ChessBase Magazine #225 and Chess Festival Prague 2026: 27 Short Games Say More Than 27 Long Ones

Prague, March. I sat to the left of the second-floor hall, hidden behind a stone column, able to see only board two in full and part of board five. A poor seat for anyone who wants the full picture. For me, the best seat in the room. When you cannot see the beautiful move, you are forced to see the structure. From the sideline, I saw the whole game. The game I remember most from the 2026 Chess Festival Prague was not the longest one. It ended on move twenty-three. No elegant piece sacrifice, no combination that the press would repeat for weeks. Only an order that broke on move fourteen, and ten moves of consequences that followed with inevitability. Those ten moves have nothing to tell. Which is exactly why they are worth telling. ChessBase Magazine #225 gathers games like that — twenty-seven short games, selected by the editors for entertainment value. That number deserves more than a single line of description. In elite chess, the short game is the hardest piece of evidence to fake about the gap in strength. A short game gives nobody time to correct a mistake. It also gives the audience no time to forget that they have just witnessed an organised collapse. I spent most of this April reading issue #225 the way I would read an audit report, not a magazine. And I found something the publisher's blurb does not mention: those twenty-seven short games describe the current state of elite competitive chess more accurately than any standings table. A state I have observed for years, from the sideline, and always seen described wrongly. Context: what Prague has become on the chess map The Chess Festival Prague was founded in 2026 and quickly took a position few new tournaments manage to take: it sits in the middle of the season, at exactly the right scale to attract a strong field, but not large enough to become a media spectacle. That is why I have followed it since the first editions. The tournament has one very specific technical feature: the Masters and Challengers sections run in parallel, in the same hall, under the same arbiter team. This creates what I call a double-pressure environment. A young player in the Challengers sits a few metres from a world-class player. They share an analysis room, a corridor, a dining hall. The physical distance is small, but the distance in decision quality is enormous. That distance is precisely what the ChessBase Magazine editors exploit when they assemble issue #225. ChessBase Magazine is ChessBase's periodical, launched in the mid-1980s and now past its two hundredth issue. Its structure is predictable to the point of formula: top players analyse their own games, opening specialists present new trends, senior coaches teach tactics, strategy and endgames. Issue #225 does not break that structure. It fills it with Prague material. The list of annotators is worth reading slowly: Aravindh Chithambaram, Anish Giri, Gurel, David Navara and others. These four names represent four entirely different types of player, and I will spend most of this piece decoding that difference. When a magazine puts four different modes of thinking into one issue, the real value lies not in each game but in the juxtaposition. Add ten opening articles with repertoire ideas and three opening video series by Jan Werle, Daniel King and Robert Ris. Those three are not a random trio. They are three teaching schools, and the difference between them mirrors the difference between the ways people learn chess today. On distribution: the issue ships as a direct download with a PDF booklet, or as a printed booklet with a download key by post. Issue #225 is also packaged as a ChessBase Book for iPad, tablet and Mac. This sounds like logistics. To me it is part of a larger story: the way a player studies chess is changing faster than the way a player plays chess. People watch the players run. I watch the whole block shift. In chess that translates to: people watch the brilliant move. I watch the broken order. Core: the anatomy of twenty-seven short games Before the content groups, I need to explain why a short game has higher diagnostic value than a long one. This is something I have verified with my own data, not with feeling. When I began systematic note-taking in 2026, I built a tracking sheet with eleven columns. It later grew to twenty-seven. One of the most important columns I called the break point: the move after which the engine evaluation drops irrecoverably. When I compared several years of data, a pattern emerged with uncomfortable clarity. In long games, the break point usually appears late and is masked by a run of technically reasonable moves. In short games, the break point appears early and reveals the direct cause. In other words: long games hide mistakes, short games expose them. In a training product, twenty-seven short games are worth twenty-seven properly conducted autopsies. But there is a trap. If the reader approaches these games as a collection of pretty combinations, they will learn very little. The real value is elsewhere: the short games at Prague show that the difference between a strong player and a very strong player is not calculation. It is structural decision-making in the first ten moves. I tested this simply. For each of the twenty-seven games, I noted the move at which I believed the game was structurally