Professional basketball is evolving towards playing more matches, reaching up to 90 games per season.1 Because of this, the players’ training should help them to endure training loads on a regular basis, reduce the injury risk, mitigate fatigue symptoms, as well as achieving an optimal performance throughout the season.
That is why, according to the team’s game style and the players’ characteristics, physical demands will vary, and personalised training focused on boosting the game’s particular aspects will be required. In other words, the demands of a team with a “slow and exploratory” style will be different from the demands of a team with a greater pace in the game, with the implications this entails at a physical level and in decision-making. In this sense, monitoring physical demands in both training sessions and matches have become an important task to prescribe and monitor training sessions.
Does a greater training load result in better performance?
Current workload monitoring technology provides coaches with objective information to periodise training and thus look for adaptations according to the individual demands of each player and the accumulated load. The use of inertial and positioning sensors allows them to accurately analyse the physical demands and relate them to other variables.
Historically, scientific literature has connected external load data with the risk of injury, to try and answer the following question: “Does a greater workload result in a lower injury incidence?” Instead, the relation between training load and game performance has not been examined yet.
In basketball, there are indicators that combining game-related statistics (for example. two-point shots, defensive rebounds, assistances, steals, blocks…) through sequential analysis and subsets of structural equations, allow to establish a performance marker. For example, two of the most used ones are WinScore2 or performance index, also known as PIR. A recent study published by members of FC Barcelona’s Performance Area, Jairo Vázquez-Guerrero and Martí Casals1 in the international Research in Sports Medicine magazine, in collaboration with researcher Jaime Sampaio from CIDESD – University of Trás-os-Montes e Alto Douro (Portugal), has been able to answer two important issues about which there is not much information yet:
- Which are the elite basketball players’ physical demands throughout a season according to their position?
- Does a greater external training load result in greater performance in the game?
With the aim of answering these questions, the study analysed the training session physical demands of a Euroleague basketball team by using WIMU PRO inertial and positioning sensors and connecting them with different performance indexes as well.
Through a group analysis, the performance was classified into three categories: high, medium, and low. In the same way, the workload was also classified into three categories: high, medium, and low. Also, other sub-analyses were carried out according to the game position, to be able to analyse the relationship between physical demands and performance:
- Point guard and shooting guard
- Power forward and centre
Undertaking a correspondence analysis, as seen in Figure 1a (point guards and shooting guards), a worse performance was related to a medium load (as they are in the same quadrant). Moreover, there was also correspondence between a low workload and a medium performance. On the other hand, high performance and high workloads were found to be independent of other categories as they stand in different quadrants. In other words, a match between higher workload and higher performance was not found for point guards and shooting guards.