## 1 Introduction  
Basketball is a physically demanding sport that involves high-intensity movements such as jumps, cuts, sprints, quick direction changes, and defensive maneuvers [1, 2]. These repeated actions over time can lead to overuse injuries, such as stress fractures, tendinitis, and muscle strains, if not adequately controlled in players [3, 4]. Load monitoring in basketball allows for understanding and manipulating factors such as training volume, intensity, and recovery to optimize performance and minimize the risk of injuries and fatigue [5, 6]. [PERSON] and [PERSON] [7] highlighted that excessive training load and inadequate recovery can increase the risk of injuries in basketball players. To mitigate these effects, it is necessary to implement proper load monitoring by scientifically establishing the ranges of internal and external load to which players will be exposed during training processes [8]. Load monitoring helps personalize training programs to satisfy the specific needs of each player. Not all players have the same physical and physiological capacities, injury history, or recovery ability, as well as varying levels of skill and athletic capacity. Furthermore, the load is conditioned by the functions and actions performed by players based on their specific positions [9; 10]. By controlling and adjusting the load according to individual characteristics, coaches can ensure that each player's training is appropriate for their level and help them reach their full potential. The personalization of load should be based on knowledge of the demands imposed by competition [11; 12; 13]. [PERSON] et al. [14] stated that the personalization of external and internal load thresholds allows for tailoring training to the specific characteristics of each player, optimizing physiological adaptation, and enhancing individual performance by adjusting training volume and intensity according to their specific needs, thereby improving physical performance [15; 16] and technical-tactical skills [17; 18]. The mechanical and locomotor stress endured by athletes during training or competition is considered as the external load [19], which can be measured through kinematic variables (speeds, accelerations, decelerations, distances, etc.) that allow us to know the work ranges, or through neuromuscular variables (impacts, Player Load, Power Metabolic) that allow us to identify the accumulated load. In the case of basketball, it is known that several methodological factors (such as the instrument used to measure, the study design including or not warm-ups, or game breaks), and external factors (such as playing position, gender, competition level, or age category) condition the training and competition load [20; 21; 22]. Therefore, samples should be individualized and specified according to the factors mentioned above to obtain a better understanding of data collection. For the monitoring of internal and external load, there are different subjective and objective methods which coaches use depending on their knowledge and availability of economic resources. Among the subjective methods for internal load control, the most commonly used is the Rating of Perceived Exertion (RPE) method [23], while for external load it is the Integral System for Task Analysis (SIATE) [24]. The use of objective methods requires equipment that sometimes has a high cost, limiting its use by some coaches. For internal load monitoring, heart rate bands are used to obtain different metrics on heart rate or to calculate load values such as Banister's TRIMPs [23]. The use of state-of-the-art inertial devices, IMUs, based on the recording of the athlete's positioning and accelerometry monitoring [25] is the most widely used method at present. These devices allow obtaining multiple objective external load variables of kinematic, neuromuscular, and tactical nature via their ability to record the movements of the athletes through the field of play and the interaction between them [26].