Prediction Scheme

The prediction scheme used in FraudAI is smart and expandable on demand.

The prediction logic uses some static and other dynamic data, let's see together how this data fits together.

Static Data

Static data is what we call Historical Data. They are used for the User Bet History or the Pattern Notify and serve to fill a whole series of prediction functions.

The static data are mainly:

• Sports

• Match

• Market

• Runner

• Spread (if present)

This data is used to analyze and find fraud schemes compatible with the AI ​​model.

New features are already planned that will bring this data to have even more value and usefulness.

Dynamic Data

Dynamic data includes:

• User ID

• Amount

• Fixtures

This data makes up the core of the prediction services and it is absolutely necessary that they are as precise as possible. An amount with a difference of 0.1 can lead to a completely different result.

Model customization on request

If your platform or business needs different static or dynamic data than expected or needs additional data, we can make it on request. Send an email to [email protected].