This study explores the relationship between stroke mechanics regulation and pacing optimization in the 400m freestyle across different performance levels. The analysis involves 127 trained to elite swimmers, divided into performance groups, using an IMU sensor to measure spatiotemporal parameters. A Hierarchical Generalized Additive Model identified trends and group-specific variations in speed, stroke rate, stroke length, and stroke smoothness (jerk cost). Results show higher-performing swimmers better adapt technique to pacing by balancing stroke rate and length. Models reveal group differences, especially in pacing management and efficient technical regulation among top swimmers. This study emphasizes developing technical skills for pacing to enhance 400m freestyle performance.
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