The Brazilian Army has a simulator infrastructure for training helicopter operational maneuvers and has been performing qualitative studies of the simulator fidelity and the effectiveness of training programs. Motivated by the challenges of the Brazilian Army, this research focuses on measuring how the pilot perceives a maneuver execution in real and simulator environments by quantitative and subjective means. The proposed method is based on measurements of a low-level helicopter rocket shot maneuver of the pilot's mental workload with physiological sensors, subjective scales, and performance metrics. A statistical analysis of Z-transformed physiological data (respiration activity, electro cardiac activity, electrodermal activity, and ocular measures), NASA-TLX scale, and performance parameters (stability shot parameters and deviation of maneuver parameters) are presented for three pilots in a real environment and eleven pilots in the simulator environment. This work investigates whether a more challenging training program (stressor phase) can change pilot perception without any physical simulator change. Another evaluation compares how pilots with different experience levels perceive the simulation. Lastly, if there is any correlation between how the pilot perceives the simulation and the performance achieved in the maneuver. This work contributes to gathering the processing methods to analyze respiration, electro cardiac, electrodermal, and ocular activities, reinforcing the importance of Z-transforming physiological data to find relevant patterns. The method is valuable in analyzing a simulator maneuver based on the mental workload data, which can address improvements in a simulator, and changes in how training programs are structured. The stressor simulator phase can change how the pilot perceives the simulation without any physical simulator modification. Another finding is that the pilots with less experience generally have greater mental workload indications, which is important to define in which phase the simulation will achieve better results. Lastly, electrodermal activity is more sensitive to explaining performance variations that can indicate future work planning.