Decision trees can be used to analyze probabilities in lottery games by splitting data based on specific criteria, such as the occurrence of certain numbers or combinations in past draws. The tree structure creates branches that represent different possible outcomes, with each branch showing the probability of those outcomes based on historical patterns. However, because lottery draws are random, the predictive power of decision trees in this context is limited. They can highlight trends or frequencies in past data but are not effective for predicting future results.