Reading Table Tennis Through Data: When the Scoreboard Does Not Tell the Whole Story

There are three shots that spectators packing an arena almost never remember by name. The serve. The receive. The third-ball attack. The professionals call them the "first three shots," and in modern table tennis that is where most points are decided before the crowd even understands what happened. A game ending 11-8 looks like a long stretch of tension, but if you break it into individual points, you realise most of the gap was created in the first two contacts, and everything afterwards is consequence rather than cause.

I remember sitting down after a viewing session, writing every point by hand into a spreadsheet. On the left column, the score. On the right, the question I wanted answered: what won this point. When I finished counting, something strange surfaced. Two players can produce two very different-looking matches, yet their point distributions almost overlap: most winning points come from serve aces, attacking receives, and the small share of long rallies that the crowd remembers best. A spectator's memory and a point distribution are two different objects. In table tennis, the gap between them is exactly where data starts having work to do.

This is why I want to retell table tennis differently: not from feeling, but from what can be measured. Not because numbers are interesting in themselves. But because numbers, placed correctly, force people to revisit the things they thought they already understood.

Table tennis is the sport most misunderstood by the very people who watch it most, because it happens too fast for the eye to classify. A ball crosses the table in roughly a quarter of a second. At that speed, the eye only registers outcomes, not processes. The viewer sees the ball touch the table and bounce out. The viewer does not see that the server's wrist rotated fifteen extra degrees, that the racket face contacted slightly later than on the previous ball, that the placement shifted about three centimetres left. All of that is the cause. The outcome is merely the last thing the eye catches.

That is why table tennis badly needs a storyteller who works from data. Because if nobody records the process, people are left with only outcomes, and nothing can be learned from outcomes.

I began my recording career in an unglamorous place: a homemade spreadsheet, an old computer, and a great many evenings rewatching video. The amateur spreadsheet taught me that data does not need to be glamorous, only correct. A column recorded under the wrong definition is worse than no column at all, because it manufactures the illusion of understanding. A column recorded correctly, even if it only covers ten handwritten matches, can overturn an entire judgement.

In this piece I want to walk through table tennis across nine layers, the way I walk through any sport I analyse. The technical and tactical layer. The player-data and head-to-head layer. The event-system and points-rule layer. The China-versus-the-world competitive layer. The rules and governance layer. The coaching and talent-pipeline layer. The risk layer. The narrative and expectation layer. And finally the transmission layer of an entire industry.

I will not go in the order one, two, three. I will follow the rhythm of table tennis itself: fast, compact, and sometimes deliberately off-line.

Technique and tactics: where the difference lives in a few degrees of wrist rotation

Modern attacking table tennis revolves around one concept: the loop drive. The loop splits into two types. The fast loop prioritises speed and is used to finish the point. The heavy loop prioritises spin and is used to apply pressure and force the opponent to lift the ball, opening the next shot. A good player does not choose between the two. They switch between them inside a single rally, depending on their position and their opponent's state.

At the elite level, the difference between a top-50 player and a top-10 player is not who loops harder. It is who chooses the right moment to loop heavy and the right moment to loop fast. Hand speed has reached biological limits. What can still improve is decision-making. And decision-making, unlike hand speed, is measurable.

I once sat and classified every loop from two players in one match, logging loop type, standing position at execution, and outcome. What I found was not in the volume. Both hit roughly the same number of loops. The difference was in the distribution. The winning player tended to loop heavy more in the early points of a game, conditioning the opponent to a slower rhythm, then sharply raising the fast-loop share in the middle of the game, when the opponent's legs had tired and their reactions had slowed. That is a tempo strategy encoded in the distribution of loop types over game time.

This system sounds complicated, but it needs only a classification column and a time axis. No expensive equipment. Just a recorder who knows what they are recording.

Beyond the loop-and-fast-attack system, modern table tennis has an entirely different branch: pips play. Pips rubber has a raised surface that produces flat trajectories and broken rhythm. A ball passing over pips does not spin the way one expects. It loses spin. And that very loss of spin becomes a weapon, because it breaks the reflex habits of players trained to read spin.

For years pips play was seen as defensive, the game of those who lacked the power to attack. That view is outdated. At the elite level today, pips are no longer a refuge. Pips are a tactical tool for changing the tempo of a match. A pure attacker can lose an entire game simply by failing to recalibrate their feel for spin. And that adjustment window, if measured, usually falls within three to four points. Three to four points in an eleven-point game is more than enough to lose.

