LZ is popular because it's computationally efficient. When random memory access is slow but sequential access is fast, you want to encode substrings instead of individual symbols. Explicit higher-order probabilistic models require a lot of memory and generate too many cache misses. Implicit models based on the Burrows-Wheeler transform also have poor memory access patterns.