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Individualized Physical Performance Metrics in 3 × 3 Basketball Games Using Match-Play Data

  • Dimitrios Pantazis
  • , Christos Kokkotis
  • , Nikolaos Zaras
  • , Dimitrios Balampanos
  • , Alexandra Avloniti
  • , Theodoros Stampoulis
  • , Panagiotis F. Foteinakis
  • , Panteleimon Frazis Christou
  • , Georgios Papoulias
  • , Panagiotis Aggelakis
  • , Alexandros Dendrinos
  • , Konstantinos Chatzichristos
  • , Efstratios Nedeltsos
  • , Georgios Kaltsos
  • , Maria Protopapa
  • , Konstantinos Margonis
  • , Marios Hadjicharalambous
  • , Maria Michalopoulou
  • , Athanasios Chatzinikolaou
  • Democritus University of Thrace
  • Department of Physical Education and Sport Science

Research output: Contribution to journalArticlepeer-review

Abstract

3 × 3 basketball is a high-intensity intermittent sport practiced by both professional and recreational athletes. However, the use of predefined absolute thresholds to quantify external load may overlook meaningful inter-individual differences in movement intensity. This study examined internal and external load demands during official 3 × 3 match play using individualized, performance-based load zones. Seventeen male players were monitored across 38 valid match observations during a two-day tournament. External load was collected via inertial measurement units, while internal load was assessed through continuous heart-rate monitoring. Raw triaxial accelerometer data were processed in Python to remove gravitational components and reconstruct speed–acceleration profiles, allowing identification of individual acceleration, deceleration, and jump events. Statistical analyses were conducted using linear mixed-effects models with Bonferroni-adjusted post hoc comparisons to evaluate differences between absolute and individualized zones. Players sustained high physiological strain, operating at approximately 85–90% of HRmax, and performed frequent high-intensity mechanical actions. Individualized acceleration, deceleration, and jump zones yielded a more even dispersion of events across low-, moderate-, and high-intensity categories. In contrast, predefined absolute thresholds classified over 90% of events as low intensity, masking meaningful variability. These findings highlight substantial inter-individual differences in 3 × 3 match demands and support the use of individualized load profiling for accurate monitoring, performance evaluation, and training prescription.

Original languageEnglish
Article number2037
JournalApplied Sciences (Switzerland)
Volume16
Issue number4
DOIs
Publication statusPublished - Feb 2026

Keywords

  • acceleration
  • deceleration
  • external load
  • heart rate
  • IMU
  • individualized zones
  • intermittent sport
  • mechanical load
  • performance monitoring

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