FTP without a test

FTP without a power meter: estimating a threshold from heart rate and effort

You can estimate a working FTP-equivalent threshold without ever owning a power meter — you just accept a wider error bar. A 30-minute solo time trial gives you a lactate threshold heart rate, and percentage-of-LTHR zones then organize your training the way percentage-of-FTP zones would. Expect roughly a 10 percent margin instead of the 3 to 5 percent a power meter buys you [Achten & Jeukendrup 2003]. Here is how to anchor the number, where heart rate quietly lies to you, and the one benchmark worth borrowing a meter for.

By Jim Camut · Former pro & ex-Bruyneel Academy racer

Updated Jul 17, 20264 chapters7 citations

01 / 04

Anchor a threshold with your heart rate: the LTHR field test

The heart-rate equivalent of FTP is lactate threshold heart rate, and you find it with a 30-minute solo time trial: your average heart rate over the final 20 minutes is your LTHR [Friel 2018]. A field study estimating threshold heart rate from a 30-minute effort reported a standard error of about 8 beats per minute against a lab criterion [McGehee et al. 2005]. From LTHR, percentage zones do the rest.

The protocol is deliberately simple. Warm up, then ride 30 minutes as hard as you can sustain, alone and without drafting, on an open road or a trainer, and take the average heart rate of the last 20 minutes. The first 10 minutes are discarded on purpose: heart rate takes a minute or two to climb toward a steady state, so the early portion understates the threshold response. McGehee and colleagues validated this 30-minute time-trial approach with a standard error of roughly 8 beats per minute versus laboratory lactate testing [McGehee et al. 2005].

Turning LTHR into zones is where the method earns its keep. Friel's percentage-of-LTHR system puts endurance riding below roughly 90 percent of LTHR and threshold work around 95 to 105 percent, with sweet spot and tempo filling the gap [Friel 2018]. These are percentages of a threshold anchor, not of maximum heart rate. The alternative is the Karvonen heart-rate-reserve method, which sets each target as heart rate reserve times an intensity plus resting heart rate, but it requires a true maximum and a true resting heart rate to be accurate [Karvonen et al. 1957].

Percentage-of-LTHR zones approximate percentage-of-FTP power zones because both anchor to the same physiological boundary: the transition near lactate threshold that separates efforts you can hold for hours from efforts that spiral toward failure. For steady, moderate-length riding the two zone systems land in nearly the same place. The catch is that the mapping only holds for steady efforts; it falls apart for anything short or surging, which is the heart of heart rate's accuracy problem.

02 / 04

No monitor at all? Anchor effort with the talk test and RPE

If you have neither power nor heart rate, perceived effort still brackets the same zones. The talk test is the most reliable field cue: the intensity at which speaking a full sentence first becomes difficult sits almost exactly at ventilatory threshold [Persinger et al. 2004], close to the physiological boundary FTP describes. Perceived exertion covers the rest of the range.

Persinger and colleagues showed that the last stage at which a rider can still recite a passage comfortably corresponds to intensity below ventilatory threshold, and the stage where speech turns choppy marks the threshold itself, on both a cycle ergometer and a treadmill [Persinger et al. 2004]. Practically, if you can hold a full-sentence conversation you are in endurance territory; if you can only force out three or four words you are at threshold or above. It costs nothing and needs no device.

Rating of perceived exertion fills in the ladder. On the 1-to-10 scale, a 2 to 3 is easy endurance, 4 to 6 is tempo and sweet spot, 7 to 8 is threshold, and 9 to 10 is the VO2max and anaerobic range you can only hold for minutes. RPE is the least precise anchor in absolute terms, but it is the most robust to heat and fatigue, because it integrates everything you feel and makes you back off automatically when you are cooked, which a fixed heart-rate or power target never does.

None of this is a downgrade to be embarrassed about; professionals raced on perceived effort for decades before power meters existed. The real cost of training with no device is not daily intensity control, which effort cues handle well, but the loss of a trackable number. You cannot see a 5-watt improvement in the phrase felt hard, so progression becomes something you infer rather than measure.

03 / 04

Why heart rate lags, drifts, and quietly lies

Heart rate is a downstream signal, not a direct measure of work, and three confounds widen its error bar to roughly 10 percent against the 3 to 5 percent a power meter delivers [Achten & Jeukendrup 2003]. Lag, cardiovascular drift, and ordinary day-to-day physiology all move your heart rate while your actual threshold sits still.

Lag comes first. Heart rate needs on the order of 90 to 120 seconds to respond fully to a change in intensity, so on short intervals of 30 seconds, one minute, or even three minutes it never catches up to the true effort [Achten & Jeukendrup 2003]. That single fact is why heart rate can govern steady endurance and threshold work but is useless for prescribing VO2max or anaerobic intervals; the number you see is always describing where you were, not where you are.

Cardiovascular drift comes second. During a prolonged steady effort, stroke volume falls and heart rate climbs from about 10 to 20 minutes in even when power is dead constant, as Coyle and Gonzalez-Alonso documented [Coyle & Gonzalez-Alonso 2001]. Heat and dehydration amplify the effect, so on a hot ride your heart rate can sit 10 to 20 beats per minute higher for the very same wattage. Chase a fixed heart-rate target on that ride and you will unknowingly pedal easier and easier just to hold the number down.

