This study examined how skill level differences influence the interplay between deterministic and stochastic elements in motor control, focusing on Bernstein's challenge of coordinating abundant degrees of freedom. Using a custom-designed device integrated with motion-capture technology, we compared haptic accuracy and kinematic trajectories between expert and novice performers. Comprehensive statistical and frequency-domain analyses revealed that experts exhibited a broader range of frequency components, indicating a more flexible and adaptive control strategy. In contrast, novices showed narrower frequency bandwidths and more predictable trajectories, reflecting a relatively rigid approach. These findings illustrate how structured predictability (deterministic control) and adaptive variability (stochastic exploration) interact to shape skilled performance patterns. The results highlight the potential benefits of practice strategies that systematically introduce controlled variability, ultimately promoting the unfreezing of additional degrees of freedom and facilitating expert-level proficiency.