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LLAMA 3.1 70B INSTRUCT

Sevilla Football Club

From hours to seconds

reduced evaluation for an individual player from hours to seconds

Scouting distilled

accelerated identification of players with specific qualitative skills

Tech leadership

positioned Sevilla FC as a global AI leader in the sports industry

New revenue

created consulting opportunities and new revenue streams

^*All results are self-reported and not identifiably repeatable. Generally expected individual results will differ.

CASE STUDY

Making talent scouting faster and easier with Llama

At a glance

Industry

Professional sports

Use case

Prompt enrichment, semantic search and summarization

Goal

Search and summarize unstructured scouting reports quickly and easily

Llama version

Llama 3.1 70B Instruct

Deployment

IBM watsonx running on IBM Cloud

Download full case study

THEIR STORY

Driving excellence from the pitch to the back office

Seven-time Europa League champions Sevilla FC uses data to stay competitive on and off the pitch. The team fields a roster of in-house AI tools, including Scout Advisor, AiFootball, AiFans and AiTicketing, fueling an innovative, data-driven culture that helps keep Sevilla FC at the top of its game.

THEIR GOAL

Transform days of scouting research into quick conversations

Sevilla FC developed intelligent tools for match analysis, player performance and fan marketing. The tools were excellent with quantitative data but struggled with unstructured information like scouting reports. Scouting research and analysis had to be done by hand in a process that took days.The research is worth the effort because expert scouts capture characteristics like tenacity, endurance, and attitude — traits as unique as each player. With a database of more than 300,000 scouting reports, hand analysis was becoming untenable. The team set an ambitious goal: use AI to make searching scouting reports as easy as describing an ideal player in your own words.

THEIR SOLUTION

A smart scouting agent that generates reports on demand

The Sevilla FC Data Department used Llama 3.1 70B Instruct and the IBM watsonx platform to create Scout Advisor, a generative AI application that provides conversational search tools, curated results and player summaries in an intuitive, user-friendly platform.

THEIR APPROACH

Teaching Llama the language of futból — en Español, tambien

Futból (also known as soccer) is filled with idiomatic phrases and insider jargon. Talent scouts add layers of professional lingo and individual idiosyncrasies, creating a lexicon that general-purpose models can’t penetrate.For example, asking the average AI assistant to “show me talented wings” might provide pilot biographies, bird descriptions, or chicken recipes. Ask Scout Advisor to “show me talented wings” and Llama will enrich the prompt with soccer-specific context like “a talented wing takes on defenders with dribbling, creating space and penetrating the opposition.”The enriched prompt feeds a similarity search that pulls relevant scouting report data and injects it — with the embedded prompt — into a Llama-powered engine for answer generation. The result: a list of talented soccer wings with a comprehensive summary of each player’s scouting reports — all in Spanish.

THEIR SUCCESS

Faster player evaluations, new revenue streams

By putting nuanced scouting information at recruiters’ fingertips, Llama-based Scout Advisor has helped reinvent how Sevilla FC tracks, analyzes and evaluates players. In addition to improving performance on the pitch, the Scout Advisor has made Sevilla FC a global leader in sports AI. Their new reputation is attracting players and creating business opportunities with other teams who want to use AI in their operations.

From hours to seconds — Reduced evaluation time for multiple scouting reports on an individual player from hours to seconds
Scouting distilled — Enabled identification of players based on a large dataset of human expert opinions

“Scout Advisor uses Llama 3.1 70B Instruct’s advanced natural language processing to bridge the gap between qualitative human insights and quantitative data analysis. This fusion enhances the efficiency and effectiveness of our scouting operations, ensuring that our recruitment strategies are both data-driven and deeply informed by human expertise.”

Elías Zamora, Chief Data Officer (CDO), Sevilla Fútbol Club

“The task we faced as a data science department was developing an application with semantic understanding that could automatically extract relevant content from the scouting reports. We selected Llama 3.1 70B for its text enrichment and summarization performance, particularly in the Spanish language. Llama aligned perfectly with our project requirements.”

Elías Zamora, Chief Data Officer (CDO), Sevilla Fútbol Club

“Open-source Llama enables us to customize and optimize models without the constraints associated with third-party APIs and to deploy within our secure environment. By eliminating the risk of data leakage, Llama helps ensure that our valuable information remains exclusively within our organization.”

Elías Zamora, Chief Data Officer (CDO), Sevilla Fútbol Club

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Llama powers an intelligent tool that synthesizes player information from more than 300,000 scouting reports.

Sevilla FC’s Scout Advisor uses Llama 3.1 70B Instruct running on IBM watsonx in a retrieval augmented generation (RAG) pipeline.

Tech leadership — Positioned Sevilla FC as a global AI leader in the sports industry

New revenue — Created consulting opportunities and new revenue streams

^*All results are self-reported and not identifiably repeatable. Generally expected individual results will differ.

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LLAMA 3.1 70B INSTRUCT

Sevilla Football Club

From hours to seconds

Scouting distilled

Tech leadership

New revenue

CASE STUDY

Making talent scouting faster and easier with Llama

At a glance

Industry

Use case

Goal

Llama version

Deployment

THEIR STORY

Driving excellence from the pitch to the back office

THEIR GOAL

Transform days of scouting research into quick conversations

THEIR SOLUTION

A smart scouting agent that generates reports on demand

THEIR APPROACH

Teaching Llama the language of futból — en Español, tambien

THEIR SUCCESS

Faster player evaluations, new revenue streams

Start building

Explore more

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