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FreeCell

FreeCell is a single-player solitaire card game played with a standard 52-card deck. Unlike many forms of patience, all cards are visible from the beginning of the deal. Play therefore centres on planning, sequencing and the management of four temporary storage spaces known as free cells.[3]

The computer game is associated with Paul Alfille, who created an early FreeCell implementation for the University of Illinois' PLATO system. Related open-card patience games predate the computer version, including Baker's Game, described in Martin Gardner's 1968 Scientific American column.[1][2][3]

Contents
  1. Rules
  2. History
  3. Numbered deals
  4. Solvability
  5. Strategy
  6. Variants
  7. Research and computing
  8. Playing FreeCell online
  9. References

Rules

A standard game begins with all 52 cards distributed face up into eight tableau columns. Four free cells may each hold one card, while four foundation piles are built by suit from Ace through King.

  • Cards in the tableau are normally built downward in alternating colours.
  • A single exposed card may be moved to a free cell, a legal tableau position or a foundation.
  • Empty tableau columns can be used as temporary storage and substantially increase the number of cards that can be repositioned.
  • The game is won when all 52 cards have been moved to the four foundations.

These rules distinguish FreeCell from close relatives such as Baker's Game, in which tableau building is by suit rather than alternating colour.[1]

History

FreeCell belongs to a family of open-card patience games. Martin Gardner's June 1968 Scientific American column discussed combinatorial card-game arrangements and is a standard historical reference for Baker's Game, an important predecessor of FreeCell.[1]

Paul Alfille later implemented FreeCell on PLATO, the networked computer-based learning system developed at the University of Illinois. The University describes PLATO as an early distributed computer learning environment that grew to several thousand terminals and supported substantial user-created software.[2] In a 2000 interview, Alfille discussed the origin of his implementation and the earlier solitaire ideas that influenced it.[3]

FreeCell became much more widely known through Microsoft Windows. A 2002 New York Times feature documented the culture that grew around Microsoft's numbered FreeCell deals and the attempt to solve the original set.[4] FreeCell remains one of the five classic solitaire modes included in the current Microsoft Solitaire Collection published by Xbox Game Studios.[5]

Numbered deals

A defining feature of Microsoft's implementation was its use of reproducible numbered deals. The classic Microsoft problem set contains 32,000 deals, a collection that later became a standard benchmark in both player communities and computer-solver research.[4][7]

Numbered deals allow two players—or a player and a solver—to reproduce exactly the same starting position. Modern implementations often preserve this convention, and contemporary FreeCell apps still use numbered-deal modes for replaying known layouts.[10]

Solvability

FreeCell is unusual among widely played solitaire games because almost all ordinary deals can be solved. Within Microsoft's original set of 32,000 numbered deals, deal #11982 became famous as the exceptional layout that resisted the large-scale solving effort documented in the press.[4]

Academic work treats FreeCell as a non-trivial planning problem. Malte Helmert's 2003 paper in the journal Artificial Intelligence analysed FreeCell as one of the standard benchmark domains used in automated planning research.[6]

Important distinction: statements about the computational complexity of generalised FreeCell do not mean that a normal 52-card deal is computationally intractable. Complexity results enlarge the game so that the problem size can grow; ordinary FreeCell always uses a fixed deck.

Strategy

Strong FreeCell play generally revolves around preserving mobility. Filling all four free cells too early can block access to buried cards, while creating an empty tableau column can dramatically increase the number of cards that can be repositioned.

Common strategic principles

  • Keep free cells available. Temporary storage is most valuable while it remains flexible.
  • Create empty columns. An empty tableau column can be more strategically useful than a single open cell.
  • Do not rush every foundation move. A card moved to a foundation may no longer be available to support a tableau sequence.
  • Plan beyond the next legal move. Because the board is fully visible, FreeCell rewards sequences of moves rather than isolated moves.

The game's planning character is reflected in AI research: evolutionary FreeCell solvers have been evaluated on search nodes, solution time, solution length and performance over the Microsoft 32K benchmark set.[7]

Variants

FreeCell has several close relatives and rule variants. Common names include Baker's Game, Eight Off, Seahaven Towers, ForeCell and Double FreeCell. Variants may change the number of cells, tableau-building rules, empty-column restrictions or the number of decks.

