When Data Is Empty: The Fine Line Between Sports Analysis and Fabrication

In a beautiful December day, a sports journalist sits in front of a computer screen, receiving a data file from an automatic analysis system. The file clearly states: "No title. No source. No player. No club. No event." That journalist — possibly me, thirty years ago — would do what? The answer will determine whether the next article is a genuine analysis or an organized fictional performance.

This is not a far-fetched scenario. In sports journalism, situations where Stage-1 deconstruction returns empty results occur more frequently than we admit. Sources blocked by paywalls, articles too short to exploit, extraction system errors — enough reasons for an analysis to begin with a round zero. And this is precisely when the professional ethics boundary is most severely tested.

Since 2026, when I started sitting in a sports editorial office in Belgrade, I learned a lesson never to forget: a journalist can be wrong, but cannot fabricate. Being wrong means correction; fabrication means losing everything. Over five decades following the transfer market, I have witnessed countless colleagues — mostly men, far more confident than me — try to fill information gaps with guesses framed as facts. They call it "in-depth analysis." I call it branded gambling.

The Nature of Empty Data Extraction

When an automated data extraction system — such as Stage-1 in an analysis pipeline — returns empty results, this can stem from several causes. First, and most commonly, is an upstream technical error: source unreachable, content behind a paywall, or parser failure. Second, the original source is genuinely a short social media post — inherently lacking sufficient content to extract standard information fields. Third, and most concerning, is when the system operator chose not to provide source data yet still requested the next analysis step.

In all three scenarios, the correct response from a principled analyst is: clearly confirm insufficient information and refuse to fill gaps with speculation. This is not helplessness — this is professional discipline.

Three Analytical Dimensions That Cannot Be Performed When Data Is Empty

For a standard sports article, there are at least three analytical pillars, not one of which can stand without basic data.

The first dimension: tactical analysis. To assess a team's tactical sophistication, an analyst needs at least information about the tactical formation, match data (xG, xA, PPDA, possession percentage), and personnel fit within the operating system. When the "Information Points" field returns an empty list, any tactical assessment is pure fiction. There is no opposing system to analyze, no player to evaluate in position, no match to compare data. This is why I always say: "A deal never dies at the negotiation table, it only dies when the phone battery runs out." But if no one calls, no message, no transfer data — then even the phone itself does not exist.

The second dimension: club finance and transfer market. In this field, even one incorrect figure can cause serious consequences. Without knowing which club, which player, which transfer fee or salary structure — any financial analysis is just daydreaming. I once witnessed a male colleague — who had mocked me for "women only know how to count salaries" — publish a financial analysis of a club without financial reports. Three months later, that club announced completely different figures, and he lost credibility in just one night.

The third dimension: league standings and public opinion cycles. Without rankings, recent form, fixture schedule, or identified pressure subjects — no public opinion cycle analysis can be constructed. This is why low-quality sports articles often start with phrases like "according to close sources" — a subtle way to justify having no real source.

Ethics Boundary: Do Not Fabricate, Do Not Leave Blank

The most important principle in this context is: when there is no information, say so clearly. Filling gaps with hypothetical figures — even when presented as "if-then scenarios" — is a violation of analytical transparency principles.

In the transfer market, I often use the "if-then scenario" technique as a valid tool: if club A triggers player B's release clause, what will happen to team C's salary structure. This is a valid method as long as it is based on real data. But when there is no data — no player, no clause, no figure — the "if-then" scenario becomes a serious pretense game.

A principled analyst will publish results with a clear note: "Insufficient information to assess." This is not failure — this is honesty. Smart readers will appreciate that humility more than an article full of assertions built on sand.

Lessons from Decades in the Profession

After more than fifty years in sports journalism — from Olympics to World Cups, from Champions League to the Chinese transfer market — I have drawn one principle that never changes: empty information is empty information, not an opportunity for creation.

Colleagues ask me: "If the system returns empty data, what will you write?" My answer is always: write about that very gap. Explain why the data is empty, list possible causes, point out consequences of missing information — and ask the right question instead of providing the wrong answer.

Because in sports journalism, especially in the transfer market where money moves faster than the ball, honesty about what we do not know is more important than any compelling story built from nothing.

An article without data can still be a good article — if it is honest about its boundaries. An article full of data but built on fabrication is a disaster, no matter how many impressive figures it contains. That is the lesson I have taught to many generations of young journalists, and that lesson will never grow old.