The Void in Tennis: Why Sports Writers Fear Saying 'Not Enough Data'

One evening in late June, I sat in a small room in Hai Phong, earphones plugged into an old laptop, eyes fixed on a replay of a Roland Garros quarter-final. On the desk were three sheets of paper covered in numbers, beside a cup of coffee that had gone cold long ago. The commentator on the international feed was speaking fast and with great excitement about the "courage" of a player who had just saved two break points in a row. I rewound that passage three times. On the official stat sheet, no column is labelled "courage". There were only three quiet numbers in the corner: the first-serve-in percentage during that game, the points won in rallies of seven shots or longer, and the serve direction on the decisive point. Three numbers so small they could never make a headline. I sat with those three numbers longer than the match itself lasted. Not because they were beautiful. But because they were everything the truth allowed me to write about that moment. Everything else — bravery, character, maturity — is inference. Not wrong, but inference. Professional tennis today is a vast data-producing machine. At every Grand Slam, electronic measurement systems record thousands of points, hundreds of thousands of shots, ball speed, spin, bounce location, the distance each player covers. A two-week tournament generates more data than a decade of competition in many other sports. In theory, fans have never had more tools to understand tennis. But the paradox lies elsewhere. The more data there is, the less people read it. The more numbers exist, the more room there is to fill with words. This is what I have observed over fifteen years of following the majors from afar, through screens, through recordings, through stat sheets downloaded at two in the morning. I have worked in this trade for more than twenty years, and I remember the turning point clearly. Around the mid-2010s, as digital platforms multiplied, editors at many newsrooms began demanding something else: faster, more sensational, more shareable. Analysis gave way to news briefs. News briefs gave way to status updates. And in that race, the last thing left behind was always the data — because data does not know how to speak loudly. There is data that needs no loud voice, only someone patient enough to read it. I am not the only one who noticed. But in an industry where male voices dominate, people tend to treat volume as a measure of understanding. Whoever speaks louder is believed. Whoever makes more predictions is called an expert. And whoever quietly opens the stat sheet and says "wait, this is not enough to conclude anything" is seen as lacking passion — or simply as a woman who does not understand pacing. I once heard that line. In 2026, at the 29th SEA Games in Kuala Lumpur, I was the only female journalist in the track-and-field press group. I discovered that Nguyen Thi Oanh won the women's 1500m through a negative-split tactic — her first 800m was 2.3 seconds slower than her final 700m. When I presented my tactical analysis to my editor, he laughed and told me I did not understand pacing. I did not argue. I spent three weeks reviewing the footage, drawing my own charts, publishing on my personal blog. The piece reached 50,000 views in 48 hours and was shared by the national team's head coach himself. Since then, I stopped asking permission before writing. And since then, I began looking at tennis through the eyes of someone who reads numbers — not to show how much I know, but to know exactly where I know nothing at all. Start with a concrete example. Grand Slam prize money is the most quoted figure in every tennis article. The US Open recently raised its total purse to a record level above 75 million dollars, with the men's and women's singles champions each receiving about 3.6 million dollars. Wimbledon, with a total purse of roughly 50 million pounds, pays each singles champion about 2.7 million pounds. The Australian Open has a total purse exceeding 96 million Australian dollars. Roland Garros rises steadily each year. These numbers appear everywhere. But almost nobody answers the next question: how is that money distributed between the first round and the final? What percentage of the total purse flows into the pockets of the top 32 players, and how much of the remainder is shared among hundreds of players struggling to cover travel, coaching, and physiotherapy? Tracking that distribution structure over the years is where the truth about the sports-rights bubble emerges — a bubble I believe has peaked, and streaming platforms are repeating the old television mistake of overpaying for rights and losing heavily. Another example. When a player exits a major early, the media immediately talks about a form crisis. Few bother to open the 52-week calendar and calculate how many points that player is defending this week. The tennis ranking system works on a rolling basis: a tournament's points are deducted exactly 52 weeks later. If the player reached the semi-finals last year and lost in the fourth round this year, the loss is not a sign of decline — it is pure subtraction. But subtraction does not sell advertising the way tragedy does. People look at the rankings; I look at what the rankings hide. So which metrics are truly worth reading? Over more than twenty years of watching, I have drawn one rule: ignore the most-quoted numbers and focus on the quiet ones. First-serve-in percentage is a flashy metric, but first-serve points won is the decisive one — it measures the quality of the serve, not just its frequency. Aces make a strong impression, but second-serve points won is where the elite separates from the rest. The same applies to returning. People praise beautiful return shots, but the number that matters is second-serve return points won — low for most