When the Fight Data Sheet Goes Blank: The Real Limits of Combat Sports Analysis

In Nha Trang, at two in the morning, I opened the spreadsheet a colleague had emailed me. The fighter-name column had seven rows. The data column had seven zeros. No opponent, no weight class, no fight date, no gym, not a single note. In the top-left corner sat one label: martial_arts. I stared at it for about ten minutes and closed the laptop.

Across fourteen years on press rows and in press-conference rooms, I learned something no classroom teaches: the analyst's greatest enemy is not bad data, but empty data mistaken for clean data. Bad data can be argued with. Empty data cannot be argued with, because there is nothing to grab onto, and that void is exactly where a writer's imagination fills in stories that sound perfectly reasonable.

It happened to me once. In 2026, in a V-League press room, a senior reporter smirked when I called Hai Phong's 3-5-2 formation suicidal. I did not argue. I went home, rewatched fourteen matches, charted every run of the two wing-backs, and wrote a two-thousand-word rebuttal. Hai Phong finished in the top three that season, and the formation everyone called suicidal turned out to be a counter-attacking variant. The 2026 shock did not kill me; it taught me how to stand back up after every camera switched off.

But there is one situation that lesson cannot handle: when the data is entirely blank. What I was holding was not a bad match. It was a void. And a void is always ready to wear whatever mask someone wants it to wear.

Three worlds squeezed into one label

The martial_arts label is an insult to classification, and I say this as someone who has sat long enough in all three worlds it lumps together.

The first world is professional combat sport: MMA, boxing, kickboxing, Muay Thai, grappling. Everything revolves around winning and losing. You judge a fighter by finish rate, by significant strikes landed per minute, by takedown defence. A first-round knockout carries entirely different weight from a grinding five-round decision.

The second world is sanda, the hybrid discipline that allows punches, kicks and throws. It floats between traditional wushu and professional kickboxing, with its own rulebook and its own scoring. A successful throw in sanda is worth something it is worth nowhere in boxing.

The third world is taolu, the choreographed routine. There is no opponent, no knockout, no rounds. One athlete stands on the floor, judges sit below, and points are awarded for movement difficulty and performance quality. In Vietnam, a taolu athlete like Duong Thuy Vi is read with a completely different eye from a sanda fighter stepping onto the contest floor, even though both compete under the wushu roof.

These three worlds need three different analytical toolkits. Squeezing them into one label and drawing conclusions from that label is a perfect opening move for systematic error. Applying professional-fighting win-loss logic to a taolu routine does not produce loose analysis; it produces analysis that is wrong at the root. And a tidy wrong conclusion is more dangerous than an honestly admitted void.

I do not believe in the tactical map. I believe in the crack in the map. The martial_arts label is exactly such a crack. It shows that classification, the most basic step of any process, was skipped.

The data column: SLpM, SApM and the ten-point system

Assume the file had content. The first thing I would look for is not a name, but three foundational numbers of a professional fight.

SLpM is significant strikes landed per minute, the measure of offensive output. SApM is significant strikes absorbed per minute, the measure of durability. Takedown accuracy and takedown defence determine who controls distance. Place these three side by side and they tell a story the scoreboard cannot.

A fighter with high SLpM and high SApM is a trader of blows. Exciting, but usually short-lived. A fighter with moderate SLpM, low SApM and takedown defence above eighty per cent plays the control game, and is usually the kind who wins belts by grinding an opponent down round after round.

Above those numbers sits the ten-point must system: each round, the winner takes 10, the loser 9 or fewer. It sounds simple. It is also where most of the sport's controversy is born. A round can be scored 10-9 for the fighter controlling the grappling, even when the other fighter landed more. Scoring in combat sport depends on which criterion the promoter puts on top: clear effectiveness, control, or damage dealt.

I have sat beside enough judges to know that two people watching the same round can arrive at two different scorecards, both honestly. That is not the big problem. The big problem comes when an empty dataset is given a generic label and people start talking about form with no number to check against. Form is a word that only means something next to data. Alone, it is a belief.

Condition and career span: the crack nobody measures

Every race has a corner only those unafraid of falling can see. In combat sport, that corner is usually not on the mat. It is on the scale.

Assessing a fighter's condition needs at least three things: age, professional fights, and cumulative head strikes absorbed. Age locates the athlete on the career curve. Fight count stands in for mileage. Head strikes absorbed are an unpaid invoice.

Missing all three, no comparison runs. You cannot say a fighter is declining or peaking, because there is no reference point. You cannot warn about injury risk, because you do not know what the body has absorbed. Of all the variables, weight-cut risk is the least predictable.

Rapid pre-fight weight reduction, usually by dehydration, is common practice in every sport with weight classes. It is also a direct cause of hospital admissions, of collapses at the scale, and in the worst cases, of young deaths. Kidney failure, rhabdomyolysis, acute dehydration: these are words anyone writing about combat sport must know, even when the piece is only about a marquee matchup.

