Probability allows predicting the most and least probable outcomes. However, the probability of an outcome is affected by the physical quantities that describe the universe. The certainty of a single outcome and uncertainties of many outcomes are determined by how uniformly a scalar field (i.e. Potential field, entropy, mass) is distributed over an entity. It is known that an increase in entropy increases the likelihood. In this paper, this knowledge is taken one step further to understand the likelihood of the possible outcomes within an entity which have either a uniform or non-uniform scalar field. Uniform scalar fields over an entity have net-zero scalar field value. An example of Uniform scalar fields over an entity is rolling an unloaded dice where every individual six outcomes have an equal likelihood. Uniform scalar fields over an entity are where most uncertainty occurs as all outcomes have an equal likelihood. The non-uniform scalar field over an entity is where there is most certainty towards a single outcome. For example, a loaded dice has the highest probability for a single outcome. The theoretical model created in this paper is based on two square six by 6 cm dice, where one die is loaded non-uniformly with different chemical molecules of different entropy and mass value and represented with contour lines in a contour map. Another dice is loaded uniformly with the same chemical molecule of the same entropy and mass all over the dice. As the distribution of the chemical molecule is uniform, this configuration represents an unloaded die. Neither entropy nor mass scalar fields alone are capable of determining the outcome of the dice alone. The outcome is also determined by the type of external force, energy acting on the entity (i.e. dice), and the definition of probability. All in all, the Important result is that regardless of the definition of probability, type of external force, energy, or internal scalar field within the entity, the most probable outcome, and the least probable outcome are determined and connected by the gradient of the scalar field (i.e. Gradient of Entropy, ∇ S ) within the entity.