Million-Dollar Decisions on an Empty File: Golf's Data Problem

In 2026, at 21, I was handed a task that sounded simple: work out how much 12 K League clubs would lose with no fans in the stadiums. I spent two full weeks just building the revenue table for tickets, advertising and broadcast rights. Not a single line of modelling yet. Just the table.

That experience taught me the hardest part of sports finance is never the model. The hardest part is having something to put into it.

This week I sat down with a deep-dive golf analysis delivered with its full eight-dimension framework intact: technical and data, player form, tournament system, industry governance, rules and equipment, risk surface, public narrative, and industry transmission. The framework was whole. The interior was empty.

No title. No source. No core viewpoint. No list of information points. Not one golfer named. Not one tournament identified. Not one date.

All eight dimensions returned the same line: insufficient information to assess.

For someone who prices assets for a living, that is scarier than any bearish forecast. It does not say we assessed it wrong. It says we never assessed it at all.

Market foundation: golf runs on asymmetric information

Golf has the widest data gap between tour tiers of any sport. The PGA Tour operates ShotLink, which records every shot on every hole, every round, every week. That produced Strokes Gained, the metric that reshaped how golfers are valued over the past fifteen years.

Below that, the picture thins fast. The KLPGA and KPGA publish scorecards and money lists, but largely do not release hole-by-hole shot data. Which means a Korean sponsor wanting to know where a young player is strong and where she is weak has no standard answer. They have a feeling.

Meanwhile the Korean golf market runs on a peculiar asset: club memberships. These are long-dated contracts priced through secondary transactions, and most of those transactions are far less transparent than a listed balance sheet. When a fund wants to acquire a course, it must price an asset whose cash flow depends on rounds played, seasonal green fees, membership turnover and the remaining life of the irrigation system.

Four variables. Each one can be wrong by thirty percent.

Korean sports is used to reading standings. Standings are the easiest thing to read and the easiest thing to be fooled by, because they tell the story of results, not the story of the cost structure behind those results.

Analysis: the price of deciding on an empty file

I have seen this twice in my career.

In 2026, aged 18, I wrote a blog about Incheon United and found that personnel costs consumed 85 percent of revenue, far above the 60 percent sustainability threshold. Three seasons of data. One number. One prediction: the club would have to sell striker Wanderson to balance the budget. The deal closed at 2.8 million USD.

In 2026, during the World Cup in Russia, I collected data on 20 Korean players in Europe: minutes played, Transfermarkt values, expected-goal differentials. After three weeks I found that players in the Austrian and Swiss leagues gained 32 percent in value once they passed 1,500 minutes, against 12 percent in the big leagues. I argued that Son Heung-min, valued at 40 million euros, contributed below expectation in decisive matches. The data backed me, even if few wanted to hear it.

In 2026, the board wanted to sign a striker who had scored four goals at the Qatar World Cup for a 10 million euro fee. I built a five-criteria framework: fee, wages, adaptation to the K League, opportunity cost, payback period. The data said no. Six months later the expensive striker had two goals, while a South American youngster bought for 1.5 million euros was sold to a Thai club for 4 million.

In all three cases, the pivotal point was not the conclusion. It was that I had a data table from which to conclude.

A good model does not predict the future; it exposes what we choose not to see.

The empty golf analysis I received this week is a miniature of a common disease in this industry. Sports organisations rarely fail because they analyse badly. They fail because they run the analysis on a file that was never filled in.

There are three symptoms.

First: mistaking the frame for the content. An eight-dimension template looks very professional. It has tables, matrices, directional arrows. But if every cell reads insufficient information, its value is zero — and worse, it creates the impression that the work is done.

Second: ignoring the opportunity cost of waiting. In golf, a scholarship slot, an equipment sponsorship, a national team place all have deadlines. Not deciding is also a decision; it simply does not get minuted.

Third: letting noise fill the void. When facts are absent, rumours move in. And in golf, transfer rumours, new-league rumours and fund-withdrawal rumours are always available and always attractive enough to fill an empty spreadsheet cell.

The contrarian angle

The sports industry sells itself a belief: more data leads to better decisions. That belief has spawned an entire market of data vendors, analytics platforms, consultants and valuation reports. Everyone wants to add another layer of numbers.

The scarce asset in this industry is not data. The scarce asset is the discipline to say we do not know.

Take world ranking points. The OWGR determines who gets into majors. LIV Golf repeatedly applied for points, and by the end of 2026 the OWGR still refused, partly because the team format and 54-hole events did not fit its methodology. Whatever side you take, this was a decision made publicly against verifiable criteria. You do not have to agree, but you can read the reasoning.

Compare that with how most clubs, academies and sports sponsors make investment decisions: a beautiful deck, a few highlight clips, a few references, and no verifiable data attached.

Cash flow never lies, but the balance sheet knows.

One rule drawn from the empty analysis itself: if there is not at least one verifiable fact behind each core viewpoint, what is being presented is not analysis. It is a sales pitch wearing the costume of analysis.

It takes three months to build a valuation model, and three years to understand where it is wrong.

What to watch

Based on eleven years of following tournament rounds and club financial statements, I expect the Korean golf industry to split along a fairly clear line over the next two years. Organisations with shot data, rounds-played data and membership data will price assets faster and cheaper. The rest will pay a higher rate for the same asset, because whoever puts up the money will charge a premium for what they cannot read.

Two milestones matter. The first is the USGA and R&A ball rollback timetable, published in December 2026 and slated for elite professional competition from 2028; it will reshape equipment makers' revenue structures. The second is membership transaction liquidity around the Seoul metropolitan area, which reflects high-spending consumers' resilience earlier than any survey.

Football is played on grass, but decided in the boardroom. Golf is the same, except the boardroom is often empty.

The takeaway

An empty analysis sheet is not a data failure. It is a reminder that sports executives still sign contracts before finishing the file, and that a pandemic does not create a crisis — it merely sends an invoice that has come due.

If I take one thing from this week, it is this: teach your organisation a reflex that is uncomfortable but cheap — before every decision, ask whether the first fact cell contains a single word yet. If the answer is no, every meeting that follows is just an expensive way to legitimise a hunch.

I started this blog to understand why clubs go bankrupt. Now I write to stop it.