Snake Strategy: From Crashing to High Scores

The game hidden inside the game

Snake looks like a game about eating food. It is really a game about managing space. Every apple you eat makes the snake one segment longer, and that extra length never goes away — so the board slowly fills with your own body. Beginners chase each apple by the shortest route and quickly trap themselves; strong players treat the food as a bonus and spend their attention on keeping the board open. Once you internalise that shift, your scores climb dramatically. You can practise all of this in theSnake game.

Rule one: never trap yourself

The single most common way to lose is not hitting a wall — it is boxing yourself into a pocket of empty cells with no way out. This happens when the snake's body forms a loop or a wall that seals off part of the board. The mental habit that prevents it is simple: before every turn, ask "if I go this way, do I still have a path to open space?" If a move sends the head into a shrinking dead end, don't make it, even if the food is that direction. The apple will still be there next lap.

Use the edges

Empty space in the middle of the board is dangerous, because you can cut it in half with your own body. Space along the edges is safe, because a wall already borders it. A reliable early-game strategy is to run the snake around the perimeter and along predictable rows, keeping the body tidy against the edges rather than looping through the centre. A neat snake leaves large connected open areas; a tangled one leaves scattered pockets that are easy to trap yourself in.

The follow-the-tail method

Here is the technique that separates high scores from the rest. As long as you follow your own tail, you can never crash — the tail moves away from you every step, so the space it occupied is always about to open up. Expert players exploit this with a boustrophedon path: a back-and-forth sweep (like an ox ploughing a field, or how you read lines on a page) that covers every row of the board in order before returning to the start. Followed strictly, this path visits every cell and loops forever, which means you can keep eating indefinitely and, in principle, fill the entire board.

In practice you do not need to be perfect. Even loosely aiming to keep a clear path back toward your tail — rather than lunging at every apple — turns a 20-point game into a 100-point one. The discipline is to prioritise the safe route over the fast one.

Reading the board

• Count your exits. When heading toward a corner or a gap, make sure at least one escape remains after you arrive.
• Grab edge apples cleanly. Food near a wall is safer to collect than food in open space, because you can approach and leave along the edge.
• Don't chase risky apples. If an apple appears in a spot that would force you across your own body, wait — a new one is never far away.
• Keep the tail in mind. The cell your tail is about to vacate is the safest place on the board to be heading.

Common mistakes

Almost every avoidable death comes from one of a few habits. Tunnel vision on the apple is the biggest: fixating on the food and ignoring where your tail is leaves you cutting across your own path. Turning too late is another — because the snake moves on a grid, you must commit to a turn a cell early, especially near walls. And panicking when the board fills leads to hasty moves; the fix is to slow your decisions, not your snake, and fall back on following the tail until space opens.

A short history

The concept dates to the 1976 arcade game Blockade, but Snake reached a billion people when Nokia pre-installed a version on its mobile phones in the late 1990s. For a huge generation it was the first video game they ever played, tucked into a phone with a monochrome screen. Its endurance comes from that perfect simplicity: one rule, one growing line, and a difficulty curve you build yourself with every apple. It is the rare game that is genuinely easy to learn and genuinely hard to master.

The mathematics of a perfect game

Snake is simple enough that mathematicians and programmers have studied it seriously, and what they found is genuinely interesting. A "perfect" game means filling every cell of the board with the snake's body — on a 20 × 20 grid, that means eating 399 apples without a single mistake. It is theoretically achievable, and the way to guarantee it is a Hamiltonian cycle: a path that visits every square exactly once and returns to its start. If the snake simply follows such a cycle forever, it can never collide with itself, and it will eventually eat every apple that appears. The boustrophedon sweep described earlier is the simplest practical version of this idea.

The catch is efficiency. Blindly following a full cycle means travelling the entire board for every single apple, which makes a perfect game take an extremely long time. Cleverer approaches take shortcuts when it is provably safe and fall back to the cycle when space gets tight — which is exactly the human strategy of "take the fast route when you can see an escape, follow your tail when you cannot," formalised. That is why the advice in this guide is not just folk wisdom: it is an intuitive version of what the optimal algorithm does.

