Readiness is the wrong question. Preparedness is the right one.

Root Physical Therapy

Clinical Note — No. 09

Sports Rehabilitation

Readiness is the wrong question.
Preparedness is the right one.

Your ring tells you how you feel today. A 2026 paper argues that's the less important question — and that backing off every time fatigue shows up may be building fragility rather than resilience.

Georgetown, Seattle11 min readEvidence-based

Written by the Doctors of Physical Therapy at Root Physical Therapy — on-site inside Root Strength, Georgetown. This note follows directly from our piece on overtraining and under-recovery, and takes the argument one step further. If your training has stalled and you can't tell whether to push or back off, book an assessment — no referral needed in Washington.

Ten years ago, almost nobody outside elite sport had a daily number telling them whether to train hard. Now most people in our gym wake up to one. The wearable industry solved a measurement problem nobody had — and in doing so, it quietly changed what people think the question is.

A perspective paper published in Frontiers in Physiology this year gives that shift a name: the readiness–preparedness bias. Its argument is that practitioners, coaches and athletes now place too much weight on how someone is functioning on a given day, and far too little on whether they've built the underlying capacity their sport actually demands.

It's a distinction worth sitting with, because it changes what you do with a bad number.

One

Two different questions

Readiness and preparedness get used interchangeably in gym conversation. They're not the same thing, and they're measured on completely different timescales.

The Distinction

Figure 01

Readiness

Today · hours to days

• How you feel and function right now
• Sleep last night, soreness, mood, HRV
• Acute neuromuscular test performance
• Fluctuates constantly and by large margins
• Answers: should I adjust today's session?

Preparedness

Months to years

• The capacity you've accumulated through training
• Strength, tissue tolerance, conditioning, skill
• Benchmarked against the demands of your sport
• Moves slowly and only in response to real load
• Answers: can I handle what I'm asking of myself at all?

The paper's central claim is about sequencing. Readiness data becomes genuinely decision-relevant only once someone has developed sufficient sport-specific preparedness, benchmarked against normative standards for their sport, level and position. Before that point, it's answering a question that isn't the one holding them back.

An underprepared athlete with a green readiness score is still underprepared.

Two

Why the bias is so easy to fall into

Because readiness is measurable this morning and preparedness isn't. One arrives on your phone before you're out of bed. The other requires a physical assessment, a comparison against what your sport actually demands, and months of patient work to change.

There's also an asymmetry in how errors feel. Training someone hard and having them get hurt is visible, attributable and uncomfortable. Training someone too cautiously for two years produces an athlete who is simply less capable than they could have been — and nobody blames the caution, because the counterfactual is invisible.

That asymmetry compounds. The safety-first logic that sounds obviously correct in any single decision produces, over hundreds of decisions, an athlete who has never been exposed to the loads their sport will eventually apply. This is the same concern practitioners have raised about GPS-based load norms in team sport: metrics built from historical averages get treated as ceilings, and athletes end up under-trained in the name of being protected.

Three

Transient fatigue is the mechanism, not the warning

This is the part with the most direct consequences for how you train. The authors argue that transient fatigue is a typical part of adaptation, not an alert signal — and that consistently reducing training whenever it appears may promote biological fragility instead of resilience.

Which is the same physiology we covered in our note on overtraining versus under-recovery. Functional overreaching — a short-term performance dip followed by a rebound — is what a productive training block feels like from the inside. It's supposed to feel slightly bad in the middle. If your rule is "back off when the number is red," you will systematically remove the stimulus at exactly the moment it's working.

The practical version

A bad readiness score is information, not an instruction. It tells you your body is currently carrying load. Whether that's a reason to reduce today's session depends entirely on context the device doesn't have: where you are in a block, whether you're building toward something, whether this is week one of a hard phase or week five, and — critically — whether your baseline capacity is anywhere near what your sport requires.

Where the evidence stands — stated plainly

This is a perspective paper, not a trial. The authors frame the readiness–preparedness bias explicitly as a theoretical decision pattern rather than a universally proven error, and nobody has randomised athletes to readiness-led versus preparedness-led programming to see who ends up more robust. What makes it worth taking seriously is that it's consistent with what we already know: that the popular load-management metrics have weak predictive records, and that tissue tolerance is built by exposure to load rather than protection from it.

Four

What preparedness actually looks like

If preparedness is the more important variable, it's fair to ask what it consists of. In practice it's four things, and none of them appear on a wearable.

The Four Capacities

Figure 02

I

Strength relative to the demand

Not strength in the abstract — strength measured against what your sport actually asks. A fighter who can't control their own bodyweight through a range of positions is underprepared regardless of how well they slept. Benchmarks beat feelings, and they're stable enough to track over months.

II

Tissue tolerance to the specific load

Tendons, bone and connective tissue adapt to what they're repeatedly exposed to, and they adapt slowly — considerably slower than the cardiovascular system. This is why people can build fitness fast and then break: the engine outpaces the chassis. The only way to raise tolerance is graded exposure over time.

