A computer-implemented method for operating a fantasy sports system permits the drafting of non-active players. The non-active players can be draft alongside active players, or a team or even a league can be comprised of exclusively non-active players. Fantasy points are generated for each of the non-active players by randomly selecting a plurality of historical plays by each non-active player from a database of historical plays. A total fantasy score for each fantasy team is generated based upon the fantasy points for each of the non-active players.

A system and method for dynamically valuating players during a fantasy draft are disclosed. In one embodiment, a method comprises storing, in an electronic device, a list of players, each player associated with a base value, receiving one or more player sections, and determining one or more adjusted values for a respective one or more particular players based at least in part on the base values of the particular players and the player selections.

A first list of available players is provided to each individual user who then selects a first fantasy lineup, where selections by another individual user does not preclude other individual users from also selecting the same player. First fantasy lineups are received from each individual user, the fantasy lineups comprising one or more players selected from the first list of available players. Each individual user may provide a replacement lineup prior to the end of a game. A subsequent list of available players is provided to each user and does not include players from the first fantasy lineup. Subsequent fantasy lineups from each individual user are received comprising only players selected from the subsequent list of available players. None of the players of the first fantasy lineup for an individual user is included in any subsequent fantasy lineup of the individual user.

Systems and methods of conducting a fantasy sport contest are disclosed. According to some embodiments, the fantasy sport contest is provided for participants to join. The fantasy sport contest includes one or more fantasy teams where each fantasy team includes a multiplicity of real-life players. A player adjustment value (PAV) is determined for each of the real-life players. Accumulated statistics of the real-life player during real-life games are converted into a baseline fantasy score according to a baseline scoring system. The baseline fantasy score is adjusted according to the real-life player's PAV to produce an adjusted fantasy score of the real-life player.

The fantasy sports contest application of the present invention alerts the user of necessary roster changes before an upcoming fantasy sports competition. The fantasy sports contest application may evaluate the user's team roster before an upcoming fantasy sports competition to ensure that all roster spots on the team roster are filled with athletes available for real-life competitions. The fantasy sports contest application may also identify roster changes and roster transactions that may be beneficial to a user's fantasy sports contest team roster. The fantasy sports contest application may recommend roster changes and roster transactions to the user by evaluating the performance of athletes using performance criteria. The performance criteria can be based on the past performance of athletes, either overall, or for certain situations. The performance criteria may be predefined by the system, user-editable, or any suitable combination thereof.

Disclosed are systems and methods for improving interactions with and between computers in content generating, searching, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide systems and methods for automatic fantasy sports data analysis, including analysis of data to equalize player attractiveness in contestant composition of a fantasy sports team.

Systems and methods of conducting a fantasy sport contest are disclosed. According to some embodiments, the fantasy sport contest is provided for participants to join. The fantasy sport contest includes one or more fantasy teams where each fantasy team includes a multiplicity of real-life players. A player adjustment value (PAV) is determined for each of the real-life players. Accumulated statistics of the real-life player during real-life games are converted into a baseline fantasy score according to a baseline scoring system. The baseline fantasy score is adjusted according to the real-life player's PAV to produce an adjusted fantasy score of the real-life player.

Methods and systems of managing a fantasy sports league, and more particularly, a fantasy sports league that can utilize initial and current team values associated with each real sports team for determining which teams are allowed on a participant's roster and for determining each participant's accumulated points total during a league season.

Aspects of the disclosure include a method of providing a fantasy sports application, the method comprising acts of determining, for a first athlete, a first modifier based on an expected performance of the first athlete, determining, for the first athlete, a raw score value based on a performance of the first athlete in a sporting event, determining, for the first athlete, a modified score value based on the first modifier and based on the raw score value, and awarding the modified score value to at least one user of the fantasy sports application.

Disclosed are a method and system for managing a team by automatically recommending a position and trainer for a player in a sports game. The method may include processing the progress of a sports game instance for a user team in which at least one player character assigned to a user participates in a sports game, generating a game record including record values according to the progress of a game for each position and for each record item in the sports game with respect to the sports game instance performed on the user team, extracting at least one of the record items of the sports game as a vulnerable element of the user team based on the game record, determining a vulnerable position based on the at least one record item extracted as the vulnerable element of the user team, and providing information on the vulnerable position.