Chess, Go, and the Deep Roots of Strategy Games

Modern board games move fast — new mechanics, new themes, a fresh wave of Kickstarter-funded titles every year. It's easy to forget that two of the oldest strategy games ever devised, chess and Go, are both still played competitively today, centuries or millennia after they were first codified, and that a surprising amount of what makes modern strategy games work traces straight back to principles those two games worked out first.

Chess: complete information, asymmetric openings, deep theory

Chess belongs to a category game theorists call a game of “perfect information” — both players can see the entire board at all times, with no hidden cards, no dice, and no concealed information of any kind. Every outcome, in principle, is determined entirely by the decisions both players make. That single design choice is why chess supports such staggeringly deep theory: centuries of recorded games, opening databases, and named strategies (the Sicilian Defense, the Queen's Gambit) all exist because nothing about the game is left to chance for players to blame instead.

What's easy to miss is how much of that depth comes from asymmetric piece movement rather than a big board or a large rulebook. Six piece types, each moving differently, create a genuinely enormous space of possible positions — more possible chess games exist than atoms in the observable universe, by most estimates — from a rule set that fits on a single page. Modern strategy games that pack deep decision-making into a short rules explanation are, whether or not their designers intended it, chasing the same effect.

Chess's own history is itself a lesson in how a game evolves over a long timeline. Game historians widely trace its roots to an Indian game called chaturanga, which spread through Persia and the Islamic world into Europe over the course of centuries, picking up rule changes at each stop — the sweeping modern moves for the queen and bishop, for instance, are believed to have solidified relatively late in that long journey, not present in the game's earliest forms. The version played today is really the accumulated result of a very long, informal design process spread across many cultures, not a single inventor's finished creation.

Go: simple rules, emergent complexity

Go takes a different route to similar depth. Where chess achieves complexity through varied piece movement, Go uses one single rule — place a stone, try to surround territory and opposing stones — on a much larger board (traditionally 19×19 lines), and lets complexity emerge from how that one rule interacts with itself at scale. For decades, Go was considered the harder game for computers to master precisely because its complexity doesn't come from complicated individual rules that a program can encode directly; it comes from the sheer scale of interactions between simple pieces spread across a big board.

This is a genuinely different design lesson from chess's, and one modern abstract and area-control games borrow constantly: you don't need a rulebook full of exceptions to get real strategic depth. A small number of simple, well-chosen rules, given enough room to interact, can generate more complexity than a long list of special cases.

Go is also frequently cited as one of the oldest games still played in close to its original form, with a documented history in China stretching back multiple millennia by most accounts, long predating chess's own emergence. That extraordinary continuity — a ruleset simple enough to explain in a couple of sentences, stable enough to survive largely unchanged for thousands of years — is itself a kind of design achievement most modern games never get the chance to demonstrate, since they haven't existed nearly long enough to prove that kind of staying power.

What both games share: no hidden information, no luck

Chess and Go sit at the same end of one important spectrum: both are fully deterministic, perfect-information games with no dice, no cards, and no fog of war. That's actually unusual among popular tabletop games today, where hidden hands, dice rolls, and concealed objectives are the norm. It's worth remembering that "no luck at all" is a legitimate, historically dominant design choice, not a gap modern games are trying to fill — it just optimizes for a different kind of tension, where every loss is attributable entirely to a decision you made rather than a bad die roll.

That design choice has a real social consequence worth naming: a loss at chess or Go can't be blamed on the dice, which makes both games feel more personally exposing to lose at than a luck-driven game, and also why both developed such rich competitive and instructional traditions — a game where skill is the only variable rewards deliberate study in a way a luck-driven game simply can't.

The race games that came even earlier

Chess and Go aren't even the oldest strategy games still recognizably played today — backgammon and its ancient predecessor Senet push the timeline back further still, into different territory: games that combine a race toward a goal with real strategic decisions about which pieces to move, layered on top of dice-driven randomness. That combination — genuine strategy sitting on top of real luck — is arguably the more common template for the games most people actually own today, from party games to competitive Euro games, than the pure-skill lineage of chess and Go.

Archaeological finds like the Royal Game of Ur — a race game played with dice on a distinctively shaped board, recovered from royal graves in ancient Mesopotamia — show the same design pattern showing up independently in multiple ancient cultures: move your own pieces along a shared track toward a goal, faster if the dice favor you, but still bounded by real decisions about which piece to advance at each turn. That "strategy layered on managed randomness" pattern is a genuinely different design lineage from chess and Go's determinism, and it's the one that most directly anticipates how modern dice- and card-driven strategy games are built.

What's notable is that this template hasn't gone anywhere in the intervening millennia — it simply kept getting rebuilt in new forms. A worker-placement game with a shuffled deck of event cards, a deckbuilder where the draw order genuinely matters, a racing game with a spinner: all of them are, structurally, the same strategy-over-managed-chance core as a race game played on a board recovered from a burial chamber, just wrapped in a different theme and a more elaborate rulebook.

Two lineages, one modern hobby

Almost every strategy game on a modern shelf descends from one of these two lineages, whether or not its designer ever thought about it in those terms. Perfect-information, no-luck design shows up today in abstract strategy games and many two-player duels, where the appeal is a contest decided entirely by decisions. Strategy-over-managed-randomness shows up in the much larger category of modern Euro and hybrid games, where dice rolls, card draws, or shuffled tiles introduce real variance, but a well-designed ruleset keeps that variance bounded enough that better decisions still win more often than not over a full session.

Recognizing which lineage a new game belongs to before you've read a single rule is a genuinely useful shortcut. A description that emphasizes “no luck, pure skill” is signaling the chess/Go tradition and the kind of exposed, deliberate losses that comes with it; a description built around dice, card draws, or randomized setups is signaling the older race-game tradition, where a bad roll is a normal, forgivable part of any single session rather than a verdict on anyone's skill.

Why the history is worth knowing

None of this is trivia for its own sake. Recognizing which design lineage a modern game descends from — deterministic and skill-pure like chess and Go, or strategy layered over managed randomness like backgammon — tells you a lot about what kind of experience to expect before you've read a single rule. It's also a useful lens when you're building out a collection deliberately rather than by accident: a shelf that's entirely one lineage or the other tends to feel one-note over time, while a mix gives a group real range depending on the mood of a given night. Our Museum of Games traces both of these lineages in more depth, from the earliest known race games through the deep opening theory of chess and the emergent complexity of Go, right up to the modern Euro games that borrow from all of them at once.

Bringing it back to tonight's table

Knowing a game's design lineage is one filter; matching it to your actual group is a separate, equally practical one. A pure-skill, no-luck game rewards a table that's evenly matched in experience, since a big skill gap turns a deterministic game into a predictable rout rather than a real contest — the opposite of what a good luck-tempered game offers, where a weaker player still has a real shot on any given session. If you're weighing which kind of game to bring out for a specific group tonight, our Player-Count Matcher and Game-Night Planning Reference are built for exactly that decision, regardless of which of these two ancient lineages the game you're considering actually descends from.