decided — usually move eight to fourteen. Then I compared it with what actually happened. In most cases, the rest of the game was procedure. The losing player no longer had an organised way to resist. That is the first lesson issue #225 conveys without stating it: at this level, procedure is calculated long in advance, and resistance is calculated too late. Aravindh Chithambaram: the Masters winner and the method of risk governance Aravindh Chithambaram took the top position in the Masters at the 2026 Chess Festival Prague, per the organisers' official results. An Indian player winning a mid-season European event is no longer shocking this decade. What is worth analysing is how he won. I followed Aravindh's games at Prague with a separate notebook, and recorded three recurring features. First, he does not optimise for a large advantage. He optimises for a small but durable one. Second, he handles positions where he has a structural edge by reducing his opponent's options, not by increasing his own. Third, he accepts games without a beautiful finish — controlled draws — as an investment in his final standing. These three features look very much like how a team manages a long league season. And that is exactly how a player targets first place in a nine-round round-robin. Not by winning at all costs, but by never entering a state where control can be lost. In his annotations in issue #225, Aravindh gives more space to his draws than to his wins. That is the signature of a specific school: he treats controlled draws as documentation, not as discarded results. I once wrote a short piece, years ago, that drew furious responses, arguing that in elite chess most draws are not a failure of creativity but a successful product of risk management. That piece was pelted. Data never takes offence. I kept the view, and issue #225 adds material to it. Anish Giri: structural perfection and its trap Anish Giri appears in the annotator list, and no player illustrates the central contradiction of modern chess better. Giri has one of the deepest structural understandings of his generation. He rarely makes serious technical errors. He handles almost every type of position. In a pure move-quality frame, he is top tier. So why has he not accumulated major titles matching that quality? The answer lies where engine analysis cannot measure: the cost of always being right. When a player optimises for not making mistakes, he simultaneously optimises for not creating tension. But tension is the raw material of victory. A position with no instability has no outcome other than a draw. I see this in many of Giri's games, and it recurs at a frequency that rules out coincidence. In his annotations in issue #225, Giri presents games with high precision. His notes are clean, systematic, technical. But when I place those games beside Aravindh's, a difference emerges: Aravindh accepts small imbalances to accumulate real advantage. Giri often handles perfectly balanced positions in a theoretically perfect way. Both are technically right. Only one leads to first place. This is the counter-intuitive point I develop later: in elite chess today, precision is no longer a competitive advantage. Precision is the minimum entry requirement. The advantage lies in the ability to accept and manage uncertainty. David Navara: home pressure and the special case of the home player David Navara has been the Czech number one for years, and his presence in an issue about the Prague tournament is natural. But I want to use this section for an aspect rarely analysed: the psychological cost of playing at home. I have observed this in many sports, and the model is stable. A player competing at home gains in crowd support, venue familiarity, routine. But they also carry a pressure no visiting player carries: every mistake is a public event. There is no buffer. For Navara there is an extra layer. He is the face of Czech chess. When he plays in Prague, each game is watched by people who care not only about the result but about whether he deserves his position. In his annotations, Navara shows deep familiarity with familiar structures. He handles positions he has seen hundreds of times well. That is the advantage of experience. It is also the limit: experience creates comfort, and comfort reduces the drive to seek unfamiliar options. This is the general paradox of home players everywhere. They play technically better and creatively worse. In modern chess, where every position is analysed to move twenty, innovation is the only real source of advantage left. Home pressure, in its own way, drains that source. Gurel and the less-discussed cases Among the four headline names in issue #225, Gurel appears least in popular chess discussion. And that is precisely why his section is the most valuable to read. Players in the second tier of world chess — strong enough to beat anyone in a single game, unable to sustain it across nine — reveal the most about the mechanism of the sport. They have no preparation resource advantage, no support team, no media pressure. They have only the board. When I analyse games by this group, I look for one specific thing: the moment they stop believing in their own position. This phenomenon is invisible in engine data but clear in the move sequence. Before that moment, their moves have continuity of intent. After it, their moves become scattered defence. The engine evaluation