There is one datum few people record: the number of consecutive points a player loses after the opponent changes rubber type or serve pattern. A losing streak is a psychological indicator packaged as a technical one. It reveals adaptation speed. And adaptation speed, in a sport where everything happens in a quarter-second, is the most important skill the scoreboard never shows.

The first three shots also deserve serious attention. Serve, receive, and third-ball attack form a closed chain. The server is not merely hunting for direct aces. The server is setting up a situation for the third ball. A short, backspin serve placed into the middle of the table may not win the point, but it forces the opponent to push long or to flick, and both options are predictable. A good player serves to control the third ball, not to win on the first.

The backhand flick is the modern answer to short serves. Instead of pushing safely, the attacker strikes the second ball immediately with the wrist, turning defence into attack in an instant. As the flick became widespread, the value of short serves fell, and players had to develop the half-long serve, landing in the grey zone between short and long, where the opponent hesitates over whether to step in or back off. That hesitation, measured in reaction time, is the point.

Player data: the ranking is not a verdict

One of the things I learned after years of following table tennis is that the world ranking does not measure true strength. It measures something else: the points a player accumulates within a sliding window. The WTT points system runs on a rolling 52-week mechanism. Old points expire. New points replace them. A player who sits out through injury loses points not because they got worse, but because time passed. A player who enters many small events accumulates more points than a player who enters only a few big ones, even if the second player beats the first head-to-head.

This is the biggest blind spot among table tennis fans. They see the ranking and assume it is the strength. Strength and ranking are two curves that can diverge, and the divergence is measurable by comparing head-to-head results against the ranking gap.

I call that index points-defence pressure. When old points are about to expire, a player is forced onto court at events they may not need, purely to replace points about to vanish. Sometimes they show up unprepared, lose early, lose more points, and fall into a spiral. Points-defence pressure does not live in the points column. It lives in the schedule and in the injury history. And both of those are recordable, if anyone bothers.

Head-to-head is a fascinating dataset because it has many layers. An overall head-to-head might say Player A beat Player B in seven of ten matches. But split by the last two years, by the three majors, and by court surface, the story can invert completely. Some players only win in group-stage matches but lose in deciders. This is what I call the nemesis by context. Not one player dominating another everywhere, but one player dominating another in a particular kind of match, at a particular stage, under a particular pressure.

To assess properly, you need four columns: overall head-to-head, last-two-years head-to-head, three-majors head-to-head, and decider head-to-head. Placed side by side, these four columns usually tell four different stories. And the most interesting one, to me, is always the fourth.

The foreign-match win rate is another index that needs redefining. In table tennis, facing an opponent from a different association is the core measure of a national team's strength. But counting wins and losses alone ignores the context of each match. Beating a world number 200 is not the same as beating a world number 5. So the win rate must be weighted by opponent ranking. A player who beats ten weak opponents and loses three to strong ones is not the same as a player who beats seven strong opponents and loses two to weak ones. The total can be identical. The meaning is the opposite.

Consistency at the majors is the index I value most when assessing a player. Why? Because it cannot be faked. A player can accumulate points by entering many small events. But at the three majors — the Olympics, the World Championships, and the World Cup — the density of strong opponents is higher, the pressure is greater, and the number of rounds is longer. Going deep at the three majors three times in a row is far harder than winning three small events. And this index, tracked across years, usually predicts who will shine at the next major better than the ranking does.

Decider, or clutch, performance is the last index and the most overlooked. The win rate in a seventh game, a fifth game, or a third game under short-format rules is a computable number. It is not perfect, because the sample is small. But when a player wins six of eight deciders over two years, that cannot be chance. That is a skill. And in table tennis, that skill usually sits not in the arm but in the head.

Coaching structure and the development pipeline: where Chinese table tennis differs

People often say China is strong because it has many talents. That explanation is easy but wrong. Many countries have talent. China's difference lies in the system, not the individuals.

Chinese table tennis runs on a model I call generational-skip development. As one generation approaches its peak, the system has already pushed the next generation into international competition, without waiting for the old generation to retire. They do not build one star. They build three stars at once, across three age bands, so that if one is injured, two remain strong enough to hold the top.

