A Simple Approach to Monitoring Technical-Tactical Load in Collaboration-Opposition Sports

Background: In collaborative-opposition sports, managing training load is essential to ensure optimal planning and performance development. Among all components, the technical-tactical (TT) aspect is the foundation of the game. However, its high complexity makes it difficult to approach and quantify effectively. Aim: This narrative review aimed to critically analyze existing proposals for TT load management and to synthesize a new, improved alternative to support practitioners in collaborative-opposition sports. Methods: A general search was conducted using Google Scholar to identify the most widely cited non-technological approaches to TT load management. Only proposals that used templates without the aid of technology were included. A critical analysis was performed to examine the strengths and limitations of each identified model. The insights gained were then integrated to formulate a new and more functional proposal. Results: Three relevant proposals using non-technological templates were identified. Each was critically examined, with attention given to their practical contributions and inherent limitations. By integrating the positive aspects of each while addressing their weaknesses, a new TT load management model was developed. Conclusion: The synthesized proposal provides a simple yet ecologically valid tool for managing technical-tactical load in collaborative-opposition sports. Its ease of application and contextual relevance make it a valuable resource for coaches and practitioners seeking effective, accessible methods to support player development.

Authors

Institutions

Publication Details

Journal
Journal of Sports and Physical Activity
Published
2025-08-22
DOI
https://doi.org/10.64268/jospa.v1i2.11
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

A Simple Approach to Monitoring Technical-Tactical Load in Collaboration-Opposition Sports

Ignacio Alejandro Costa
Journal of Sports and Physical Activity
Sports Performance and Training
article

A Simple Approach to Monitoring Technical-Tactical Load in Collaboration-Opposition Sports

Ignacio Alejandro Costa
article en

Abstract

Background: In collaborative-opposition sports, managing training load is essential to ensure optimal planning and performance development. Among all components, the technical-tactical (TT) aspect is the foundation of the game. However, its high complexity makes it difficult to approach and quantify effectively. Aim: This narrative review aimed to critically analyze existing proposals for TT load management and to synthesize a new, improved alternative to support practitioners in collaborative-opposition sports. Methods: A general search was conducted using Google Scholar to identify the most widely cited non-technological approaches to TT load management. Only proposals that used templates without the aid of technology were included. A critical analysis was performed to examine the strengths and limitations of each identified model. The insights gained were then integrated to formulate a new and more functional proposal. Results: Three relevant proposals using non-technological templates were identified. Each was critically examined, with attention given to their practical contributions and inherent limitations. By integrating the positive aspects of each while addressing their weaknesses, a new TT load management model was developed. Conclusion: The synthesized proposal provides a simple yet ecologically valid tool for managing technical-tactical load in collaborative-opposition sports. Its ease of application and contextual relevance make it a valuable resource for coaches and practitioners seeking effective, accessible methods to support player development.

Journal of Sports and Physical ActivityVol. 1(2)
Universidad Fraternidad de Agrupaciones Santo Tomás de Aquino (AR)
Openalex Percentile: Top 72%
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.