Abstract: In an aspect, fantasy sports data is analyzed to generate and/or manage the delivery of and user experience of fantasy sports games and contests, including timing and payout structure(s) for short-term fantasy contests, such as daily, weekly, etc. fantasy sports contests, that motivate and appeal to contestants and is/are reasonably structured and concisely represented. In yet another aspect, a daily fantasy contest system is provided to automatically adjust to user demand without overshooting profitable levels and offer a variety of different contests, as well as offer contests with guaranteed and non-guaranteed payouts.

Abstract: In an aspect, fantasy sports data is analyzed to generate and/or manage the delivery of and user experience of fantasy sports games and contests, including timing and payout structure(s) for short-term fantasy contests, such as daily, weekly, etc. fantasy sports contests, that motivate and appeal to contestants and is/are reasonably structured and concisely represented. In yet another aspect, a daily fantasy contest system is provided to automatically adjust to user demand without overshooting profitable levels and offer a variety of different contests, as well as offer contests with guaranteed and non-guaranteed payouts.

Abstract: In an aspect, fantasy sports data is analyzed to generate and/or manage the delivery of and user experience of fantasy sports games and contests, including timing and payout structure(s) for short-term fantasy contests, such as daily, weekly, etc. fantasy sports contests, that motivate and appeal to contestants and is/are reasonably structured and concisely represented. In yet another aspect, a daily fantasy contest system is provided to automatically adjust to user demand without overshooting profitable levels and offer a variety of different contests, as well as offer contests with guaranteed and non-guaranteed payouts.

Abstract: In an aspect, fantasy sports data is analyzed to generate and/or manage the delivery of and user experience of fantasy sports games and contests, including timing and payout structure(s) for short-term fantasy contests, such as daily, weekly, etc. fantasy sports contests, that motivate and appeal to contestants and is/are reasonably structured and concisely represented. In yet another aspect, a daily fantasy contest system is provided to automatically adjust to user demand without overshooting profitable levels and offer a variety of different contests, as well as offer contests with guaranteed and non-guaranteed payouts.

Abstract: In an aspect, fantasy sports data is analyzed to generate and/or manage the delivery of and user experience of fantasy sports games and contests, including timing and payout structure(s) for short-term fantasy contests, such as daily, weekly, etc. fantasy sports contests, that motivate and appeal to contestants and is/are reasonably structured and concisely represented. In yet another aspect, a daily fantasy contest system is provided to automatically adjust to user demand without overshooting profitable levels and offer a variety of different contests, as well as offer contests with guaranteed and non-guaranteed payouts.

Abstract: In an aspect, fantasy sports data is analyzed to generate and/or manage the delivery of and user experience of fantasy sports games and contests, including timing and payout structure(s) for short-term fantasy contests, such as daily, weekly, etc. fantasy sports contests, that motivate and appeal to contestants and is/are reasonably structured and concisely represented. In yet another aspect, a daily fantasy contest system is provided to automatically adjust to user demand without overshooting profitable levels and offer a variety of different contests, as well as offer contests with guaranteed and non-guaranteed payouts.

Abstract: In an aspect, fantasy sports data is analyzed to generate and/or manage the delivery of and user experience of fantasy sports games and contests, including timing and payout structure(s) for short-term fantasy contests, such as daily, weekly, etc. fantasy sports contests, that motivate and appeal to contestants and is/are reasonably structured and concisely represented. In yet another aspect, a daily fantasy contest system is provided to automatically adjust to user demand without overshooting profitable levels and offer a variety of different contests, as well as offer contests with guaranteed and non-guaranteed payouts.

Abstract: In an aspect, fantasy sports data is analyzed to generate and/or manage the delivery of and user experience of fantasy sports games and contests, including timing and payout structure(s) for short-term fantasy contests, such as daily, weekly, etc. fantasy sports contests, that motivate and appeal to contestants and is/are reasonably structured and concisely represented. In yet another aspect, a daily fantasy contest system is provided to automatically adjust to user demand without overshooting profitable levels and offer a variety of different contests, as well as offer contests with guaranteed and non-guaranteed payouts.

Abstract: In an aspect, fantasy sports data is analyzed to generate and/or manage the delivery of and user experience of fantasy sports games and contests, including timing and payout structure(s) for short-term fantasy contests, such as daily, weekly, etc. fantasy sports contests, that motivate and appeal to contestants and is/are reasonably structured and concisely represented. In yet another aspect, a daily fantasy contest system is provided to automatically adjust to user demand without overshooting profitable levels and offer a variety of different contests, as well as offer contests with guaranteed and non-guaranteed payouts.

Abstract: A system and method for providing job recommendations based on user behavior or characteristics are disclosed herein. The job recommendations are configured in accordance with a data set based on relational analysis of previous users' activity, or matches between job postings and the user's resume or user profile information. The presentation of job recommendations is triggered, configured, and provided transparently to the user.

Abstract: An interface for displaying statistical information about players in an online fantasy sports game is provided. The interface includes a statistics generator for providing for display at least one description component that comprises at least a name of at least one player for viewing by a user. The statistics generator also provides at least one indicator for displaying a rendition of a statistic associated with the at least one player, where the statistic is based upon a percentage of teams for which the at least one player has a defined status in the fantasy sports game. The interface also includes an update component for providing for an update of the rendition of the statistic at one or more defined times, wherein the update component is operable to provide for display a value of the statistic determined at an update time, wherein the update time is based upon the one or more defined times.

