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    More possible chess games than atoms in the universe.

    There Are More Possible Chess Games Than Atoms in the Observable Universe

    The number of possible chess games is mind-bogglingly vast, estimated at 10^120, which is far more than all the atoms in the observable universe (around 10^80). This immense complexity is why, despite powerful computers, chess remains a game that cannot be solved by simply trying every single move.

    Last updated: Saturday 7th March 2026

    Quick Answer

    There are vastly more possible chess games than atoms in the universe. It's estimated there are 10^120 unique games, dwarfing the 10^80 atoms we can observe. This staggering complexity is precisely why, even with supercomputers, chess can never be "solved" by predicting every possible move, keeping the game endlessly fascinating.

    In a hurry? TL;DR

    • 1The number of possible chess games (10^120) vastly exceeds atoms in the observable universe (10^80).
    • 2This immense complexity is why chess remains an unsolved game, defying brute-force computational approaches.
    • 3The Shannon Number (10^120) estimates the game tree complexity, not just legal positions.
    • 4Shannon's estimate is a conservative floor, with actual game variations potentially being much higher.
    • 5Chess's complexity is orders of magnitude greater than simpler games like tic-tac-toe, keeping it challenging.
    • 6Comparing chess to cosmic scales highlights its profound mathematical and strategic depth.

    Why It Matters

    It's astonishing that there are vastly more ways to play a game of chess than there are atoms in the entire observable universe.

    The number of possible chess games far exceeds the total number of atoms in the observable universe. This staggering fact, often attributed to the "Shannon Number," places the complexity of chess at approximately 10^120 possible game variations, compared to an estimated 10^80 atoms in the cosmos.

    Summary of the Comparison

    The Shannon Number: 10^120 possible chess variations. Atomic Count: 10^80 atoms in the known universe. The Difference: There are 10 quadrillion vigintillion more chess games than atoms. Complexity: This mathematical reality is why chess remains an unsolved game despite modern technology.

    Why This Comparison Matters

    This mind-boggling scale highlights why chess has remained resistant to "brute-force" solutions, even for the most powerful computers. It reveals a fundamental limitation: you simply cannot map every single possibility.

    Defining the Shannon Number

    The figure is named after Claude Shannon, a pioneering mathematician and computer scientist. In his seminal 1950 paper, "Programming a Computer for Playing Chess," Shannon aimed to quantify the game's complexity. He wasn't seeking an exact count of every legal position, but rather a calculation of the "game tree complexity"—the number of possible move sequences from start to finish.

    Shannon's estimate of 10^120 is actually considered a conservative floor rather than a ceiling. It assumes an average of 30 legal moves per turn and a game length of 40 moves. Modern analysis suggests the actual number could be significantly higher.

    Chess board with countless possible game variations, representing complex game recognition.

    Comparing Global Assets to Cosmic Realities

    To grasp this immense scale, consider these comparisons:

    Atoms in the Earth: Approximately 1.3 x 10^50. Atoms in the Milky Way: Approximately 2.2 x 10^68. Atoms in the Observable Universe: Approximately 10^80. Possible Chess Games: Approximately 10^120. Possible Go Games: Approximately 10^170.

    Unlike trivial games such as noughts and crosses (which has only 255,168 possible games and is easily "solved"), chess exists in a realm of complexity that defies total memorisation. The sheer number of branches in its decision tree keeps the game eternally fresh and challenging.

    The Mathematical Discovery Process

    Claude Shannon arrived at his estimate by observing the typical "branching factor" of a chess match. On nearly any given turn, a player usually has between 20 and 50 legal moves. By calculating the average number of "plies" (a single move by one player), he estimated that a typical game lasts about 80 plies, or 40 full moves for both sides. Multiplying these averages results in 10^120.

    This figure remains the standard for discussing game complexity. Even if humans or AI never explore most of these paths, the possibility* of them existing underpins chess’s enduring appeal.

    Frequently Asked Questions

    There are approximately 10^120 possible chess games, which is vastly more than the estimated 10^80 atoms in the observable universe.

    The Shannon Number is an estimate of the game tree complexity of chess, calculated to be around 10^120 possible move sequences. It's named after Claude Shannon, a pioneer in information theory.

    Chess's complexity stems from the immense number of possible move sequences, known as the Shannon Number (10^120). This sheer scale makes it impossible to 'solve' through brute-force computation, even for powerful computers.

    The estimate for the number of possible chess games, known as the Shannon Number, was made by Claude Shannon, a mathematician and computer scientist, in 1950.

    Sources & References