Abstract: A wagering tool, system or method that allows a player to make skill-based bets on a wide range of sporting events includes the following modules: (a) pricing, which provides the odds on the various competitors, (b) historical event, which stores relevant information pertaining to prior sporting events of the same type that the player is considering placing a bet, (c) forecast, which analyzes prior, similar sporting to determine: (i) similar prior events to the upcoming sporting event, (ii) the shared characteristics of the winners' of these prior events, (iii) the percentage probability that each competitor will win, (d) WIN/Odds, which identifies available “value bets” in the upcoming sporting event, (e) score generation, which rank orders available bets on a “value index” scale, (f) derivative, which identifies bets that could be of special interest; along with a searchable index database, which stores the outputs of the system's various modules and continually updates them; and a user interface that is co

Abstract: A method of simulating, on a computer, the activities of a virtual sports league, includes the steps of creating: (a) virtual sports participants, each of which includes a participant statistic that serves to define the performance level of a sports participant, (b) virtual sports teams, each of which has roles for the method's users of virtual team manager, owner, and sports agents, (c) a virtual sports league that includes a season schedule of games between these teams, and (d) formulating the outcome of each of these virtual games to determine the seasonal standings of the teams within the league.

Abstract: A method of compiling performance metrics for racing competitors by analyzing videos of the competitors' prior races, includes determining: (a) the GPS coordinates of race track landmarks that appear in the videos, (b) within each of the videos' images, the position and orientation of a part for each of the competitors, (c) for each of the videos' images, the camera's extrinsic and intrinsic parameters, (d) the path of each of the competitors from the race's starting line to its finish line, (e) for each of the videos' images, the GPS coordinates of the part for each of the competitors, and (f) using the camera's frame rate, the performance metrics for each of the racing competitors.

Abstract: A method of compiling performance metrics for racing competitors by analyzing videos of the competitors' prior races, includes determining: (a) the GPS coordinates of race track landmarks that appear in the videos, (b) within each of the videos' images, the position and orientation of a part for each of the competitors, (c) for each of the videos' images, the camera's extrinsic and intrinsic parameters, (d) the path of each of the competitors from the race's starting line to its finish line, (e) for each of the videos' images, the GPS coordinates of the part for each of the competitors, and (f) using the camera's frame rate, the performance metrics for each of the racing competitors.