players, creeping up by a percentage point or two among the leaders. A player winning 55 percent of second-serve return points is already excellent. That figure is not glamorous. It never appears in a headline. But accumulated across a two-week tournament, it is the difference between the fourth round and the title. Then there is break-point conversion. This is the most misleading metric in tennis. A player converting 3 of 12 break points looks like a failure, but if those 12 opportunities came from only three different games and the opponent was serving at a high level, then 3 of 12 may be a normal outcome of probability. Conversely, a player converting 2 of 2 looks perfect, but a sample of two says nothing at all. Small sample size is the trap sports media falls into every single day. Across the four Grand Slams, different surfaces produce different metric systems. On Wimbledon's grass, serving dominates: service points won can exceed 80 percent for strong servers, and short rallies make up most points. On Roland Garros clay, that figure drops, long rallies surge, and lateral movement becomes decisive. On hard courts, the ball travels faster than on clay but bounces more consistently than on grass, creating a fragile balance. Reading the same metric across three surfaces without adjusting for context is a basic error. Yet that basic error is the most common one. I once read an analysis praising a player's impressive first-serve points won — without saying which tournament, which surface, or the ranking of the opponent. The number was right, the context absent, the conclusion wrong. That is not data. That is data abandoned halfway. And here is what I want to say plainly: the problem in tennis is not a lack of data. The problem is a lack of people willing to read data to the end, and a lack of people brave enough to say "I don't know here". In a media industry that runs on tempo, silence is treated as failure. But to me, silence before an information gap is the most honest act a writer can perform. Most of my colleagues would disagree. They say readers want stories, not spreadsheets. They say sport is emotion, not mathematics. And to some extent they are right. But the best stories are always built on a foundation of truth. A story about courage assembled from a fabricated number is not a story — it is advertising. The irony is that technology itself is pushing this contradiction to its peak. Electronic measurement can now record the spin of every shot, movement distance to the metre, swing speed to the thousandth of a second. That volume of data is enough for thousands of genuine analytical pieces. But most of it sits idle in organisers' databases; only a fraction reaches the broadcast stat sheet, and a smaller fraction still is read correctly. I once ran a small experiment. For one week, I counted how often international tennis broadcasts mentioned a specific metric. The result: aces and double faults appeared constantly, while second-serve points won was almost never mentioned. Yet according to the data I collected myself, that second metric correlates most strongly with match outcomes among elite players. The gap between what is mentioned and what deserves mention is a map of intellectual laziness. There is another way to see it. Elite sport is the art of repetition — and of breaking repetition. Every player builds a career on tens of thousands of hours repeating a movement until it becomes instinct. Then comes a moment, in a particular match, when they break that repetition. The break is what the media hunts. But to understand that moment, a writer must understand the repetition beneath it — and that foundation only appears in data. Repetition that is not recorded cannot reveal the break. A player changes serve direction on a decisive point — that only means something if we know where they served all match. But broadcast stat sheets rarely show serve-direction distribution. So the change disappears. Fans see a great point without understanding why it was great. And the commentator, instead of explaining, simply shouts that it was wonderful. Here I must say something that may irritate many. I believe most current tennis analysis — even on platforms considered deep — is essentially decorative data. Numbers appear not to illuminate anything, but to create the impression that the writer has evidence. That is why I always ask myself, with every number I intend to use: does it truly say something about the person and the choices of that player, or is it just filling a line? Rebellion does not have to be loud; sometimes it is quietly rearranging the numbers. For years, I have chosen to write slowly. I rewatch footage, draw my own charts, calculate my own averages, check whether a winning streak is truly a streak or just a lucky draw. It is not fast. It does not give me pieces that go viral within hours. But it gives me something else: the ability to stand before a piece of information and state precisely what I know and what I do not. And in a period when the sports market is entering a lively phase — tennis has no transfer window in the football sense, but it does have spells of coaching changes, sponsorship negotiations, and representation switches — that ability matters more than ever. Noise drowns signal. Fans sink into rumour. And the writer has a duty to be a credibility filter, not a loudspeaker adding yet another layer of static. The empty track is where I hear my own footsteps most clearly. I wrote that for athletics, but it holds for tennis too. Between a packed centre court and millions watching on screens, there remains a gap only the writer can hear: the gap between what we know and what we dare to say. If I could pass on one thing to the next generation of sports writers, it would be this: do not be afraid to say there is not enough data. That honesty will outlast every headline.