Proven Strategies...

The basis of sports handicapping is based upon mathematical and statistical computations that predict outcomes. Therefore, an equation-based method must be understood in a way that is not more difficult than our usual way of understanding but different from it. The difference is the advent of artificial intelligence. A. I.'s judgment is based on the data it's fed. Though A. I. is the processor of the information, S.G.C. defined many of its data points by examining the opening point spreads, money lines and totals of all four major sports from 1993 to present. S.G.C.'s understanding was fundamentally the Las Vegas opening numbers in the three statistical categories we charted were in fact the super set of data we wanted A.I. to grasp and correlate, then record subsequent results.

The mathematically formulated laws S.G.C. applies eliminates "data bias" which occurs when an algorithm is trained with poor or incomplete data which leads to faulty predictions.

The basis of our data is a series of subsets which S.G.C. calls the "probability function". It defines the mathematical dimensions of an event from the theoretical into a reality that is definable, taking multifaced potentiality and narrowing it to a result. SGC learned the results of sporting events are governed by an 80% mathematical formula in relation to the Las Vegas betting lines. That probability function has determined that the human factor accounts for a 20% variable in a given result, with another 5 to 10% applied to intangibles that are the result of direct human error / factors i.e. bad calls from referees, in-game injuries and once in a lifetime plays. To sum the process up in lay terms S.G.C.'s A.I. software takes in account proprietary information, intangibles regarding team personnel, statistics, and price cycles. In all S.G.C. encoded 7 subsets of data

When the software is tasked on a game-by-game basis to factor the 7 subsets of data with its original assignment of analyzing the results for over 3 decades of Las Vegas lines it produces a percentage possibility for the event to fall into one of the three statistical categories. It acknowledges over / under, money line, or point spread winners when any of those percentages comes in at 80% or greater the success ratio is consistently 60 to 62%.