1. A game analysis system for providing a marketing guidance report for at least one evaluation game, comprising: a historical feature database storing collected historical feature data relating to features of at least a first and a second historical game, the historical feature data including an interaction of features and at least one of a time made available, a publisher, a developer, a title, a brand, a franchise, an absence of a feature, a feature frequency, and a restriction on content; and an analysis tool coupled with the historical feature database, and comprising a processor and computer readable memory storing software instructions, where the processor is configured to execute the software instructions that upon execution of the software instructions: collect market-related result set data to the first and the second historical games, the result set data including at least one of sales data, marketing data, and review data with respect to the first and second historical games; collect additional feature data on the at least one evaluation game; classify features of the historical games and the at least one evaluation game into classes according to a classification scheme having a hierarchy, where features having common attributes are within a same class; accepting user selection of at least a first feature from a first class and a second feature from a second, different class; derive a relationship between the first and a second user selected features selected from different classes with respect to the result set data by analyzing the market-related result set data, the historical feature data, and the additional feature data; generate at least one prediction with respect to at least one of the first and the second user selected features based on a trend analysis of the at least one relationship using clustered pattern recognition; present a marketing guidance report for the evaluation game, the report comprising the trend analysis of the at least one relationship between the first and the second user selected features with respect to the prediction.