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.

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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
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article

Notational Analysis of Men’s Singles Pickleball: Game Patterns and Competitive Strategies

Alfonso Gutiérrez-Santiago, Iván Prieto-Lage, Xoana Reguera-López-de-la-Osa, Juan Carlos Argibay-González et al.
5 citations
Applied Sciences
Sports Analytics and Performance
5.65
article

Notational Analysis of Men’s Singles Pickleball: Game Patterns and Competitive Strategies

Alfonso Gutiérrez-Santiago, Iván Prieto-Lage, Xoana Reguera-López-de-la-Osa, Juan Carlos Argibay-González, Antonio José Silva-Pinto, Abel Juncal-López
article en
5 citations

Abstract

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.

Applied SciencesVol. 14(19)
Servicio Gallego de Salud (ES), Universidade de Vigo (ES)
Openalex Percentile: Top 4%
Sports Analytics and Performance
5.65
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