An empty file tells me no fighter, no weight class, no last weigh-in. Which means I cannot screen the single greatest risk in this sport. That is the heaviest loss an empty dataset can cause, heavier than not knowing who will win.

The power map: UFC, ONE, four belts and the Lumpinee floor

Above the fighters sits the organisational machine, and that machine varies so much that one lens cannot serve all of it.

In MMA, the four biggest names are UFC, ONE Championship, Bellator and PFL. In boxing, power is split across four sanctioning bodies: WBA, WBC, IBF and WBO, and that fragmentation is the source of endless arguments about who the real champion is. In kickboxing, there is Glory, there is K-1, there is ONE. In Muay Thai, the Lumpinee and Rajadamnern stadium system in Thailand runs on traditional logic entirely different from international promotions. In grappling, ADCC and IBJJF set two parallel standards.

In Vietnam the picture is even more tangled. Regional games such as the SEA Games host wushu with both taolu and sanda, boxing including women who have reached the Olympic stage, Muay, pencak silat, judo, taekwondo, karate, vovinam. One rulebook and one scoring logic per discipline. A piece that calls all of it martial arts and then analyses it through a single yardstick is worthless before the first sentence ends.

When no organisation is named, no structural question can run. You cannot discuss who controls title-shot allocation. You cannot discuss the logic of interim belts. You cannot discuss a fighter jumping the queue with a money fight. The most valuable structural changes in the sport live in the fighter-organisation relationship, and that relationship needs two names to analyse.

Money: two numbers a generation apart

This is my favourite section, and the one empty datasets destroy fastest.

Fighter revenue share in large MMA organisations typically hovers around the high teens to roughly twenty per cent. At the top of boxing, the biggest names can keep more than fifty per cent. In team sports, the figure is usually around fifty. The gap between those two ends is a gap in bargaining power, and it is far larger than it looks.

Below the top sits a brutal reality. A newcomer may earn a few thousand to a few tens of thousands of dollars a fight, while training, nutrition, medical and travel costs eat nearly all of it. Many hold second jobs. That is why the fighter-pay story never gets old.

The pay-per-view market runs in three tiers. A blockbuster clears a million buys. A solid event sits between three hundred and seven hundred thousand. A weak one falls under two hundred thousand. Telling those tiers apart is the only way to read whether a name is appreciating or being inflated.

With an empty file, I have no revenue figure, no purse, no buy rate. I have only generic industry benchmarks, and generic benchmarks are not allowed to be written as facts about anyone. That is the line between analysis and invention, and I stand on the side of the line.

Transfer window: noise kills signal

The transfer window is open, and I can see a familiar disease repeating across sports.

Fans are drowning in rumour. Ten new names are linked to ten new destinations every day. The real story is not in the names. It is in contract structure, release clauses, wage bills, agent behaviour and timing. A transfer announced today was usually agreed three months ago.

In combat sport the mechanism is similar but less noticed. Contract exclusivity, title clauses, guaranteed fights per year, image rights: those are the numbers that decide a career, not an emotional social-media post.

My position on markets that pump money into buying ageing stars is unchanged. When a league spends to turn stars past their peak into tourism ambassadors, it is not developing that sport. It is buying attention, and attention has a shelf life. The same logic applies to combat sport: a superfight that breaks revenue records does not automatically produce a next generation.

And I have said many times that transfer data models overvalue young potential and undervalue dressing-room chemistry. In combat sport, that chemistry lives in the gym, in the head coach, in the quality of the corner. A fighter who switches camps can take two seasons to find rhythm again. No model measures that, and no model bothers to try.

Rules and the governance vacuum

Every combat discipline is a rulebook, and the rulebook determines how questions are framed.

The Unified Rules of MMA, adopted by most athletic commissions, assume a fight can end by knockout or submission. So does boxing. So does kickboxing. Taolu does not. Taolu has no concept of a finish in that sense. Its score is a composite of difficulty and performance quality, awarded by a judging panel. The two systems cannot be compared directly.

Restating this matters, because when people lump everything under the word martial arts, they quietly apply one value system to another.

In governance, I track four groups: judging, anti-doping compliance, weigh-ins and weight classes, and disciplinary action. Each requires a specific subject: a commission, a sanctioning body, an international federation. No subject, nothing to analyse. Independent anti-doping agencies such as USADA and VADA in MMA and boxing are a real governance story, but it needs names, dates and minutes.

One detail the media skips: the absence of a doping signal does not mean a fighter is clean. A null result is not a certificate. That is a principle anyone doing serious analysis should carve into the desk, in every sport.

Health risk: the dimension that cannot be skipped

Of all analytical dimensions, health is the one where leaving blanks does the most damage, because it concerns real people, not scoreboards.

Brain injury risk is the greatest long-term risk in combat sport. Knockout count, return intervals after brain trauma, weekly sparring load. Without those three, nothing can be said about cumulative-trauma neurodegeneration risk. It is a medical field still under debate, but what is not debatable is that you need a name and a record.

