Cycling Power Zones Calculator
The formula
What the power zones tells you
Coggan’s seven-band model anchored to functional threshold power — the highest average wattage one hour can hold.
Calculation: Coggan 7-zone model as %FTP. Enter your inputs and every substitution is shown below the result.
Reading the result
The zones only mean something if the FTP test was honest; a flattered FTP makes every zone junk.
Rules of thumb: Z2 56–76%, Z3 76–90%, Z4 91–105% of FTP
Limitations and best practice
Rider-type labels change how zones are used, not where they sit — the percentages are the same for everyone at a given FTP.
This calculator gives an estimate based on standard formulas; it is not professional financial, medical, legal or engineering advice. Verify anything you plan to act on with a qualified professional and your own records.
Frequently asked questions
Do power zones beat HR zones?
How often should I retest FTP?
Source & methodology
Coggan & Allen, Training and Racing with a Power Meter.
Cycling Power Zones: what this tool answers
This page was written for one job: turning your own inputs into a defensible figure, with the working shown. Searchers land on a Cycling Power Zones page for three reasons — to plan, to compare options, and to check that somebody else’s arithmetic is honest. This tool serves all three, and everything after the calculator explains the model instead of hiding it.
Most confusion about Cycling Power Zones comes from mixing up the input you control with the input you merely observe. The formula treats them identically, but your decisions should not: one deserves measurement, the other deserves a defensible estimate.
Like most useful measures, Cycling Power Zones is a summary, and summaries hide as much as they reveal. The companion outputs and the input table are here to reopen what the headline compressed.
Nothing below is stock text pasted around a number: the worked example computes sweet spot band = 224 W from this tool’s own defaults, and the sensitivity section ranks the inputs that move the result — FTP first, at ≈10.0 % of the headline for a ten-percent error either way in that input. Read the sections in order and you will be able to reproduce every figure by hand.
Every input in Cycling Power Zones, and what it does to the answer
The engine implements a single stated model: Coggan 7-zone model as %FTP. There is no hidden coefficient and no login-gated precision — the formula printed is the formula executed, which is also what makes the result citable.
FTP (W) (example value 255) is a plain measured quantity — the unit shown in the label is the unit the formula expects. If you are unsure what belongs in this field, look at the printed steps: the substitution shows exactly how the engine uses it.
Rider type (example value Sustained (all-rounder)) is a branching choice rather than a figure you measure; the per-option effects are computed below. If you are unsure what belongs in this field, look at the printed steps: the substitution shows exactly how the engine uses it.
Cycling Power Zones on the example inputs: the complete substitution
Rather than describe the calculation, here it is end to end — every substitution in order, starting from the inputs above. Starting figures: FTP (W), Rider type. Run to the end, the sweet spot band resolves to 224 W — FTP 255 W: tempo 194–230 W, threshold 232–268 W, VO2max up to 306 W on the bands this tool uses.
- Zone floors/ceilings are fixed multiples of FTP (56/76/91/106/121/151%)
- FTP 255 W → Z4 spans 232–268 W
- Sweet spot = 84–97% of FTP = 214–247 W
Recovery ceiling — 140 W. Compare it against the main result of 224 W before drawing conclusions.
Endurance range — 142.8–191. This is the number experienced users quote when the headline alone would mislead.
VO2max floor — 270 W. Compare it against the main result of 224 W before drawing conclusions.
Neuromuscular floor — 385. If your inputs change, this is usually the first companion figure to move.
Re-running with your own figures is instant; re-running by hand once is the best way to know the tool is telling you the truth.
How far Cycling Power Zones can reasonably move
Read this table as the practical error bar on the headline figure. It answers the question people actually have after seeing a single number: how wrong could this be if the main input is off by ten or twenty percent?
| FTP setting | Sweet spot band |
|---|---|
| 80 % of the example value | 180 W |
| 90 % of the example value | 202 W |
| example inputs | 224 W |
| 110 % of the example value | 247 W |
| 120 % of the example value | 269 W |
Across 5 settings of FTP, the result spans 180 W to 269 W. A decision that only works at one row of this table is a decision waiting for an input to move. Reproduce it in the form above by editing FTP alone; the substitution steps will follow your figures exactly.
Where Cycling Power Zones is fragile — and where it is not
This list was computed for this specific engine just now: each numeric input was nudged ±10 % while every other field held its example value, and the sweet spot band was recalculated from scratch. It is the fastest honest answer to “what matters most in Cycling Power Zones?” — and it is specific to these defaults, because sensitivity moves with the starting point.
