Does Training Optimally Matter?

In short: yes. Yes, it does.

The title is intentionally provocative because, at face value, the answer appears straightforward. Researchers dedicate entire careers to investigating training strategies that maximise adaptation, while coaches and athletes apply these methods in pursuit of marginal gains that can meaningfully influence performance — and in many cases, livelihoods. Of course, training optimally matters.

Thanks to social media, it has never been easier to see what “optimal” training is supposed to look like. Clinical research is shared widely, coaches showcase detailed programmes, and athletes or influencers broadcast their workouts daily. Many claim to have the answer — often behind a paywall.

However, this article will argue a simpler point: most training plans fail not because they fall short of “optimal”, but because they cannot be sustained consistently over time.

What Do We Mean by “Optimal” Training?

Before deciding whether training optimally really matters, it is worth clarifying what “optimal” actually means in practice. In most contexts, optimal training is the most efficient way to stimulate a desired adaptation with the least wasted effort – in the case of sporting performance, these are usually strength, power, hypertrophy, endurance or skill execution. These methods are typically defined by specific constraints around exercise selection, intensity and volume.

The issue is that these definitions of optimality are usually derived under ideal conditions. Research protocols typically assume high compliance, stable schedules, adequate recovery, and minimal external stressors. Even in elite sport, these contextual requirements are few and far between. Training weeks are disrupted by competition congestion, travel, illness, injury, and fluctuating athlete availability. Figure 1 illustrates a typical week for a professional football team with two matches per week – these periods can last for weeks at a time in many professional leagues. This poses a massive challenge for prescribing high-quality and “optimal” strength training.

Figure 1. The typical double match week many professional football teams experience for weeks at a time.

This gap between research conditions and applied environments has been highlighted repeatedly in sport science literature, with concerns raised about the ecological validity of “optimal” interventions when translated into real-world coaching contexts (Bishop, 2008; Davids et al., 2013). What appears optimal in theory may therefore be fragile in practice.

Adaptation Is Driven by Exposure Over Time

Training adaptations are not the product of individual sessions or perfectly constructed weeks. They emerge from repeated exposure to a sufficient stimulus over time. Strength improves because tissues are loaded again and again. Aerobic capacity develops through regular cardiovascular stress. Skill improves through frequent practice.

From a physiological perspective, adaptation is cumulative. Missed sessions, disrupted weeks, or repeated programme resets interrupt this accumulation and blunt long-term progress. Periodisation models and long-term development frameworks consistently emphasise

Figure 2. Hypothetical athlete consistently following a programme vs constantly changing training strategies.

the importance of sustained exposure over extended timeframes rather than short-term optimisation (Issurin, 2010). Figure 2 illustrates what physical performance might look like having followed a programme consistently vs hopping to and from different training methods, even if those methods are theoretically superior. Training consistency has been identified as a key determinant of long-term performance development, often outweighing the fine-tuning of individual training variables. In simple terms, the body adapts to what it experiences most often — not to what looks best on paper. A slightly inferior stimulus applied consistently will almost always outperform a superior stimulus applied intermittently.

One danger of chasing optimal training is that what is deemed as “optimal” is constantly changing; every couple of months, new research is published challenging or mildly varying what was previously considered gold standard. As we’ve already established, adaptations are driven over time and repeated bouts of a stimulus, constantly changing training methods in the pursuit of optimality may be the very thing that prevents adaptations occurring – who doesn’t enjoy a good bit of irony?

Sustainability as a Performance Variable

Sustainability is often considered a barrier to overcome rather than a core performance variable. In reality, designing a programme that can be maintained over the course of weeks and months may be one of the most important determinants of success.

In team sports, sustainability is challenged by fixture congestion, variable weekly loads, and limited recovery windows, and these are just challenges associated with those who compete professionally. For the rest of us mere mortals, who train for pleasure and not financial gain, training consistency is challenged by work, family, sleep and other time constraints. Programmes that demand consistently high volumes, narrow loading windows, or excessive complexity may work well briefly, but they are unlikely to survive prolonged exposure to these pressures. Research across training and health contexts consistently shows that adherence is a critical driver of outcomes; even highly effective interventions fail when they cannot be maintained (Steele et al., 2017). Hopefully, this is starting to demonstrate the concept that programme “sustainability” > “optimality”.

What “Good Enough” Training Actually Looks Like

Advocating for consistency does not mean accepting poor practice. “Good enough” training is not lazy or unscientific. It is evidence-informed, but designed with real-world constraints in mind. Good enough training prioritises fundamentals, focusing on key movements, manageable volumes, and clear objectives, and avoids unnecessary complexity, allowing flexibility within a stable framework. Importantly, it can continue even when conditions are imperfect.

Research suggests that meaningful adaptations can be achieved across a wide range of training doses, provided a minimum effective stimulus is applied consistently (Steele et al., 2017; Schoenfeld, 2010). This challenges the notion that precise optimisation of every variable is required for progress.

The hallmark of good enough training is robustness; it survives bad weeks; it accommodates fatigue; it persists.

Implications for Coaches and Training Enthusiasts

Now, this doesn’t give coaches an excuse to lazily programme whatever their personal training bias is, but rather encourages a shift in how programmes are evaluated. Rather than asking whether a plan is theoretically optimal, a more useful question is whether it can be delivered consistently across a season, as well as providing a meaningful stimulus. Programmes should be judged over months, not sessions, and by their durability under pressure. If new strategies emerge or the current one is not evoking the desired adaptation, a change should be carefully considered. Anything new must still be sustainable to employ for a meaningful period of time, under the constraints of competition and life.

For training enthusiasts, the message is reassuring. Progress does not require perfect programming, flawless execution, leading-edge equipment and facilities. It requires showing up, training with intent, and doing so repeatedly.

In both cases, attendance matters more than novelty, and sustainability matters more than sophistication.

Conclusion: Redefining “Optimal”

So, does training optimally really matter? Yes — but not in the way it is often framed. Optimal training is not the most precise or impressive programme on paper, but the one that can be sustained long enough to allow adaptation pathways to occur. In the real world, effectiveness is constrained by time, recovery, and motivation. Training methods that ignore these constraints may be optimal in theory, but fragile in practice. By contrast, consistently applied, well-designed training — even if technically sub-optimal — is far more likely to produce meaningful long-term results.

Training does not need to be perfect to work. But it does need to persist.

References

• Bishop, D. (2008). An applied research model for the sport sciences. Sports Medicine, 38(3), 253–263. https://doi.org/10.2165/00007256-200838030-00005

• Davids, K., Araújo, D., Vilar, L., Renshaw, I., & Pinder, R. (2013). An ecological dynamics approach to skill acquisition: Implications for development of talent in sport. Talent Development & Excellence, 5(1), 21–34.

• Glazier, P. S. (2017). Towards a grand unified theory of sports performance. Human Movement Science, 56, 139–156. https://doi.org/10.1016/j.humov.2015.08.007

• Issurin, V. B. (2010). New horizons for the methodology and physiology of training periodization. Sports Medicine, 40(3), 189–206. https://doi.org/10.2165/11319770-000000000-00000

• Schoenfeld, B. J. (2010). The mechanisms of muscle hypertrophy and their application to resistance training. Journal of Strength and Conditioning Research, 24(10), 2857–2872. https://doi.org/10.1519/JSC.0b013e3181e840f3

• Steele, J., Fisher, J., Skivington, M., Dunn, C., Arnold, J., Tew, G., ... & Winett, R. (2017). A higher effort-based paradigm in physical activity and exercise for public health: making the case for a greater emphasis on resistance training. BMC public health, 17(1), 300.