Acute weight-cut risk is the highest-severity and most time-critical risk, because a scale-side emergency unfolds in hours. Post-retirement risk is similar. Many fighters earn inside a three-to-five-year window, with no pension and no union, then extend careers past the sensible age simply because they need money. It is one of the saddest stories in the sport, and it is always absent from fight promotion.

An empty dataset gives me no right to judge anyone. It also gives me no right to say everything is fine. A null result, again, is not a safety certificate.

Narrative and the expectation gap

Sports media runs on stories. A breakout puncher becomes an heir. A long dynasty becomes a legend. A comeback becomes a redemption arc. A farewell becomes a graduation.

I do not object to stories. I object to stories with no data behind them.

My tool here is the expectation gap: comparing what the crowd and the market believe will happen with what the record and form actually show. The wider the gap, the more there is to write. A name priced high on image while its win-loss record was built on weak opposition is a perfect analytical target. In English it is called padding the record.

But that comparison needs two sides. Without market expectation and without an actual record, the comparison does not exist. And when it does not exist, the lazy writer substitutes story for analysis. That is when a sports article becomes an advertisement with a byline.

A home-field coefficient of zero

In 2026, the pandemic turned stadiums silent. I commentated in front of an artificial LED crowd, heard manufactured noise, and noticed teams playing noticeably slower without the pressure of a live audience. Out of that I built the concept of a home-field coefficient of zero for myself.

In combat sport, the crowd variable is even more sensitive. Debates have run for years over whether crowd noise influences judges' scorecards. The honest answer is that nobody has proven it, and nobody has disproven it. But when the arena is empty, that variable drops out of the equation, and that is a rare chance to observe a fight in its raw state.

What I took from that year is not a conclusion but an attitude. When everything goes quiet, revenue still speaks a different language, and an analyst has to learn to hear it. A fight without a crowd still has broadcast fees, still has viewership data, still has asset value. A silent stadium does not mean everything stopped moving.

Transmission: from the gym to the fan's wallet

Combat sport runs on three tiers. Upstream is talent supply: gyms, clubs, youth pipelines. Midstream is organisations and events. Downstream is broadcast, betting, data and consumers.

A shock at any tier propagates down a defined path. A major broadcast deal lifts fighter purses, which pulls more people into gyms. A suspension severs that chain in the middle. A naturalisation policy or a public investment in facilities does the same.

The model only runs when there is a specific shock: an event, a contract, a result, a policy change. No shock, no transmission path. And one thing I repeat in every piece: sports analysis is not betting prediction. I offer no betting opinion, and I do not read odds as advice. I read them only as public data on market expectation, and only with enough context.

The pressure to fabricate, or why empty beats wrong for danger

This is where I want to linger longest, because it is the real lesson of this story.

An analytical system has two kinds of error. The first is being wrong: you have data, you reason, you conclude incorrectly. The second is being empty: you have no data, but you still must submit, and the template forces you to fill every cell.

The second kind is far more dangerous, because it does not confess itself. When you are wrong, someone will argue with you, and the argument fixes the error. When you are empty but still write, you produce a smooth, plausible piece nobody can argue with, because every sentence is true at a generic level and there is nothing concrete to challenge. That is the most dangerous prose in this trade.

The ten-cell framework I just walked through carries a hidden pressure: every empty cell screams to be filled. The weak writer fills it with rhetoric. The good writer learns to say insufficient information and leave the cell empty. Insufficient information is a professional answer, not a confession of inadequacy. It separates the analyst from the storyteller.

Multidiscipline work is not distraction; it is how you catch the same undercurrent. But precisely because I work across disciplines, I know the line between reading one sport through another's lens creatively, and using the wrong lens destructively. Bundling MMA, sanda and taolu into one martial_arts label is using the wrong lens at macro scale. And it happened at the very first step, before anything could be corrected.

I recognise a share of personal responsibility here. For years I was one of the people pushing sports prose toward data: charts, metrics, heatmaps. But I remind myself that data is a lamp, not a fire. It lights the road; it does not create warmth on its own. And when the lamp goes out, people tend to burn their own imagination instead. That is when discipline matters most.

When the press room falls apart, I learned that the truth does not need a microphone; it finds its own way. But the truth also does not find its own way when there is no data. Without data, the thing that finds its way is the version people want to believe.

Closing: the discipline of the empty cell

In this industry, people praise whoever makes the boldest prediction. I would rather praise whoever dares to leave a cell empty.

That seven-row, seven-zero file gave me no article. It gave me a lesson about what analysis is and what decoration is. It also reminded me that combat sport still holds an enormous volume of unstandardised data: no shared scoring benchmark across organisations, no medical transparency for fighters before and after bouts, no safety net for fighters after their careers end. Each of those gaps is an opportunity for the honest practitioner and a trap for the careless one.

If you are reading an analysis in which every cell is filled and nowhere does it say insufficient data, read it again, more slowly. You may be reading a very well-told story rather than an analysis. And in a fighting sport, where one punch can settle a career, the distance between those two things is not small.