Abstract: Methods and system include obtaining attributes of athletic players from one or more sources. The attributes define statistics of the athletic players. Minimum requirements are determined for teams organized in a group. A listing is generated for each team in the group. The listing includes a plurality of entries wherein each entry is configured to present attributes of an athletic player or a team that is part of the group. Select ones of the plurality of entries in the listing are static and select ones of the entries are dynamic. The entries that are static are used to provide minimum requirements defined for each team in the group and the entries that are dynamic are used to provide attributes of the teams or the athletic players. The dynamic entries are adjusted during a drafting process to provide current status of the teams and the athletic players.

Abstract: Disclosed is a trade evaluator for evaluating trades based on statistics of players to be traded, statistics of other players on each fantasy team, and settings of a fantasy league. A computer receives a request to analyze a trade of one or more players for one or more other players. The computer determines league settings and player statistics. For each player on the teams, the computer determines a position in a roster. The computer determines a highest value player for each position. If there is only one slot that can hold the highest ranked player still available to place, the computer fills the slot with that player. If there are multiple slots left, and each of those slots can also hold other player positions, the computer places the player in a slot with a lowest opportunity cost. The computer determines a point total for the teams with and without execution of the trade.

Abstract: Methods and system include obtaining attributes of athletic players from one or more sources. The attributes define statistics of the athletic players. Minimum requirements are determined for teams organized in a group. A listing is generated for each team in the group. The listing includes a plurality of entries wherein each entry is configured to present attributes of an athletic player or a team that is part of the group. Select ones of the plurality of entries in the listing are static and select ones of the entries are dynamic. The entries that are static are used to provide minimum requirements defined for each team in the group and the entries that are dynamic are used to provide attributes of the teams or the athletic players. The dynamic entries are adjusted during a drafting process to provide current status of the teams and the athletic players.

Abstract: Methods and system for presenting a plurality of attributes of a plurality of players from a plurality of teams that are part of a league includes obtaining a plurality of attributes of the plurality of players and the plurality of teams. The plurality of attributes of the plurality of the players and of the teams is populated in one or more databases along with any updates to these attributes. The databases are queried to retrieve updated plurality of attributes of the plurality of players and the plurality of teams. A roster grid is generated for the plurality of teams for rendering at a client in substantial real time. The roster grid displays the updated status of the plurality of attributes of the plurality of players and the plurality of teams simultaneously in a clean, concise and effective manner.

Abstract: An apparatus and method for providing up-to-date statistical information about fantasy sports players is disclosed herein. The volume and type of transactions made by a plurality of users regarding the fantasy sports players are used to generate at least one statistical value for respective players. The statistical values for respective players are provided in an online interface, providing ease of viewing of transaction activity regarding the players and/or facilitating a user's next transactions relative to the transaction activity of the plurality of users.

Abstract: Disclosed is a trade evaluator for evaluating trades based on statistics of players to be traded, statistics of other players on each fantasy team, and settings of a fantasy league. A computer receives a request to analyze a trade of one or more players for one or more other players. The computer determines league settings and player statistics. For each player on the teams, the computer determines a position in a roster. The computer determines a highest value player for each position. If there is only one slot that can hold the highest ranked player still available to place, the computer fills the slot with that player. If there are multiple slots left, and each of those slots can also hold other player positions, the computer places the player in a slot with a lowest opportunity cost. The computer determines a point total for the teams with and without execution of the trade.

Abstract: Disclosed is a trade evaluator for evaluating trades based on statistics of players to be traded, statistics of other players on each fantasy team, and settings of a fantasy league. A computer receives a request to analyze a trade of one or more players for one or more other players. The computer determines league settings and player statistics. For each player on the teams, the computer determines a position in a roster. The computer determines a highest value player for each position. If there is only one slot that can hold the highest ranked player still available to place, the computer fills the slot with that player. If there are multiple slots left, and each of those slots can also hold other player positions, the computer places the player in a slot with a lowest opportunity cost. The computer determines a point total for the teams with and without execution of the trade.

Abstract: Disclosed is a trade evaluator for evaluating trades based on statistics of players to be traded, statistics of other players on each fantasy team, and settings of a fantasy league. A computer receives a request to analyze a trade of one or more players for one or more other players. The computer determines league settings and player statistics. For each player on the teams, the computer determines a position in a roster. The computer determines a highest value player for each position. If there is only one slot that can hold the highest ranked player still available to place, the computer fills the slot with that player. If there are multiple slots left, and each of those slots can also hold other player positions, the computer places the player in a slot with a lowest opportunity cost. The computer determines a point total for the teams with and without execution of the trade.

Abstract: Methods and system for presenting a plurality of attributes of a plurality of players from a plurality of teams that are part of a league includes obtaining a plurality of attributes of the plurality of players and the plurality of teams. The plurality of attributes of the plurality of the players and of the teams is populated in one or more databases along with any updates to these attributes. The databases are queried to retrieve updated plurality of attributes of the plurality of players and the plurality of teams. A roster grid is generated for the plurality of teams for rendering at a client in substantial real time. The roster grid displays the updated status of the plurality of attributes of the plurality of players and the plurality of teams simultaneously in a clean, concise and effective manner.