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Sports Scientist — Competency Roadmap

Work towards being a sports scientist: the physiology, biomechanics and psychology behind athletic performance, plus the testing, data and coaching practice used to improve it.

This roadmap provides a complete, structured development pathway covering the foundational sciences, applied laboratory testing, data analytics, and multi-population coaching competencies required of a professional sports scientist. Sized for 10 hours per week of study, lab practice, and project building, it maps directly against the British Association of Sport and Exercise Sciences (BASES) Supervised Experience (SEPAR) core domains while referencing parallel international standards (NSCA, ACSM, ESSA). Finishing this curriculum leaves you able to conduct validated physiological and biomechanical assessments, build programmatic load monitoring dashboards, design periodised adaptation strategies across youth, elite, and clinical populations, and assemble a verifiable portfolio of applied case studies.

By the end: You will be able to plan, conduct, and analyse standard laboratory and field performance tests (VO2max, lactate profiles, force plate kinetics, GPS workload), interpret findings through evidence-based physiology and biomechanics, and deliver individualised training and monitoring interventions across elite, developmental, and rehabilitation contexts.

Starting levelBeginnerStyleA mix
10h / week12 phases35 tasks~282h total

This is the map — make this roadmap yours

It shows what this journey generally looks like. Tell Kaidoro your version of the goal and it builds the plan around where you are actually starting, what to do first, the hours you really have, and what you have already finished.

1

Human Anatomy and Bioenergetics

Establish the foundational anatomical and metabolic systems underpinning muscular contraction, substrate utilisation, and acute exercise responses.

  • Map functional musculoskeletal anatomy and joint kinematics
    ~8hLearn1 resource

    Anatomical literacy is non-negotiable for biomechanical analysis, injury risk mitigation, and exercise prescription.

    You'll learn

    • Kinetic chain — the interconnected system of joints and segments transferring force
    • Planes of motion — sagittal, frontal, and transverse reference planes
    • Functional muscle classification — agonist, antagonist, synergist, and fixator roles

    Learn the primary muscle groups, origins, insertions, and joint actions across the human kinetic chain. Focus on muscular attachments, planes of motion (sagittal, frontal, transverse), and the mechanical roles of agonists, antagonists, synergists, and stabilisers during compound athletic movements.

    Done when: you can correctly identify all major skeletal muscles, their joint actions, and planes of movement across five multi-joint compound exercises without reference notes.

    How to work through it

    1. Review upper- and lower-limb skeletal anatomy and joint classification.
    2. Diagram the origin, insertion, and action of major functional muscle groups.
    3. Analyse three compound movements (squat, hinge, press) identifying planes of motion and primary movers.
    4. Complete a self-test labelling joint actions and muscle roles across 20 dynamic movement scenarios.
  • Model cellular bioenergetics and metabolic energy systems
    ~9hLearn

    Understanding metabolic energy flux determines how you evaluate conditioning status, energy deficits, and conditioning protocols.

    You'll learn

    • Phosphagen system — immediate ATP regeneration via phosphocreatine hydrolysis
    • Glycolysis — anaerobic degradation of glucose producing pyruvate or lactate and ATP
    • Oxidative phosphorylation — mitochondrial ATP production via the electron transport chain
    • Crossover concept — shift from lipid to carbohydrate oxidation as intensity increases

    Examine the three fundamental metabolic energy pathways: the phosphagen (ATP-PCr) system, the glycolytic pathway (anaerobic glycolysis), and mitochondrial oxidative phosphorylation (aerobic metabolism). Calculate fuel usage and substrate partitioning (carbohydrates vs. fats) across varying exercise intensities and durations.

    Done when: you have drafted an integrated biochemical pathways schematic showing ATP synthesis, rate-limiting enzymes, byproducts, and recovery timecourses for all three energy systems.

    How to work through it

    1. Chart the biochemical pathways of phosphocreatine breakdown, glycolysis, and the Krebs cycle.
    2. Identify rate-limiting enzymes such as creatine kinase, phosphofructokinase (PFK), and isocitrate dehydrogenase.
    3. Plot energy system contribution curves over time from 1 second to 2 hours of maximal exercise.
    4. Synthesise substrate crossover points relative to fractional percentages of maximal oxygen uptake.
  • Construct an exercise bioenergetics breakdown for three distinct sports
    ~7hBuild

    Translating biochemistry into practical sport profiling is the exact duty expected during initial sports science need analyses.

    You'll learn

    • Needs analysis — structured assessment of physiological and biomechanical demands of a sport
    • Work-to-rest ratio — proportion of high-intensity activity relative to recovery intervals
    • Metabolic fatigue mechanisms — glycogen depletion, hydrogen ion accumulation, and PCr stores

    Synthesise your physiological knowledge by profiling three distinct athletic activities: a pure sprint/power event (e.g., 100m sprint or Olympic weightlifting), an intermittent team sport (e.g., football/soccer), and an endurance event (e.g., Olympic-distance triathlon). Determine primary and secondary energy system contributions, limiting metabolic factors, and recovery requirements for each.

    Done when: you have submitted a comparative 4-page written profile evaluating the bioenergetic demands and physiological fatigue mechanisms for all three sports.

    How to work through it

    1. Select three contrasting sports representing power, intermittent field, and continuous endurance demands.
    2. Review peer-reviewed time-motion and physiological demands literature for each selected sport.
    3. Tabulate work-to-rest ratios, predominant energy pathways, and blood lactate ranges.
    4. Draft your comparative profile detailing limiting metabolic factors and substrate depletion rates.
2

Neuromuscular, Cardiovascular, and Respiratory Systems

Explore the structural and functional adaptations of the heart, lungs, and neuromuscular apparatus in response to acute exercise stress and chronic training.

  • Examine neuromuscular excitation-contraction coupling and motor unit recruitment
    ~8hLearn

    Neuromuscular physiology governs speed, power, force velocity profiling, and resistance training adaptations.

    You'll learn

    • Sliding filament theory — mechanism of muscle contraction via cross-bridge cycling
    • Henneman's size principle — orderly recruitment of motor units from small (Type I) to large (Type II)
    • Rate coding — frequency of motor unit discharge affecting muscle tension

    Investigate how the central nervous system controls force production through motor unit recruitment (Henneman's size principle), rate coding (firing frequency), and synchronization. Trace the action potential from the motor cortex down the alpha motor neuron to the neuromuscular junction and through the sliding filament theory inside myofibrils.

    Done when: you can illustrate the complete excitation-contraction cascade from action potential propagation to cross-bridge cycling and subsequent muscular relaxation.

    How to work through it

    1. Diagram the structural components of a sarcomere (actin, myosin, troponin, tropomyosin, titin).
    2. Trace calcium release from the sarcoplasmic reticulum and its interaction with troponin C.
    3. Explain Henneman's size principle and rate coding mechanisms in grading muscle force.
    4. Document neural adaptations to early-stage strength training versus structural hypertrophy.
  • Analyze cardiovascular and respiratory hemodynamics during exercise
    ~8hLearn

    Cardiorespiratory metrics underpin aerobic capacity evaluation, training zone prescription, and clinical exercise safety.

