Kasparov's Gambit
1-Click Install (Electronic Arts 1992) |
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The Game
Gambit was intended to have the capabilities of a champion level software and a teaching tool for a wide range of player levels. It was Electronic Arts' first use of windowed video showing digitized images, video and voice of champ Garry Kasparov giving advices and commenting on player moves
Game Features
Interactive tutorial with video-help by Garry Kasparov An inline glossary of chess terms A library of 500 famous games played by past world champions An auxiliary graphical chessboard showing the computer's analysis while playing or reviewing moves A interactive move list An analysis text box, showing move's elapsed time, depth, score of the best evaluated line and number of positions seek Multiple computer playing styles allowing creation and customization of computer opponents A coach window including the moves played and comments about apertures and advices, sometimes showing videos of Kasparov Rating System
The human strength rating is calculated using ELO formula with the included personalities and the one of player himself/herself, going from 800 to 2800 points. New players get a customizable 800 ELO, which changes according the total number of games played, opponents strength and result of game.Creation of personalities enables five adjustable characteristics in percentage (0-100%)—strength, orthodoxy, creativity, focus and aggresivness—which define, besides its style, its ELO rating. User ELO is calculated according to Gambit's universe of electronic players and user him/herself, thus do not match rankings in real world, instead this feature was designed to provide a useful way to measure player strength and progress against Gambit.
Teaching Tools
Besides 125 tutorials, written by renowned chess author and developer Eric Schiller, classified in openings, middle game, endgames (checkmates), tactics and strategy also include a Famous Games database, a list of all-time world champions games commented by Kasparov with a quiz option where user most choose the next move.
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