Interactive GuideClub managementAthlete monitoringFootball coaching

Centralising Player Data in Football: The Cost of Silos

Centralising player data in football: what data silos cost in staff hours, blind decisions, and lost history, plus how to audit your own club.

Published 11 August 2026

Quick answer

Scattered data is the norm, and it still costs you

Centralising player data means one record per athlete that every authorised staff member reads from, instead of six tools that each hold part of the story.

The short version

Centralising player data in football means every stream (wellness, training load, injuries, test results, session plans) lives in one record per athlete that any authorised staff member can read. In a 2025 survey of 206 football practitioners worldwide, 73% were already running more than one storage system and 76% still did their analysis in spreadsheets (Dello Iacono et al., 2025). The cost lands in staff hours spent moving numbers between systems, decisions made on half the picture, and the history that walks out when a coach leaves. The software licence is the smallest part of it.

If your club's data is spread across a WhatsApp group, a physio's notebook, a GPS vendor portal and two spreadsheets, you're in the majority. That's worth saying plainly, because directors often treat it as a private embarrassment rather than a structural problem with a known fix. This guide is for the person who has to justify the fix. It covers what fragmentation actually costs, how to audit where your data currently sits, and what a system has to do before it earns the word "centralised".

The cost

What does fragmented player data actually cost a club?

Four costs, in rough order of how easy they are to see. The first one shows up on a timesheet. The last three don't show up anywhere, which is why they persist.

73%

run more than one storage system

Of 206 football practitioners surveyed across all six FIFA confederations, most combined cloud storage with local or in-house storage, or with an analytics company's service.

76%

still analyse in spreadsheets

Spreadsheets were the most common tool for aggregating and analysing data, ahead of databases and coding software. A further 62% used them for reporting.

54%

of lower-tier clubs use live data

Against 76–79% at first and second tier and in national teams. The gap tracks resources, not ambition.

Figures from Dello Iacono, A., Datson, N., Clubb, J., Lacome, M., Sullivan, A., & Shushan, T. (2025). Data analytics practices and reporting strategies in senior football: insights into athlete health and performance from over 200 practitioners worldwide. Science and Medicine in Football. This was a convenience sample weighted toward top-tier professional football (53% first tier, 68% Europe), so read it as a description of well-resourced clubs rather than a random sample of the game.

Staff hours. Someone exports the GPS file. Someone retypes the wellness responses. Someone reconciles two versions of the same session because the spreadsheet and the calendar disagree. None of this is coaching, and it recurs every week of the season.

Estimate what the shuffling costs you

Enter your own numbers. Count anyone who touches athlete data: performance staff, physio, analyst, team manager.

Staff who handle dataHours each, per weekWeeks in your season

Staff hours spent moving data each season

360 hours

Roughly 9.6 full working weeks. Multiply by your own loaded staff cost to price it.

This is an estimate built from the three numbers you entered, not a research finding. The starting values are illustrative placeholders, not an industry benchmark. Time an actual week before you take a figure to a board.

Decisions made on half the picture. Training load only means something next to how the athlete is coping with it. When load sits in one system and wellness in another, nobody reads them together, and the ratio you calculate is missing its context. This is the failure mode behind acute:chronic workload ratio numbers that look fine on a spreadsheet while the athlete is telling the physio something different. It applies just as much to internal and external load, which answer different questions and only pay off when you can put them side by side.

The questions nobody asks. This is the cost directors miss most often. If answering "how has this player's sleep tracked against his load since January?" takes forty minutes of spreadsheet work, that question stops being asked. The data exists. The friction quietly removes it from the conversation, and nobody logs a decision that was never considered.

Numbers that disagree. Once the same session is recorded in two places, the two copies drift. Staff start debating which spreadsheet is right instead of what to do about the athlete. You can usually tell this has set in when meetings open with a discussion about the data rather than the player.

The audit

Where is your club's player data actually stored?

Before costing the fix, map the current state. Most directors find between five and eight separate locations, and at least one they didn't know existed.

Work through this with whoever handles the data day to day rather than from memory. Nobody is being caught out here. The person who built the spreadsheet is usually the only one who knows what's in it, and that dependency is itself the problem you're trying to price.

Data stream	Where it usually lives	What it costs you there
Daily wellness	WhatsApp group, paper form, or a survey tool	Nobody aggregates it, so a downward trend is only visible once the athlete breaks down
Session RPE	Spreadsheet on one coach's laptop	Only that coach can read it, and it never gets checked against wellness
GPS and external load	The GPS vendor's own portal	Sits in a separate dashboard and rarely gets compared to internal load
Injuries and body pain	The physio's notes	Medical and performance staff work from different pictures of the same athlete
Physical test results	One file per test day	No trend line per athlete, so each test is an island instead of a progression
Session plans	Calendar, whiteboard, or a photo of one	Load can't be tied back to what was actually planned, so nothing gets learned

Run this audit in one meeting

List every place athlete data is entered, including paper and messaging apps
For each one, name the single person who can retrieve it
Mark any stream that exists in two places, and find out which copy staff actually trust
Note which streams can currently be read on the same timeline as training load
Ask what would happen to each stream if that named person left tomorrow
Time one real week of moving data between systems rather than estimating it

The standard

What does centralising player data actually mean?

One login is not centralisation. A shared drive is not centralisation. Here's the bar a system has to clear.

Centralised player data

One record per athlete, holding every stream on a shared timeline, readable by any staff member whose role allows it, and owned by the club rather than by an individual.