    You'll learn

    • Fick equation — relationship between oxygen uptake, cardiac output, and arterial-venous oxygen difference
    • Frank-Starling law — increased end-diastolic volume producing increased stroke volume
    • Ventilatory thresholds — breakpoints in ventilation reflecting carbon dioxide buffering kinetics

    Study acute cardiovascular responses (heart rate, stroke volume, cardiac output, arteriovenous oxygen difference, blood pressure redistribution) and pulmonary mechanics (minute ventilation, alveolar gas exchange, ventilatory thresholds). Derive the Fick equation and examine cardiac remodeling (eccentric vs. concentric hypertrophy) induced by chronic endurance versus resistance training.

    Done when: you have written out the Fick equation, calculated cardiac output and VO2 values across five physiological workloads, and correctly mapped blood flow redistributions from rest to maximal exertion.

    How to work through it

    1. Write the Fick equation and define each mathematical variable.
    2. Map changes in systolic/diastolic blood pressure and total peripheral resistance during static vs dynamic exercise.
    3. Examine the physiological mechanisms governing the ventilatory threshold 1 (VT1) and ventilatory threshold 2 (VT2).
    4. Compare cardiac remodeling patterns between endurance athletes (Morganroth hypothesis) and strength athletes.
  • Produce an acute cardiovascular response monitoring report
    ~6hBuild

    Interpreting acute vitals during exercise testing is essential for both performance monitoring and clinical exercise safety screening.

    You'll learn

    • Heart Rate Recovery (HRR) — marker of autonomic parasympathetic reactivation
    • Rate of Perceived Exertion (RPE) — psychophysiological scale for subjective strain
    • Mean Arterial Pressure (MAP) — average arterial pressure during a single cardiac cycle

    Collect or utilise an open-access graded exercise dataset containing Heart Rate (HR), Blood Pressure (BP), Rate of Perceived Exertion (RPE), and Oxygen Consumption. Plot the cardiovascular variables against workload increments, identify abnormal hemodynamic markers (e.g., hypotensive responses, excessive systolic rise), and write an interpretive physiological summary.

    Done when: you have produced an annotated graphical report demonstrating resting, submaximal, and peak cardiovascular parameters alongside an accurate clinical/performance interpretation.

    How to work through it

    1. Source or record graded exercise test cardiovascular data (HR, BP, RPE, Workload).
    2. Plot variables graphically to visualise linearity and inflection points.
    3. Calculate heart rate recovery (HRR) at 1-minute and 2-minute post-test marks.
    4. Write an executive physiological summary evaluating cardiorespiratory efficiency and autonomic recovery.
3

Biomechanical Foundations and Movement Analysis

Master linear and angular kinetics and kinematics, force-velocity-power profiles, and two-dimensional video motion analysis methods.

  • Calculate linear and angular kinetics and kinematics in human movement
    ~10hLearn

    Biomechanics translates biological force capacity into physical performance outcomes and joint loading demands.

    You'll learn

    • Impulse — integral of force over time producing changes in linear momentum
    • Torque / Joint Moment — rotational force created by muscle pull acting at a moment arm
    • Ground Reaction Force (GRF) — reaction force exerted by the ground on a body in contact with it

    Learn classical Newtonian mechanics applied to human biological systems. Work with displacement, velocity, acceleration, momentum, force, impulse, torque (moment of force), moment of inertia, and lever systems within the human body (first, second, and third class levers).

    Done when: you can solve 10 physics problem sets calculating joint torque, impulse-momentum relationships, and ground reaction forces from raw kinematic and kinetic variables.

    How to work through it

    1. Define the mathematical formulas for linear and angular velocity, acceleration, force, and torque.
    2. Identify first-, second-, and third-class levers within human musculoskeletal joints.
    3. Solve impulse-momentum equations to determine changes in center of mass velocity.
    4. Calculate internal and external moment arms across varying joint angles in knee extension and hip hinge movements.
  • Perform 2D video motion capture analysis with Kinovea
    ~7hPractice1 resource

    Video motion analysis is the primary low-cost tool used by sports scientists in field environments to evaluate technique and injury risk.

    You'll learn

    • Kinovea — open-source 2D video analysis tool for movement sciences
    • Spatial calibration — converting pixel coordinates into real-world SI metric units
    • Kinematic time-series — continuous measurement of positions and angles across the movement cycle

    Download and install Kinovea (free, open-source 2D motion analysis software). Calibrate spatial scaling, place anatomical tracking markers, and perform kinematic analysis (joint angles, angular velocities, bar trajectory) on vertical jump and sprint gait video footage.

    Done when: you have generated a calibrated 2D kinematic report showing hip, knee, and ankle joint angles at key gait events (initial contact, midstance, toe-off) with displacement-time curves.

    How to work through it

    1. Install Kinovea and set up a spatial calibration plane using a known distance calibration wand.
    2. Import high-speed (>=120fps) video files of a countermovement jump and linear sprint.
    3. Track anatomical landmarks (greater trochanter, lateral femoral epicondyle, lateral malleolus).
    4. Export time-series joint angle curves and compute peak angular velocities.
  • Build a mechanical force-velocity profile from jump and sprint data
    ~8hBuild

    Force-velocity-power profiling allows practitioners to prescribe targeted ballistic or heavy-resistance training to address specific mechanical deficits.

    You'll learn

    • Force-Velocity Profiling — mechanical assessment of an athlete's maximum force versus velocity capabilities
    • F0 and V0 — theoretical maximal force at zero velocity, and maximal velocity against zero resistance
    • Optimal F-v profile — theoretical ideal balance between force and velocity for maximal vertical or horizontal output

    Apply the Samozino / Morin biomechanical profiling framework to calculate theoretical maximal force (F0), maximal velocity (V0), and maximal power (Pmax). Use countermovement jump load-velocity data or split sprint timing data to derive mechanical deficits and individualised training recommendations.

    Done when: you have built a spreadsheet or calculation script that outputs F0, V0, Pmax, and the optimal force-velocity profile slope from raw testing data.

    How to work through it

    1. Study the theoretical foundations of Morin and Samozino's force-velocity profiling methodology.
    2. Gather incremental loaded jump data (jump height across 0kg, 20kg, 40kg, 60kg) or split sprint times (5m, 10m, 20m, 30m).
    3. Calculate linear regression slopes to derive F0 (y-intercept) and V0 (x-intercept).
    4. Compute theoretical maximum power output (Pmax = F0 * V0 / 4) and compare against optimal profiling benchmarks.
4

Laboratory and Field Testing Methodologies

Master standard physiological testing protocols, metabolic cart spirometry, blood lactate profiling, and field-based fitness assessments according to BASES and international guidelines.

  • Study standard physiological testing protocols and BASES safety guidelines
    ~6hLearn1 resource

    Operating safely and adhering to standardised laboratory operating procedures is a core competency under BASES, ACSM, and ESSA accreditation.

    You'll learn

    • BASES Laboratory Accreditation — operational and safety standards for exercise science laboratories
    • PAR-Q+ — physical activity readiness questionnaire for health risk screening
    • Test termination criteria — clinical and physiological cut-offs indicating immediate test cessation

    Review gold-standard laboratory assessment procedures: pre-test health screening (PAR-Q+, informed consent, risk stratification), resting anthropometry (ISAK surface anthropometry guidelines), calibration of metabolic gas analyzers, and ergometer setup (cycle ergometers, treadmills, rowing ergometers).

