AI Training · Sports Performance & Analytics
AI Training for Sports Performance & Analytics Teams
Your performance and analytics staff already turn tracking exports and tagged clips into reports, and matchday statistics keep arriving faster than the weekly schedule allows. This program stays inside that knowledge work — performance-data summarization, scouting and opposition-analysis write-ups, video-analysis notes, and training-plan documentation support.
It draws a hard line at medical diagnosis, treatment, and eligibility decisions, and leaves club business, ticketing, and sponsorship to a separate program. Every exercise ends with a named coach or analyst reviewing the output, with a sports scientist stepping in before a player or coaching staff sees it.
- modules
- 6
- hours
- 13
Some of the 500+ brands we've worked with
Selected brands we’ve worked with across industries.
AVVAGlobalCase Study
Why this training
Why AI for this team?
Two days turn tracking exports and tagged video into reports. Match-stats feeds become scouting write-ups, video-analysis notes, and training-plan documentation that a coach can use. Performance and analytics staff draft from data that's already been collected and approved. They structure a first-pass summary or write-up and flag whatever needs a second look before anyone signs off on it.
The fixture calendar doesn't slow down: tracking exports, match stats, tagged video, and wellness questionnaires generate more material than an analyst can report on by hand, and a fluent AI summary is still neither a verified statistic nor a medical judgment. Tactical calls and training loads stay with coaching staff, medical and eligibility decisions stay with qualified medical staff, with a firm line at diagnosis and treatment. Club operations, ticketing, and sponsorship belong to AI training for sports organizations instead, both sitting in the AI training catalog, adjusted to your reporting formats and department maturity.
More numbers every session than anyone can write up
GPS exports, match-stats feeds, and wellness questionnaires generate more figures every session than an analyst can shape into a report by hand — AI structures a first-pass summary and flags outliers, but every figure still traces back to its source export.
The week between fixtures is short
Analysts get only days to turn match footage and event data into an opposition report or scouting note — structured AI use speeds up that first draft without inventing a pattern the footage doesn't actually show.
One match, hundreds of clips
A single match generates hundreds of tagged events, more than any analyst can annotate by hand in the time available — AI turns clip tags and event logs into structured session notes and review packs.
The record stays downstream of the plan
Periodization documents and load-monitoring summaries need to stay current with the week's schedule — AI drafts and updates that paperwork from parameters coaches have already set, and never decides the load or session itself.
Athlete data is sensitive, and some calls are off-limits
Biometric, wellness, and performance data are sensitive, and no automated system should make a medical, eligibility, or selection call — that rule holds without exception, and staff need practical rules for what AI may summarize and draft.
Syllabus
Training syllabus
Where the data stops and judgment begins
90 minBeginner
A performance-specific mental model for where AI actually helps, summarizing, structuring, drafting, and where it has to stop completely. The module opens with those delegation boundaries before any prompting technique, so every later exercise starts from the same limits.
- Summarizing and drafting on delegated tasks
- Summary versus statistical model
- When the stats commentary sounds too sure
- Documentation support stops before coaching or medical calls, including selection decisions
- A review habit before anything reaches a coach
Reports coaches can act on
120 minIntermediate
Exported tracking and GPS data become readable reports. Match-stats data joins them for coaches and players here. Participants practice keeping every summary traceable to its source export instead of smoothing gaps into a tidy narrative. Nothing gets rounded off just to look cleaner.
- Tracking and match-stats data, in plain language
- Individual and team reports from the same exports
- Outliers flagged for a second look
- Trends across sessions, without claiming causation
- Reporting boundaries: staying inside what the data shows
- Every summary traced back to its export
A footage-based report before the next match
150 minIntermediate
Opposition reports and scouting notes get structured from approved match footage, event data, and analyst observations here, with the recommendation and the selection call staying firmly with the coaching staff, never the model.
- Opposition reports from footage and event data
- Scouting notes built on tagged clips
- Formations and set pieces, matched across games
- Real pattern, or AI speculation?
- A source behind every scouting claim
- Who signs off on the final pick
From tagged clips to a session-review pack
120 minIntermediate
Coach-tagged clips and event logs become structured session notes and review packs here. The focus stays on organizing and drafting from tags a human has already set.
