Currently, the number of women involved in sport is increasing. Although, research on their characteristics and performance is scarce. A great amount of research on men's basketball is available, but it is unknown if it can be applied to women's basketball. The objective of this research was to characterize the internal and external load performed by female basketball players during training and sports competition according to playing positions through inertial devices. The participants in the following study were 10 amateur basketball players who competed at regional level (21.7 ± 3.65 years; 59.5 ± 12.27 kg, and 168.5 ± 3.56). Data were collected in games of the final phase (n = 8) and from 5 vs. 5 training tasks (n = 47). All the analyses were run according to playing positions. Each player was equipped with a GarminTM Heart Rate Band and WimuTM inertial device that monitored physical activity and movement in real time. The results obtained showed that the load experienced during competition was significantly higher (p < 0.001) than during training (Heart Rate, Player Load, Steps, Jumps, and Impacts). There were also differences according to playing positions, mainly between the backcourt and frontcourt players (p < 0.001). The players must work in higher areas of heart rate during training, mainly in Z4 and Z5, increasing their HRmáx y HRavg. The training doesn't equal the load supported and the distance performed in competition, so it is necessary to pay more attention during training. This information allows us to develop adequate training protocols adjusted to the specific individual requirements of the sports competition.

La modalidad de juego de 3 vs. 3 en baloncesto es una nueva adaptación del baloncesto convencional (5 vs. 5) en auge. El objetivo de este trabajo consistió en describir los requerimientos de carga interna y externa que demandan ambas competiciones y, en segundo lugar, analizar las posibles diferencias existentes entre ellas. Dos grupos fueron analizados. Por un lado, 10 jugadoras pertenecientes a un equipo U21, el cuál disputó ocho partidos de liga regional en la modalidad cinco contra cinco (n=80). Por otro lado, ocho jugadoras pertenecientes a dos equipos U18 que disputaron tres partidos cada uno en el campeonato de España de la modalidad de tres contra tres (n=24). Se analizaron variables de carga interna: Frecuencia cardíaca media (HRAvg), máxima (HRMáx), % (%HRMáx) y zonas de intensidad (Z1, Z2, Z3, Z4, Z5, Z6); y variables de carga externa: Número de pasos, saltos e impactos por minuto a través del uso de inertial devices (IMUs). Las variables de HRAvg, %HRMáx, Z6, número de impactos y saltos por minuto fueron significativamente mayores en la modalidad de 3 vs. 3 (181,50 HRAvg frente a 171,16 ppm; 90,75 %HRMáx frente a 84,59 %; 85,16% en Z6 frente a 8,10%; 7,45 impactos por minuto frente a 1,65; y 4,50 saltos por minuto frente a 1,80). En el 5 vs. 5 se encontraron valores significativamente superiores en las zonas bajas e intermedias (Z1, Z2, Z3, Z4 y Z5) y en el número de pasos realizados por minuto (53,32 pasos por minuto frente a 44,40). Ambas modalidades tienen unas demandas diferentes en el juego y, por lo tanto, se deben prescribir entrenamientos específicos para cada modalidad, puesto que la competición también es diferente. Abstract. Three vs. three basketball is a new adaptation of conventional basketball (five vs. five) that is currently on the rise. The purpose of this study is to describe the internal and external load requirements demanded by both competitions and, in addition, to analyze the possible differences between them. Two study groups were analyzed. On the one hand, ten players belonging to a U21 team, who played eight regional league matches in the five vs. five modality (n = 80). On the other hand, eight players belonging to two U18 teams who played three matches each one in the three vs. three Spanish championship competition (n = 24). Internal load variables: Heat Rate mean (HRAvg), maximum (HRMáx), % (%HRMáx) and intensity zones; and external load variables: number of steps, jumps and impacts per minute were analyzed through the use of inertial devices (IMUs). The variables of HRAvg, % HRMáx, Z6, number of impacts and jumps were significantly higher in the 3 vs. 3 competition (181,50 HRAvg vs. 171,16 bpm; 90,75 %HRMáx vs. 84,59 %; 85,16% in Z6 vs. 8,10%; 7,45 impacts per minute vs. 1,65; y 4,50 jumps per minute vs. 1,80). In 5 vs. 5 significantly higher values were found in the low and intermediate zones (Z1, Z2, Z3, Z4 and Z5) and in the number of steps performed per minute (53,32 steps per minute vs. 44,40). Both modalities had different demands in the game and, therefore, specific training must be prescribed for each modality, since the competition is also different.

