Why coaches keep asking this question
Tennis coaches everywhere are being told to “use constraints.”
Change the court.
Change the rules.
Add pressure.
Make it look like the game.
But despite the growing popularity of the Constraint-Led Approach (CLA), many coaches are still left confused, not because the idea is wrong, but because it’s often explained through traditional assumptions about learning that CLA fundamentally rejects.
This article is for coaches who want to understand what CLA actually is, why it matters in tennis, and why simply adding constraints to old drills isn’t enough.
Why this problem exists in tennis coaching
Tennis has a long history of technique-first thinking.
Movements are broken down.
Ideal shapes are demonstrated.
Errors are treated as flaws to be corrected.
When CLA entered tennis, it was often layered on top of this model, rather than replacing it. As a result, constraints became tools to force players toward ideal techniques, rather than environments that invite functional solutions.
That misunderstanding is where most CLA discussions go wrong.
What the common explanation of CLA gets wrong
1. “CLA is just creating harder drills”
This is the most common misconception.
CLA is not about making drills more chaotic or more difficult. It is about shaping the information available to the player, so their behaviour adapts naturally.
In tennis, performance breakdowns rarely occur because a player “forgot” a technique. They occur because the information guiding action in practice does not exist in matches.
2. “Players store the correct way to hit a forehand”
From an ecological dynamics perspective, this idea simply doesn’t hold.
Movement solutions in sport are not retrieved from memory and replayed like files on a hard drive. Instead, coordination patterns continuously reorganise in response to changing constraints such as time, space, opponent behaviour, and intention (Bernstein, 1967; Kelso, 1995).
No forehand is ever repeated in exactly the same way, even by elite players, because the conditions that shape the action are never identical.
3. “Constraints help groove technique”
This is where traditional beliefs quietly creep back in.
When constraints are used to “groove” or stabilise an ideal movement pattern, they contradict the very foundation of CLA. Ecological dynamics explains skill as an emergent relationship between the athlete and their environment, not the reproduction of pre-programmed techniques (Davids et al., 2012).
What actually happens when players learn in tennis
From an ecological perspective, learning occurs through the strengthening of perception–action couplings, the tight relationship between what a player perceives and how they move (Araújo, Davids, & Hristovski, 2006).
Players do not learn how to move in isolation.
They learn when, why, and where to move, and movement emerges as a consequence.
In tennis, this means:
- Reading ball flight
- Attuning to opponent positioning
- Managing time pressure
- Acting with intention under uncertainty
Skill is not stored.
It is reconstructed in real time, point by point.
Representative Learning Design: the missing piece
For CLA to work, practice must preserve the same information–movement relationships found in competition. This principle is known as Representative Learning Design (RLD) (Pinder et al., 2011).
When practice removes key information, such as opponent behaviour, realistic spacing, or time pressure, transfer breaks down, regardless of how “game-like” the drill appears.
This is why:
- basket feeding often fails
- unopposed serving doesn’t transfer
- ladder drills don’t improve match footwork
The information guiding action is different.
An applied tennis example: serving
Traditional approach:
Players rehearse the serve in isolation, focusing on toss height, arm position, and rhythm.
CLA-informed approach uisng a representative practice design:
The serve is trained with an opponent, where intention (jam or stretch), placement, and decision-making shape the movement.
Here, the constraint is not the motion; it’s the problem the server is trying to solve.
As the environment changes, the serve adapts.
That adaptation is learning.
Variability and “repetition without repetition”
Nikolai Bernstein described effective learning as “repetition without repetition”, stability emerging through variability, not sameness (Bernstein, 1967).
In tennis, this means players must experience:
- different ball heights
- changing recovery demands
- variable opponent responses
- fluctuating pressure
CLA does not remove repetition.
It removes identical repetition.
What this means for tennis coaches
CLA is not:
- a set of drills
- a checklist of constraints
- a shortcut to faster improvement
It is a different explanation of how learning works.
For coaches, this means:
- Stop asking “What drill fixes this?”
- Start asking “What information is guiding behaviour?”
- Design environments that invite better decisions
- Accept variability as a sign of learning, not failure
- Coach behaviour and interaction — not movement shapes
Where this fits in modern tennis coaching
This is why CLA cannot be treated as a “new method” layered onto traditional coaching.
It requires a shift in epistemology, like what happend to me, in how we believe humans learn.
When that shift happens, coaching changes from:
- correcting → designing
- instructing → inviting
- controlling → shaping
And players stop being technicians and start becoming adaptable competitors.
In closing
The Constraint-Led Approach isn’t new.
But applying it properly in tennis still is.
Not because coaches lack drills…..
but because the sport is still letting old beliefs explain new ideas.
Until we align our practices with how learning actually works, CLA will continue to be misunderstood, and underused.
References
Araújo, D., Davids, K., & Hristovski, R. (2006). The ecological dynamics of decision making in sport. Psychology of Sport and Exercise, 7(6), 653–676.
https://doi.org/10.1016/j.psychsport.2006.07.002
Bernstein, N. A. (1967). The co-ordination and regulation of movements. Oxford: Pergamon Press.
Davids, K., Araújo, D., Hristovski, R., Passos, P., & Chow, J. Y. (2012). Ecological dynamics and motor learning design in sport. Sports Medicine, 42(3), 229–246.
Kelso, J. A. S. (1995). Dynamic patterns: The self-organization of brain and behavior. MIT Press.
Pinder, R. A., Davids, K., Renshaw, I., & Araújo, D. (2011). Representative learning design and functionality of research and practice in sport. Journal of Sport & Exercise Psychology, 33(1), 146–155.