This produces an interesting internal consequence: internal competitive pressure is often fiercer than international competitive pressure. A Chinese player may face their toughest opponent in a training session. This mode of competition does not create comfort. It creates an environment where nobody can fall asleep. And that is why, when assessing China's table tennis strength, I do not look at the champions list. I look at how many Chinese players reach the quarter-finals of a major. That number reveals the depth of the system, and depth is what endures.

The coaching bench matters no less. A national team head coach in table tennis does not merely manage technique. They manage an ecosystem: allocating competition slots, planning physical loading, reading international opponents, and most importantly, managing the egos of players accustomed to winning. Managing winning is harder than managing losing. A losing team focuses. A winning team disperses.

Personal-coach fit is another under-discussed factor. A coach who is excellent for an attacker may not suit a pips defender. This is why some players perform well domestically but decline internationally, or the reverse. They change coach, change philosophy, and need an adjustment period. That period, measured by results, usually runs six to ten months.

Turning to Vietnamese table tennis, the scale is entirely different, but some structural parallels hold. The biggest problem for Vietnamese table tennis is not talent. It is the endpoint. A young player can be well trained domestically, but to rise to world level they need to compete against opponents stronger than themselves, regularly, and against many different ball styles. That requires a continuous international calendar and the budget to match. Neither can be substituted with spirit.

I say this not to be pessimistic. I say it because the data says so. The age structure at national-team level usually reflects the performance of the youth system roughly seven to ten years earlier. If a country has an age gap in its national team, the cause of that gap lies in the past, not the present. This is one reason table tennis analysis needs a long horizon rather than just this season's results.

Event systems and points rules: a pressure-generating machine

WTT restructured international competition within just a few years, and its impact on table tennis is one of the topics I track most closely.

The rolling 52-week mechanism means every point has an expiry date. No point is permanent. A player who wins the world championship this year can lose almost all of those points on the anniversary of that event next year if they fail to defend. This creates a continuous pressure many fans never see, because the ranking shows only the total, not the portion about to expire.

Interestingly, this mechanism cuts both ways. The upside: it prevents a player from living forever on old results, letting new generations rise faster. The downside: it encourages over-competing, raising injury risk, and sometimes forcing players onto court before they have recovered.

When assessing a tournament, I always tier it. The three majors sit on top. Then the WTT flagship events. Then regional events. Then national events. The tier determines the value of each point. A national title can bring great emotion but low international ranking value. A semi-final at a flagship event can bring less emotion but higher ranking value. Understanding this tiering is the first condition for reading a ranking honestly.

A tournament's position within the Olympic cycle is another analytical layer. An event in the first year of a cycle means something different from one in the year before an Olympics. In the pre-Olympic year, teams tend to intensify competition to test line-ups and accumulate qualification points. In the first year of a cycle, they tend to experiment more and accept lower results. The same event, the same opponent, but both sides may approach it completely differently. So when comparing results across two years, I always check where each year sits in the cycle.

The draw is also data, not just luck. A draw is called hard when it concentrates many strong opponents in the same half. Draw difficulty can be computed as the sum of opponents' rankings, or as the number of top-10 opponents a player must face on the way to the final. When a player wins with a low-difficulty draw, that is not their fault. But it is information worth recording, because it explains why some titles look easier than others. Separating same-association players into different halves is also a notable rule, since it directly affects whether two players from the same country can meet in the final.

The competitive landscape: China and the rest of the world

World table tennis has a clearer tier structure than most sports. The dominant tier. The second tier. The emerging forces. And the rest.

The dominant tier is China. The second tier is Japan, Germany, and South Korea, alongside a few individual players from smaller associations whose level is enough to disrupt. The emerging tier consists of associations investing in youth development and beginning to appear regularly in the main draws of flagship events. The rest are places with scattered talent but no system.

Notably, the gap between the dominant tier and the second tier is not a straight line. It is a band. A second-tier player can beat a dominant-tier player in a specific match. But to beat the dominant tier across a tournament, one must beat three or four players at that level within a single week. That is why upsets happen at match level but rarely at tournament level.

The greatest threat to the dominant tier does not come from one specific player. It comes from accumulation. As more associations upgrade their youth systems, the number of threatening players rises. And as the number of threatening players rises, so does the probability that one of them beats the dominant tier at a given tournament. This is a probability problem, not a problem about one exceptional individual.

There is one index I always track: the number of top-10 seats held by the dominant tier. When this number declines over the years, it signals the second tier is closing the gap. When it holds or rises, it signals the dominant tier's system is still outperforming the rest. This number matters more than any single match win, because it reflects depth, and depth decides tournament-level results.

