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A sports simulation game is a genre of tabletop and computer game that attempts to reproduce the outcomes, strategies, and statistical characteristics of real-world sports. Unlike arcade-style sports games, sports simulation games emphasize realism through probability models, player ratings, historical statistics, and authentic managerial decision making. Sports simulation games may recreate individual contests, entire seasons, or historical leagues, and often allow users to replay actual sporting events or explore hypothetical matchups.
The genre includes traditional tabletop games that use player cards, dice, and charts to resolve plays, as well as computer-based simulations that automate statistical calculations and game management. Baseball, American football, basketball, ice hockey, soccer, golf, and horse racing have all been represented by sports simulation games.
Sports simulation games emerged during the mid-20th century as tabletop games designed to reproduce the statistical performance of real athletes. Early publishers developed systems that used probability tables, player ratings, and dice to model sporting events. As personal computers became widespread during the 1980s and 1990s, many tabletop concepts were adapted into computer simulations, while new software expanded the complexity of season management, statistical analysis, and artificial intelligence.
Common characteristics of sports simulation games include:
Tabletop simulations typically use player cards, dice, charts, or other randomization methods to determine the outcome of each play while allowing the participants to make managerial decisions.
Computer simulations automate game resolution while providing roster management, statistical tracking, artificial intelligence, and league administration. Some titles focus primarily on management, while others simulate every play of a game.
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