    Done when: you have compiled a standardized laboratory operating procedure (SOP) manual containing pre-test screening protocols, risk stratification forms, and equipment calibration checklists.

    How to work through it

    1. Read BASES guidelines for laboratory physiological assessments and risk assessment.
    2. Draft an athlete informed consent and health screening questionnaire.
    3. Document calibration procedures for two-point gas calibration and volume turbine calibration.
    4. Establish safety termination criteria for maximal physiological exercise testing.
  • Interpret CPET data and determine VO2max and ventilatory thresholds
    ~8hPractice

    Maximal oxygen uptake and ventilatory threshold determination are foundational to endurance sports profiling and cardiopulmonary clinical diagnosis.

    You'll learn

    • Respiratory Exchange Ratio (RER) — ratio between metabolic carbon dioxide production and oxygen consumption
    • V-slope method — mathematical technique for detecting the first ventilatory threshold
    • Wasserman 9-panel plot — standardized graphical presentation of cardiopulmonary exercise test variables

    Analyse raw Cardiopulmonary Exercise Testing (CPET) breath-by-breath data. Evaluate VO2 plateau criteria, secondary criteria (RER >= 1.10, age-predicted max HR, Borg RPE >= 18), and detect Ventilatory Threshold 1 (V-slope method) and Ventilatory Threshold 2 / Respiratory Compensation Point.

    Done when: you have processed three raw CPET datasets in a spreadsheet or statistical software, correctly identifying VO2max, VT1, and VT2 with 9-panel Wasserman plots.

    How to work through it

    1. Clean breath-by-breath CPET data using rolling 11-breath or 30-second average smoothing.
    2. Evaluate primary and secondary criteria for confirmation of true VO2max.
    3. Apply the V-slope method (VCO2 vs VO2) to identify VT1.
    4. Plot VE/VCO2 and VE/VO2 to detect the respiratory compensation point (VT2).
  • Process blood lactate profiles to determine Lactate Threshold (LT) and OBLA
    ~7hPractice

    Blood lactate profiling remains the benchmark method for endurance training zone prescription and assessing submaximal metabolic adaptations.

    You'll learn

    • Lactate Threshold 1 (LT1) — the first sustained rise in blood lactate above baseline resting levels
    • Onset of Blood Lactate Accumulation (OBLA) — exercise intensity corresponding to a fixed 4.0 mmol/L lactate concentration
    • Dmax method — mathematical threshold detection via maximum perpendicular distance to the secant line

    Examine blood lactate concentration curves obtained during stepped incremental exercise protocols. Learn capillary blood sampling standards, enzymatic lactate analyser calibration, and calculate physiological markers including Baseline + 1.0 mmol/L, Dmax method, Modified Dmax, and the Onset of Blood Lactate Accumulation (OBLA at 4.0 mmol/L).

    Done when: you have plotted three blood lactate curves, computed LT1, LT2/OBLA, and Dmax thresholds, and assigned five distinct physiological training zones based on lactate kinetics.

    How to work through it

    1. Review capillary blood sampling hygiene, safe lancet handling, and biohazard disposal standards.
    2. Plot blood lactate concentration against running speed / cycling power output.
    3. Implement the Dmax polynomial curve-fitting algorithm to find the point of maximal distance to the line connecting curve endpoints.
    4. Translate lactate transition thresholds into a 5-zone power/pace training prescription model.
  • Execute a dual force plate countermovement jump (CMJ) kinetic analysis
    ~8hBuild

    Force plate diagnostics are the industry standard across elite sports for monitoring neuromuscular fatigue, readiness, and return-to-play progression.

    You'll learn

    • Reactive Strength Index Modified (RSI-mod) — jump height divided by time to take-off
    • Impulse-momentum method — integrating net force over time to calculate take-off velocity
    • Inter-limb asymmetry — percentage difference in force output between left and right limbs

    Utilise dual force platform time-series data to evaluate neuromuscular readiness and vertical jump strategy. Calculate eccentric duration, braking impulse, concentric impulse, countermovement depth, reactive strength index modified (RSI-mod), and left-to-right force asymmetries.

    Done when: you have generated an automated jump analysis report that parses raw vertical ground reaction force data (1000 Hz) into key kinetic and kinematic phases and flags bilateral asymmetries exceeding 10%.

    How to work through it

    1. Import 1000 Hz time-series force plate data (Fz left, Fz right).
    2. Isolate unweighting, braking, and propulsive phases using standard acceleration-time integration.
    3. Calculate peak power, net impulse, jump height via impulse-momentum, and RSI-modified.
    4. Compute percentage inter-limb asymmetry across eccentric and concentric phases.
5

Strength & Conditioning Principles and Periodisation

Design scientific training programmes using evidence-based resistance training loading parameters, velocity-based training, and periodisation models.

  • Study physiological adaptations to mechanical tension, muscle damage, and metabolic stress
    ~8hLearn

    Designing effective conditioning requires knowing which training variables drive specific cellular and architectural tissue adaptations.

    You'll learn

    • Mechanotransduction — conversion of mechanical mechanical load into cellular biochemical signals
    • Rate of Force Development (RFD) — speed at which contractile force can be produced in early muscle contraction (<200ms)
    • Reps in Reserve (RIR) — subjective measurement of proximity to failure based on remaining repetitions

    Deep-dive into the cellular mechanisms driving hypertrophy, maximal strength, rate of force development (RFD), and tendon stiffness. Contrast high-load vs low-load resistance training adaptations, structural remodelling of extracellular matrix, and motor unit synchronization.

    Done when: you have completed a 5-page comparative analysis of neural versus morphological adaptations across 4, 8, and 16 weeks of resistance training.

    How to work through it

    1. Review mechanotransduction pathways including mTORC1 signalling and satellite cell activation.
    2. Compare pennation angle changes, fascicle length adaptations, and cross-sectional area (CSA) growth.
    3. Examine tendon morphological adaptations (collagen synthesis, tendon cross-sectional area, material stiffness).
    4. Synthesise load, volume, and proximity-to-failure (Reps in Reserve / RIR) thresholds for hypertrophy vs neural strength.
  • Design a 52-week annual periodisation plan (YTP) for an elite sport
    ~10hBuild

    Annual periodisation is the primary architectural framework used by sports scientists and strength coaches to peak athletes for major competitions.

    You'll learn

    • Block periodisation — concentrated training loads focusing on minimal targeted abilities per block
    • Tapering — non-linear reduction in training load designed to dissipate fatigue while maintaining fitness
    • Fitness-Fatigue Model (Banister) — two-factor model describing performance as fitness minus fatigue

    Construct a comprehensive Yearly Training Plan (YTP) for an athlete or team. Integrate macrocycle, mesocycle, and microcycle structures incorporating linear, undulating, or block periodisation methodologies. Account for preparatory, competitive, and transition phases, managing training volume, intensity, tapering, and peaking.

    Done when: you have produced a full 52-week Excel or PDF Gantt chart detailing training phases, volume/intensity curves, testing battery milestones, and taper protocols for a designated major championship.