Example: A physio opens an athlete and sees the same load history the S&C coach sees, without asking anyone to send a file.

The distinction that matters is between storing data in one place and being able to read it together. A shared folder with six spreadsheets in it is one location and still six silos, because nothing lines up on a common time axis. If you can't put last Tuesday's session next to that athlete's sleep score and their reported hamstring tightness without exporting anything, the data is co-located rather than centralised.

What a centralised system has to do

Hold one record per athlete that persists across seasons, not one folder per season
Let any two streams be read against each other on the same timeline
Capture data at source, so athletes submit directly instead of a coach transcribing
Control access by role, so the physio and the S&C coach see one record with appropriate permissions
Keep the history when staff change, without depending on anyone's personal file
Let you export your own data without asking the vendor for it

Capture at source is the one most often skipped, and it's the one that decides whether the rest holds. If a coach still has to retype what athletes submitted somewhere else, you haven't removed the fragmentation, you've moved it. Collecting session RPE and daily wellness straight from the athlete's phone is what makes the single record hold together without a person maintaining it by hand. If you're weighing this against your current setup, our guide to the best Excel alternative for athlete monitoring walks through the comparison in more detail.

Continuity

What happens to your data when a coach leaves?

The cost no club budgets for, and the one that lands hardest on smaller clubs.

The baseline walks out with the laptop

When monitoring lives in an individual's spreadsheet, their departure takes the club's baseline with it. Not the files necessarily, but the ability to read them: which tab mattered, why that column was hand-adjusted in March, what "3" meant in the notes field. A new coach inherits four years of numbers they can't interpret, and in practice starts collecting again from zero.

Smaller clubs carry more of this risk, not less. In a survey of 99 European elite clubs, a sport scientist was on staff at 76% of the best-resourced clubs but only 21% of the least-resourced ones (Houtmeyers et al., 2021). Where there's no dedicated specialist, monitoring depends on one motivated person doing it on top of another job. That's a reasonable way to run a season. It's a poor way to hold institutional memory, and it's the actual argument for the club owning the record rather than the individual.

Houtmeyers, K. C., Vanrenterghem, J., Jaspers, A., Ruf, L., Brink, M. S., & Helsen, W. F. (2021). Load monitoring practice in European elite football and the impact of club culture and financial resources. Frontiers in Sports and Active Living, 3, 679824. Staff presence compared across quartiles of club financial resources. A related survey of clubs and national federations found the main barriers to be resourcing, analytics expertise, and the absence of agreed metric definitions (Lolli et al., 2025).

For an academy this compounds. A player's record should follow them from under-14s to the first team, across several coaching changes. If each age group keeps its own files, nobody can answer how a 19-year-old's load tolerance developed over five years, which is exactly the question an academy exists to answer.

In Fractall

How Fractall centralises player data

One athlete record covering load, wellness, injuries, physical tests, and session planning, with no hardware to buy and setup measured in minutes.

From scattered streams to one record

Athletes submit daily wellness and post-session RPE from their phone, so data lands in the club's record without anyone retyping it.

Load, wellness, body pain, injuries, and physical test results sit against one athlete profile on a shared timeline, with ACWR, monotony, and strain calculated for you.

Coaches export a PDF report from that same record, so staff and board review one version instead of three spreadsheets.

Fractall combined dashboard showing training load and wellness for the same athletes on a shared timeline. — The combined view is the point of centralising: load and wellness on one timeline, so the two get read together rather than in separate tools.

External load fits alongside this rather than replacing it. Fractall currently ingests GPS through Catapult file imports, so clubs already running GPS can bring that stream into the same athlete record, while clubs without GPS still get a complete internal load picture from RPE alone. Reporting runs off the unified record too, which is what makes automated performance reports possible without someone assembling them by hand each week. Pricing is a flat rate per team with every module included, listed on our pricing page.

FAQs

Common questions about centralising player data

Short answers to what club directors ask before committing to a change.

What does it cost to centralise player data? Athlete management platforms are usually priced per team or per athlete, and the fair comparison is against the staff hours you already spend moving data, not against zero. Fractall costs €20 per team per month with every module included, and larger organisations are quoted individually. Run the calculator above, then weigh the two numbers against each other.

Do we need GPS to centralise our data? No. Internal load from session RPE, daily wellness, injury records, and physical test results already give you a complete monitoring picture, and they're the streams most clubs already collect in some form. Session RPE multiplied by session duration is a validated internal load measure that needs no hardware at all. GPS adds external load on top when you have it.

How long does moving off spreadsheets take? The software side is quick, since a cloud platform needs no hardware and no IT project. The real work is agreeing which streams you'll collect and getting athletes into the habit of submitting daily. Plan for a pre-season block rather than a mid-season switch, and start with wellness and RPE before adding tests and planning.

What happens to our data if a coach leaves? With a club-owned system, the record stays and the new coach reads the history from day one. With spreadsheets, the files may remain but the knowledge of how to read them usually doesn't. Ask any vendor how you export your full dataset before you sign, so the club keeps control of its own record.

Is centralising player data worth it for a small club? Small clubs usually gain the most, because they have the least slack. Larger clubs absorb fragmentation with staff, employing analysts and sport scientists to move data between systems. A club without those roles needs the system to do that work instead, which is why the case rests on staff hours and continuity rather than on analytical sophistication.

Put every stream in one athlete record

Fractall brings load, wellness, injuries, physical tests, and session planning into one record per athlete. No hardware, setup in minutes, four-week free trial with no credit card.

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