may not drop immediately, but the structural plan has collapsed. For players in this group, the problem is almost always the same: they have the technique to match the top group for sixty moves, but not the support system to sustain confidence across ten rounds. That is an infrastructure gap, not a talent gap. And it is rarely stated in the coverage. Ten opening articles: real value versus advertised value Issue #225 contains ten opening articles presenting repertoire ideas. This is the section I approach with the most scepticism, and I will explain why. The chess opening industry has a peculiar economic structure. It sells new ideas. But the number of genuinely new ideas in elite chess is tiny. Most of what is advertised as a discovery is a rediscovery of known lines, or a small adjustment to old ideas. This is not a criticism. It is the nature of a system analysed to a depth of dozens of moves over decades. So where is the real value of these ten articles? It is somewhere other than the headline suggests. The first value is diagnostic: they show who is playing what right now. In chess, knowing what your opponent is preparing matters more than knowing a specific line. These ten articles, read as a block, map the distribution of opening systems used by the leading players at Prague. That is intelligence, not a recipe. The second value is comparative: side by side, the reader sees opposing trends coexisting. One group of players avoids heavy opening theory by simplifying; another dives into complex variations to create surprise. These do not contradict. They are two strategies for the same problem: preparation cost. The third value, the most important to me, is reverse training: good opening articles teach you how to read an opening, not how to memorise one. That is the biggest difference between a good and a bad article in this genre. A bad article gives a move sequence. A good one gives a sequence of reasons. And here is my warning. What destroys a young player's opening education is not a lack of material. It is too much material consumed as a consumer product rather than as a structured lesson. Three opening video series: Werle, King, Ris and three teaching schools The three opening video series in issue #225 are by Jan Werle, Daniel King and Robert Ris. The publisher's choice of exactly these three is not accidental. They represent three pedagogies, and the difference matters beyond one product. Werle approaches openings structurally. He often starts from a typical middlegame the opening heads toward, then works backwards to explain the moves. This suits learners who want to know why rather than what. King approaches openings through story. He walks the viewer through the history of an idea, showing who played it, when, why it vanished and returned. This suits learners who anchor information in historical context. Ris approaches openings through direct application. He gives concrete lines with decision rules for using them in practice. This suits learners who want fast, verifiable results. All three are right. The problem is that learners pick one based on taste without understanding that each solves a different learning stage. Structure suits the early stage, when principles must be understood. Story suits the middle stage, when a memory system must be built. Application suits the late stage, when the foundation exists and results must be optimised. A learner who only uses application memorises many lines without understanding them. A learner who only uses structure understands principles but is slow in practice. That issue #225 supplies all three is a training-design advantage few products have. Patience is not stillness. Patience is waiting for the opponent's pressing rhythm. In chess: patience is not playing slowly. Patience is waiting for the moment the opponent's structure destabilises. ChessBase Book: delivery format and the shift in study habits One detail in the product description deserves time: issue #225 is packaged as a ChessBase Book for iPad, tablet and Mac, alongside direct download and print. This is not logistics. It is a statement about method. When chess training material is presented in an interactive digital form, the learner can move pieces inside the document, check variations with an engine, save positions for review. This is a fundamental change in how information is consumed. A printed book requires the reader to reconstruct the position. An interactive document does it for them. The benefit is obvious: faster absorption, more material processed, easier lookup. The cost is also obvious and rarely stated: reconstructing the position on a real board is part of the learning process, not merely preparation for it. When that step is automated, the learner loses an important memory mechanism. I have watched this for years with young players. Those given digital material early progress faster initially. In the medium term they often plateau at a level, while those who went through the manual board-setting stage have firmer foundations. This is not an argument against technology. It is an argument for deliberate technology use. An interactive document like ChessBase Book is an excellent tool for review and lookup. It cannot replace the initial acquisition stage done by setting up the position yourself. Contrarian angle: the risk-aversion epidemic and its price This is the section I want to give the most