Notational Analysis of Men’s Singles Pickleball: Game Patterns and Competitive Strategies
Background: Pickleball is an exponentially growing sport with a lack of notation-based studies. Consequently, this research aimed to conduct a match analysis in men’s singles to enhance the understanding of the game and optimize training practices. Methods: Using observational methodology, a total of 1145 points were analyzed from the semifinal and final rounds of five Professional Pickleball Association Tour tournaments. Data were recorded with LINCE PLUS V.2.1.0 software using the OI-PICKLEBALL-S23 observational instrument. Descriptive statistical analyses were conducted with IBM-SPSS version 25.0, and gameplay patterns were detected using Theme 6.0 Edu. Statistical significance was set at p < 0.05. Results: The data indicated that service faults at the start of the game were minimal (2.4%). The server won fewer points than the returner in the overall set of analyzed points (46.6%). Most points were concluded in short rallies (1–4 shots; 43%) or medium-length rallies (5–8 shots; 44%), with the final shot predominantly occurring from striking zone 2, the area closest to the non-volley line (50.7%). Ground strokes (55.1%) and volleys (38.4%) were the most common final shots. Conclusions: The insights gained from this study can benefit high-performance players and coaches and provide a foundation for future notation-based research in pickleball.
Authors
- Alfonso Gutiérrez-Santiago (ORCID: https://orcid.org/0000-0001-8071-3833)
- Iván Prieto-Lage (ORCID: https://orcid.org/0000-0002-2569-4999)
- Xoana Reguera-López-de-la-Osa (ORCID: https://orcid.org/0000-0002-3190-7188)
- Juan Carlos Argibay-González (ORCID: https://orcid.org/0000-0002-2036-6814)
- Antonio José Silva-Pinto (ORCID: https://orcid.org/0009-0004-5696-7285)
- Abel Juncal-López
Institutions
- Servicio Gallego de Salud (ES)
- Universidade de Vigo (ES)
Publication Details
- Journal
- Applied Sciences
- Published
- 2024-09-27
- DOI
- https://doi.org/10.3390/app14198724
- Citations
- 5
- Primary Topic
- Sports Analytics and Performance
- Type
- article
- Field-Weighted Citation Impact
- 5.65