Across the global football ecosystem, millions of aspiring players compete for limited opportunities—yet most fall through the cracks of outdated, resource-intensive scouting systems. At Beach, we’re helping to change that.

Our latest project is a data-driven football analytics platform that bridges the gap between grassroots performance and professional opportunity, using cutting-edge computer vision, natural language interfaces, and structured analytics to unlock visibility and value for players, coaches, and parents.

From Raw Video to Rich Insight

The advent of accessible recording solutions—like Veo, Hudl, and consumer mobile devices—has put powerful tools into the hands of grassroots teams and academies. But capturing video is only the first step. What’s been missing is a scalable system to understand that footage and turn it into actionable insight.

That’s where our platform comes in.

We built a robust processing workflow that ingests 2D football video footage, analyzes it frame-by-frame using deep learning models for:

• Object detection (players, ball, referees),

• Homography (mapping 2D footage to pitch coordinates),

• Event detection (passes, tackles, shots, goals, etc.),

• Positional data generation (per player, per team, over time).

The result is a structured, queryable representation of a football match that we call the MatchGraph—a time-series graph that captures everything that matters: movement, momentum, key moments, and micro-decisions.

Natural Language Meets Football Intelligence

Atop the MatchGraph, we’ve layered a natural language interface that allows users to ask complex questions—without needing to understand data science or match analysis conventions. For example:

• "Show me all successful through balls by midfielders in the second half."

• "Compare pressing intensity between the first and second halves."

• "How did our left back’s positioning change after the substitution?"

This unlocks insights for every stakeholder:

• Players get meaningful feedback to improve and showcase their skills.

• Parents gain visibility into their child’s development.

• Coaches access advanced analytics without needing an analyst on staff.

Creating Opportunity Through Visibility

Our core mission is to expand the football talent pathway. In today's system, talent is often judged by visibility—not potential. Players who aren’t in top-tier academies, or who mature late, or who live outside traditional scouting regions, are frequently overlooked.

By making high-quality analytics available to every level of the game, we enable players to:

• Build credible data profiles,

• Highlight strengths and growth areas,

• Participate in data-driven showcases,

• Position themselves for domestic or international opportunities.

In short, we help ensure that talent doesn’t go unseen.

A Platform With Global Impact

The MatchGraph platform doesn’t just process video—it changes outcomes. As we scale across the UK, USA, and Gulf regions, we’re building a new infrastructure layer for football development that:

• Lowers the barrier to elite analytics,

• Amplifies talent from under-scouted environments,

• Provides tools that inform real decisions across the pathway—from grassroots to pro.

We see this as part of a broader movement: democratizing opportunity through data. And we’re just getting started.