space, because it is my central observation about elite chess today, and issue #225 supplies material to test it. My thesis: elite chess is going through a shift toward risk aversion, and that shift is not technical progress. It is a defensive reaction to reputation pressure. I first built this thesis while observing the return of three-at-the-back systems in football. Many analysts praised it as tactical progress. I saw something else: coaches seeking a structure to shield their own insecurity, after their back four had been breached a few times. The back three was not an advance in thinking. It was a retreat packaged as an advance. The same mechanism operates in elite chess, in three ways. First, the dominance of safe opening systems. Once a player reaches a certain reputation level, the cost of a loss spikes. A high-rated player losing to a lower-rated one loses more than rating points. They lose standing. So top-group players have a structural incentive to pick openings that minimise the chance of losing, even when those openings minimise the chance of winning. This is an entirely rational individual trade-off and an entirely harmful systemic one. Second, the shrinking of creative space in the middlegame. When both sides choose safe openings, they reach the middlegame with less uncertainty. Less uncertainty means fewer chances to impose intent. Games drift toward balanced finishes. Third, and least recognised: a change in how players evaluate themselves. A risk-averse player does not see a draw as a missed opportunity. They see it as a well-managed result. This evaluation reinforces itself until a generation treats not losing as the default goal. This is where the twenty-seven short games of issue #225 become especially interesting. In an environment where risk aversion is the norm, short games are explosions. They happen when a player refuses the implicit safety pact. These games are not just entertainment. They are evidence that the norm is not a law of nature. It is a collective choice, and collective choices can be broken by individuals willing to pay the price. People remember the goals. I remember the empty right corridor. In chess: people remember the combination. I remember the hole a player left on the kingside on move twelve and never filled. Second contrarian angle: engine systematisation and the erosion of technical soil My second observation concerns youth training, and it is the other side of the technical story. I have followed the development of young players for years. In the past decade a clear trend appeared: the age at which a young player begins using an engine as their primary analysis tool keeps dropping. Fifteen years ago, a fourteen-year-old might analyse without regular engine use. Today, many eleven-year-olds have an engine-based workflow. The benefits are undeniable. Young players now understand complex tactical concepts at an age when previous generations were still learning basic principles. They calculate better, more precisely, faster. But there is a specific cost I observe, and I will describe it with a football analogy. At youth academies today, performance pressure has driven a physicalisation trend: young players are trained to be stronger, faster, more durable before they are trained to understand space and rhythm. The result is a generation with superior physicality and limited game intelligence. In chess, the equivalent is the absolutisation of the engine. When a young player learns chess mainly by testing hypotheses with an engine, they learn a very important skill: telling right moves from wrong ones. But they do not necessarily learn the more important skill: understanding why a move that is right in one structure is wrong in another. I call this the erosion of technical soil. The engine gives answers without process. A player trained mainly by engine can answer correctly in a specific position but struggles to transfer principles to a new one. Issue #225, with its structure of players annotating their own games, accidentally offers a remedy. Reading Aravindh or Giri, the reader does not get a line with numeric evaluations. They get a chain of reasons. And a chain of reasons is something no engine can supply. This is why I argue the long-term value of products like ChessBase Magazine is not currency. Currency expires in six months. The value is transferable explanations, and those hold for years. Third contrarian angle: arbiters, fairness and the grey zone of chess Here I address a subject on which I have held a clear position for years, rooted in my observation of officiating systems in sport. In football, I have always argued that referee-assistance technology does not reduce controversy. It moves controversy from the pitch to the review room and stretches a moment's dispute into a long one. The number of contested decisions does not fall. The number of people contesting them rises, because now everyone can rewatch and everyone believes they know the law. The same mechanism is at work in chess under a different name: anti-cheating. Chess has invested heavily in screening systems, verification procedures and online monitoring. These efforts are necessary. I do not oppose them. But they create a new grey zone, and that grey zone will be the main source of controversy in the coming decade. What is the grey zone? It is the question of thresholds. A player whose moves match an engine at an