An Internet game for recording and transmitting the activity of each group of golfers participating in a golf tournament at a tournament site and permitting contest players to win points in the game by accurately predicting the golfers who will shoot par during the last round of the golf tournament. In preferred embodiments the game is designed to increase public interest in the game of golf and in the best golfers in the world and provide to the entire world a system and method for providing a real time view of every golf shot in the final day of golf tournaments such as the weekly PGA golf tournaments.

Described is a system for scoring a golf game based on individual plays. The system scores a golf game based on an ideal/perfect/maximum score and establishes the “perfect score” as 54 points based on a 3 point maximum number of points per hole over 18 holes. On approach to a par-4 or par-5 hole, the system rewards a player with one point if the player succeeds in hitting the fairway from the tee. A player receives 1 point for hitting the green in regulation. If the player is targeting a par-3 hole, the system rewards the player with 2 points if the player's first shot from the tee lands on the green. At any hole, another point is awarded to a player if the player, while on the green, successfully executes a 1-putt. A player who successfully executes these plays for 18 holes achieves the maximum score of 54 points.

A method includes providing a first video file to a plurality of exercise machines, the first video file including content associated with an exercise class. The method also includes receiving user data from the plurality of exercise machines, the user data including respective settings associated with a common performance metric. In such a method, the respective settings are used on the plurality of exercise machines during playback of a particular part of the first video file. The method also includes identifying a timestamp associated with the particular part of the first video file, and generating an executable control corresponding to the performance metric. The method further includes generating a second video file comprising the content and the executable control. In such methods, playback of the second video file causes display of the executable control at a part of the second video file corresponding to the timestamp.

The present disclosure relates to system and method for coordinating and providing overall feedback for one or more users performing one or more physical activities at one or more locations. The feedback may be generated as AI feedback or human feedback. The method involves data capturing and coordinating the physical activities of the multiple users. The information to be captured is regarding performance activity of the multiple users and processing the same information in real time using AI assisted model. The method includes comparing each user's activity performance data including various performance parameters having a set of target activity performance parameters. The method includes generating feedbacks based on the comparison of the performance parameters. The feedbacks generated are shared with the users and rendered on the multimedia output device available to the users. The method includes sending the feedback to external portals via corresponding Application Programming Interfaces (APIs).

A basketball launching system for recording shooting statistics in association with locations other than passing locations. Controller(s) receive data from a user interface indicating selection of a pass location and one or more shooting locations which are spaced apart from the pass location and program a launching device to pass basketballs to a location at a basketball playing area corresponding to the selected pass location and record shooting performance information in association with an associated one of the selected shooting locations for each respective one of the passes.

A personalized training system to perform operations that include: receiving a score that corresponds with a content identifier from a user account, the score comprising at least a value that comprises an attribute; accessing a user profile associated with the user account, the user profile indicating a cohort associated with the user account; identifying a set of scores within a leaderboard associated with the content identifier based on the cohort associated with the user account; determining a first ranking of the score associated with the user account among a portion of the set of scores based on at least the attribute of the score; and determining a second ranking of the user account among a subset of the portion of the set of scores based on the value of the score.

A method of generating an outcome for a sporting event is disclosed herein. A computing system retrieves tracking data from a data store. The computing system generates a predictive model using a deep neural network. The one or more neural networks of the deep neural network generates one or more embeddings comprising team-specific information and agent-specific information based on the tracking data. The computing system selects, from the tracking data, one or more features related to a current context of the sporting event. The computing system learns, by the deep neural network, one or more likely outcomes of one or more sporting events. The computing system receives a pre-match lineup for the sporting event. The computing system generates, via the predictive model, a likely outcome of the sporting event based on historical information of each agent for the home team, each agent for the away team, and team-specific features.

A computer-implemented American soccer training and evaluation method that includes subjecting a drilling user to predefined drilling protocol(s) of a plurality of American soccer drilling assemblies and obtain, from each pre-defined drilling protocol(s) of the plurality of American soccer drilling assemblies and from at least one sensor on each of the assemblies, at least one user physical characteristic of the drilling user. The user physical characteristic is communicated to an administrative server over a network, where it is stored and used to create a drilling user performance profile having individualized performance comparisons with respect to the at least one user physical characteristic of the drilling user and a performance benchmark. Then, the drilling user performance profile is communicated to at least one of a plurality of electronic computing devices of a plurality of consuming users for evaluation and review.

A method for forecasting skill importance for a golf tournament includes the steps of identifying the golf course where an upcoming golf tournament is to be played; determining that the golf course is the same as the golf course where a prior golf tournament was played; analyzing the results of the previous golf tournament at the golf course to arrive at an initial result of golf skills that are important for a competitor's success at a golf tournament at that golf course; adjusting the initial result based on the strength of the field of competition in the prior golf tournament to arrive at an adjusted result; using the adjusted result to determine the golf skill or golf skills most likely to be a predictor of success at that golf course; comparing the competitors expected to compete in the upcoming golf tournament to identify the competitor or competitors in the upcoming golf tournament that are presently or historically performing relatively well in the determined golf skill or golf skills most likely to be a predictor of success at that golf course; and making a wager, suggesting a wager, or the like, for the upcoming golf tournament on one or more of the identified competitors. Similarly, a player can be identified as performing relatively poorly in the determined golf skill.

A method includes receiving electronic content via a network, the electronic content comprising an exercise class, and receiving user data associated with a user participating in the exercise class using an exercise machine. The method also includes generating an executable control for a user interface based at least in part on the user data, and providing the executable control, via a display of the exercise machine, while the user is participating in the exercise class. In such a method, the executable control is operable to modify a parameter of the exercise machine while the user is participating in the exercise class.