    How to work through it

    1. Select a target sport and determine competition calendar dates and peak events.
    2. Structure the annual plan into Preparatory (General and Specific), Competitive (Pre-comp and Main comp), and Transition phases.
    3. Select an appropriate model: Block periodisation (Accumulation, Transmutation, Realisation) or Daily Undulating Periodisation (DUP).
    4. Plot weekly volume (tonnage/distance), relative intensity (% 1RM/velocity), and planned monitoring touchpoints.
    5. Design a 2-week step/exponential taper leading directly into the primary competition.
  • Implement Velocity-Based Training (VBT) target zones and auto-regulation
    ~6hPractice

    VBT provides objective, real-time feedback and eliminates the inaccuracies of fixed 1RM percentages caused by daily fatigue fluctuations.

    You'll learn

    • Mean Concentric Velocity (MCV) — average velocity across the entire concentric portion of a lift
    • Velocity Loss — percentage drop in velocity from the fastest rep to the final rep of a set
    • Auto-regulation — adjusting daily training volume or load based on real-time athlete readiness

    Learn velocity-based training protocols using linear position transducers or accelerometers. Map mean concentric velocity (MCV) and peak velocity cut-offs to specific training qualities: starting strength (>1.3 m/s), speed-strength (1.0 - 1.3 m/s), strength-speed (0.75 - 1.0 m/s), accelerative strength (0.5 - 0.75 m/s), and absolute strength (<0.5 m/s). Implement velocity loss thresholds (e.g., 10%, 20%, 40%) for auto-regulating daily volume.

    Done when: you have written a comprehensive VBT implementation guide specifying exact velocity targets and velocity-loss cutoffs for three distinct training mesocycles.

    How to work through it

    1. Construct a velocity-load profile for back squat and bench press across 40% to 90% 1RM.
    2. Define the five key velocity zones and their targeted physical adaptations.
    3. Establish set-termination velocity loss rules (e.g., 10-20% for power/strength, 30-40% for hypertrophy).
    4. Draft practical guidelines for daily 1RM estimation using warm-up set velocity tracking.
6

Sports Nutrition, Hydration, and Ergogenic Aids

Explore macro- and micronutrient metabolism, energy availability, hydration physiology, and the scientific evaluation of dietary supplements.

  • Calculate macro- and micronutrient requirements for athletic performance
    ~8hLearn

    Without proper fueling and nutritional periodisation, physiological adaptations to training are severely blunted.

    You'll learn

    • Muscle Protein Synthesis (MPS) — biochemical process where protein is produced to repair and grow muscle tissue
    • Leucine trigger — critical threshold concentration of leucine (~2.5-3g) required to maximally stimulate mTORC1
    • Glycogen threshold hypothesis — strategic training with low glycogen to amplify mitochondrial biogenesis signals

    Learn fuel requirements for endurance, power, and team sports. Master carbohydrate periodisation ('train low, compete high', glycogen threshold hypothesis), daily protein distribution and leucine triggers for muscle protein synthesis (MPS), and essential fatty acid requirements.

    Done when: you have generated three custom 7-day nutritional periodisation blueprints matching daily carbohydrate and protein intake to fluctuating daily training loads.

    How to work through it

    1. Calculate daily energy expenditure using resting metabolic rate (Cunningham/Harris-Benedict) and physical activity level (PAL) multipliers.
    2. Determine carbohydrate intake ranges (3-12 g/kg/day) scaled to daily training duration and intensity.
    3. Plan optimal protein dosing (0.4 g/kg/meal; 1.6 - 2.2 g/kg/day) spaced across 3-4 hour intervals.
    4. Structure intra-workout fueling strategies (30-90 g/hr multiple transportable carbohydrates for endurance events).
  • Evaluate Relative Energy Deficiency in Sport (REDs) and hydration status
    ~7hBuild

    Recognising energy deficiency and fluid imbalance is critical for athlete health, endocrine function, and preventing catastrophic performance collapse.

    You'll learn

    • Energy Availability (EA) — remaining dietary energy for physiological functions after exercise expenditure
    • REDs — comprehensive clinical syndrome of impaired physiological functioning caused by energy deficiency
    • Urine Specific Gravity (USG) — concentration of urine relative to water used as a biomarker of hydration

    Examine the IOC consensus on Relative Energy Deficiency in Sport (REDs), including low energy availability (LEA < 30 kcal/kg FFM/day), endocrine dysfunction, bone mineral density loss, and psychological consequences. Study hydration monitoring techniques: pre/post-exercise nude body mass changes, urine specific gravity (USG), and sweat electrolyte analysis.

    Done when: you have drafted a clinical/applied screening tool for identifying REDs symptoms and designed an individualized sweat rate and sodium replacement protocol from hydration test data.

    How to work through it

    1. Study the IOC REDs clinical assessment tool (REDs CAT2).
    2. Calculate Energy Availability (EA = (Energy Intake - Exercise Energy Expenditure) / Fat-Free Mass).
    3. Conduct a sweat rate testing protocol calculation (fluid intake, urine output, mass change).
    4. Create an athlete education sheet on urine colour, USG refactometry standards, and targeted rehydration formulas.
  • Audit sports supplements against the AIS Evidence Framework
    ~6hLearn

    Sports scientists must give evidence-based supplement advice while fiercely safeguarding athletes against inadvertent doping contamination.

    You'll learn

    • AIS Supplement Framework — classification grading sports supplements by scientific evidence backing
    • Informed Sport — global quality assurance and testing programme for sports supplements
    • Extracellular buffering — enhancing blood bicarbonate to buffer hydrogen ions during high-intensity exercise

    Evaluate ergogenic aids and sports supplements using the Australian Institute of Sport (AIS) ABCD Classification System and World Anti-Doping Agency (WADA) Prohibited List. Analyse the evidence base, dosing protocols, and mechanisms for Group A supplements: creatine monohydrate, caffeine, beta-alanine, dietary nitrates (beetroot juice), and sodium bicarbonate.

    Done when: you have compiled an evidence-based supplement advisory briefing covering physiological mechanisms, exact dosing protocols, timing, contraindications, and third-party batch-testing certification (e.g., Informed Sport).

    How to work through it

    1. Review the AIS Supplement Framework (Groups A, B, C, D) and WADA anti-doping code.
    2. Document the mechanistic action and dosing protocol for creatine (loading vs continuous) and caffeine (3-6 mg/kg).
    3. Examine intracellular vs extracellular buffering agents (beta-alanine vs sodium bicarbonate).
    4. Establish a standard verification checklist for third-party banned substance testing (Informed Sport / NSF Certified for Sport).
7

Performance Psychology and Skill Acquisition

Integrate cognitive-behavioural performance psychology, arousal regulation, motor learning paradigms, and constraints-led coaching frameworks.

  • Apply cognitive-behavioural performance enhancement strategies
    ~7hLearn

    Mental readiness directly mediates the expression of physical and physiological capabilities under competitive stress.

    You'll learn

    • IZOF — model describing optimal emotional and arousal states unique to individual athletes
    • PETTLEP — evidence-based framework for designing motor imagery interventions
    • Attentional focus — ability to shift between broad/narrow and internal/external attentional cues

    Examine psychological frameworks used in elite performance: arousal regulation (Inverted-U hypothesis, Individual Zones of Optimal Functioning / IZOF), attentional focus (Nideffer's model), cognitive reframing, imagery/visualization (PETTLEP framework), and self-talk interventions.

    Done when: you have designed a structured pre-performance psychological preparation routine incorporating PETTLEP imagery scripts and arousal regulation techniques for high-pressure competition.