- Nudge FTP by ±10 % and Cycling Power Zones lands between 202 W and 247 W (sensitivity ≈10.0 %)
FTP is the dominant lever here: ten percent either way moves the result by about 10.0 %, from 202 W to 247 W. Spend your verification effort there first. Everything below that can stay approximate, which is a licence to stop chasing data that would not change the decision.
Interpreting the Cycling Power Zones verdict
Nobody acts on a bare figure — they act on a figure with a comparison attached. The verdict attached to the default calculation — “FTP 255 W: tempo 194–230 W, threshold 232–268 W, VO2max up to 306 W” — is one band on a ladder your own figure may sit somewhere else on. The sensitivity list shows how far a modest input error moves you along that ladder: for FTP, ±10 % covers 202 W to 247 W. The practical reading rules: ask what would have to change to move you one band. If the answer is “a small, plausible input difference”, the band itself is not the finding — the uncertainty is.
Where Cycling Power Zones sits next to similar measures: this tool answers “how much is the Cycling Power Zones”, while the related calculators answer “what do I do about it”. Reading the result alone tends to over-weight a single snapshot; pairing it with the companion tools above turns the number into a decision.
How people get Cycling Power Zones wrong
Rider-type labels change how zones are used, not where they sit — the percentages are the same for everyone at a given FTP. This calculator gives an estimate based on standard formulas; it is not professional financial, medical, legal or engineering advice. Verify anything you plan to act on with a qualified professional and your own records.
Mixing units between tools. Metric and imperial entry paths round differently — keep one system top to bottom.
One mistake is specific to this engine: assuming every input matters equally. The computation above shows FTP dominating — a careful figure there beats false precision everywhere else.
A final trap is presentation: reporting Cycling Power Zones to more decimal places than the inputs support. The tool prints what the arithmetic gives; you should quote only what your least precise field justifies.
Cycling Power Zones verification checklist
- State, in one sentence, which convention each rate, unit or period in the form is using.
- Compare the result with one independent method or published benchmark.
- Put FTP under a magnifier; the sensitivity table above is the reason why.
- Note the date and the inputs beside the number so the figure can be audited later.
- Recompute once with the dominant input deliberately set low, and see whether the decision changes.
- Repeat the ±10 % test on the inputs that matter and see whether the decision — not just the number — still holds.
Five steps from raw inputs to a figure you can defend
The tool does the arithmetic; the routine below is what makes the arithmetic trustworthy. Five steps, a minute total — and afterwards you will know not just what the number is, but which assumption produced it.
Step 1 — start from evidence. The inputs behind Cycling Power Zones are ftp (w), rider type. Write them down with their source next to each one; if you cannot name where a figure came from, that is the input most likely to be wrong. Estimates improve most when the worst case is written down in ink.
Step 2 — baseline before exploration. Get one defensible Sweet spot band on screen before you start nudging numbers. Without a baseline, every variation looks interesting and none of them means anything. When two sources disagree, it is almost never the arithmetic that differs.
Step 3 — measure what deserves measuring. The ranked levers above tell you where a careful figure pays off. Everything else can stay approximate, which is a licence to stop hunting for data you do not need. Re-running a number costs seconds; retracting a decision costs considerably more.
Step 4 — run the scenario trio. Expected, pessimistic, optimistic. The gap between pessimistic and expected is the number to plan against; the optimistic result is useful only as a ceiling. If the answer changes your behaviour, it deserves a second run with different assumptions.
Step 5 — save the story with the figure. A number without its inputs and its date is unusable within a quarter. Record 224 W, the assumptions behind it, and today’s date; your future self will be auditing a stranger’s arithmetic. Note the assumption you are least sure about; that is where the real risk lives.
The real-world conversations Cycling Power Zones settles
Health & Medical arguments end at arithmetic or they do not end. Cycling Power Zones is the arithmetic: 224 W on the example inputs, reproducible by anyone who types the same numbers. Most surprises in numbers are surprises about inputs, not about formulas.
The companion outputs — Recovery ceiling and Endurance range — exist for the second stage of that screen: the headline sizes the prize, while the companions describe the trade-off you are accepting to get it. The test of a good estimate is not that it feels right but that it changes what you do.
Treat Cycling Power Zones like a smoke alarm rather than a painting — its value is in being tested periodically, not in being admired once. Note the assumption you are least sure about; that is where the real risk lives.
Cycling Power Zones — frequently asked questions
What affects Cycling Power Zones the most?
