Disclosed is system and method for measuring the tension of a tennis net, and, alternatively or in addition, for determining if a service let occurs via the measuring of the net tension. The disclosed embodiments measure a force exerted on the center-strap or the singles stick by the net. In these embodiments, the measured force provides an accurate reflection of the tension of the net.

An athletic training system has a data recording system and a data engine. The data recording system is configured to record an athletic competition event. The event may have a first team of players competing against a second team of players. The data engine is configured to receive data associated with the recorded athletic competition event. The data engine processes the data and displays the data as a replay of the event in animated form.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for a basketball backboard. The basketball backboard includes a display screen, a plurality of sensors configured to generate sensor data regarding a shot attempt of a user, imaging devices configured to generate image data of the shot attempt, a speaker, and a control unit. The control unit can receive (i) the sensor data from the plurality of sensors and (ii) the image data from the imaging devices. Based on the received sensor data, the control unit can determine whether the shot attempt was successful. Based on the received image data and whether the shot attempt was successful, the control unit can generate analytics that indicate characteristics of the user and the shot attempt and recommendations for improving the shot attempt for subsequent shot attempts. The control unit can provide output data representing the analytics.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for a basketball backboard. The basketball backboard includes a display screen, a plurality of sensors configured to generate sensor data regarding a shot attempt of a user, imaging devices configured to generate image data of the shot attempt, a speaker, and a control unit. The control unit can receive (i) the sensor data from the plurality of sensors and (ii) the image data from the imaging devices. Based on the received sensor data, the control unit can determine whether the shot attempt was successful. Based on the received image data and whether the shot attempt was successful, the control unit can generate analytics that indicate characteristics of the user and the shot attempt and recommendations for improving the shot attempt for subsequent shot attempts. The control unit can provide output data representing the analytics.

A ball game apparatus in which movements of a coded ball are detected by detector units and an automatic indication of a player’s score is given, where data relating to the ball are stored in a database connected to the detector units, the data including the code of a ball and a code relating to a player to whom the ball has been allocated, the ball being configured to temporarily store, and to intermittently transfer to the detector units and thence to the database, data relating to the ball’s movements. A rechargeable battery is contained within the ball, and is arranged to be charged by a battery charging system. Features of the game may be controlled by means of a player’s mobile telephone.

A cricket sensor may include one or more first image-capturing sensors configured to capture image data of a pitching motion of a bowler and image data of an initial motion of a cricket ball at a bowling end of a cricket field. The cricket sensor may include one or more second image-capturing sensors configured to capture image data of a trajectory and a flight path of the cricket ball towards a batting end of the cricket field. The cricket sensor may also include one or more first radar sensors configured to capture radar data describing one or more initial launch parameters of the cricket ball related to the trajectory and the flight path of the cricket ball towards the batting end of the cricket field.

The tennis self-training system according to an embodiment of the present invention comprising a control device comprising recording unit configured to record a tennis game and a processor configured to analysis the tennis game based on a video obtained from the recording unit; and a ball machine unit configured to move and launch a ball according to the instructions of the control device; wherein the control device is configured to: determine the position of a player and the position of the ball machine unit based on the video, predict a falling position of the ball hit by the player based on the video, calculate a ball launch position and a ball arrival position of the ball machine unit based on the position of the player and the falling position of the ball, generate a control signal related to the ball launch position and the ball arrival position, transmit the control signal to the ball machine unit, wherein the ball machine unit is configured to: receive the control signal from the control device, move to the ball launch position indicated by the received control signal, and launch the ball to the ball arrival position indicated by the received control signal.

Detectors and related systems and methods for automatically detecting made and missed basketball shots using ultrasonics are provided. A launcher is connected to a structural subassembly and passes basketballs to locations about a basketball playing area having a basketball goal. A detector having at least one ultrasonic sensor is selectively positioned below and adjacent to a rim of the basketball goal and transmits bursts of ultrasonic signals. A processor monitors for reflections of the transmitted bursts occurring within a specified time period after transmission excluding an initial time period and time after the specified time period, and records a made shot where reflections of the transmitted bursts are detected within the specified time period. An accelerometer may optionally be included for determining if the made shot was a swish.

Provided is a device for pitch detection within user-defined zones. The device detects a first gesture at a first height based on first output from all or some sensors, and detects a second gesture at a second height based on second output from all or some sensors. The device sets a top and bottom of the user-defined zone based on the first height and the second height, and tracks a location of an object relative to the user-defined zone based on third output, from a subset of sensors, that is generated in response to the object moving over or under the subset of sensors. The device discards output generated from two or more sensors that are not adjacent, measurements from adjacent sensors that differ by more than a distance threshold, and/or output from adjacent sensors with timestamps that differ by more than a time threshold.

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.