Day-to-day physiology comes third. Sleep debt, caffeine, stress, altitude, and the early stages of illness all shift heart rate at a given effort, and Achten and Jeukendrup note that heart-rate-based predictions of aerobic capacity can deviate up to 20 percent from the true value [Achten & Jeukendrup 2003]. None of this makes heart rate useless. It means a heart-rate zone is a fuzzy band rather than a hard line, and on any day the number reads strange you should cross-check it against the talk test.

04 / 04

The practical path: borrow power for one benchmark

The highest-leverage move for a rider without power is a single borrowed-power benchmark. One ride on a friend's power meter, a rental, or a smart trainer's estimated watts calibrates your entire heart-rate-to-effort map, after which you can keep training by heart rate against a known reference instead of a guess.

The tactic is cheap. Record one 20-to-30-minute hard effort with both power and heart rate captured on the same file, and you learn exactly what your LTHR corresponds to in watts. From then on your heart-rate zones carry a power anchor even though you never bought a meter. A smart trainer's estimated power is less accurate than a direct-force meter, but for a one-time calibration it is more than close enough to place your threshold [Allen et al. 2019].

This spoke is the branch of our FTP without a test pillar for riders who have no power at all. That pillar assumes you already own months of power data and shows how to estimate your threshold from your Strava power curve with a Critical Power model, no forced test required. The goal here is identical — estimate an FTP-equivalent threshold without a formal test — but the anchor is heart rate and effort instead of watts, and the moment real power data appears the power path becomes strictly better and you graduate to it.

AdaptCycling is built for exactly that graduation. During onboarding we check whether your Strava history contains power; if it does, we model FTP from the curve, and if it does not, we fall back to heart-rate zones built from your threshold and still generate a full plan, honest about the wider margin. The instant a ride with power lands — a borrowed meter, a new trainer, a rental — we re-derive your threshold from the power curve and the estimate tightens from about 10 percent toward 3 to 5 percent. You are never blocked from a plan for lacking a power meter, and never stuck with the heart-rate estimate once better data exists.

Common questions

Quick answers

How accurate is an FTP estimate from heart rate alone?

Roughly a 10 percent margin, against the 3 to 5 percent a power meter delivers [Achten & Jeukendrup 2003]. That is precise enough to organize your zones and train consistently, but not precise enough to chase small watt gains week to week. The estimate tightens the moment you record even one ride with power, because heart rate stops being your only reference.

What is the difference between LTHR zones and max-heart-rate zones?

LTHR zones anchor to your lactate threshold heart rate, a repeatable number from a 30-minute time trial [Friel 2018], while percentage-of-maximum zones anchor to a maximum most riders only estimate. Because a wrong maximum corrupts every percentage-of-max zone, threshold-anchored LTHR — or the heart-rate-reserve Karvonen method, which also needs a true resting heart rate [Karvonen et al. 1957] — is usually the more reliable choice for cyclists.

Can I use my smart trainer's power number as a real benchmark?

For one calibration effort, yes. A smart trainer's estimated power is less accurate than a direct-force power meter, but a single 20-to-30-minute effort recorded with both power and heart rate is enough to map your LTHR to watts [Allen et al. 2019]. Treat that number as a reference point you calibrate against, not a precise figure to defend every day.

Why does my heart rate climb on long rides even when I am not going harder?

Cardiovascular drift. Stroke volume falls and heart rate rises from about 10 to 20 minutes into a steady effort, and heat and dehydration amplify it [Coyle & Gonzalez-Alonso 2001]. If you chase a fixed heart-rate number you will ride progressively easier to hold it. Let the zone be a soft band and cross-check with perceived effort on long or hot days.
References

Sources cited in this guide

  1. 01
  2. 02
  3. 03
    McGehee et al. 2005. A Comparison of Methods for Estimating the Lactate Threshold. Journal of Strength and Conditioning Research.
  4. 04
    Achten & Jeukendrup 2003. Heart Rate Monitoring: Applications and Limitations. Sports Medicine.
  5. 05
    Coyle & Gonzalez-Alonso 2001. Cardiovascular Drift During Prolonged Exercise: New Perspectives. Exercise and Sport Sciences Reviews.
  6. 06
    Persinger et al. 2004. Consistency of the Talk Test for Exercise Prescription. Medicine & Science in Sports & Exercise.
  7. 07
    Karvonen et al. 1957. The Effects of Training on Heart Rate: A Longitudinal Study. Annales Medicinae Experimentalis et Biologiae Fenniae.
In this series

More inside FTP without a test

Start here · Foundational guide

FTP without a test: estimating threshold from real rides

How to find FTP without a 20-minute or ramp test — using your power curve, critical-power modeling, and the rides you've already done.

Read the full guide

Other articles in this series

  1. 01

    Indoor vs outdoor FTP: why the numbers differ

    Why your indoor FTP reads lower than outdoor — heat, cooling, motivation, and power-source differences — and whether to keep two numbers.

  2. 02

    20-minute vs 8-minute FTP test: which to use

    How the 20-minute and 8-minute FTP tests differ, the multipliers each uses, and which one fits your riding — plus why both are only protocols.

  3. 03

    Why cycling apps show you different FTP numbers

    Strava, Xert, Intervals.icu, and TrainingPeaks can each report a different FTP. Why the estimates diverge and which one to trust.

  4. 04

    Is your ramp test FTP too high? Why it happens

    Ramp tests overestimate FTP for anaerobically-gifted riders and underestimate it for diesels. Why the 75% rule misfires and how to correct it.

  5. 05

    How often should you test your FTP?

    How often to re-test FTP as a self-coached cyclist — twice a year, not every six weeks — and why modeled estimates change the cadence.

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