How to set training zones: methods, estimates and measurements
Compare maximum-heart-rate, reserve and threshold methods, understand age estimates, and learn how speech cues and sensor quality affect zone interpretation.
The same person can get different “Zone 2” numbers from percent of maximum heart rate and heart-rate reserve. Neither calculation measures LT1 or LT2.
Maximum used in both methods: 184 bpm. The default 184/55 bpm values are an example, not a recommendation.
What the calculations actually do
Percent of max uses a percentage of HRmax. Reserve uses HRrest + percentage × (HRmax − HRrest). This guide follows the app’s 50, 60, 70, 80 and 90% boundaries, with a below-zone bucket and an open upper band.
The percentage bands are planning conventions. The Tanaka adult HRmax study supports the age estimate, not a claim that these bands locate your physiological thresholds.
Zone 2 · percent of max
110–127 bpm
Zone 2 · heart-rate reserve
132–144 bpm
App five-zone ranges, in bpm
Zone
% max
Reserve
Z1
92–109 bpm
119–131 bpm
Z2
110–127 bpm
132–144 bpm
Z3
128–146 bpm
145–157 bpm
Z4
147–164 bpm
158–170 bpm
Z5
165+ bpm
171+ bpm
Below Zone 1: % max 0–91 bpm; reserve 0–118 bpm. Continuous whole-bpm bands match the existing calculators.
These are illustrative alternatives, not a confidence interval or a claim about your measurement error. They show how changing one anchor changes the estimated Zone 2 range.
−10 bpm scenario
174 bpm maximum
% max · Zone 2
104–120 bpm
Reserve · Zone 2
126–137 bpm
Current anchor
184 bpm maximum
% max · Zone 2
110–127 bpm
Reserve · Zone 2
132–144 bpm
+10 bpm scenario
194 bpm maximum
% max · Zone 2
116–134 bpm
Reserve · Zone 2
138–151 bpm
Have independently established thresholds?
Use them as separate anchors in the three-zone threshold model. We do not infer them from a percentage formula, age or the five-zone table above.
145 and 170 bpm are fictional example inputs. Enter thresholds established independently through suitable testing; this explorer does not find your thresholds.
1Low intensityBelow the first thresholdBelow 145 bpm
2Between thresholdsFirst threshold to below the second145–169 bpm
3High intensityAt or above the second threshold170+ bpm
A simplified three-zone model: below, between and above two thresholds. Whole-beat display puts the boundary beat in the higher zone. Testing protocols and real responses are more complex than these cutoffs.
Threshold model updated: first threshold 145, second threshold 170 beats per minute.
Zone 2 comparison updated: percent of max 110–127 bpm, reserve 132–144 bpm.
Begin with the source of the input
A calculator can process a number correctly even when the input does not mean what you think it means. Record whether maximum heart rate was independently measured, observed during a session or predicted from age. For a threshold, record the activity, test method and date rather than keeping only the final bpm value.
A measured maximum and a measured threshold answer different questions. One anchors the upper observed response; the other identifies a particular change in physiology or a performance model. Having a credible maximum does not mean all five percentage boundaries are verified thresholds.
Maximum-heart-rate percentages are simple to apply
This method multiplies the maximum-heart-rate anchor by the selected percentages. It is straightforward and makes the assumptions visible. Its physiological limit is that two people at the same percentage may sit on different sides of an individual threshold.
When the maximum is age-predicted, the range contains another layer of estimation. The app uses the Tanaka equation, 208 minus 0.7 times age. That equation was developed from population data and laboratory validation; it is not a personal measurement. Treat a calculated range as a starting estimate, not a reason to dismiss contradictory effort cues.
Heart-rate reserve is maximum minus resting heart rate. A target is resting heart rate plus the selected fraction of that reserve. Because resting heart rate is included, 70% of reserve is not the same bpm value as 70% of maximum.
Use a representative resting value measured under familiar conditions, and keep the input source visible. The additional input does not turn percentage bands into laboratory-tested thresholds. The method explorer helps you compare the arithmetic; it cannot tell you which method best matches your own physiology.
