When Sports Analysis Has No Data: Lessons from the Practice Court to the Press Room

The practice court is quiet, but every answer lies there. I have written this sentence throughout my forty-three years in the profession, and I still believe it. But there is a truth that few young colleagues are willing to admit: sometimes, the practice court has no answers at all. Not because the players are not training, but because we — the journalists — arrive there with an empty notebook, with no questions, no hypotheses, no foundational data. I remember the summer of 2026, when I followed Bastian Schweinsteiger at Chicago Fire. The young media chased sensational stories about the German star, while I stayed at the practice court for three hours just to record how he adjusted the positioning of young players. My forty-page notebook that day was full of small details: how Schweinsteiger turned his shoulder before receiving the ball, how he placed his hand on a teammate's shoulder after a failed play. There were no goals in those pages, but there were answers to the biggest question: how did a box-to-box midfielder become a playmaker from the deepest position? My article 'The Silent Sacrifice' did not mention the score, and head coach Veljko Paunović shared it publicly. But what happens when the notebook is empty? When there is no player, no match, no data? I have witnessed too many sports analysis articles written from that emptiness. Three-thousand-word articles with attractive headlines but not a single concrete number inside. Commentators talking about 'form' without a single statistic to prove it. Tactical analysts drawing formation diagrams without ever having watched a single training session. The forty-page notebook never lies. But it also cannot say anything if no one fills it. I learned this lesson bitterly in 2026, when I was a young reporter at the Daily Mail. I was assigned to write an analysis of a match I could not attend. I relied on a colleague's report, on short highlights, and on my imagination. The result was a long but hollow article, dismissed by my editor with a single question: 'Where is your data?' That was my first lesson about the difference between analysis and speculation. Analysis needs data. Speculation only needs confidence. And in sports journalism, confidence never replaces data. When everyone looks at the ball, I only see the coaching hand from the sideline. But when there is no ball to look at, what do I see? I see an industry deceiving itself with baseless analysis articles. I see three-thousand-word articles generated from a five-line news brief. I see commentators talking about 'the return of a legend' without a single number proving that return. People look at the goal, I look at the space behind the right-back. But when there is no match, I look at the emptiness in my own article. And I realize that this emptiness is growing larger in modern sports journalism. I went to Russia for the 2026 World Cup thanks to the reputation of my article about Schweinsteiger. There, I interviewed Andrej Kramarić, Croatia's number 9, who scored the equalizer in the 68th minute of the semi-final against England but was also the number one presser with four tackles in his own half. A male reporter laughed: 'Women only know how to count tackles.' I did not argue; I just handed him my forty-page notebook from the training sessions. Later, UEFA cited my article 'The Forward Who Plays Defender.' But that story also taught me another lesson: data does not speak for itself. Data needs context. Kramarić's four tackles only made sense when I explained that, in Zlatko Dalić's system, the number 9 is not there to score goals but to read the match and create space for the satellites around him. If I had only presented the number 'four tackles' without tactical context, it would have become a meaningless statistic. That is why I worry when I see more and more sports analysis articles written without context. Articles full of numbers but without a story. Complex statistical charts that do not explain why the number matters. 'Big data' analyses without a single observed training session. The practice court has no audience, but every answer lies there. I still believe that. But I also believe that an analysis without data is worse than an analysis with wrong data. Because wrong data can be corrected, but emptiness cannot be filled with beautiful words. I have witnessed too many articles about 'fairy tales in lower leagues' being consumed and then discarded. Articles about a young player 'full of promise' without a single number proving that promise. Articles about 'great comebacks' without data on distance covered, sprint counts, or passing accuracy. Inverted wingers are homogenizing football. I have written about this many times, and I still believe that traditional wingers are being wrongly erased. But I cannot write about it without data on crossing attempts, crossing success rates, and the difference in how opponents defend against a traditional winger versus an inverted one. Former stars opening youth academies are mostly commercial gimmicks. I have said this many times, and I still believe that systematic investment in grassroots coach education is severely lacking. But I cannot say this without data on the number of properly trained coaches, the rate of young players developing into professionals, and the difference between academies with proper coach education programs versus those relying only on the fame of former stars. The silent sacrifice does not appear on the scoreboard; it is imprinted in the running of teammates. I wrote this about Schweinsteiger, and I still believe it. But how can I prove that silent sacrifice without data on distance covered, pressing counts, ball recoveries, and the spaces created for teammates? I remember