Effect of Situational and Individual Factors on Training Load and Game Performance in Liga Femenina 2 Basketball Female Players
Metadata
Show full item recordEditorial
MDPI
Materia
Basketball Competition Training load Situational variables Female Individual performance
Date
2022-08-01Referencia bibliográfica
Piñar, M.I... [et al.]. Effect of Situational and Individual Factors on Training Load and Game Performance in Liga Femenina 2 Basketball Female Players. Appl. Sci. 2022, 12, 7752. [https://doi.org/10.3390/app12157752]
Sponsorship
Regional Government of Extremadura (Department of Economy, Science and Digital Agenda) GR21149; Spanish National Agency of Investigation PID2019-106614GBI00Abstract
There is research that has shown how individual characteristics and performance indicators
influence the load in basketball; however, studies on the influence of situational variables on performance
are lacking. The aim of this study was to determine the influence of certain situational and
individual variables on the training load (weekly load, game load and pre-game recovery) and the
individual performance (statistical game evaluation) of female basketball players of Liga Femenina 2
during competition. The 28 games played by the 13 players of a group B team of the Liga Femenina 2
of the Spanish Basketball Federation (FEB) during the 2020/2021 season were analyzed. Data on rate
of perceived exertion (RPE), perceived performance and recovery were collected through the Quanter
mobile application as well as performance statistics from the FEB website. Five mixed linear analyses
for repeated measures were performed to evaluate the effect of each situational and individual
variable on each dependent variable (weekly load, game load, game RPE, pre-game recovery, and
game statistical assessment). The results show how the weekly load increases after playing against a
low-level opponent (p < 0.001). In games, the players who play the most minutes and accumulate
the most load are also the most valued (p < 0.001). The pre-game recovery worsens as the season
progresses (p < 0.001). After playing against a high-level opponent, the pre-game recovery values for
the next game are lower (p = 0.031). The results obtained indicate that the situational and individual
variables should be taken into account to monitor the workload. These results help coaches and
physical trainers to better plan training weeks, taking into account the situational variables studied.