Maximum method: target = fraction × maximum heart rate.
Keep both the method and anchor values with the resulting ranges.
Threshold-based methods need a named test
A threshold-derived target starts with an independently assessed anchor. Lactate sampling, respiratory gas measurements and performance-duration testing each supply different information. Calling a value threshold without the protocol makes it difficult to compare, reproduce or update.
The threshold calculator scales the anchors you enter into planning bands. It does not infer threshold pace or cycling power from heart rate, and a field estimate is not a lab measurement. For a personal assessment, use an appropriate sport-specific test with qualified support rather than a percentage calculator pretending to locate a threshold.
The talk test asks whether speaking remains comfortable as effort increases. A small laboratory study found that the transition toward difficult speech approximated its measured ventilatory threshold. That supports a practical effort cue, not an exact five-zone classification.
Perceived effort describes your experience of the task. Keep the scale and wording consistent when comparing sessions, and say whether you rated a work segment or the whole workout. A whole-session impression can summarize a demanding interval session even when much of its elapsed time was easy.
Check the signal and reassess with comparable observations
An implausible spike, a flat reading through changing effort or missing samples can affect zone totals. Wearable validation has shown that agreement can depend on the device and activity. Check fit and contact, inspect the trace and compare an alternative sensor when the reading materially changes your interpretation.
Separate signal problems from changing physiological response. In warm, prolonged exercise, fluid loss can accompany a higher heart rate at similar output. Keep context in the log. Revisit your settings when the anchor is outdated or repeated comparable sessions conflict with the estimate; one unusual day is not enough to establish a new maximum or threshold.
The examples in this guide illustrate training concepts. Percentage bands and planning heuristics are identified as conventions; they do not measure your individual thresholds. The research library describes study populations, methods, outcomes, and limitations.
Jamnick, Pettitt, Granata, Pyne and Bishop · 2020 · Critical review of measurement methods and their relationship to exercise-intensity domains.
Practical interpretation: Name the method and measurement. Do not treat LT2, a fixed lactate value, FTP and critical power as automatically equivalent.
Limits: Method validity for acute responses does not itself establish which prescription produces the best long-term training adaptation.
Gillinov and colleagues · 2017 · Device-validation experiment comparing contemporaneous wearable readings with ECG.
Practical interpretation: Check signal quality before interpreting a sudden zone change. Compare sensors when an unexpected reading drives a training decision.
Limits: Specific 2017 devices and laboratory conditions. These results cannot rank today's hardware or guarantee that every chest-strap reading is correct.
Seiler and Kjerland · 2006 · Observational training analysis using three ventilatory-threshold zones, heart rate, session effort and lactate measurements.
Practical interpretation: State whether a distribution counts sessions or time, and whether zones mean a three- or five-zone system.
Limits: Small, selected male athlete sample without a randomized comparator. Describing successful athletes' training cannot establish the optimum for all exercisers.
Persinger, Foster, Gibson, Fater and Porcari · 2004 · Laboratory validation comparing standardized speech responses with gas-exchange measurements.
Practical interpretation: Comfortable conversation provides useful context for easy efforts; combine it with repeatable measurements rather than converting speech into a precise bpm boundary.
Limits: Small healthy sample and structured test. An informal conversation check cannot measure an exact threshold or identify five distinct physiological zones.
Tanaka, Monahan and Seals · 2001 · Meta-analysis of group-average maximal heart rate and laboratory cross-validation.
Practical interpretation: Label age-derived zones as estimates. A predicted maximum should not override consistently contradictory personal observations.
Limits: A regression prediction describes a population relationship; it does not measure an individual's maximum or their lactate/ventilatory thresholds.
Meyer, Gabriel and Kindermann · 1999 · Incremental cycling-test analysis comparing fixed percentages with individual anaerobic threshold.
Practical interpretation: A percentage band is a starting convention. Its boundaries should not be presented as individually verified physiological landmarks.
Limits: Specific male athlete sample and threshold definition. It did not test whether a percentage-based training plan could still be useful.
