Kolmogorov complexity measures the complexity of an object based on the length of the shortest possible description or algorithm that can produce it. In the context of betting patterns, it assesses how predictable or complex these patterns are by determining how concisely they can be described. If a betting pattern can be represented by a simple rule or formula, its Kolmogorov complexity is low.