    How to work through it

    1. Study Hanin's Individual Zones of Optimal Functioning (IZOF) model.
    2. Write a script applying the 7 components of the PETTLEP imagery model (Physical, Environment, Task, Timing, Learning, Emotion, Perspective).
    3. Develop an arousal regulation protocol using somatic (diaphragmatic breathing) and cognitive techniques.
    4. Formulate an objective checklist to evaluate pre-competition psychological readiness.
  • Implement constraints-led motor learning and non-linear pedagogy
    ~7hBuild

    Modern sports science favours representative learning design and perception-action coupling over rigid, unrepresentative movement drills.

    You'll learn

    • Constraints-Led Approach (CLA) — coaching framework manipulating task, environment, and organism constraints
    • External focus of attention — directing attention to the movement effect rather than body mechanics
    • Perception-action coupling — reciprocal relationship between perceiving environmental affordances and executing action

    Learn modern motor learning and skill acquisition science: dynamical systems theory, ecological dynamics, and the Constraints-Led Approach (CLA). Contrast traditional prescriptive coaching drills with constraint manipulation (organismic, environmental, task constraints) to encourage self-organisation and functional movement variability.

    Done when: you have created a coaching session plan for a complex motor skill that manipulates task and environmental constraints without explicit verbal instruction.

    How to work through it

    1. Examine Newell's model of constraints (individual, environment, task).
    2. Differentiate between internal focus of attention vs external focus of attention (Wulf's research).
    3. Design a small-sided game or skill drill modifying task constraints (rules, equipment size, pitch dimensions).
    4. Write a coaching reflection evaluating affordance landscape and movement solution discovery.
8

Sports Performance Data, Monitoring, and Athlete Management

Process wearable sensor data (GPS, microtechnology, accelerometers), track internal and external training load, and build automated athlete monitoring dashboards.

  • Process wearable GPS and microtechnology tracking data
    ~9hPractice

    Wearable tracking analysis is the single most common day-to-day technical responsibility for sports science practitioners in team environments.

    You'll learn

    • PlayerLoad / Vector Magnitude — tri-axial accelerometer derived metric quantifying cumulative physical work
    • High-Speed Running (HSR) — distance covered above a defined velocity threshold (typically >5.5 m/s or 19.8 km/h)
    • Horizontal Dilution of Precision (HDOP) — geometric measure of GPS satellite arrangement precision

    Learn the mechanics and metrics of Global Navigation Satellite Systems (GNSS/GPS) and inertial measurement units (IMUs/accelerometers) in field sports. Clean and parse raw tracking metrics: total distance, high-speed running distance (>19.8 km/h), sprint distance (>25.2 km/h), accelerations, decelerations, metabolic power, and PlayerLoad / Dynamic Stress Load.

    Done when: you have imported raw GPS multi-player session data into Python or R, filtered satellite quality noise (HDOP / satellite count), and generated a match-demand summary table.

    How to work through it

    1. Review GNSS sampling rates (10Hz vs 15Hz vs 20Hz) and accelerometer sampling (100Hz+).
    2. Import raw CSV export files from a tracking provider (e.g., Catapult, STATSports, or open datasets).
    3. Calculate player positional breakdown of high-speed running and sprint volumes.
    4. Establish threshold zones tailored to individual peak velocity versus absolute velocity bands.
  • Model training load, ACWR, and heart rate variability (HRV)
    ~10hPractice

    Synthesising internal strain against external work volume prevents overreaching and informs daily training modifications.

    You'll learn

    • Session-RPE — internal training load quantification combining subjective intensity with duration
    • rMSSD — root mean square of successive RR interval differences, primary marker of cardiac parasympathetic tone
    • Exponentially Weighted Moving Average (EWMA) — time-decay weighting giving greater importance to recent training stress

    Calculate external and internal training load metrics. Compute session-RPE (Foster method), Edwards heart rate training impulse (TRIMP), Banister TRIMP, and examine the calculation and statistical criticisms of the Acute:Chronic Workload Ratio (ACWR). Integrate daily resting vagal HRV metrics (rMSSD, ln rMSSD, 7-day rolling baseline) and subjective wellness surveys.

    Done when: you have built a training load calculation pipeline that ingests daily sRPE, GPS load, and resting rMSSD, outputting EWMA (exponentially weighted moving average) load profiles and flagging meaningful physiological deviations via Z-scores.

    How to work through it

    1. Calculate session-RPE (sRPE = RPE * session duration in minutes).
    2. Implement Banister's TRIMP calculation using heart rate reserve fractions.
    3. Compute rolling 7-day acute and 28-day chronic loads using Exponentially Weighted Moving Averages (EWMA).
    4. Calculate log-transformed rMSSD (ln rMSSD) and construct smallest worthwhile change (SWC) confidence bands.
  • Build an interactive athlete monitoring dashboard
    ~12hBuild

    Data is useless without clear visual communication; dashboards bridge data science and actionable pitch-side coaching decisions.

    You'll learn

    • Dashboard design principles — visual hierarchy, high data-to-ink ratio, and actionable UI/UX
    • R Shiny / Streamlit / PowerBI — interactive reporting tools for automated sports science data pipelines
    • Z-Score normalisation — standardising diverse metrics to common unitless standard deviation scales

    Build an operational athlete monitoring dashboard using Power BI, Tableau, R Shiny, or Python Streamlit. Connect tracking metrics, force plate CMJ readiness data, resting HRV, and wellness questionnaires into an automated decision-support interface for coaching and medical staff.

    Done when: you have deployed a functional dashboard featuring individual and squad views, automated traffic-light alerts for atypical fatigue markers, and interactive date/drill filtering.

    How to work through it

    1. Design a relational database schema linking player demographics, wellness, testing, and GPS tables.
    2. Build dynamic data visualisations highlighting individual deviations against 30-day personal baselines.
    3. Add interactive squad summary tables and drill-specific workload breakdowns.
    4. Implement automated flagging for values exceeding +/- 1.5 standard deviations from baseline.
9

Applied Practice Across Populations: Youth, Elite, and Clinical Rehabilitation

Adapt scientific testing, biomechanics, and exercise prescription across youth development, elite professional sport, and clinical exercise rehabilitation.

  • Design Long-Term Athlete Development (LTAD) programs for youth populations
    ~8hBuild

    Working with developing athletes requires distinct physiological safety considerations and maturity-guided programming.

    You'll learn

    • Peak Height Velocity (PHV) — period of maximum growth rate in stature during the adolescent growth spurt
    • Bio-banding — grouping youth athletes by biological maturity status rather than chronological age
    • Youth Physical Development Model — evidence-based framework for youth physical development from early childhood to adulthood

    Study pediatric exercise science, growth, and maturation. Learn maturity offset prediction (Mirwald / Khamis-Roche methods), Peak Height Velocity (PHV), and the Youth Physical Development (YPD) model (Lloyd and Oliver). Design age- and maturity-appropriate conditioning protocols mitigating adolescent apophyseal injuries (Osgood-Schlatter, Sever's disease).

    Done when: you have generated an LTAD pathway document prescribing training modalities, bio-banding strategies, and volume constraints for pre-PHV, circum-PHV, and post-PHV athletes.

