Determining Shot Effectiveness in Padel: Exploring Differences Between Winning and Losing Teams
Source abstract
Abstract
Background: Padel is currently played in more than 150 countries, leading to a substantial increase in performance analysis research in recent years. Examining shot effectiveness (winners vs. errors) provides valuable information for players and coaches to better understand match and competition performance. Objectives: This study aimed to (i) analyze winners, forced errors, unforced errors, and forced error generators according to set results and serving situation; (ii) examine differences in shot types and effectiveness between set-winning and set-losing pairs; and (iii) identify differences in shot types that generate forced errors between set-winning and set-losing pairs. Methods: Data were collected from 41 professional matches (men’s and women’s) available on the World Padel Tour Finland Padel Open website. Descriptive (frequency and percentage) and inferential analyses (chi-square (χ2), Cramer’s V coefficient (Vc), subsequent Z-tests, and corrected standardized residuals (CSR)) were performed. Results: Pairs produced more winners and forced error generators when serving, while forced errors were more frequent when returning. Winning pairs achieved more winners (men: CSR = 7.7; women: CSR = 7.4), whereas losing pairs committed more errors (men: forced errors, CSR = 4.3; unforced errors, CSR = 3.8; women: forced errors, CSR = 4.8; unforced errors, CSR = 2.8). Additionally, winning pairs generated a higher proportion of forced errors (men: 56.5%; women: 60.0%) compared with losing pairs (men: 43.5%; women: 40.0%). Conclusions: These findings are crucial for coaches and players, as they provide insights into sex-specific technical and tactical patterns, thereby enhancing the effectiveness of training design and match preparation strategies.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Sports Performance and Training · Sport Psychology and Performance · Sports Analytics and Performance
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Sports Science, Faculty of Medicine, Health and Sports, Universidad Europea de Madrid, 28670 Madrid, Spain
Department of Sports Science, Faculty of Sport Sciences, University of Extremadura, 10003 Cáceres, Spain
Department of Sport Science, Faculty of Sport Sciences, University of Murcia, 30700 Murcia, Spain
References (25)
Show source-provided references
1. International Padel Federation (2025, July 13). Padel Game Regulations. Available online: https://www.padelfip.com/documents/.
2. García-Giménez, A., Pradas de la Fuente, F., Castellar Otín, C., and Carrasco Páez, L. (2022). Performance Outcome Measures in Padel: A Scoping Review. Int. J. Environ. Res. Public. Health, 19.10.3390/ijerph19074395 ↗
3. Guijarro-Herencia, J., Mainer-Pardos, E., Gadea-Uribarri, H., Roso-Moliner, A., and Lozano, D. (2023). Conditional Performance Factors in Padel Players: A Mini Review. Front. Sports Act. Living, 5.10.3389/fspor.2023.1284063 ↗
4. Requerimientos de Rendimiento e Incidencia Lesional Del Pádel: Una Revisión Narrativa
5. Efecto Del Género y Del Resultado Final Del Partido En Competiciones Profesionales de Pádel. [Effect of Gender and Match Outcome on Professional Padel Competition]10.5232/ricyde2018.05103 ↗
6. Analysis of Finishing Actions in Men’s and Women’s Professional Padel10.1177/17479541221139970 ↗
7. Match Analysis of Elite Players during Paddle Tennis Competition10.1080/24748668.2015.11868857 ↗
8. Prieto-Lage, I., Reguera-López-de-la-Osa, X., Durán-Rodríguez, N., Silva-Pinto, A.J., Argibay-González, J.C., and Gutiérrez-Santiago, A. (2024). Assessing the Probability of Winning a Point in Men’s Padel: A Comprehensive Analysis. Appl. Sci., 14.10.3390/app14156642 ↗
9. Determinant Actions in Men’s Professional Padel Performance10.1080/24748668.2024.2361534 ↗
10. Analysis of game actions in professional male padel10.12800/ccd.v14i42.1332 ↗
11. External training load differences between male and female professional padel
12. Conde-Ripoll, R., Sánchez-Alcaraz, B.J., Martín-Miguel, I., Bustamante-Sánchez, Á., Crespo, M., and Escudero-Tena, A. (2024). Decisive Shots: Unveiling Disparities between Winning and Losing Pairs in High-Level Men’s Padel. Appl. Sci., 14.10.20944/preprints202407.2190.v1 ↗
13. Differences in Performance Parameters between Winning and Losing Pairs in Men’s and Women’s Professional Padel10.1177/17479541231213544 ↗
14. Análisis de las acciones de ataque en el pádel masculino profesional
15. Sánchez-Alcaraz, B.J., Muñoz, D., Pradas, F., Ramón-Llin, J., Cañas, J., and Sánchez-Pay, A. (2020). Analysis of Serve and Serve-Return Strategies in Elite Male and Female Padel. Appl. Sci., 10.10.3390/app10196693 ↗
16. The Relationship between the Incidence of Winners/Errors and the Time Spent in Different Areas of the Court in Elite Tennis10.4100/jhse.2013.8.Proc3.05 ↗
17. Ethical Standards in Sport and Exercise Science Research: 2020 Update10.1055/a-1015-3123 ↗
18. Técnicas de análisis en estudios observacionales en ciencias del deporte10.4321/S1578-84232015000100002 ↗
19. Thomas, J.R., Martin, P.E., Etnier, J.L., and Silverman, S.J. (2023). Research Methods in Physical Activity, Human Kinetics. [8th ed.].
20. Igartua-Perosanz, J.J. (2006). Métodos Cuantitativos de Investigación en Comunicación, Bosch.
21. The Measurement of Observer Agreement for Categorical Data10.2307/2529310 ↗
22. Field, A. (2018). Discovering Statistics Using IBM SPSS Statistics, SAGE Publications Ltd.. [5th ed.].
23. Crewson, P. (2006). Applied Statistics Handbook, AcaStat Software.
24. Ramón-Llin, J., Guzmán, J.F., Llana, S., Martínez-Gallego, R., James, N., and Vučković, G. (2019). The Effect of the Return of Serve on the Server Pair’s Movement Parameters and Rally Outcome in Padel Using Cluster Analysis. Front. Psychol., 10.10.3389/fpsyg.2019.01194 ↗
25. Análisis de los remates finalistas en pádel profesional10.17398/1885-7019.19.117 ↗