Initial validation of the ITF World Tennis Number (WTN) on-court assessment

This study validates an initial on-court assessment for the International Tennis Federation (ITF) World Tennis Number (WTN), designed for players without prior ratings. The research followed a multi-phase approach: (1) literature review, (2) ITN-WTN equivalence analysis, (3) evaluation of existing on-court tests, and (4) validation with 106 recreational players across six countries. Pearson’s correlation and stepwise multiple regression identified ITN as the strongest predictor of WTN (r = -0.45, p < 0.05), followed by serve (r = -0.39, p < 0.05) and volley (r = -0.31, p < 0.05). The final model (β = -0.0464, p < 0.001) explained 19.8% of WTN variance. These results confirm the ITN-based on-court test as a reliable tool for assigning initial WTN ratings. The implemented tests assessed serve, groundstrokes depth, groundstrokes accuracy, and volleys. Their strong correlation with WTN supports their validity in structured player classification. This assessment offers a standardized, accessible approach for players without match history, ensuring a fairer rating system.

Authors

Institutions

Publication Details

Journal
ITF Coaching & Sport Science Review
Published
2025-04-24
DOI
https://doi.org/10.52383/itfcoaching.v33i95.698
Citations
1
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
1.72
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Initial validation of the ITF World Tennis Number (WTN) on-court assessment

Rafael Martí­nez-Gallego, Ana Piquer-Piquer, Manrique Rodríguez-Campos
1 citations
ITF Coaching & Sport Science Review
Sports Performance and Training
1.72
article

Initial validation of the ITF World Tennis Number (WTN) on-court assessment

Rafael Martí­nez-Gallego, Ana Piquer-Piquer, Manrique Rodríguez-Campos
article en
1 citations

Abstract

This study validates an initial on-court assessment for the International Tennis Federation (ITF) World Tennis Number (WTN), designed for players without prior ratings. The research followed a multi-phase approach: (1) literature review, (2) ITN-WTN equivalence analysis, (3) evaluation of existing on-court tests, and (4) validation with 106 recreational players across six countries. Pearson’s correlation and stepwise multiple regression identified ITN as the strongest predictor of WTN (r = -0.45, p < 0.05), followed by serve (r = -0.39, p < 0.05) and volley (r = -0.31, p < 0.05). The final model (β = -0.0464, p < 0.001) explained 19.8% of WTN variance. These results confirm the ITN-based on-court test as a reliable tool for assigning initial WTN ratings. The implemented tests assessed serve, groundstrokes depth, groundstrokes accuracy, and volleys. Their strong correlation with WTN supports their validity in structured player classification. This assessment offers a standardized, accessible approach for players without match history, ensuring a fairer rating system.

ITF Coaching & Sport Science ReviewVol. 33(95)
Valencia Catholic University Saint Vincent Martyr (ES)
Openalex Percentile: Top 19%
Sports Performance and Training
1.72
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.