strain. It does not, by itself, diagnose poor aerobic fitness, dehydration or overtraining.
What the research supports, and what it does not
Open each section for the evidence informed reasoning behind the coaching recommendations.
Heart rate reserve is calculated as HRmax minus resting HR. The target is then resting HR plus a chosen percentage of that reserve. Research has shown that percentage of HRR corresponds more closely with percentage of oxygen uptake reserve than with percentage of maximal oxygen uptake.1
That gives the Karvonen method a reasonable basis for prescribing broad aerobic intensity. It also accounts for resting heart rate, so two runners with the same maximum are not automatically given the same target.
A large analysis of 863 exercise tests found substantial variation in the position of ventilatory threshold when expressed relative to oxygen uptake reserve and heart rate reserve.2 Reviews of exercise intensity prescription reach a similar conclusion: fixed percentages of maximum values do not reliably place all people in distinct physiological domains.3
This is why an “easy” percentage can sit below VT1 for one runner and nearer or above it for another. Fitness level, testing method and individual physiology all matter.
In a study of 4,043 runners completing maximal exercise testing, common HRmax prediction models showed root mean square errors of roughly 9 to 10 beats per minute.4 A 2026 exploratory study of 4,375 endurance athletes also found wide individual disagreement between age equations and self reported field maximum values, although its field data were self reported and should not be treated as laboratory validation.5
Small average bias can be misleading. A formula may be accurate for the group overall because overestimates and underestimates cancel each other out, while still being notably wrong for an individual athlete.
A 2026 study of 1,411 endurance trained runners reported mean heart rates of 85.1 ± 4.6% of HRpeak at VT1 and 93.5 ± 2.5% at VT2.6 These values are more runner specific than a generic adult exercise table.
However, the standard deviations and subgroup differences are the important part of the story. The cohort averages can provide a reference or sense check, but they are not a test result for the runner standing in front of the coach.
In a physiological three zone model, Zone 1 sits below the first threshold, Zone 2 sits between the first and second thresholds, and Zone 3 sits above the second threshold. In many consumer five zone systems, Zone 2 instead refers to a relatively easy aerobic percentage band.
A 2025 expert viewpoint highlighted the lack of a universally standardised definition for the popular phrase “Zone 2 training” and favoured defining it relative to the first threshold.11 There remains debate about terminology and the best practical marker, so coaches should state the system rather than assume shared meaning.
During continuous or longer steady efforts, heart rate can help monitor internal intensity once the response has stabilised. During brief repetitions, heart rate and oxygen uptake lag behind the rapidly changing workload, so athletes can finish the repetition before heart rate meaningfully represents its intensity.12
During prolonged running, heat and cardiovascular drift can push heart rate upward at an unchanged pace.9 Device error, terrain, stress, illness and medication can add further variation.
Five questions before using a heart rate zone
Start with purpose, not the number the watch happens to offer.
Separate measured, observed, estimated and assumed inputs.
It is more informative in steady running than in short repetitions or sprint work.
Check pace, breathing, talk test, RPE, mechanics, terrain and conditions.
Coach trends across comparable sessions rather than reacting to every beat.
Final thought
Heart rate zones are useful when they make coaching decisions clearer. They become less useful when the apparent precision of the result hides the uncertainty of the inputs.
For many recreational runners, a sensible HRR range combined with breathing, talk test and RPE is a practical place to begin. For advanced runners, individual thresholds, critical speed, race performance and well understood field responses provide stronger anchors.
The goal is not to choose between data and coaching judgement. It is to use data that improves judgement. The watch can count every beat. It still cannot attend the debrief.
Selected evidence and further reading
The reference list prioritises peer reviewed primary studies, reviews and runner specific evidence.
Each entry links to the source. Where a paper sits behind a paywall the link points to its abstract or record. Figures quoted in the article are taken from these papers, not recalled from memory.
- Swain DP, Leutholtz BC (1997). Heart rate reserve is equivalent to percentage oxygen uptake reserve, not percentage VO₂max. Medicine & Science in Sports & Exercise.
- Gaskill SE, Skinner JS, Quindry J (2023). Ventilatory threshold related to VO₂ reserve, heart rate reserve and rating of perceived exertion in a large varied sample. Medicine & Science in Sports & Exercise.
- Jamnick NA, Pettitt RW, Granata C, Pyne DB, Bishop DJ (2020). An examination and critique of current methods to determine exercise intensity. Sports Medicine.
- Kasiak PS et al. (2023). Validity of maximal heart rate prediction models among runners and cyclists. Journal of Clinical Medicine.
- Ausland Å, Kelemen B, Seiler S (2026). An exploratory study of maximal heart rate determination in endurance athletes: laboratory testing versus field based. Frontiers in Sports and Active Living.
- Esteve Lanao J et al. (2026). Towards accurate reference values for heart rate and oxygen consumption at ventilatory thresholds in endurance trained runners. Sports.
- Wolpern AE et al. (2015). Is a threshold based model a superior method to the relative percentage concept for establishing individual exercise intensity? BMC Sports Science, Medicine and Rehabilitation.
- Pasadyn SR et al. (2019). Accuracy of commercially available heart rate monitors in athletes: a prospective study. Cardiovascular Diagnosis and Therapy.
- Wingo JE (2012). Cardiovascular drift during heat stress: implications for exercise prescription. Exercise and Sport Sciences Reviews.
- Bok D et al. (2022). The Talk Test, Feeling Scale and rating of perceived exertion for exercise prescription and monitoring. International Journal of Environmental Research and Public Health.
- What Is “Zone 2 Training”? Experts’ viewpoint on definition, training methods and expected adaptations (2025). International Journal of Sports Physiology and Performance.
- Coates AM, Joyner MJ, Little JP, Jones AM, Gibala MJ (2023). A perspective on high intensity interval training for performance and health. Sports Medicine.
- Wonisch M et al. (2003). Influence of beta blocker use on percentage of target heart rate exercise prescription. European Journal of Cardiovascular Prevention & Rehabilitation.
- Nes BM et al. (2013). Age predicted maximal heart rate in healthy subjects: the HUNT Fitness Study. Scandinavian Journal of Medicine & Science in Sports.
- Tanaka H, Monahan KD, Seals DR (2001). Age predicted maximal heart rate revisited. Journal of the American College of Cardiology.
- Benítez-Muñoz JA et al. (2024). Differences in the ventilatory thresholds in treadmill according to training status in 971 males and 301 females. European Journal of Applied Physiology.
- Fernandes TL et al. (2016). Post-analysis methods for lactate threshold depend on training intensity and aerobic capacity in runners: an experimental laboratory study. São Paulo Medical Journal.
- Quinn TJ, Coons BA (2011). The Talk Test and its relationship with the ventilatory and lactate thresholds. Journal of Sports Sciences.
All links checked August 2026.