    How to work through it

    1. Learn anthropometric measurements for calculating estimated age at Peak Height Velocity (aPHV).
    2. Examine neural versus structural windows of trainability across childhood and adolescence.
    3. Implement bio-banding criteria for developmental competitions and physical testing evaluations.
    4. Formulate injury prevention strategies addressing adolescent growth spurts and temporary movement coordination deficits (adolescent awkwardness).
  • Develop Return-to-Play (RTP) testing and reconditioning criteria
    ~9hBuild

    Sports scientists are responsible for quantifying workload and objective physical readiness during the late-stage reconditioning and RTP transition.

    You'll learn

    • Control-Chaos Continuum — framework for progressing athletes from structured rehab to unpredictable competitive demands
    • Limb Symmetry Index (LSI) — ratio of injured limb performance compared to uninjured limb expressed as a percentage
    • Worst-Case Scenario (WCS) — peak mechanical and physiological demands of competition calculated over 1 to 5 minute rolling epochs

    Bridge sports science with sports medicine and physiotherapy. Learn the control-chaos continuum in reconditioning (Taberner model), criterion-based progression, and objective discharge testing batteries (quadriceps/hamstring strength symmetry indices, hop testing, change-of-direction biomechanics, and GPS high-speed running exposure) following major injuries such as ACL reconstruction or hamstring strain.

    Done when: you have created a 5-stage objective Return-to-Play testing framework detailing exact physiological, biomechanical, and workload benchmarks required before an athlete transitions from rehabilitation to full competition.

    How to work through it

    1. Study the 5 phases of the Control-Chaos Continuum (High Control, Moderate Control, Control to Chaos, Moderate Chaos, High Chaos).
    2. Select validated discharge testing batteries: limb symmetry index (LSI > 90%), isometric peak force, and reactive strength.
    3. Establish GPS acute exposure thresholds matching worst-case match running demands before full-contact clearance.
    4. Write an interdisciplinary communication protocol between sport scientist, physiotherapist, and head coach.
  • Prescribe clinical exercise for chronic metabolic and cardiovascular conditions
    ~8hApply

    Exercise science principles are widely employed within public health, clinical referral schemes, and cardiac rehabilitation.

    You'll learn

    • FITT-VP Principle — framework defining Frequency, Intensity, Time, Type, Total Volume, and Progression
    • Exercise is Medicine (EIM) — global initiative promoting physical activity assessment and prescription in clinical care
    • Hemodynamic contraindications — clinical thresholds where exercise poses unacceptable cardiovascular risk

    Understand clinical exercise physiology aligning with ACSM and ESSA clinical standards. Review exercise prescription guidelines (FITT-VP principle: Frequency, Intensity, Time, Type, Volume, Progression) for populations with hypertension, Type 2 diabetes, obesity, coronary artery disease, and osteoarthritis. Examine contraindications and medical clearance protocols.

    Done when: you have produced two clinical exercise case studies detailing tailored FITT-VP exercise prescriptions, risk stratification, and monitoring protocols for a diabetic and a hypertensive patient.

    How to work through it

    1. Review ACSM Guidelines for Exercise Testing and Prescription for special clinical populations.
    2. Structure aerobic and resistance FITT-VP parameters managing blood glucose monitoring and insulin sensitivity in diabetes.
    3. Identify absolute and relative contraindications to clinical exercise testing.
    4. Document medication interactions with exercise hemodynamics (e.g., beta-blockers blunting heart rate response).
10

Environmental Physiology and Extreme Performance

Examine human thermoregulation, acclimation protocols, and physiological compensations to altitude, heat, humidity, and cold.

  • Study thermoregulation, heat illness, and heat acclimation protocols
    ~7hLearn

    Major competitions frequently occur in hostile thermal environments, demanding structured pre-competition heat preparation.

    You'll learn

    • Wet-Bulb Globe Temperature (WBGT) — composite temperature index used to estimate environmental heat stress
    • Heat acclimation — physiological adaptations induced by repeated artificial heat exposures
    • Exertional Heat Stroke (EHS) — life-threatening medical emergency characterized by core body temperature >40.5°C and CNS dysfunction

    Understand the biophysics of heat transfer: radiation, conduction, convection, and evaporation. Investigate physiological mechanisms of heat exhaustion and exertional heat stroke (EHS), Wet-Bulb Globe Temperature (WBGT) monitoring, and active vs. passive heat acclimation protocols (environmental chambers, saunas, hot water immersion).

    Done when: you have designed a 14-day heat acclimation program detailing exposure durations, temperatures, humidity levels, core temperature monitoring targets, and expected plasma volume expansion.

    How to work through it

    1. Diagram the pathways of core body temperature regulation via the preoptic anterior hypothalamus.
    2. Define Wet-Bulb Globe Temperature (WBGT) indices and safety work-to-rest modifications.
    3. Map physiological adaptations across a 14-day acclimation period (plasma volume expansion, lowered sweat threshold, reduced sweat sodium concentration).
    4. Draft an acute exertional heat illness emergency management protocol (rapid whole-body cold water immersion).
  • Examine hypoxic physiology and altitude training methodologies
    ~7hLearn

    Endurance sports routinely leverage altitude training camps; understanding hypoxic adaptation prevents maladaptive overtraining and illness.

    You'll learn

    • Live High-Train Low (LHTL) — altitude paradigm maximizing hypoxic hematological adaptations while preserving high training velocities at low altitude
    • Erythropoietin (EPO) — renal glycoprotein hormone that stimulates red blood cell production in response to hypoxia
    • Hemoglobin mass (Hbmass) — total circulating volume of hemoglobin, measured via CO rebreathing methods

    Study hypobaric vs normobaric hypoxia, partial pressure of oxygen changes, hyperventilation response, and erythropoietin (EPO) production. Compare altitude training modalities: Live High-Train High (LHTH), Live High-Train Low (LHTL), and Live Low-Train High (LLTH/intermittent hypoxic exposure). Account for non-responders, iron status screening (ferritin requirements), and optimal altitude elevation bands (2000-2500m).

    Done when: you have compiled an altitude camp planning document outlining pre-camp iron screening cut-offs, daily SpO2/HRV monitoring protocols, and competition descent timing.

    How to work through it

    1. Calculate oxygen partial pressures across elevations from sea level to 4000m.
    2. Contrast acute physiological compensations against chronic adaptations (hematocrit, hemoglobin mass, angiogenesis, buffer capacity).
    3. Establish serum ferritin threshold criteria (>50 ng/mL) necessary prior to altitude ascent.
    4. Formulate an optimal 21-day Live High-Train Low training schedule and return-to-sea-level competition timeline.
11

Research Methods, Statistics, and Evidence-Based Practice

Master sports science statistical analysis, magnitude-based decisions, smallest worthwhile change, and research design to critically appraise sports performance literature.

  • Master sports science statistics: Reliability, validity, and typical error
    ~9hPractice

    You cannot determine if an athlete has improved without knowing your measurement tool's noise and error limits.

    You'll learn

    • Typical Error of Measurement (TE) — standard deviation of individual variation across repeated trials
    • Coefficient of Variation (CV%) — measure of relative measurement error expressed as a percentage of the mean
    • Intraclass Correlation Coefficient (ICC) — statistical metric assessing the consistency of repeated measures

    Learn the measurement properties of sports science testing tools. Calculate within-subject variation, typical error of measurement (TE), coefficient of variation (CV%), intraclass correlation coefficient (ICC), Bland-Altman limits of agreement, and distinguish between concurrent validity and test-retest reliability.