Why Snake never dies

Few games from the 1970s are still played daily, so it is worth asking what makes Snake so durable. Part of it is the self-generating difficulty: unlike a game with designed levels, Snake gets harder purely because you succeeded. Every apple you earn becomes an obstacle you must navigate. That creates a beautifully honest feedback loop — the game never punishes you arbitrarily; your only enemy is the consequence of your own progress.

The rest is accessibility in the purest sense. The rules can be explained in one sentence, the controls are four directions, and there is nothing to learn before you start. Yet the skill ceiling is genuinely high, since expert play requires planning many moves ahead. That combination — trivial to begin, difficult to master, and entirely fair — is the recipe behind most timeless games, from Tetris to chess. Snake achieves it with a single line and a dot, which is a small marvel of design economy.

Practising deliberately

If you want your scores to climb rather than plateau, practise with intent rather than just replaying. A few drills work well. First, play a whole game where you deliberately ignore apples that are awkwardly placed — you will score less that round but train the habit of evaluating safety first. Second, try consciously running a lap of the perimeter after every few apples to reset your snake into a tidy shape. Third, when you die, pause for a second and identify the actual mistake, which is usually a move you made three or four steps before the crash, not the final turn.

That last habit is the most valuable, because Snake deaths are almost always the delayed consequence of an earlier decision. Learning to trace the error back to its origin is what turns repeated play into genuine improvement — and it is a transferable skill, since the same "the mistake happened earlier than it looked" pattern applies in most strategy games.

From arcade cabinet to a billion phones

Snake's ancestor arrived in 1976 as an arcade cabinet called Blockade, a two-player game where each player left a solid trail behind them and tried to make the other crash first. Through the late seventies and eighties the idea was reimplemented endlessly on home computers, usually under names like Worm or Nibbler, because the rules were simple enough for a hobbyist to write in an afternoon and compelling enough that people kept playing.

Its moment of true ubiquity came in 1997, when Nokia pre-installed a version on the 6110 handset. Suddenly a game that had lived in arcades and on hobbyist machines was in the pocket of hundreds of millions of people, most of whom had never played a video game before. For an entire generation, Snake on a monochrome phone screen was their first gaming experience — played on buses, in queues, and in lectures. That accident of distribution turned a simple programming exercise into one of the most-played games in human history, and it is why the shape of a growing line still reads instantly as "Snake" decades later.

How a computer plays it perfectly

Snake is a favourite testbed for programmers writing game-playing algorithms, and the solutions reveal a lot about the game's structure. The simplest reliable approach is the Hamiltonian cycle: compute a single looping path that visits every cell on the board exactly once, then just follow it forever. Because the path never crosses itself and covers everything, the snake is guaranteed to eat every apple that appears and can theoretically fill the entire board. It never loses — but it is painfully slow, since it walks the whole circuit even when the apple is one square away.

Better algorithms add shortcuts: follow the safe cycle in general, but take a direct route to the apple whenever it can be proven that doing so still leaves a path back to the tail. That is precisely the human intuition described earlier, made rigorous — always keep an escape route to the space your tail is vacating. The fact that the best-known machine strategy is a formalisation of "manage space, follow your tail" is a good sign you are learning the right lesson rather than a trick.

Variants worth knowing

Part of Snake's longevity is how easily the core rule bends into new games. Understanding the variants also sharpens how you think about the original.

This version keeps the classic rules — solid walls, constant speed — deliberately. Without a speed ramp, nothing about the difficulty is artificial: every game ends because of a decision you made about space, not because the game outran your fingers. That makes it the purest version for actually learning the strategy.

Why it still works

Game designers often point at Snake as a model of elegant design: one rule (you grow when you eat) generates all of the difficulty, and the player creates their own obstacles. There is no level design, no difficulty curve authored by a designer — the challenge is emergent, and it scales perfectly with your own success. The better you play, the harder it gets, automatically and fairly.

That structure also makes it endlessly re-playable in short bursts. A game lasts a minute or two, the failure is always clearly your own fault, and the fix is always visible in hindsight — the exact combination that makes a game moreish. Add a saved best score and the loop is complete: you are not competing with a leaderboard of strangers, just with your own last attempt.

The next time you play, stop chasing apples and start managing space: use the edges, keep a path to your tail, and only take food that leaves you an exit. Try it in theSnake game— your best score is saved on your device, so you can watch it climb as the strategy clicks.