13min read

Where Does the Session Go? The MD-Minus Framework for Weekly Training Design

microcycle periodisation MD-minus framework non-starter conditioning tapering and priming

You’ve Designed the Session — Now Where Does It Go?

You have built the small-sided game. You know how to contextualise high-intensity running. You understand that repetition without repetition is how players learn. The session itself is ready.

But the session does not exist in isolation. It sits inside a week, and the week is shaped by the match at the end of it. Where you place that session — Monday or Thursday, after a recovery day or before a taper — changes what it does to the player. A well-designed drill on the wrong day can exhaust a squad. A mediocre one on the right day can do its job quietly and effectively.

This is where the MD-minus (MD−) framework enters. MD stands for matchday. Every other training day is defined by its distance from the match: MD−4 is four days before, MD−1 is the day before. The framework works backward from kick-off, assigning a purpose, an intensity, and a physical domain to each day. It is not a rigid template. It is a shared language — one that coaches, performance staff, and medical teams can use to make decisions together.

The question is not whether to use this language. Most elite clubs already do. The question is how well the principles behind it are understood and applied.

The Map of 11 Principles

Buchheit et al. (2024) synthesised eleven principles of microcycle periodisation in elite football — some evidence-informed, some inferred from practice. Together they form a map, not a recipe. Three ideas anchor the entire structure.

First, the week has three phases: recovery, acquisition, and tapering. After the match, players recover. In the middle of the week, they acquire — tactical work, physical loading, speed exposure. As the next match approaches, volume drops and sharpness rises. When fixture congestion compresses the week, the acquisition phase shrinks first.

Second, rest-day placement matters more than most coaches assume. Scheduling the day off on D+2 (two days after the match) was associated with non-contact injury rates two to three times lower than other configurations (Buchheit et al., 2024). That is a structural decision with an outsized effect.

Third, weekly High-Speed Running (HSR) volume has a sweet spot. When cumulative training HSR fell between 0.6 and 0.9 of the match HSR load, injury risk was lowest (Buchheit et al., 2024). Too little running leaves players underprepared. Too much accumulates damage. The target is not a single number — it is a ratio that shifts with each player’s match exposure.

Other principles fill in the detail: exposing players to speeds above 95% of their Maximal Sprint Speed (MSS) at MD−2 to protect hamstrings, placing eccentric strength work early in the microcycle at low volume, and keeping MD−1 sessions under 45 minutes. Each principle connects to a specific decision a practitioner makes during the week.

One-Game Week: The 4-Day Lead-In and Load Undulation

The 4-day lead-in is the most widely used microcycle model in professional football worldwide (Read et al., 2023). After two recovery or rest days following the match, the squad enters four consecutive training days before the next fixture.

The daily rhythm follows an undulating pattern — not a straight line of escalating load, but a wave:

DayThemePhysical Character
MD−4Intensive — small areaDirection changes, SSG (4v4–7v7), deceleration, lower-body strength
MD−3Extensive — large areaHighest weekly load across HSR, sprint distance, total distance, RPE
MD−2Medium area + speedTransition drills, maximal speed exposure, acceleration quality
MD−1Reaction / primingTapering — sub-45 min, final tactical detail, cognitive games

A systematic review confirmed that MD−3 consistently carries the heaviest load across acceleration, HSR, sprint distance, total distance, and RPE (Silva et al., 2023). MD−1, by contrast, recorded the lowest load on nearly every variable. This is not coincidence — it is the undulating design working as intended.

The logic is straightforward. Training monotony is the enemy. When every day looks the same, the body stops adapting and starts accumulating fatigue. The wave pattern — high to low, intensive to extensive — creates the variety that drives adaptation while protecting recovery (Buchheit et al., 2024).

Within this structure, sessions are classified as either extensive (wide-area work emphasising HSR and endurance) or intensive (small-area work emphasising accelerations, decelerations, and direction changes). These are not value judgments. They describe the neuromuscular profile of the session — which muscle groups carry the load, and in what way (Walker & Hawkins, 2018).

Two-Game Week: Matches Replace Acquisition Days

When a midweek fixture appears, the comfortable 4-day lead-in collapses. The acquisition phase — the productive middle of the week — essentially vanishes. Matches themselves become the high-load days, and the structure shifts to a High-Low model: match days are high, everything else is low.

Sprint load drops because there is no room for dedicated speed sessions (Read et al., 2023). Conditioning shifts toward Small-Sided Games (SSG) and possession exercises that maintain aerobic and anaerobic fitness without excessive mechanical stress. Strength work shrinks to microdosed injury-prevention routines carried over from the previous week.