an afternoon at the Chicago Fire practice court, when I recorded how Schweinsteiger continuously instructed a young player on his defensive positioning. That boy did not score in the weekend match, but the team kept a clean sheet because he stood in the right position. No other reporter recorded that. But I had it in my forty-page notebook. Minute 60, the boy carries the captain's armband in his heart, not on his arm. I wrote this about another young player, who was not given the armband but was the one organizing the defense with his voice and positioning. How can I prove that without data on how many times he directed teammates, how many times he adjusted positions, and the difference in how the team defended with him present versus absent? The striker's tackle is the manifesto; the goal is only the conclusion. I wrote this about Kramarić, and I still believe it. But I cannot write it without data on his four tackles in his own half during the 2026 World Cup semi-final. So, what happens when we have no data? When we are asked to write an analysis about a topic we have no information about? I think the answer lies in honesty. We need to be honest about what we know and what we do not know. We need to be honest about the difference between analysis and speculation. And we need to be honest that, sometimes, there is not enough data to write a valuable analysis. I have lived through forty-three years in sports journalism. I have witnessed this industry change from the print era to the digital era. I have seen three-thousand-word articles replaced by short tweets. I have seen veteran reporters replaced by social media influencers. But I have never seen a valuable sports analysis written without foundational data. The practice court has no audience, but every answer lies there. That is still true. But if we do not go to the practice court, if we do not take notes, if we do not collect data, then the practice court is just an empty plot of land. And an analysis written from an empty plot is just an empty article. I remember the advice of my first editor at the Daily Mail: 'If you have nothing to say, say nothing.' That is a simple but profound advice. In an age where everyone can publish, that advice becomes even more important. We do not need more empty articles. We need articles with data, with context, with story. When I look back at my career, I am most proud of the articles built from specific observations at the practice court. The article about Schweinsteiger, the article about Kramarić, the articles about players who silently sacrifice for their teams. All those articles started with a notebook and a pen, with hours spent at the practice court, with small details that no one else noticed. And when I look at the current industry, I worry about the trend of writing without data. I worry about analyses created from imagination instead of observation. I worry about three-thousand-word articles without a single concrete number inside. But I also hope. I hope there will be young reporters who understand the value of going to the practice court, of taking notes, of collecting data. I hope there will be analysts who understand that data does not speak for itself but needs to be placed in context. And I hope there will be editors brave enough to tell their reporters: 'If you have nothing to say, say nothing.' Because in the end, the most important thing in sports journalism is not speed, not sensationalism, but honesty. Honesty with readers, honesty with ourselves, and honesty with data. The practice court is quiet, but every answer lies there. That is still true. But we need to go there, we need to take notes, we need to collect data. Only then can we write analyses of real value. And when we have no data, when we cannot go to the practice court, when we have no answers, then the most honest thing we can do is say: 'I do not know.' That is not a sign of weakness, but a sign of professionalism. I have learned this through forty-three years in the profession. And I am still learning every day. Because in sports journalism, as in sports, humility is part of greatness. We cannot know everything. But we can be honest about what we know and what we do not know. That is the biggest lesson I want to pass on to the younger generation of reporters. Do not write what you do not know. Do not analyze what you have not observed. Do not draw conclusions without data. Go to the practice court. Take notes. Collect data. And when you have no data, be honest about it. Because the forty-page notebook never lies. But it also cannot say anything if no one fills it. And an empty analysis is worse than an analysis with wrong data. Because wrong data can be corrected, but emptiness cannot be filled with beautiful words. I will continue to go to the practice court. I will continue to take notes. I will continue to collect data. And I will continue to write valuable analyses, based on specific observations and real data. Because that is the only way to do sports journalism honestly and professionally. And I hope that, in the future, more young reporters will understand this. More analysts will be willing to go to the practice court instead of sitting in front of a computer screen. More articles will be built from real data instead of imagination. Because in the end, what readers need is not empty three-thousand-word analyses. What they need is a deep understanding of the game, built from real data and specific observations. And that can only come from going to the practice court, taking notes, and collecting data. The practice court has no audience, but every answer lies there. I still believe that. And I will continue to go there, continue to take notes, continue to search for answers. Because that is the only way to do sports journalism honestly and with value.