6B028E - Football Performance Support: Enabling Winning Teams 01 Sep 2026 - 31 Aug 2032 | Version 0
Associated Module Information
| Module Code: | 6B028E | ||
|---|---|---|---|
| Module Title: | Football Performance Support: Enabling Winning Teams | ||
| Faculty: | Faculty of Life Sciences and Education | ||
| Faculty Group: | Sport | ||
| Faculty Sub Group: | Football Coaching | ||
| Module Leader: | Ioan Paval | ||
| Module Team: | Peter Ashcroft, Lee Baldock, Jayne Ludlow, Liviu Cristea | ||
| First Intended Intake: | SEP 2026 | Final Year of Intake: | 2031 |
| Date Closed: | |||
| Credit Value: | 30 | Credit Level: | 6 |
| Language: | English | ||
| Percentage of Module Taught in Welsh: | 0 | ||
| Equivalent Module: | |||
| HECOS codes: | 100095 - sports coaching | ||
| HECOS Code Weighting: | 100 | ||
Document Version Information
| Version | 0 |
|---|---|
| Valid From | 01 Sep 2026 |
| Valid To | 31 Aug 2032 |
Module Aims
The main aims of the module are:
To develop advanced competence in integrating performance services (psychology, physical performance, and analysis) to optimise team performance and evidence based decision making culture.
To enable students to design, manage, and critically evaluate high-performance systems and interdisciplinary collaboration within football to elicit performance enhancing interventions.
Content Summary
This module is the pinnacle of the Football Performance Support pathway, where you move from supporting individual players (Level 5) to strategically leading integrated performance services for entire teams. You’ll explore how analysis, psychology, and physical performance work together to create winning cultures, resilient squads, and high-performing environments.
You’ll learn how to coordinate departments, manage inter-disciplinary challenges, and integrate data into unified tactical, physical, and cultural strategies. The focus is on system-wide performance leadership and understanding how different services connect, how information flows, and how aligned processes drive collective success.
Through authentic, challenge-based projects, you will evaluate team-level data sets, analyse group dynamics, and design holistic performance frameworks that enhance cohesion, wellbeing, and on-pitch outcomes. You’ll experience what it means to think like a performance leader, not just a practitioner.
By the end of the module, you’ll be able to lead, integrate, and critically evaluate complex performance systems, turning insight into coordinated action that helps teams thrive both competitively and sustainably.
Learning and Teaching Methods
| Activity Type | Hours |
|---|---|
| Seminars | 30 |
| Groupwork | 33 |
| Guided Study | 105 |
| Problem/Challenge based learning | 36 |
| Practical Classes and Workshops | 20 |
| Formative Assessment | 25 |
| Summative Assessment | 51 |
| Total Hours Selected | 300 |
Learning Outcomes
| # | Learning Outcome |
|---|---|
| LO1 | Critically evaluate and synthesise multidisciplinary data to inform strategic decisions that enhance team performance and cohesion. |
| LO2 | Integrate and interpret data from multiple performance domains to make evidence-based decisions that optimise team success. |
Module Requisites
N/A
Assessment Criteria
| Assessment Category | Assessment Type | Description | Duration | Word Count | Weight (%) | Best of? | Pass Mark |
|---|---|---|---|---|---|---|---|
| Asynchronous Assessment | Student Choice 1 | The task synthesises learning across the pathway by requiring students to design and justify an integrated team-performance strategy that aligns psychological, physical, and analytical insights within a coherent tactical framework to support football team preparation. This reflects authentic multi-disciplinary team (MDT) practice, where practitioners are required to coordinate services, interrogate evidence collaboratively, and communicate decisions with clarity, professionalism, and authority. | 38 | 5000 | 100 | No | 40 |
Assessment Matrix
| Assessment Type | Learning Outcomes | ||
|---|---|---|---|
| LO1 | LO2 | ||
| Student Choice 1 | ✔ | ✔ | |