One embodiment provides a method, comprising: training, using deep imitation learning, a neural network associated with a predetermined ghosting model to predict player movements for at least one player during at least one sequence in a game; receiving, at an information handling device, tracking data associated with a player movement path for at least one player during the at least one sequence; analyzing, using a processor, the tracking data to determine at least one feature associated with the at least one player at a plurality of predetermined time points during the at least one sequence; and determining, using the predetermined ghosting model and the at least one feature, a ghosted movement path for the at least one player beginning from one of the plurality of predetermined time points. Other aspects are described and claimed.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method, comprising: training, using deep imitation learning, a neural network associated with a predetermined ghosting model to predict player movements for at least one player during at least one sequence in a game; receiving, at an information handling device, tracking data associated with a player movement path for at least one player during the at least one sequence; analyzing, using a processor, the tracking data to determine at least one feature associated with the at least one player at a plurality of predetermined time points during the at least one sequence; and determining, using the predetermined ghosting model and the at least one feature, a ghosted movement path for the at least one player beginning from one of the plurality of predetermined time points. 2. The method of claim 1, further comprising providing, on at least one display screen, a visualization of positional differences between the player movement path and the ghosted movement path. 3. The method of claim 2, wherein the providing comprises providing the visualization of the positional differences as an overlapped image. 4. The method of claim 2, further comprising adjusting at least a portion of the visualization responsive to receiving user adjustment input. 5. The method of claim 1, wherein the predetermined ghosting model is selected from the group consisting of a league average ghosting model, a team-specific ghosting model, and a player-specific ghosting model. 6. The method of claim 1, wherein the at least one feature is selected from a group consisting of a distance between the at least one player and at least one other player in the game, and an angle of the at least one player to a game object. 7. The method of claim 1, wherein the at least one sequence corresponds to a predetermined time interval in the game. 8. The method of claim 1, wherein the at least one player comprises a team of players. 9. The method of claim 1, wherein the determining comprises continuously determining the ghosted movement path for the at least one player. 10. The method of claim 1, wherein the determining is further based upon one or more context metrics associated with the at least one player. 11. An information handling device, comprising: a processor; a memory device that stores instructions executable by the processor to: train, using deep imitation learning, a neural network associated with a predetermined ghosting model to predict player movements for at least one player during at least one sequence in a game; receive tracking data associated with a player movement path for at least one player during the at least one sequence; analyze the tracking data to determine at least one feature associated with the at least one player at a plurality of predetermined time points during the at least one sequence; and determine, using the predetermined ghosting model and the at least one feature, a ghosted movement path for the at least one player beginning from one of the plurality of predetermined time points. 12. The information handling device of claim 11, wherein the instructions are further executable by the processor to provide, on at least one display screen, a visualization of positional differences between the player movement path and the ghosted movement path. 13. The information handling device of claim 12, wherein the instructions executable by the processor to provide comprise instructions executable by the processor to provide the visualization of the positional differences as an overlapped image. 14. The information handling device of claim 12, wherein the instructions are further executable by the processor to adjust at least a portion of the visualization responsive to receiving user adjustment input. 15. The information handling device of claim 11, wherein the predetermined ghosting model is selected from the group consisting of a league average ghosting model, a team-specific ghosting model, and a player-specific ghosting model. 16. The information handling device of claim 11, wherein the at least one feature is selected from a group consisting of a distance between the at least one player and at least one other player in the game, an angle of the at least one player to a game object, fatigue of the at least one player, speed of the at least one player, and skill level of the at least one player. 17. The information handling device of claim 11, wherein the at least one sequence corresponds to a predetermined time interval in the game. 18. The information handling device of claim 11, wherein the instructions executable by the processor to determine comprise instructions executable by the processor to continuously determine the ghosted movement path for the at least one player. 19. The information handling device of claim 11, wherein the instructions are further executable by the processor to determine a series of subsequent movements required by the at least one player to match the player movement path to the ghosted movement path. 20. A product, comprising: a storage device that stores code, the code being executable by a processor and comprising: code that trains a neural network associated with a predetermined ghosting model to predict player movements for at least one player during at least one sequence in a game; code that receives tracking data associated with a player movement path for at least one player during the at least one sequence; code that analyzes the tracking data to determine at least one feature associated with the at least one player at a plurality of predetermined time points during the at least one sequence; and code that determines, using the predetermined ghosting model and the at least one feature, a ghosted movement path for the at least one player beginning from one of the plurality of predetermined time points. 21. An information handling device, comprising: a processor; a memory device that stores instructions executable by the processor to: receive, on a display screen of the information handling device, user sketch input corresponding to offensive player positions and offensive player movement paths; receive activation input to animate the user sketch input, wherein the animation of the user sketch input comprises movement of the offensive players along the offensive player movement paths; determine, using a predetermined ghosting model, ghosted movement paths for defensive players based on the offensive player positions and the offensive player movement paths; and provide, based on the determining, a visualization of the defense players executing the ghosted movement paths responsive to the offensive player movement paths.