unusually high rate is suspect. But what rate counts as unusual? And does unusual mean cheating? In a sport where elite players study engine-generated lines and memorise them, engine agreement is a natural consequence of good preparation, not proof of cheating. This is an unresolved grey zone. And when a measurement system becomes a standard, it creates incentives to manipulate the measurement rather than change behaviour. That is the lesson from every measurement field in sport, chess included. I raise this here because tournaments like Prague, with players at many levels competing in one space, are where the issue is most urgent. Organisers must balance protecting integrity against creating an environment dominated by suspicion. There is no perfect solution. There are several acceptable ones, and the choice among them depends on the values the organiser prioritises. Systems do not lie, but they can only be heard when the data is thick enough. With chess anti-cheating systems, the data is not yet thick enough, which means both the accused and the accuser have reason to be unhappy. Implementation blind spot: the gap between training material and play I want to close the contrarian section with a specific blind spot, because this is where high-quality training products often fail silently. That blind spot is the implementation gap. A player reads ten opening articles, watches three video series, studies twenty-seven short games, and can understand all of it theoretically. But in a real game, under time pressure, they have no access to that knowledge unless it has been converted into structured reflex. I have studied this gap for years. I call it the gap between knowing and recognising. Knowing is the ability to read an idea and understand it. Recognising is the ability to detect that idea appearing on the board in front of you, in real time, with the clock running. In chess the gap is amplified by volume. Tens of thousands of analysed positions, hundreds of opening systems, thousands of tactical patterns. A player cannot memorise it all. They must filter. And filtering is a separate skill, taught by no product. The role of a product like issue #225 is to supply pre-filtered material. The editors filtered the Prague content down to twenty-seven games, ten opening articles, three video series. That is a filtering service. And it has real value, because a player's time is scarcer than their memory. But here is my emphasis: pre-filtering does not replace conversion. The reader still has to do the hardest part, turning read material into reflexes usable under pressure. My first article was pelted. Data never takes offence. When I published my first football pressing analysis and met fierce pushback, I spent six weeks rewatching footage and logging over four hundred failed pressing situations. What I learned was not that I was wrong. What I learned was that I had not supplied enough evidence for a correct conclusion. The same principle applies to chess training material: the quality of a conclusion cannot compensate for a shortage of evidence. Synthesis: a content model to test against After analysing the structure of issue #225, I want to offer a simple model for judging any chess training product, built on four questions. First: is the content transferable? Good material teaches a principle applicable to many positions. Bad material teaches a line usable once. Second: is the evidence independent of the conclusion? If an opening article only shows lines leading to an advantage and omits lines leading to balance, it is advertising, not analysis. Third: does it admit limits? An honest analysis states what it does not resolve. Absolute confidence on a complex problem is a warning sign. Fourth: is it verifiable? If the reader cannot check the conclusion using the games provided, the material does not serve learning. Apply these four to issue #225: its structure passes all four. The annotations by Aravindh, Giri, Gurel and Navara rest on specific games the reader can check. The opening articles tend to present both sides. The videos offer complementary angles. And the twenty-seven short games, by virtue of their length, are the most verifiable material of all — a reader can reconstruct a whole game in minutes. A forward thought I am sixty-nine. I still learn from the young ones. Chess does not retire. What I take from issue #225 is not a new line or a new endgame technique. It is a question I will carry into the next season. If elite chess is shifting toward risk aversion, and if that shift is driven by the structure of the rating system and reputation pressure, what will break it? The sport's history suggests risk-averse cycles do not end with calls for creativity. They end when a new generation grows up with nothing to lose and plays in ways the previous generation considers unreasonable. Seven months without football, seven months of asking why. I lived through such a period when tournaments stopped, and what I learned is that ruptures are where the right questions get asked, because there is no result to defend. In chess today we are in the opposite phase: too many results, too few questions. The twenty-seven short games of Prague do not answer my question. They give me a clean body of evidence to start finding the answer. And that is exactly what I need from a training product: not conclusions, but material good enough to reach my own.