The short answer: FTP. The longer answer is the sensitivity table on this page, where every numeric input was probed by ten percent and the sweet spot band recalculated — FTP moved it furthest, by roughly 10.0 % (202 W to 247 W).
What is a typical Cycling Power Zones?
With the example inputs on this page the result is 224 W, labelled “FTP 255 W: tempo 194–230 W, threshold 232–268 W, VO2max up to 306 W”. “Typical” varies with situation, which is why every result here ships with its verdict band and its sensitivity list: they turn one figure into a range you can locate yourself inside.
How do I calculate Cycling Power Zones by hand?
Use the stated model — Coggan 7-zone model as %FTP — and substitute in the order the tool prints (it starts from Zone floors/ceilings are fixed multiples of FTP (56/76/91/106/121/151%)). On the example inputs the hand route lands on 224 W, exactly what the calculator shows. A spreadsheet reproduces it in two or three cells; doing it once by hand is what makes the automated answer trustworthy.
What happens to Cycling Power Zones if ftp changes by 10 %?
Try it in the form above and the printed substitution will follow you; the pre-computed answer for the defaults is 202 W to 247 W across the ten-percent probe, i.e. ≈10.0 % sensitivity on the sweet spot band.
Is the Cycling Power Zones result of 224 W good or bad?
Neither, on its own — the label “FTP 255 W: tempo 194–230 W, threshold 232–268 W, VO2max up to 306 W” is the band this figure falls in for the example inputs, and your own inputs will place you elsewhere on the same ladder. Judge the number against your history and your alternatives, and remember that a ten-percent error in FTP alone moves it by ≈10.0 %.
Is Cycling Power Zones accurate?
The arithmetic is exact: Coggan 7-zone model as %FTP is evaluated with full floating-point precision and every substitution is printed in the worked example. What limits accuracy is input quality and the model’s assumptions, so treat the 224 W result as the correct answer to the question you typed — and check the assumptions section before acting on it.
How do I calculate Cycling Power Zones manually?
Write down the inputs, then follow the printed steps in order — Coggan 7-zone model as %FTP. A spreadsheet replicates it with two or three cells. The manual route is worth doing once to build intuition; after that the calculator saves time and eliminates transcription slips.
Do power zones beat HR zones?
They respond instantly and ignore heat/caffeine — but they cannot see fatigue, where HR can.
How often should I retest FTP?
Every 4–6 training weeks; the zones are only as fresh as the anchor.
Do I need an account to use this Cycling Power Zones calculator?
No, and no data leaves the tab. The engine runs in the page itself, which is why the worked example, the bands and the sensitivity ranking all respond instantly to your keystrokes.
The vocabulary of Cycling Power Zones
- Recovery ceiling
- 140 W in the default Cycling Power Zones calculation — one of the secondary figures an experienced reader checks before trusting the primary number.
- Endurance range
- 142.8–191 on the example inputs — a companion figure printed beside the headline of Cycling Power Zones so that no result is read in isolation.
- VO2max floor
- 270 W for the Cycling Power Zones worked case; it sits next to the main result because it carries context the headline leaves out.
- Sweet spot band
- The primary output of this tool: 224 W for the default inputs, computed exactly from Coggan 7-zone model as %FTP.
- Worked example
- Every substitution in order, from the example inputs to 224 W — the audit trail for the headline figure.
- Verdict band
- A named zone on the range of plausible results; the example inputs land in “FTP 255 W: tempo 194–230 W, threshold 232–268 W, VO2max up to 306 W”, and your inputs may not.
- Sensitivity (±10 %)
- How far the Cycling Power Zones moves when a single input is nudged ten percent either way; the ranked list on this page is computed live from this engine.
Method, sources and what this tool cannot tell you
Everything above runs on one stated formula, applied without hidden coefficients: Coggan 7-zone model as %FTP. Source of record: Coggan & Allen, Training and Racing with a Power Meter. Any other implementation of this model should return the same figure for the same inputs. If one does not, the difference is in its assumptions — which this page prints and that one probably does not.
Treat the output as a precise answer to the question you typed: exact arithmetic, transparent formula, published source, no hidden rounding. The sensitivity table above is part of that promise rather than a bonus: it lets you see how much of the result depends on how carefully you measured.
What to do with your Cycling Power Zones next
Re-run the calculation with your own figures, stress the two most sensitive inputs by ±10 %, and only then act on the result.
The audience here is people who need one trustworthy number before their next decision. Everything you need to defend the result — formula, substitution, sensitivity, source — is printed above, so the only remaining variable is the honesty of your inputs.