The term "Average-Case" refers to a scenario in which the performance or behavior of an algorithm is analyzed based on typical inputs, rather than the best or worst possible cases. This approach helps in understanding how an algorithm will perform under normal conditions, providing a more realistic expectation of its efficiency. In computer science, average-case analysis often involves calculating the expected time or space complexity of an algorithm, taking into account the distribution of possible inputs. This is particularly useful for algorithms like sorting or searching, where performance can vary significantly depending on the input data.