Research and computing

FreeCell has been used as a benchmark for search and automated planning because the complete position is visible and legal moves can be represented explicitly. Helmert's analysis placed FreeCell within the standard benchmark domains of classical AI planning,[6] while later work by Achiya Elyasaf, Ami Hauptman and Moshe Sipper used evolutionary methods to design FreeCell solvers and reported results against the Microsoft 32K set.[7]

The game has also appeared in cognitive-computing research. Oregon Health & Science University described research using FreeCell performance as a way to observe planning and other aspects of executive function in longitudinal monitoring systems.[8]

Playing FreeCell online

FreeCell is available in many browser-based implementations, ranging from dedicated FreeCell sites to larger solitaire collections. In September 2026, technology publication BestForAndroid published a hands-on comparison after testing at least twenty deals on each of five browser implementations using two Android devices. The five sites were Solitaired, FreeCell.com, FreeCell Now, CardGames.io and Solitaire Bliss.[9]

Feature descriptions in this table are drawn from the same independent comparison source.[9]
Site Format Notable features Best suited to
Solitaired[9] Solitaire collection Daily challenge, leaderboards, statistics and mobile-oriented play Players who want progression and tracked statistics
FreeCell.com[9] FreeCell-focused Multiple variants, difficulty settings, daily and timed challenges Players who want variant depth and adjustable difficulty
FreeCell Now[9] FreeCell-focused Classic numbered deals, Daily Challenge, Rescue Puzzles, hints and unlimited undo Players replaying specific numbered deals or short puzzle formats
CardGames.io[9] Multi-game portal FreeCell alongside a broader catalogue of card games and cross-platform apps Players who rotate between several card games
Solitaire Bliss[9] Solitaire collection Custom card faces, backgrounds, statistics and a daily deal Players who value visual customisation, particularly on larger screens

This is a list of notable browser implementations, not a permanent universal ranking. Features and commercial terms can change; the cited comparison reflects its September 2026 testing.[9]

References

  1. Gardner, Martin. “Mathematical Games: Combinatorial possibilities in a pack of shuffled cards.” Scientific American, Vol. 218, No. 6, June 1968, p. 112. DOI: 10.1038/scientificamerican0668-112. Major publication / historical source
  2. University of Illinois. “PLATO.” Illinois Distributed Museum. University / institutional source
  3. Cronin, Dennis. “Interview with Paul Alfille.” Freecell.net, 4 May 2000. Primary interview
  4. Kaye, Ellen. “One Down, 31,999 to Go: Surrendering to a Solitary Obsession.” The New York Times, 17 October 2002. Major newspaper
  5. Xbox Game Studios. “Microsoft Solitaire Collection.” Microsoft / Xbox. Primary platform source
  6. Helmert, Malte. “Complexity results for standard benchmark domains in planning.” Artificial Intelligence, Vol. 143, Issue 2, 2003, pp. 219–262. DOI: 10.1016/S0004-3702(02)00364-8. Peer-reviewed research / Elsevier
  7. Elyasaf, Achiya; Hauptman, Ami; Sipper, Moshe. “Evolutionary Design of FreeCell Solvers.” IEEE Transactions on Computational Intelligence and AI in Games, Vol. 4, No. 4, 2012, pp. 270–281. DOI: 10.1109/TCIAIG.2012.2210423. Peer-reviewed research / IEEE
  8. Oregon Health & Science University, Department of Medical Informatics and Clinical Epidemiology. “Tracks — Graduation 2005.” Discussion of FreeCell-based monitoring of planning and cognitive performance. Academic medical institution
  9. Hussain, Farzan. “5 FreeCell Websites That Are Actually Worth Playing.” BestForAndroid, updated 5 September 2026. The publisher states that each site was tested for at least twenty deals on a Pixel 8a and Galaxy A55 and rechecked for current features. Independent comparative source
  10. MobilityWare. “What is the Numbered Deal game mode?” FreeCell Help Center. Primary implementation documentation