- Clips and event logs into session notes
- Player and unit packs from tagged footage
- A searchable clip library
- Video notes in more than one language
- Attribution checked before a player sees it
Documenting the plan without deciding it
120 minIntermediate
AI drafts and maintains periodization documentation, session-plan write-ups, and load-monitoring summaries here, for the coaching and sports-science staff who set the plan. It updates the paperwork. It never touches the load or the session. Anyone's return-to-play timeline stays out too.
- Session-plan documentation from coach-set parameters
- Load and wellness, summarized
- Documentation that keeps up with the schedule
- Documentation boundaries: recording the plan, staying off load and care decisions
- Athlete-facing summaries, drafted first
- Version control across a whole season
Rules that outlast the workshop
150 minAdvanced
The operating rules get set here, for after the workshop ends. Staff design a safe workflow for athlete data, quality review, and shared assets, while medical, eligibility, and selection calls stay exactly where they belong, with qualified people. Nobody leaves this module with a vague promise about data safety instead of an actual rule.
- Classifying athlete data before it's used
- No automated medical diagnosis, treatment, or eligibility decisions, ever
- Approved tools, with retention and access rules documented
- Bias and invented statistics, checked for
- Who owns performance and scouting, including plan decisions
- A workflow library and a department scorecard
Outcomes
Outcomes & audience
What you will learn
- Build reports coaches can trust from tracking exports
- Scouting and opposition write-ups backed by cited footage
- Session-review notes, ready for a player pack
- A documented, unchanged plan
- Classify athlete data before it moves anywhere
- Catch a confident-sounding error before it reaches a report
- Who makes the final call
- Templates ready for reports and scouting notes, plus summaries
Who should attend
- Performance and match analysts, including opposition analysts
- Video analysts and the wider analysis department
- Sports scientists and strength and conditioning coaches (on the documentation side of the role)
- Coaching staff and assistant coaches
- Heads of performance, and the department's analytics leads
- Academy and youth performance staff
Format
Training format
About 12 hours, usually two days or four half-day sessions, timed around the fixture and training calendar. Exercises run on sanitized versions of your tracking, scouting, and session-plan formats, and no live athlete medical or biometric record ever needs to appear.
- Format
- Onsite or live online
- Duration
- 2 days (about 12 hours, can be split into half-day sessions)
- Group size
- Up to 20 participants per group
- Language
- English or Turkish
- Materials
- Reporting, scouting, video-note, and training-plan documentation templates
- Certificate
- Certificate of completion
Keep exploring
Related programs
Next step
Where does your department lose the most time?
Questions
Frequently asked questions
Which departments sit in the room together?
Performance analysts, video analysts, sports scientists, strength and conditioning coaches, and coaching staff who handle performance data, scouting, video review, and training-plan documentation, planned with you so the cohort matches whoever is in the building.
Does this touch medical diagnosis or return-to-play calls at all?
This program stays on the documentation and analysis side of performance work. Medical diagnosis, treatment, injury management, and return-to-play decisions belong to qualified medical staff and stay explicitly out of scope here.
What about the business side, ticketing, sponsorship, that kind of thing?
None of that: those workflows sit inside Zeo's separate AI training for sports organizations, and this program stays on performance and analytics knowledge work, reporting, scouting, video notes, and training-plan documentation support.
Do you need a stats background to keep up?
No coding or data-science experience is assumed. Being comfortable with your own performance, analysis, or coaching workflow is what matters, and a basic familiarity with a mainstream AI assistant helps but isn't required going in.
How many hours, and can it fit the fixture calendar?
About 12 hours, run across two full days or four half-day sessions. It works onsite or live online, timed around whatever the fixture and training calendar allows.
Can our own scouting templates be the ones we use?
Before delivery, we look at your tracking and stats sources, your scouting and reporting templates, and how video analysis gets done in your building. The exercises then get rebuilt around those. None of it needs live athlete medical or biometric data to work.
What sets the fee?
Group size, delivery format, customization depth, and location, roughly in that order of impact. Share your department structure and what you want the staff doing differently, and we'll build the quote from those specifics.
What's the actual handling of athlete data during the sessions?
No live athlete file is pulled into the room. What staff work on is synthetic or anonymized first. Explicitly approved material can be used too. They practise classifying athlete data before it goes anywhere near a tool and keeping inputs minimal. They stay on approved tools. Every output is reviewed before it reaches a coach or a player, with no exceptions.