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 analysis 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 approach is particularly useful for algorithms that may have varying performance depending on the input, such as sorting algorithms like QuickSort or MergeSort.