The real challenge in a two-game week is not managing starters. They get their load from the matches. The challenge is managing everyone else. The only day the entire squad might train together is MD−1 before the second fixture. At every other point, players exist in different physical states — some recovering from 90 minutes, others needing stimulus because they barely played.

This is where non-starter management becomes critical, and where the framework earns its value.

Non-Starter Conditioning — Compensatory Training and Speed Endurance

A player who starts every week accumulates HSR naturally through matches. A player who sits on the bench does not. Over two or three weeks of reduced match time, the gap widens. Then the substitute gets called upon for a full 90 minutes, and the acute spike in HSR load becomes a hamstring injury waiting to happen.

Compensatory training exists to prevent this spike. The principle is simple: supplement non-starters with individualised HIIT to maintain a stable weekly HSR load, so that returning to match play does not represent a sudden overload (Buchheit & Laursen, 2022).

The practical execution is more nuanced. Two decision-making lenses guide the prescription:

The within-session puzzle asks: what neuromuscular load has the tactical session already imposed? If the tactical block was HSR-heavy (long passing drills, wide positional games), then the supplementary HIIT should target Mechanical Work (MW) — accelerations, decelerations, direction changes — to avoid stacking hamstring load. If the tactical content was MW-heavy (tight possession, pressing circuits), the supplement can include HSR-dominant running sequences (Buchheit & Laursen, 2022).

The between-match puzzle asks: how much did this player do in the last match, and how many days until the next one? A starter who played 90 minutes with five or fewer days until the next match needs almost no supplementation. A substitute who played 20 minutes with six days of training ahead needs the full arsenal — running-based HIIT, SSG, and maximal-speed sprints (Buchheit & Laursen, 2022).

For non-starters who need dedicated conditioning, Speed Endurance (SE) training provides the vehicle. SE maintenance — repeated high-intensity efforts in SSG formats (2v2 to 4v4, 70–90% intensity, work-to-rest ratio 1:3) — builds the ability to sustain explosive actions across 90 minutes. SE production — individual maximal efforts under 30 seconds at 90–100% intensity — develops peak output for position-specific demands (Read et al., 2023). A centre forward gets short, explosive bursts. A full-back gets longer running patterns. The drills are contextualised to the movement signature of each role.

The monitoring data reinforces why this matters. Non-starters consistently accumulate lower total weekly loads than starters (Silva et al., 2023). Without deliberate intervention, the gap between their training load and match demands grows — silently, until it becomes a problem.

Tapering and Priming — Designing the Final 48 Hours

The last two days before a match are where preparation meets restraint. The instinct to squeeze in one more session, one more tactical detail, one more physical top-up — that instinct costs goals.

MD−1 sessions should last no longer than 45 minutes. When sessions extended to 60 or 75 minutes, matchday physical output declined (Buchheit et al., 2024). The mechanism is not complicated. Residual fatigue from the day before carries into the match. Forty-five minutes is enough for final tactical refinements and neural activation. Anything beyond that subtracts from performance.

But tapering the day before is only half the equation. Matchday morning priming is the other half.

A 15–20 minute activation session on the morning of the match — stretching, mobility, core work, light resistance, reactive agility — improved physical output across multiple metrics. Players who completed a priming session covered more distance at moderate intensity, more at high intensity, and won more duels, with no negative effect on technical performance (Modric et al., 2023). The improvements were small to moderate in magnitude, but in a sport decided by margins, a meaningful increase in high-intensity output matters.

These two findings converge with a broader insight about what actually predicts winning. Teams with the highest combination of fitness and freshness — not the highest running volume — had the best win probability (Mandorino et al., 2025). The winning condition was high fitness plus high freshness plus relatively low total running output. In other words, the best-prepared teams did not need to run the most. They ran the smartest.

Freshness is measured after MD−1 recovery. Fitness is measured at MD−3 during metabolic training sessions. Together they define a player’s readiness — a state that tapering protects and priming activates (Mandorino et al., 2025). Running distance alone tells you almost nothing about this state.

Practical Implications — Fitting the Principles to Your Team

Principles are not protocols. Every club operates under different constraints — squad depth, fixture density, travel schedules, climate, facility access. The MD-minus framework provides the skeleton. You provide the context.

Start with the non-negotiables. Rest day on D+2. MD−1 under 45 minutes. Weekly training HSR between 0.6 and 0.9 of match HSR. Maximal speed exposure at MD−2. These are the decisions with the strongest evidence base.

