Matrix games with time constraints are introduced. In a Markov chain model we compute the average intake of phenotypes. We present conditions for evolutionary stability in these games. We find stable strategies in two special cases derived from the prisoner's dilemma. Depending on the payoffs and time durations, a variety of stable strategies emerge.