Analysing elite European basketball players’ performances according to travel demands, game schedule and contextual factors

This study evaluated the effects of travel demands, scheduling, and contextual factors on individual player performances in the top 10 European basketball teams across the 2020–2021 season. Game-related statistics were analysed (n = 8, 824 observations). Players were categorized into high, medium, and low status according to their average playing times. Hierarchical regression models evaluated the effects of distance travelled, hours since the previous game, contextual factors for the prior and current game, and playing position on performance indicators. Medium-status players collected fewer defensive rebounds (p = 0.009) and committed fewer fouls (p = 0.026), with more time between games. Further travelled distances were associated with reduced defensive rebounds (p = 0.017), alongside increased turnovers (p = 0.038) and 3-point shooting percentage (p = 0.032) in high-status players. After facing higher-level teams, high- and low-status players’ shooting worsened (p

Authors

Institutions

Publication Details

Journal
International Journal of Performance Analysis in Sport
Published
2024-10-19
DOI
https://doi.org/10.1080/24748668.2024.2418185
Citations
9
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
4.30
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysing elite European basketball players’ performances according to travel demands, game schedule and contextual factors

Miguel‐Ángel Gómez, Aaron Terrence Scanlan, Daniele Conte, Lorenzo Gasperi et al.
9 citations
International Journal of Performance Analysis in Sport
Sports Performance and Training
4.30
article

Analysing elite European basketball players’ performances according to travel demands, game schedule and contextual factors

Miguel‐Ángel Gómez, Aaron Terrence Scanlan, Daniele Conte, Lorenzo Gasperi, Pierpaolo Sansone
article en
9 citations

Abstract

This study evaluated the effects of travel demands, scheduling, and contextual factors on individual player performances in the top 10 European basketball teams across the 2020–2021 season. Game-related statistics were analysed (n = 8, 824 observations). Players were categorized into high, medium, and low status according to their average playing times. Hierarchical regression models evaluated the effects of distance travelled, hours since the previous game, contextual factors for the prior and current game, and playing position on performance indicators. Medium-status players collected fewer defensive rebounds (p = 0.009) and committed fewer fouls (p = 0.026), with more time between games. Further travelled distances were associated with reduced defensive rebounds (p = 0.017), alongside increased turnovers (p = 0.038) and 3-point shooting percentage (p = 0.032) in high-status players. After facing higher-level teams, high- and low-status players’ shooting worsened (p

International Journal of Performance Analysis in SportVol. 25(3)
Foro Italico University of Rome (IT), Universidad Católica de Murcia (ES), Central Queensland University (AU), Universidad Politécnica de Madrid (ES)
Openalex Percentile: Top 5%
Sports Performance and Training
4.30
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.