    Done when: you have written a script or spreadsheet that ingests repeated-measures testing data, calculates TE, CV%, and ICC, and determines whether an observed test change is real or measurement noise.

    How to work through it

    1. Define test-retest reliability, intra-rater reliability, and inter-rater reliability.
    2. Compute the typical error of measurement (TE = SD of difference scores / sqrt(2)).
    3. Calculate the percentage coefficient of variation (CV% = (TE / Mean) * 100).
    4. Construct a Bland-Altman plot to visualise systematic bias and 95% limits of agreement.
  • Apply Smallest Worthwhile Change (SWC) and effect size statistics
    ~8hBuild

    P-values are inadequate for single-athlete decisions; sports scientists must use estimation statistics and smallest worthwhile changes to guide coaching.

    You'll learn

    • Smallest Worthwhile Change (SWC) — the minimum threshold of improvement that confers a real-world competitive advantage
    • Cohen's d — standardized difference between two means expressed in standard deviation units
    • Estimation statistics — data analysis focusing on effect sizes and confidence intervals rather than null-hypothesis p-values

    Implement modern statistical inference in sports science. Learn Cohen's d effect sizes, the Smallest Worthwhile Change (SWC = 0.2 * between-subject SD in team sports or 0.3-0.5 * CV in individual sports), and practical significance testing. Compare traditional null hypothesis significance testing (p-values) with magnitude-based inferences and estimation statistics.

    Done when: you have generated an athlete assessment dashboard widget that categorises performance changes as 'Beneficial', 'Trivial', or 'Harmful' based on the relationship between observed change, TE, and SWC.

    How to work through it

    1. Calculate Cohen's d effect size for pre-post intervention data.
    2. Determine the Smallest Worthwhile Change (SWC) for vertical jump, sprint time, and VO2max.
    3. Construct a decision matrix comparing individual change score against the confidence interval and SWC.
    4. Write a practical report explaining statistical certainty of an intervention to non-technical coaching staff.
  • Conduct a critical literature appraisal on a contentious sports science topic
    ~10hApply

    Evidence-based practice requires separating rigorous scientific findings from commercial fitness hype and flawed research methodology.

    You'll learn

    • PICO framework — structured method for formulating targeted research questions
    • PEDro scale — 11-item checklist used to assess the methodological quality of clinical/exercise trials
    • Evidence-Based Practice (EBP) — integrating best research evidence with practitioner expertise and athlete values

    Select a contemporary, debated topic in exercise science (e.g., cold water immersion blunting hypertrophy, high-intensity interval training vs. polarized endurance volume, static stretching and power output). Conduct a systematic literature search, appraise methodology quality using standard risk-of-bias frameworks (e.g., PEDro scale), and synthesise practical recommendations.

    Done when: you have authored an evidence-based synthesis paper (2,500 words) evaluating the scientific literature, contrasting conflicting findings, and delivering clear practical coaching guidelines.

    How to work through it

    1. Formulate a PICO (Population, Intervention, Comparison, Outcome) search question.
    2. Search PubMed, SPORTDiscus, and Web of Science for peer-reviewed studies.
    3. Evaluate 8-12 relevant studies using the PEDro quality scoring scale.
    4. Author a systematic synthesis paper highlighting methodological limitations and practical applications.
12

Professional Accreditation, Ethics, and Portfolio Assembly

Prepare for professional accreditation (BASES SEPAR in the UK, NSCA CPSS/CSCS, ESSA, ACSM EP), compile applied case studies, and navigate the sports science career landscape.

  • Audit accreditation requirements: BASES SEPAR, NSCA, ACSM, and ESSA
    ~6hLearn2 resources

    Professional accreditation is the legally and organisationally recognised benchmark required for full employment across elite sports institutes and clinical systems.

    You'll learn

    • BASES SEPAR — the UK benchmark qualification for professional accreditation as an applied sport and exercise scientist
    • NSCA CPSS — international credential certifying advanced sports data analytics and performance science competency
    • Scope of Practice — legally defined boundaries and ethical limits of professional practice within exercise science

    Review the specific educational, supervised practice, and portfolio requirements for major international sports science accreditation bodies: British Association of Sport and Exercise Sciences (BASES Supervised Experience / SEPAR), National Strength and Conditioning Association (NSCA CPSS / CSCS), Exercise & Sports Science Australia (ESSA AES/AEP), and American College of Sports Medicine (ACSM EP/CEP). Map out supervisor requirements, competency areas, and reflective practice logs.

    Done when: you have produced a comparative matrix and written personal career development timeline outlining the exact accreditation pathway, supervisor needs, and evidence collection required for your chosen operating country.

    How to work through it

    1. Download and review the BASES Supervised Experience Portfolio Assessment (SEPAR) candidate handbook.
    2. Examine NSCA Certified Performance and Sport Scientist (CPSS) prerequisites and exam blueprint.
    3. Compare ESSA Accredited Exercise Scientist (AES) and ACSM Exercise Physiologist domains.
    4. Formulate a 2-year accreditation roadmap identifying prospective accredited mentors and clinical/club placement environments.
  • Establish an ethical practice framework and athlete data governance protocol
    ~6hApply

    Sports scientists handle sensitive biometric, health, and contract-influencing performance data requiring rigorous ethical and legal safeguards.

    You'll learn

    • BASES Code of Conduct — binding ethical guidelines for accredited sport and exercise scientists
    • Biometric Data Governance — legal and secure management of athlete physiological and tracking records
    • Athlete Safeguarding — protecting youth and adult athletes from physical, psychological, and systemic harm

    Develop strict protocols for professional ethics, athlete confidentiality, informed consent, and data protection under GDPR/HIPAA standards. Address complex applied ethical challenges: communicating with head coaches, whistleblowing on unethical practices, managing conflicts of interest, handling biometric data ownership, and maintaining dual-career boundaries.

    Done when: you have drafted an applied Sports Science Data Governance and Ethical Practice Code compliant with BASES/ACSM ethical standards and national data privacy regulations.

    How to work through it

    1. Review the BASES Code of Professional Conduct and international sports science ethics declarations.
    2. Draft a comprehensive athlete data management policy detailing encryption, access control, and GDPR retention limits.
    3. Develop informed consent procedures covering physiological testing and wearable GPS monitoring.
    4. Write three ethical dilemma scenario solutions addressing conflicts between head coach pressure and athlete welfare.
  • Assemble an applied sports science case study portfolio
    ~14hBuild

    A structured, evidence-backed case study portfolio is the primary artifact evaluated by hiring directors in high-performance sports institutes and professional franchises.

    You'll learn

    • Gibbs' Reflective Cycle — structured reflective practice model widely required for sports science accreditation
    • Evidence of Competency — verifiable work artifacts proving practical testing, analysis, and communication capability
    • Applied Case Study Formulation — standard presentation framework linking problem diagnosis, intervention, and validated outcomes

    Synthesise your theoretical knowledge, laboratory testing competencies, data analysis pipelines, and programming frameworks into a comprehensive professional case study portfolio. Feature three complete applied case studies: (1) Laboratory physiological and force profiling of an athlete, (2) Wearable tracking load management and monitoring system for a team, and (3) A targeted reconditioning or youth LTAD intervention. Format each case study using Gibbs' Reflective Cycle (Description, Feelings, Evaluation, Analysis, Conclusion, Action Plan).