Build a drill database. Knowing what load a 6v6 possession game or a 40-metre shuttle drill typically produces — in your environment, with your players — is far more useful than theoretical programming. Historical drill data turns prescription into prediction (Pillitteri et al., 2024).

Use three reference points for load prescription. Compare each session against (1) the upcoming match demand, (2) position-specific benchmarks, and (3) the historical average for the same MD-day across previous microcycles (Pillitteri et al., 2024). Any single reference point is incomplete. All three together create a coherent picture.

Accept that the coach changes the plan. Periodisation in elite football is inherently fluid. A result that demands extra tactical work, a player dispute that changes the training mood, a travel delay that compresses the schedule — these are not disruptions to the plan. They are the plan. The practitioner who thrives is the one who can rearrange the week’s physical load without losing the undulating rhythm (Read et al., 2023).

Integrate internal and external load. The same external load — identical distances, identical accelerations — produces different internal responses in different players, and in the same player on different days. Monitoring both, and contextualising the ratio between them, is what turns data into a decision about whether a player is coping or struggling (Impellizzeri et al., 2019).

Treat readiness as an operational proxy, not a final verdict. Readiness scores — whether from jump tests, wellness questionnaires, or heart-rate variability — are short-term signals. They gain meaning only when interpreted alongside training load, match context, and the player’s longer-term trend. A single red flag is a prompt to investigate, not a reason to pull someone from the squad (Rebelo et al., 2026).

A final thought. The MD-minus framework is common knowledge. Every elite club uses some version of it. But common knowledge is not common practice. The gap between knowing the 11 principles and executing them — across a 42-week season, through congested periods, for 25 players with different match exposures — is where the real work lives. The framework does not make decisions for you. It organises the space in which you make them.

References

  1. Buchheit, M., Douchet, T., Settembre, M., McHugh, D., Hader, K., & Verheijen, R. (2024). The 11 Evidence-Informed and Inferred Principles of Microcycle Periodization in Elite Football. Sport Performance & Science Reports, 218, v1.
  2. Buchheit, M., & Laursen, P. (2022). Periodisation and programming for team sports. In D. N. French & L. Torres Ronda (Eds.), NSCA’s Essentials of Sport Science. Human Kinetics.
  3. Impellizzeri, F. M., Marcora, S. M., & Coutts, A. J. (2019). Internal and External Training Load: 15 Years On. International Journal of Sports Physiology and Performance, 14(2), 270-273. https://doi.org/10.1123/ijspp.2018-0935
  4. Mandorino, M., Lacome, M., Verheijen, R., & Buchheit, M. (2025). Time to drop running as a KPI in elite football: football fitness and freshness as match-day preconditions. Sport Performance & Science Reports, 254, v1.
  5. Modric, T., Carling, C., Lago-Peñas, C., Versic, Š., Morgans, R., & Sekulic, D. (2023). To train or not to train (on match day): Influence of a priming session on match performance in competitive elite-level soccer. Journal of Sports Sciences, 41(18), 1726–1733. https://doi.org/10.1080/02640414.2023.2296741
  6. Pillitteri, G., Clemente, F. M., Sarmento, H., Figuereido, A., Rossi, A., Bongiovanni, T., Puleo, G., Petrucci, M., Foster, C., Battaglia, G., & Bianco, A. (2024). Translating player monitoring into training prescriptions: Real world soccer scenario and practical proposals. International Journal of Sports Science & Coaching, 20(1), 388-406. https://doi.org/10.1177/17479541241289080
  7. Read, M., Rietveld, R., Deigan, D., Birnie, M., Mason, L., & Centofanti, A. (2023). Periodisation. In A. Calder & A. Centofanti (Eds.), Peak performance for soccer: The elite coaching and training manual. Routledge.
  8. Rebelo, A., Bishop, C., Thorpe, R. T., Turner, A. N., & Gabbett, T. J. (2026). Monitoring training effects in athletes: A multidimensional framework for decision-making. Sports Medicine. Advance online publication. https://doi.org/10.1007/s40279-026-02417-4
  9. Silva, H., Nakamura, F. Y., Castellano, J., & Marcelino, R. (2023). Training load within a soccer microcycle week—A systematic review. Strength & Conditioning Journal, 45(5), 568–577. https://doi.org/10.1519/ssc.0000000000000765
  10. Walker, G. J., & Hawkins, R. (2018). Structuring a program in elite professional soccer. Strength & Conditioning Journal, 40(3), 72–82. https://doi.org/10.1519/ssc.0000000000000345