Customer Story

How KRC Genk turn automated tagging into deeper analysis

Automating manual tagging, so the analysis can go where it counts.

5 min read
The Challenge

Getting to the detail, faster

Opponent analysis lives or dies on preparation time, and most of that time gets spent before the real analysis even begins. Building a tagging panel by hand, then tagging match after match against it, is slow, repetitive work. The more of the week it consumes, the fewer matches an analyst can realistically cover, and the longer it takes to reach the patterns a coach actually needs.

At KRC Genk, video analyst Tuur Ickmans wanted the balance tipped the other way: less time spent producing the base layer of tags, more time spent reading what they reveal.

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Key Outcomes

What changed with MyGamePlan

More matches, faster patterns

All tags arrive already generated, with the main phases in place. Instead of tagging a few matches by hand, Tuur can work across ten, and get to the patterns sooner.

Greater depth across the analysis

When a question comes up, he sets a tracker and gets it answered across a full set of matches at once, rather than hunting for clips one game at a time.

Preparation that starts earlier

Analysis reaches the coach further ahead of the fixture, so training can be built around it instead of assembled at the last moment.

The Solution

Automating your base layer

Tuur's approach used to start with his code window: build it, then tag every match against it manually. MyGamePlan removed that first step. He downloads the XML for a match, and the tagging is generated automatically, synced onto the video and structured to the phases he works with.

Because the main phases are delivered up front, he can go straight into detail where something stands out, ask MyGamePlan when a coach flags a specific point, and spend his time showing players the moments that matter rather than preparing the ground to find them.

THE DETAIL

Every phase, already sorted

The clearest example is the goal kick. It used to mean tagging every goal kick by hand before any analysis could start. Now all goalkicks arrive pre-sorted into the phases that Tuur wants: short to long, direct long into the final third, broken down by zone, so he can go straight to the specific situation and read the pattern across it at a glance.

The same holds for build-up: rather than sorting everything by hand to find where a pattern occurs, he sees it in one overview and combines the patterns from there. It is the difference between preparing to look and actually looking.

MyGamePlan player app showing player development metrics and video clips
FROM THE ACADEMY TO THE FIRST TEAM

One system across the club

Genk's development runs on a shared idea of how their players should play, and the trackers are built to match it, set individually by position. The same trackers that run on the first team run on the Jong Genk squad.

That consistency is what makes progression measurable: the club can see, from the same data, whether a young player is meeting the markers that show he is ready to step up.

Amadou Mbengue, Right Back, Queens Park Rangers

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