    Done when: you have completed, bound, and published a digital portfolio containing three verified case studies complete with raw data processing artifacts, visualizations, and structured Gibbs reflections meeting BASES SEPAR submission standards.

    How to work through it

    1. Select three applied scenarios: laboratory physiological profiling, microtechnology load monitoring, and targeted reconditioning.
    2. Compile all associated objective data files, charts, dashboards, and programming interventions.
    3. Write comprehensive clinical/performance narratives detailing the needs analysis, intervention design, outcome measures, and multidisciplinary communication.
    4. Structure critical self-evaluations using Gibbs' Reflective Cycle to demonstrate reflective practice competency.
    5. Publish the portfolio on a professional web repository or digital dossier ready for accreditation submission and job applications.

How the plan fits together

12 phases in 5 stages. Anything on the same row can be worked on at the same time, and 2 of them can start straight away.

An arrow points from a phase to the work it unlocks: before starting any phase, every phase with an arrow into it has to be finished first.

STARTSTAGE 2STAGE 3STAGE 4STAGE 51Human Anatomy andBioenergetics3 tasks · ~24h2Neuromuscular,Cardiovascular, andRespiratory Systems3 tasks · ~22h3Biomechanical Foundationsand Movement Analysis3 tasks · ~25h4Laboratory and FieldTesting Methodologies4 tasks · ~29h5Strength & ConditioningPrinciples andPeriodisation3 tasks · ~24h6Sports Nutrition,Hydration, and ErgogenicAids3 tasks · ~21h7Performance Psychology andSkill Acquisition2 tasks · ~14h8Sports Performance Data,Monitoring, and AthleteManagement3 tasks · ~31h9Applied Practice AcrossPopulations: Youth, Elite,and Clinical…3 tasks · ~25h10Environmental Physiologyand Extreme Performance2 tasks · ~14h11Research Methods,Statistics, andEvidence-Based Practice3 tasks · ~27h12ProfessionalAccreditation, Ethics, andPortfolio Assembly3 tasks · ~26h

Resources

18 in this plan's library, beyond the links on individual tasks.

Textbooks and academic resources

Foundational textbooks in physiology, biomechanics, and testing standards.

  • Advanced Environmental Exercise Physiology

    In-depth treatment of physiological adaptation, acclimatization protocols, and risks across heat, cold, altitude, and hyperbaric environments.

    Human Kinetics (Stephen S. Cheung, Philip N. Ainslie) · Book · ~£65 · Advanced

  • Biomechanical Basis of Human Movement

    Comprehensive foundational reference covering linear kinetics, angular kinematics, and quantitative mechanical analysis of sport movement.

    Wolters Kluwer (Joseph Hamill, Kathleen M. Knutzen, Timothy R. Derrick) · Book · ~£60 · Intermediate

  • Clinical Sports Nutrition

    The definitive clinical guide on energy availability, fueling strategies, fluid balance, and evaluating evidence-based ergogenic supplements.

    McGraw-Hill Education (Louise Burke and Vicki Deakin) · Book · ~£80 · Intermediate to Advanced

  • Dynamics of Skill Acquisition: A Constraints-Led Approach

    Establishes ecological dynamics and constraints-led motor learning principles to design impactful practice sessions.

    Human Kinetics (Keith Davids, Chris Button, Simon Bennett) · Book · ~£50 · Intermediate

  • NSCA’s Essentials of Sport Science

    Essential guide bridging multidisciplinary performance monitoring, workload management, and data translation in elite sport.

    nsca.com · Human Kinetics · Book · ~$90 to $130 · Advanced

  • Physiology of Sport and Exercise

    The gold-standard introductory textbook for understanding acute muscular, bioenergetic, and cardiorespiratory responses to exercise.

    Human Kinetics (W. Larry Kenney, Jack H. Wilmore, David L. Costill) · Book · ~£75 · Beginner to Intermediate

  • Physiology of Sport and Exercise (8th Edition)

    Comprehensive textbook providing foundational visual explanations of substrate metabolism, cardiorespiratory kinetics, and neuromuscular adaptations to exercise.

    vitalsource.com · Human Kinetics · Book · ~$70 to $120 · Intermediate

  • Research Methods in Physical Activity

    Standard guide for experimental design, statistical power, magnitude-based inferences, and critical literature appraisal in exercise science.

    Human Kinetics (Jerry R. Thomas, Jack K. Nelson, Stephen J. Silverman) · Book · ~£70 · Intermediate

  • Science and Practice of Strength Training

    Essential reading for mastering force-velocity curves, loading parameters, and scientific periodisation architectures.

    Human Kinetics (Vladimir M. Zatsiorsky, William J. Kraemer, Andrew C. Fry) · Book · ~£55 · Intermediate

  • Science of Exercise

    Entry-level course covering bioenergetics, acute physiological responses, and systemic adaptations to physical exertion.

    University of Colorado Boulder · Online Course · Free to audit · Beginner

  • Sport and Exercise Physiology Testing Guidelines: Volume I - Sport Testing

    Standardized physiological testing protocols, metabolic calibration, blood lactate profiling, and safety guidelines compliant with BASES.

    Routledge / British Association of Sport and Exercise Sciences (BASES) · Book · ~£45 · Advanced

  • Sport and Exercise Physiology Testing Guidelines: Volume I – Sport Testing (2nd Edition)

    Gold-standard manual delivering standardized laboratory and field testing protocols for VO2 max, lactate threshold, and anthropometry.

    routledge.com · Routledge · Book · ~$45 to $55 · Intermediate

Accreditation and professional bodies

Official candidate handbooks, competency frameworks, and ethical codes.

  • BASES Supervised Experience (SE) and SEPAR Frameworks

    Structured supervised practice pathways requiring portfolio development and demonstrated applied competency across sport and exercise domains.

    bases.org.uk · British Association of Sport and Exercise Sciences · Accreditation Framework · Paid · Advanced

  • NSCA Certified Performance and Sport Scientist (CPSS)

    Advanced professional credential validating cross-domain competency in sports science theory, assessment, and data management.

    nsca.com · National Strength and Conditioning Association · Certification · $340 to $475 · Advanced

Software tools and open datasets

Open-source motion capture, data analysis libraries, and tracking data.

  • Kinovea

    Open-source 2D motion analysis tool for calculating joint kinematics, velocities, and angles from video footage.

    kinovea.org · Joan Charmant · Software · Free · Beginner

  • Metrica Sports Open Tracking and Event Data

    Raw 25 Hz tracking and event data from football matches used to practice calculating high-speed running metrics and pitch control.

    github.com · Metrica Sports · Open Dataset · Free · Intermediate

  • OpenSim

    Open-source modeling and simulation platform to build musculoskeletal models and perform inverse dynamics.

    simtk.org · Stanford University / SimTK · Software · Free · Advanced

  • trackeR: Infrastructure for Running, Cycling and Swimming Data

    An R package specifically built to import, clean, and analyze training session data from wearable sensors and GPS trackers.

    cran.r-project.org · CRAN / Robin Hornak and Ioannis Kosmidis · R Package · Free · Intermediate