III

Conditioning at the right intensity

Being fit enough to complete a session isn't the same as being fit enough to complete it with technique intact in the last round. Skill degrades with fatigue before output does, and the point at which it degrades is trainable — but only by training near it.

IV

Exposure to the actual thing

Preparedness is specific. General fitness transfers less than people hope. If your sport involves clinching, sprinting, or repeated maximal efforts across a day, you become prepared for those by doing them progressively — not by doing something adjacent while waiting for a green light.

Note what all four have in common. Every one is raised by exposure and lowered by avoidance — which is precisely the opposite of what a readiness-led approach produces when it's applied without context.

Five

When readiness data does earn its place

None of this is an argument for ignoring how you feel, and the paper isn't making one. Its recommendation is to retain monitoring but recalibrate its role — giving greater decision weight to preparedness benchmarks until an athlete approaches adequate sport-specific capacity, at which point acute readiness can more strongly inform daily load management.

So the sequence runs: build the capacity first, then let daily data fine-tune its expression. For a well-prepared athlete near the ceiling of what they can tolerate, a genuinely poor readiness signal is meaningful — the margin for error is small and the cost of a bad session is real. For someone still building, that same signal is mostly noise sitting on top of a much larger unsolved problem.

The question to ask instead

Rather than "am I recovered enough to train today?", the more useful question is "am I currently capable of what I'm asking my body to do?" If the honest answer is no, the solution is a plan that progressively builds that capability — not a series of daily decisions to do slightly less. The second question changes what you work on. The first only changes what you skip.

When reduced capacity is medical, not a training problem

Everything above assumes an otherwise healthy athlete. These warrant medical assessment rather than a programming change:

Fatigue that doesn't improve with genuine rest

Unintentional weight loss

Breathlessness or chest pain on exertion

Loss of menstrual periods

Focal pain that worsens session to session

Persistent low mood or loss of interest in training

Six

The bottom line

The monitoring tools aren't the problem. The problem is that they answer a narrow question extremely well, and people have generalised that answer into a training philosophy. How you feel today is a poor proxy for what you're capable of, and an even poorer guide to what you should be building.

If you take one thing from this: the athletes we see who plateau for years usually aren't over-training. They're under-exposed — held at a load they tolerate comfortably, by a system designed to keep them comfortable, and then puzzled that their capacity never rises. Resilience is an adaptation. Adaptations require a stimulus you have to recover from.

The Short Version

• Readiness is how you function today. Preparedness is the capacity you've built over months. They're measured on different timescales and answer different questions.
• A 2026 perspective paper argues we over-weight the first and under-weight the second — the "readiness–preparedness bias."
• Transient fatigue is part of adaptation, not an alert. Backing off every time it appears may build fragility instead of resilience.
• Preparedness is raised by exposure — strength against sport demands, tissue tolerance, conditioning at intensity, and doing the actual thing.
• Readiness data earns its weight once capacity is adequate, not before. Build first; fine-tune second.
• This is a perspective article, not a trial. It's a well-reasoned argument consistent with the load-management evidence, not a proven finding.
• Persistent, non-resolving fatigue is a medical question, not a programming one.

This article provides general educational information and is not medical advice or a substitute for individual assessment. Persistent fatigue, unexplained performance decline, or focal pain should be evaluated by an appropriate healthcare provider.

Find out what you're actually prepared for.

Our Doctors of Physical Therapy assess capacity against the demands of your sport — on-site at Root Strength Georgetown, with a full gym next door so the plan gets built and coached in the same room. No referral required in Washington, most major insurance accepted.

Book an Assessment

Keep Reading — Root Physical Therapy

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Sources

1. Kruczek K, Rebelo A, Gabbett T, Nowak M. The readiness–preparedness bias: recalibrating monitoring logic. Frontiers in Physiology. 2026;17:1855985.
2. Impellizzeri FM, Woodcock S, Coutts AJ, et al. Acute:chronic workload ratio — conceptual issues and fundamental pitfalls. International Journal of Sports Physiology and Performance. 2020;15(6):907–913.
3. Saw AE, Main LC, Gastin PB. Monitoring the athlete training response: subjective self-reported measures trump commonly used objective measures — a systematic review. British Journal of Sports Medicine. 2016;50(5):281–291.
4. Carrard J, Rigort AC, Appenzeller-Herzog C, et al. Diagnosing overtraining syndrome: a scoping review. Sports Health. 2022;14(5):665–673.
5. Weakley J, Halson SL, Mujika I. Overtraining syndrome symptoms and diagnosis in athletes: where is the research? A systematic review. International Journal of Sports Physiology and Performance. 2022;17(5):675–681.
6. Buchheit M, Little T. Slaves to (GPS) norms. Practitioner report, 2025.