Author
Listed:
- Thomas Perri
- Machar Reid
- Alistair Murphy
- Rob Duffield
Abstract
This study analysed the volume, intensity and distribution of tennis serving between (1) training and tournament mesocycles, and (2) within-mesocycle based on session-type, drill-type and week. Seven elite females wore a GPS device, with in-built accelerometer and gyroscope, during training and tournament mesocycles. Sessions were classified as “practice sessions” or “official matches” and drills as “serve-focused drills” or “point-play”. Training weeks were classified according to their timing prior to tournaments (“Week −3”, “Week −2” and “Week −1”). Machine learning algorithms detected serves from the raw accelerometer and gyroscope data to report serve count, load and rotation magnitude in absolute and relative (.min−1 or serve) values. Cohen’s d with 95% confidence intervals compared serve volume (count), intensity (serve load, rotation magnitude) and distribution (n.min−1) between session- and drill-type during mesocycles. Cumulative serve counts were compared between training weeks. Increased absolute serve load was observed during official matches compared to practice sessions (d = 0.97–1.07[0.69–1.30]). Serve-focused drills in training mesocycles have lower absolute counts and serve load (d = 0.82[0.54–1.34]), though greater relative count and load (d = 1.10–1.87[0.59–2.19]). Trivial-small ES existed between training weeks for cumulative serve count (d = 0.12–0.25[−0.83–1.27]). Session- and drill-level analyses highlight greater mechanical demands in official matches, though lower serve density in point-play.
Suggested Citation
Thomas Perri & Machar Reid & Alistair Murphy & Rob Duffield, 2024.
"Tennis serve volume, distribution and accelerometer load during training and tournaments from wearable microtechnology,"
International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 24(4), pages 285-297, July.
Handle:
RePEc:taf:rpanxx:v:24:y:2024:i:4:p:285-297
DOI: 10.1080/24748668.2023.2296776
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