Sam Menzin spent fourteen years with the Detroit Tigers, rising to Vice President and Assistant General Manager. Here he describes what analytics actually settle, what they never will, and where the sport goes next.
For most of baseball’s history, the biggest decisions in the sport were settled in a room where the most confident voice usually won. A scout liked a swing, a manager trusted a gut read, a general manager signed off, and the club lived with the result. That version of the game has not vanished, but it no longer operates alone. Front offices run on measurement now, and the people who do well in them can hold a spreadsheet and a scouting report in the same hand without letting either one bully the other.
I spent fourteen years inside that transition. I played four years of varsity baseball at Swarthmore, read Moneyball as a teenager, and decided fairly quickly that this was the side of the sport I wanted, and joined the Detroit Tigers not long after graduating, eventually working as Vice President and Assistant General Manager. Coverage of the move from the field to the front office often treats a former player running acquisition strategy as a novelty. What interests me more is what the job actually asks of you once you have it.
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What the Numbers Are Genuinely Good At
The strongest case for analytics in baseball has never been that models predict the future. It is that they correct for the ways human memory fails. A scout who watched a hitter on a cold Tuesday in April remembers the cold Tuesday. A model remembers all 400 plate appearances, weights them by context, and does not care which of them happened to be watched in person.
That correction matters most in three places. The first is player valuation, where the question is not whether someone is good but whether he is worth a specific dollar figure across a specific number of years. The second is roster construction, where you have to buy marginal wins at the lowest available price and every position competes with every other for the same budget. The third is health and workload, where the cost of a wrong answer shows up months later on an injured list rather than immediately in a box score.
The clubs I saw use data best were usually doing something less glamorous than forecasting. They were narrowing the range of defensible choices before anyone argued about them. By the time a decision reached the room, the ten plainly bad options were already gone, and the argument that remained was worth having.
What the Numbers Cannot Decide
The limit is easy to state and hard to live with. Data describes what has happened. It does not tell an organization what it is willing to risk, how much patience it has, or what it owes a twenty-two-year-old who is struggling in his first month at a level he has never seen.
I have said some version of this in nearly every conversation I have had about analytics since I left the game: the value of the work rises when someone in the room can translate it. A projection is only useful if a coach believes it enough to change how he runs a drill, and a player will only change a swing if the person asking has credibility with him. Analysts who cannot explain their work in plain language tend to produce reports nobody acts on. Coaches who dismiss the work outright tend to repeat expensive mistakes. The advantage belongs to organizations that close that gap rather than pick a side.
Having played probably shapes how I see this. I was the struggling twenty-two-year-old, and it is hard to read a development plan the same way afterward.
Infrastructure Is a Strategy, Not an Expense
One of the least discussed parts of front office work is how much of it is capital allocation. During my time with the Tigers, I helped direct more than $100 million across training facilities, player development infrastructure, and organizational upgrades. That is not a rounding error attached to the baseball operations budget. It is a bet that a club can turn raw talent into finished players more reliably than its competitors can.
The logic is simple once the numbers are on the table. Acquiring an established player on the open market means paying full price for production that already exists. Developing that same production internally costs a fraction as much, provided the pipeline works. Facilities, technology, coaching staff, and data systems are what determine whether it works. Clubs that treat those as overhead end up buying wins at retail, every year, forever.
Advising the Money Coming Into Sports
The last decade brought a different kind of participant into the industry. Private equity, family offices, and institutional investors now hold stakes across professional sports. They arrive with sophisticated financial instincts and, often, very little sense of how a baseball organization actually functions. Valuing a club means understanding a farm system, a media contract, a stadium lease, and a labor agreement at the same time.
That gap is what I do most of the time now. Through SJM Sports, I advise ownership groups on acquisitions and the operational strategy that follows. The useful contribution is rarely a spreadsheet, since these clients can build those themselves. It is being able to say which line items are load-bearing and which are noise, and to explain why a strong minor league system can be worth more than a marquee signing on a long contract.
Pushing the Same Method Down to Amateur Recruiting
The application I find most interesting is the one furthest from the majors. College recruiting is still largely a relationship business, driven by showcase circuits, camp exposure, and whichever coach happened to be standing behind the backstop on the right afternoon. Families spend real money on that process with almost no way to evaluate what they are buying.
I started Campus Edge Baseball in 2025 to apply structured evaluation to that problem. The premise behind matching recruits with the right programs is that a player’s realistic level, a school’s roster needs, and a family’s academic and financial constraints can all be assessed rather than guessed at. The platform combines athlete profiles, a coach and school database, and a recruiting strategy matrix, effectively importing professional player evaluation into a market that has mostly run on word of mouth.
For most families, the win is not a scholarship figure. It is avoiding the far more common outcome: a player landing at a program where he does not fit and transferring a year later.
Where the Sport Goes From Here
Three pressures will shape front offices over the next several years. Data collection has outrun interpretation, so the advantage now belongs to clubs that ask better questions, not clubs that gather more information. Development timelines keep compressing as amateur players arrive with training histories that would have been unusual a decade ago. And the money entering the sport increasingly expects operational reporting that baseball has never traditionally produced.
None of that reduces the game to arithmetic. Games are still decided by people under pressure, and organizations are still built by people who trust each other. What has changed is the standard of proof. The question in a modern front office is no longer whether someone believes a player will improve. It is what would have to be true for that belief to hold, and whether anyone has bothered to check.
About the Author
Sam Menzin is a sports executive, entrepreneur, and advisor whose career spans professional baseball operations, athlete development, and finance. A native of Westbury, New York, he studied history and psychology at Swarthmore College, where he played four years of varsity baseball and earned the 2012 Centennial Conference Sportsmanship Award. He is currently pursuing an Executive MBA at Baruch College’s Zicklin School of Business.
He spent from 2012 to 2025 with the Detroit Tigers, advancing to Vice President and Assistant General Manager, with earlier stops at Turner-Gary Sports, the New York Mets, and the Complete Game Institute. He founded SJM Sports, an analyst with Woods Capital focused on sports investment and advisory consulting, and Campus Edge Baseball, where he serves as CEO. His focus areas include contract negotiation, salary arbitration, talent pipeline development, and recruiting strategy.