Modern sports: Analysis without data is just speculation

When I walked into the press room after the match, a young journalist asked me: 'What do you think about the home team's tactics?' I looked at my laptop, full of heat maps, PPDA indices, and shooting efficiency. Suddenly I realized – if I didn't have those numbers, how would I answer? Perhaps I would say something generic like 'they played with great spirit' or 'the substitutions made the difference' – empty statements that anyone could make. This article is not about a specific match, but about a situation that is becoming increasingly common in the sports world: when an analysis report comes back with the conclusion 'insufficient information to assess'. Recently, I received a tactical and player analysis report from an NBA data system. The report was 50 pages long, but the entire content repeated the phrase 'insufficient information, cannot assess'. That led me to think about the true value of sports analysis in an era where everything can be measured. In the past, sports journalists relied on intuition and experience. They watched hundreds of matches and wrote about what they saw. But today, data has become a universal language. An article about basketball that doesn't mention possession rate, offensive efficiency, or defensive performance is like a scientific paper without an experiment section. However, when we cannot obtain those numbers, analysis becomes a mess of unsupported guesses. Let's look at the first section of the said report – Tactical Analysis. The assessment table includes criteria such as 'team advancement', 'execution', 'personnel fit', and 'key data'. Each row displays a 'insufficient information' status. What does that mean? Perhaps the original article's author omitted every tactical detail. Or perhaps our analyst failed to do their job. Whatever the reason, the result is that we cannot know whether that team plays a high-press system, relies on pick-and-roll, or uses ball movement. Such an analysis is no different from a blank page. The second section on player data is similarly empty. We have no scoring averages, efficiency ratings, usage rates, or position on the age curve. All are 'N/A'. In modern basketball, it's impossible to talk about a star without points per game, field goal percentage, or PER. These numbers help us separate truly good players from those who only create statistical illusions. Without data, any evaluation of performance or player value is fiction. Similarly, the team operations and salary cap section contains not a single number. No one knows whether that team has max contracts, whether they are in the luxury tax zone, or what future picks they hold. To understand a team, we need to know how they spend, what stage of the development cycle they are in. Without this information, any assessment of competitiveness is meaningless. But is this merely a problem of this specific report? I think not. In reality, many sports articles around the world, including in Vietnam, still write in the old way: narrating match events, praising spirit, but lacking depth based on data. An article about a player scoring the deciding goal might satisfy readers, but it doesn't help them understand why that play happened. In a world where every fan can look up statistics on their phone, such articles are quickly becoming obsolete. One of the reasons behind this is the lack of qualified analysts. Not everyone can read complex data tables and turn them into compelling stories. Additionally, time pressure forces journalists to publish immediately after the match, sometimes not enough to cross-check data. They resort to general comments instead of digging deeper. But we must also consider the opposite side. Over-reliance on data can also lead to mistakes. Numbers cannot measure confidence, team cohesion, or a coach's intuitive game-reading. In soccer, a team can have 70% possession but still lose 0-1. Looking only at statistics, we might think they played better, but in reality, the opponent won through efficiency. This shows data is a tool, not absolute truth. Back to the empty report – it raises a big question: are we expecting too much from analysis? Could it be that some sports simply cannot be reduced to numbers? Basketball is perhaps lucky because its rules are coherent and every possession can be coded. But even so, analysis requires quality input information. Garbage in, garbage out – if the original article provides no information, even the most modern analysis system is helpless. The report's final section, 'Overall Judgment', gave 0 stars for all criteria: competitive value, industry value, timeliness, and reference value. A sad result, but also a wake-up call. In an era of information overload, articles lacking data are not only useless but can be misleading. So what should we do? First, sports journalists must equip themselves with basic analytical knowledge. They need to understand advanced metrics, know how to verify information, and not hesitate to use data in their articles. Second, newsrooms should invest in data collection tools and staff training. Third, players and clubs themselves need to be more transparent in providing information. In Vietnam, V-League and professional basketball leagues are gradually progressing, but there is still a long way to go to reach international standards. A typical example is the coverage of foreign players in V-League. Instead of just focusing on goal counts, why not analyze their role in the tactical system? How do they move without the ball? How do they help defensively? These questions could be answered if we had enough tracking data, but currently, it's rare to see that in the media. During an interview with Coach Park Hang-seo earlier, he once said: 'Football is not a simple arithmetic sum'. I agree, but I think he would also agree that without numbers, we wouldn't know what to add. Whether in football or basketball, data is the foundation for accurate judgments. Without it, we are just building a castle on sand. Imagine opening a newspaper and reading a tactical analysis with no numbers whatsoever. It would be like a primary school essay – full of empty rhetoric. Readers would gradually lose trust. They would go to English statistics sites like Basketball Reference or FBref themselves instead of wasting time on shallow articles. I believe that within the next 10 years, sports newsrooms will have dedicated data departments, just like professional teams. They will not only send reporters to the scene but also analyze gigabytes of data from cameras and sensors. That will create a significant leap in content quality. But before that happens, we need to admit a truth: an article without data is just an essay, not an analysis. If you are a sports journalist, start today. When covering a match, don't just narrate who scored. Ask – why was he in that position? How did he move? How many passes before the shot? With free tools like Big Data Football or statistical websites, there is no reason to accept an empty article. Finally, that empty analysis report could be a good thing if we see it as a wake-up call. It shows that without data, everything falls apart. Conversely, when we have data, we can discover wonderful stories we could never see before. That is the real beauty of modern sports. So, be responsible writers. Don't let readers receive soulless analyses. Give them numbers, charts, and above all, real insights about the sport they love. That is much better than repeating boring clichés like 'both teams gave their all'. Data is not just a collection of dry numbers; it is how we read the game, understand the game, and love the game more deeply. Let this empty report become the last exception, not the norm in the future.