Another index is youth depth, usually measured by the number of under-21 players reaching the main draw of flagship events. This is a predictive index. If an association has multiple young players reaching main draws for three consecutive years, that association is building a next generation. If that number is zero for several years, the association is living on its current generation and will face a crisis when that generation passes its peak.

For Vietnamese table tennis, the question is not how to beat the dominant tier. The question is how to stabilise a player in the world top 100, then the top 50, and hold that position across years. Because the top 100 is the entry condition for flagship events, and entering flagship events is the condition for development. This is a causal loop. Breaking it requires investment, not merely one talented player.

Rules and governance: the least-discussed layer

Rules in table tennis are not only the referee's business. They are about power and opportunity.

Table tennis has undergone many rule changes over decades, and each created winners and losers. The change of ball size from 38mm to 40mm, for instance, made the ball harder to spin and favoured speed. Defensive players who relied on spin and pips were affected. Two-winged attackers were affected less. The change of scoring from 21 points per game to 11 raised the value of each point and increased variance. In a 21-point game, a player could start slowly and still win. In an 11-point game, a slow start can decide the game.

Each such rule change is an experiment with an uncontrolled variable. Rules change, and the full consequences only appear years later. This means table tennis analysis must clearly separate results driven by skill from results driven by the rules environment. Without that separation, it is easy to mistake a generation born into a favourable rules environment for a generation of exceptional talent.

Governance at national-association level also plays a large role. Selection criteria, allocation of international competition slots, and funding support are all governance decisions measurable by results. When selection criteria are clearly quantified, controversy is rare. When they rest on subjective calls, controversy is frequent, and controversy burns resources. This is a very stable rule, not unique to table tennis.

There is one topic I always handle with care: allegations involving match-arranging. It is sensitive because it touches the honour of individuals and organisations. My approach is to record only sourced information, tier it by source reliability, and draw no conclusion where evidence is absent. Not because I want to dodge, but because writing about an allegation without foundation is an irreversible act of harm. In table tennis, as in any sport, seriousness about source-tiering is the condition for lasting work.

Risk: the things outside the scoreboard

Risk in table tennis divides into several groups, each with its own tracking method.

Competitive risk is the risk of being countered by a specific opponent type. An attacker may struggle against pips defence. A pips player may struggle against a patient attacker who keeps the ball deep. This risk is measured by win rate by opponent group. When a player's win rate drops sharply within a specific group, that is a tactical signal, not a psychological one.

Injury risk is the largest and hardest to predict. Table tennis involves an extremely high density of wrist, shoulder, and knee motion. At elite level, a player can perform thousands of wrist rotations in a single competition week. Shoulder and wrist injuries usually accumulate over time rather than strike suddenly. That is why monitoring workload, and especially monitoring rest days between events, matters no less than monitoring results.

Over-competition risk is a direct consequence of the rolling points system. When old points are about to expire, and many need defending across consecutive events, players tend to compete more than ideal. This is a systemic risk, not an individual one. Mitigating it requires change at the governance layer, not only the athlete layer.

Generational-transition risk is long-term. When a core generation passes its peak and the next is not yet ripe, a performance gap opens. That gap cannot be filled by naming young talents. It can only be filled by international match time, and that time must begin before the gap appears.

And there is one risk I want to stress separately: the risk of data loss. In any analysis system, the danger is not too much data. The danger is losing data without knowing you lost it. When an analysis returns an empty result, and the reader takes that empty result as evidence there is nothing to care about, the analysis has betrayed its own purpose. An empty result is not the same as a safe result. It is an undetected failure.

I once said the Da Nang data warehouse taught me that patience is the easiest algorithm to write and the hardest to run. The hardest part of building a system is not writing the formula. It is ensuring the input data is always real, always correctly recorded, and always checked before use. A perfect formula running on empty data will still return a very plausible-looking result. And a plausible-looking wrong result is more dangerous than an empty one.

Media and expectation: when the story runs faster than the match

Table tennis has a curious media trait. Because each point happens so fast, media tends to focus on the moment, not the process. A beautiful rally becomes a viral clip. An unexpected defeat becomes a debate topic. But the sequence of shots leading to that moment is almost never retold.

