This study introduces a novel Momentum Score (MS) metric to measure player momentum in tennis tournaments at various levels.
HydraNet, a framework based on momentum-driven state-space duality, is designed to model the MS by incorporating thirty-two dimensions of athlete performance.
HydraNet includes a Hydra module that utilizes a state-space duality framework to capture both explicit and implicit momentum in matches.
Experimental evaluations show that HydraNet's MS metric offers valuable insights into how momentum influences match outcomes at different levels of granularity.