Santos Laguna Brings AI into Scouting: Gonzalo Pineda Picks the Algorithm as Gatekeeper, Not Judge

What made me stop at RÉCORD's exclusive report on Santos Laguna was not the phrase "artificial intelligence." It was the spokesman.

At most Liga MX clubs, a new scouting project is announced by a sporting director or a club president. This time, Gonzalo Pineda — the head coach — was the one explaining the mechanism. He talked about Analytics, about AI, about a system that filters players before a scout ever sets foot in a stadium.

Inside Pineda's description there is a detail most readers skim past. He did not call the tool a replacement for the trained eye. He called it a filter. The final decision still belongs to the person in the stands with a notebook in hand.

That ordering matters more than the technology itself. A club that puts the algorithm first and the human second is telling us something very specific about how it allocates money, time and internal authority.

Context: Torreón, where Mexican football rarely looks

Santos Laguna was founded in 2026 and plays in Torreón, Coahuila, a dry, hot region in northern Mexico, far from the media corridors of Mexico City and Guadalajara. Their home ground sits inside the Territorio Santos Modelo complex. The trophy room holds six Liga MX titles, the most recent in Clausura 2026 — eight years ago.

That geographic distance is not just a matter of cartography. It decides which players will accept a move to Torreón, which scouts will stay, and which talents are quietly missed simply because nobody was in the right place at the right time.

The structure of Mexican football makes scouting even more urgent. The short Apertura and Clausura tournaments force clubs to refresh squads every six months. Minutes quotas for young players have existed in various forms, and each tightening increases pressure to push U-20 players into the first team. A club without a strong academy must buy what it cannot grow.

Against that backdrop, the Fuerzas Básicas academy is no longer a matter of prestige. It is survival infrastructure.

The mechanism: filter first, watch later

According to what Pineda told RÉCORD, the project has three clear layers.

The first layer is the Analytics and AI toolset, which scans data to produce a shortlist. The second is the live scouting network, where Pineda named two people directly: Omar Tapia and Andrés Bejarano. The third is the first-team coaching staff, which is monitoring U-19 and U-21 players who are close to the senior squad.

The core point is that this project does not change how Santos Laguna play; it changes how they find people to play. It is a process reform away from the pitch, not a new tactical shape.

That sounds obvious. In Liga MX, though, the sequence of "data filters first, human eyes second" is still unusual. Most clubs in the region work the other way around: scouts watch, take notes, file reports, and then someone decides. Data arrives late, usually to justify a decision already made.

Reversing the order has a very concrete technical consequence. When the filter runs first, the number of matches a scout must attend drops, which means the same travel budget can cover more competitions. That is cost-efficiency logic, not technology logic.

Another detail stands out. Pineda said the system covers both the first team and the academy, and that the first-team recruitment area will also receive technical support. The club is not splitting scouting into two separate departments.

The United States network and the pricing problem

The expansion of the network into Mexico and the United States is the part of the report I care about most.

The pool of Mexican-American players and MLS academy prospects is one of the most undervalued markets in North American football. An 18-year-old born in California, holding dual nationality, playing for an MLS academy, is often off the radar of Liga MX clubs — because nobody has tracked him since he was fourteen. Yet exactly those players carry low transfer fees and a short cultural adaptation period.

Based on my experience following matches and transfer windows, this is the terrain where clubs with modest budgets consistently find asymmetric advantage. A club that cannot compete with Monterrey or América in the expensive South American market can win where nobody bothers to go.

I have told the story of Ousmane Diallo, a Senegalese winger who joined a Chinese second-tier club in 2026 for 200,000 yuan, scored 14 goals and made 11 assists in 26 matches, and was the subject of a 1.5 million euro enquiry from a Belgian club just months later. The lesson was not about buying cheap and selling high. It was that the club only found Diallo because someone was physically standing in Dakar.

Stars are not born on pitches; they are raised in places the industry has forgotten. An algorithm can only find what already exists inside the data. It does not generate data where nobody has measured.

This is where I want to be blunt about how to read the RÉCORD report. The report names no data vendor, no budget, no scouting headcount, no implementation timeline, and no expected performance metric. We are assessing an architecture, not a result.

Pineda uses continuous tenses. He says the club wants to "explore" the tool and is "developing" the system. At 54, after 38 years in this trade, I have learned that the tense of verbs in a press conference is often more honest than any league table.

The counter-intuitive angle: a filter can filter out the wrong people

Most readers will treat this report as a sign of progress. I see a different risk, and it sits inside the project's very strength.

If AI filters first, then what it filters is the quality of the input data. In Mexico, data coverage for young players is uneven. The big academies in Mexico City, Guadalajara and Monterrey are well documented. Youth leagues in Oaxaca, Chiapas and Zacatecas are not. A filter running on uneven data will inadvertently reproduce the very inequality it was meant to erase: it favours those who have already been seen and discards those never recorded.

That is precisely why Pineda keeping scouts as the final arbiter matters so much. If the filter becomes the only door, Santos Laguna will never find the next Diallo.

The second risk is organisational. Pineda is the public face of the project. Omar Tapia and Andrés Bejarano are named as network builders, but the person explaining the project to the media is the head coach. If results decline, the scouting project will be the first thing thrown under the bus. Or, conversely, it will be used as a shield for a bad run. Neither outcome is good for the system's durability.

The third risk is the one no algorithm solves: minutes. Santos Laguna already has U-19 and U-21 players under close first-team observation. Pineda says plainly that the club has good talent right now. But monitoring and granting opportunity are different acts. In a league where coaches are judged every six months, trusting a 19-year-old is always a more expensive political decision than buying a proven 29-year-old.

In football, people forget the score, but never the look in someone's eyes after a conceded goal. And a head coach never forgets that the look will be directed at him.

What to watch

People call it a rough diamond; I call it an unfinished promise. For Santos Laguna, that promise does not live inside an algorithm. It lives in the fixture calendar.

The real test arrives at the end of the next two tournaments, and it is measured by a single indicator: the number of official minutes played by U-19 and U-21 players who came out of the new system's shortlist. If that number rises, the project is real. If the shortlist keeps leading to signings over 28, then what has been built in Torreón is a handsome data room, not an academy willing to open a door.

A pitch can fall silent, but a city's heartbeat still keeps time with the ball. The question for Santos Laguna is simple: when the notebook in the scout's hand and the screen in the data room disagree, who walks out onto the grass to find out?