This produces a type of media story I call the moment story. It has great appeal but a short lifespan. A player can become a phenomenon after one big win, then vanish from discussion two weeks later. Conversely, a player who competes consistently for years but produces few viral moments is often undervalued by the media relative to their true worth.

The gap between market expectation and objective assessment is one of the most interesting datasets to track. When expectation far exceeds the factual base, there are usually two scenarios. Scenario one: the player loses early, expectation collapses, and a wave of criticism follows. Scenario two: the player wins unconvincingly, expectation keeps rising, and pressure for the next time grows even larger. Both scenarios are bad for the player.

I usually measure the heat of a media story by comparing the number of articles about a player with their actual results in the same period. When that ratio skews too far, it signals an expectation bubble. An expectation bubble does not necessarily lead to collapse. But it always leads to volatility, and volatility is measurable.

There is one thing I always remind myself when writing about any player: fans remember player names, I remember contract expiry dates. In table tennis, that translates to: fans remember wins, I remember when the points expire. Two ways of remembering lead to two ways of storytelling. And I choose the second, not because it is better, but because it is verifiable.

The table tennis industry and its transmission chain

Table tennis is a sport with a clear value chain, and it transmits from upstream down.

Upstream is equipment and youth development. Rubber, blade, and ball are the three core components. A small change in sponge hardness or blade construction can shift the way a whole generation plays. When a new rubber type appears and top players adopt it, it spreads to lower levels within months. The star effect in table tennis is stronger than many assume, because amateurs tend to buy gear matching the players they admire.

Midstream is the event system, associations, and clubs. This is where value is created and distributed. Broadcast rights, tournament sponsorship, and prize money flow through this layer. Table tennis's shift from the traditional system to the WTT system is an attempt to raise the commercial value of the midstream, turning each event into a more clearly structured broadcast product.

Downstream is broadcasting, commerce, and derivative markets. This is where table tennis value becomes economic value. The biggest question here is whether table tennis can hold a television audience longer than one ball. And the answer, in part, lies in storytelling capability. A sport can be fast, but if viewers do not understand why a point was won, they will not stay long.

I believe this is where table tennis can learn from other sports. Football tells stories with numbers, if only the listener knows how to ask questions. Table tennis is the same. A winning serve can be exciting, but a serve sequence designed to open a third-ball attack at a deciding point is far more exciting, if people understand it. And for people to understand it, someone must record it.

The contrarian angle: correlation is not causation

This is the part I want to spend the most time on, because it is where much table tennis analysis goes wrong.

In table tennis, there are many correlations that look very convincing. A player has a high win rate when their heavy-loop rate is high. A national team performs well when the number of young players reaching main draws rises. A tournament draws a large audience when many top players enter. All these correlations are real. But real does not mean causal.

First example: high heavy-loop rate and high win rate. This sounds logical. Heavy loops are harder to return, so more wins. But another explanation is equally plausible: a player only loops heavy when they are in an advantageous position, and they are in that position because they played the preceding shots well. In this case, the heavy loop is a consequence of winning, not a cause. If a coach reads that number and instructs the player to loop heavy more, they may be harming the player.

Second example: more young players reaching main draws and better team results. This sounds like a clear causal relation. The team invests in youth, youth improve, the team gets stronger. But another explanation: the team got stronger because a talented generation appeared at once, and precisely because the team got stronger, its young players were entered into more international events, leading them to reach more main draws. In this case, team performance is the cause and the number of young players is the effect. The two explanations lead to entirely different policies.

This is why I always say table tennis analysis must clearly separate predictive indices from descriptive indices. A descriptive index tells you what happened. A predictive index tells you what may happen. An index can describe very well yet predict very poorly. And vice versa. Confusing the two types is the source of most errors in sports analysis.

Third example, and perhaps the most important: the relationship between ranking and strength. People often assume a high ranking means high strength. But ranking, as I said, is a function of accumulated points within a sliding window. It depends on the schedule, on defending points, on whether one competes at all, and on whether one meets strong opponents early. Ranking can correlate with strength, but it is not strength. And in some phases of a player's career, it correlates very weakly.

I do not believe in fate, I believe in correlation coefficients. But I also know a high correlation coefficient does not prove causation. It only shows two things move together. Determining which is cause, which is effect, and which merely shares a third variable requires more testing, more time, and more data. This is why I always write in the conditional mood. Not from indecision. But because the data is not yet enough to close the door.

