Time-on-field distribution of soccer squads in the German U17 and U19 Bundesliga

Abstract Background A current reform in German youth soccer intends to promote individual talent development. The aim of our study was to investigate the distribution of time on the field (ToF) among a team’s squad members as a marker for a club’s strategies of talent development. Methods The study included 1176 teams comprising 33,483 players of the German U19 and U17 Bundesliga over a period of 16 years. We calculated a team’s Gini index and self-designed variables to characterize the ToF distribution across the players of a squad. Results On average, squads consisted of 29.9 (± 4.3) players, showing a partially increasing trend. The mean Gini index was 44.8% (± 5.9), indicating a rather uneven distribution among the squad members. Overall, 50% of the team’s available playing time was shared by 7.8 (± 0.6) players (variable NPL-50%PT). The 11 most fielded players received 73.1% (± 5.0) of the team’s playing time (variable %PT-11PL). We found significant correlations between these indicators and the team’s final rank in the season’s table for both U17 and U19 (all p < 0.001). A significant correlation between a club’s U17 and U19 teams for %PT-11PL suggests stable club strategies for the distribution of ToF. Conclusion The findings reflect club strategies of favoring short-term competitive success rather than long-term talent development under the previous competition structure. This underscores the necessity of the reform and highlights the importance of a thorough evaluation based on our benchmarks and methodological tools to prevent undesired side effects such as increasing squad sizes.

Authors

Institutions

Publication Details

Journal
German Journal of Exercise and Sport Research
Published
2025-12-11
DOI
https://doi.org/10.1007/s12662-025-01085-2
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Time-on-field distribution of soccer squads in the German U17 and U19 Bundesliga

Martin Lames, Bettina Schröpf, Claudia Augste, Michael T Koller
German Journal of Exercise and Sport Research
Sports Performance and Training
article

Time-on-field distribution of soccer squads in the German U17 and U19 Bundesliga

Martin Lames, Bettina Schröpf, Claudia Augste, Michael T Koller
article en

Abstract

Abstract Background A current reform in German youth soccer intends to promote individual talent development. The aim of our study was to investigate the distribution of time on the field (ToF) among a team’s squad members as a marker for a club’s strategies of talent development. Methods The study included 1176 teams comprising 33,483 players of the German U19 and U17 Bundesliga over a period of 16 years. We calculated a team’s Gini index and self-designed variables to characterize the ToF distribution across the players of a squad. Results On average, squads consisted of 29.9 (± 4.3) players, showing a partially increasing trend. The mean Gini index was 44.8% (± 5.9), indicating a rather uneven distribution among the squad members. Overall, 50% of the team’s available playing time was shared by 7.8 (± 0.6) players (variable NPL-50%PT). The 11 most fielded players received 73.1% (± 5.0) of the team’s playing time (variable %PT-11PL). We found significant correlations between these indicators and the team’s final rank in the season’s table for both U17 and U19 (all p < 0.001). A significant correlation between a club’s U17 and U19 teams for %PT-11PL suggests stable club strategies for the distribution of ToF. Conclusion The findings reflect club strategies of favoring short-term competitive success rather than long-term talent development under the previous competition structure. This underscores the necessity of the reform and highlights the importance of a thorough evaluation based on our benchmarks and methodological tools to prevent undesired side effects such as increasing squad sizes.

German Journal of Exercise and Sport Research
University of Augsburg (DE), Technical University of Munich (DE)
Openalex Percentile: Top 50%
Sports Performance and Training
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.