El objetivo del estudio fue identificar las relaciones entre carga de entrenamiento con variables emocionales y de rendimiento en baloncesto formativo. Los participantes fueron 82 jugadores y jugadoras (40 hombres y 42 mujeres) de categorías cadete (15 y 16 años) e infantil (13 y 14 años) con una edad media de 14,6 años. Se midió la carga interna con la Frecuencia Cardiaca Máxima (FCM), y la carga externa por medio de acelerometría, la inteligencia emocional, rendimiento percibido y variables relacionadas con el bienestar como la fatiga y dolor muscular. Los resultados mostraron que la FC está relacionada con una mayor percepción de rendimiento, así como la carga externa con la fatiga. La fatiga y el dolor muscular mostraron una fuerte relación entre ellas y, a su vez, con anotar menos puntos, menor percepción de rendimiento y con una regulación emocional negativa. El rendimiento percibido relacionó positivamente con todas las variables de la inteligencia emocional. Con estos datos, los entrenadores disponen de más recursos y conocimientos a la hora de planificar y diseñar las sesiones de entrenamiento lo que repercutirá en el rendimiento por parte de los deportistas. Se recomienda entrenar con intensidad sin llegar a percibir fatiga ni dolor muscular, así como desarrollar las variables de la inteligencia emocional. Abstract. The objective of the study was to identify the relationships between training load with emotional and performance variables in formative basketball. The participants were 82 players in the formative categories. Internal load, external load, emotional intelligence, perceived performance, and well-being-related variables such as fatigue and muscle pain were measured. The results show that heart rate is related to a higher perception of performance, as well as external load with fatigue. Similarly, fatigue and muscle pain had a strong relationship between them and, in turn, with less score in matches, less perception of performance and negative emotional regulation. The perceived performance relates positively to all the variables of emotional intelligence. With these data, the coaches have more resources and knowledge when it comes to planning and design the training sessions, which will improve performance by athletes. It is recommended to train with intensity without perceiving fatigue or muscular pain, as well as developing the variables of emotional intelligence.

El estudio de la planificación de las tareas se ha convertido en una de las líneas de investigación emergentes dentro del campo de la Pedagogía Deportiva. Por ello, el objetivo de este estudio fue analizar las variables pedagógicas de las tareas diseñadas por los profesores de pre-servicio para la enseñanza del baloncesto escolar en función de las fases del juego. Se han codificado 283 tareas diseñadas por 6 profesores en formación a través del Sistema Integral para el Análisis de las Tareas de Entrenamiento (SIATE). Se analizaron las variables pedagógicas que clasifica este sistema: situación de juego, parte de sesión, tipo de contenido I, tipo de contenido II, contenido específico, medio de enseñanza, nivel de oposición, tipo de participación y Feedback. Se realizó un análisis descriptivo e inferencial mediante la prueba Chi-Cuadrado, V de Cramer y los Residuos Tipificados Corregidos. Los resultados ponen de manifiesto la existencia de diferencias estadísticamente significativas (p<.05) en el diseño de las tareas para cada fase de juego con respecto a las variables pedagógicas, excepto en la variable tipo de contenido II, debido a que esta variable solo se categoriza cuando se trabaja la fase de juego mixta.  Por tanto, los maestros en fase de pre-servicio utilizan diferentes categorías de las variables pedagógicas en función de la fase de juego que quieren trabajar, siendo esta diferencia más significativa en la variable contenido específico (Vc= ,831; p=,000). The study of task planning has become one of the emerging research lines within the field of Sports Pedagogy. Therefore, the objective of this study was to analyze the pedagogical variables of the tasks designed by the pre-service teachers for teaching school basketball based on the phases of the game. 283 tasks designed by 6 teachers in training have been coded through the Integral System for the Analysis of Training Tasks (SIATE). The pedagogical variables classified by this system were analyzed: game situation, part of the session, type of content, specific content, teaching medium, level of opposition, type of participation and Feedback. A descriptive and inferential analysis was carried out using the Chi-Square test, Cramer's V test and the Corrected Typified Waste. The results show the existence of statistically significant differences (p <.05) in the design of the tasks for each game phase with respect to the pedagogical variables, except in the variable type II content, because this variable only It is categorized when working the mixed game phase. Therefore, teachers in the pre-service phase use different categories of pedagogical variables depending on the phase of play they want to work with, this difference being more significant in the specific content variable (Vc =, 831; p =, 000).