People often want me to give a decisive conclusion. Who will win. Who will fail. Who should be dropped. I understand why. Decisive conclusions are easy to read. But a person who has learned from his own mistakes cannot write sentences that slam doors shut, because new data can overturn any judgement. A spreadsheet that is incomplete today can be complete next month. And when it is complete, the old judgement must be revisited, frankly, like an algorithm learning from error.

Vietnamese table tennis: rereading it through numbers

I live in Da Nang, and I grew up in a place where table tennis holds a special place in school culture and the amateur movement. In children's centres, schools, and local clubs, table tennis is one of the most accessible sports. One table, two rackets, and a ball are enough to start. That creates a broad participation base, and a broad base is a necessary condition for any talent development system.

But a broad base is not enough to produce elite players. A middle pathway is needed, where young players are moved from recreational level to international competitive level. That pathway requires three things: a regular international calendar, specialised coaching, and sports science. Miss any one, and the gap shows the moment the player steps onto an international court.

The most important data Vietnamese table tennis needs to track is not international results. It is the age structure. If the national team has a block of players concentrated at the same age, a gap will open in a few years. If there is a block at the next age already preparing to step up, that gap can be filled. Age structure is a better predictive index than any win in Southeast Asia, because it says what will happen over the next seven years.

The second dataset is international output. The number of players reaching main draws at international events, the number of wins at that level, and the number of wins against opponents from stronger associations. Tracked over years, these three numbers tell you whether the system is improving. These numbers are not glamorous. But they are correct.

The third dataset, perhaps the most important for a developing table tennis nation, is the number of hours of elite-level match play among young players. A player well trained domestically but who has never faced a world-class opponent will not know what they are missing. Elite match hours, not training hours, is the index reflecting competitive maturity. Every player is a set of notes; only those who bother to read will find the last line.

A team's style does not live in the formation but in the average receiving position of each role. In table tennis, that translates to: a player's style does not live in the racket they use, but in the position they stand in to execute the third-ball loop. That average position, measured across many matches, reveals a player's true strategy more than any statement they make.

What to watch in the coming period

When I look ahead at table tennis, I am not looking for a champion. I am looking for signals.

Signal one is the point distribution of top players in recent matches. If the share of points won from the first three shots rises, the sport is shifting toward serve and receive. If the share won from extended rallies rises, players are trying to drag matches into the physical zone. These two directions need two different types of player to optimise.

Signal two is the number of rest days between events for top players. If that number falls, injuries will rise after a lag of a few months. This is a predictive signal anyone can track, simply by logging the calendar.

Signal three is the number of under-21 players reaching main draws at flagship events. If that number rises steadily over two or three years, a generational transition is under way. If it is zero for two years, a generational gap is being created, and it will surface in about seven years.

Signal four is the win rate of second-tier players against dominant-tier players, by opponent group. If that rate rises within a specific group, a tactical hole is opening. And a tactical hole, in table tennis, is usually the earliest sign of a major shift.

Signal five, and the signal I care about most as a data person, is the quality of public data. If associations begin publishing detailed point-by-point indices, table tennis analysis will move to a new level. If data remains at match-result level, analysts will still have to record by hand, and the pace of progress across the sport will remain limited by each individual's recording speed.

I started from an amateur spreadsheet, and I still work by the same philosophy. Data does not need to be glamorous, only correct. One correctly recorded column is worth more than ten recorded to look good. And in table tennis, where everything happens in a quarter-second, one correctly recorded column can be the difference between understanding a match and merely remembering one.

Croatia 2026 was not a miracle, but the sum of passes people overlooked. Table tennis is the same. A title is not a moment of genius. It is the sum of hundreds of dull serves, hundreds of correctly placed receives, and hundreds of small decisions the crowd never recorded. If someone bothers to record them, that person will see why the other player won. And having seen it, they will no longer call it luck.

What I want to leave here is not a conclusion about who is strong and who is weak. What I want to leave is a way of asking. When watching a table tennis match, instead of asking who won, ask what won this point. Instead of asking who is better, ask which index is being overlooked. Instead of asking who will be champion, ask what data is still missing to answer that question. A sport becomes more interesting when viewers understand it. And viewers only understand it when someone bothers to record what happened, honestly, point by point.

The ranking will keep changing. Points will keep expiring. New players will appear, and old ones will pass their peak. All of that is certain. What is not certain is whether we will record enough to understand why it happens. And that is the question I will keep pursuing, every match, every point, every column in my spreadsheet.