Affiliation:
1. Sports Science, University of Alicante, Alicante, Spain
Abstract
AbstractThis study aimed to classify male athletes based on their performance levels
derived from running critical power (CP) using the 9/3-minute Stryd CP test,
enabling customized training strategies and goal setting. Twenty-four trained
athletes underwent the 9/3-minute running CP test on a certified 400-m athletics
track. Hierarchical cluster analysis using Ward's method categorized
athletes based on CP into distinct performance tiers. Three clusters were
identified with centroids of 3.87±0.12, 4.45±0.17, and 5.14±0.29 W/kg. Five
performance tiers were defined through ordinary least square linear regression
based on power (W/kg): Tier 1: Fair (2.9 to 3.6 W/kg), Tier 2: Tourist (3.6 to
4.2 W/kg), Tier 3: Regional (4.2 to 4.8 W/kg), Tier 4: National (4.8 to
5.5 W/kg), Tier 5: International (5.5 to 6.1 W/kg). Low semi-partial R-squared
(SpR
2) values (0.02 to 0.05) indicated minimal homogeneity
loss when merging clusters. R-squared (R
2) explained 89% to
96% of CP variance, emphasizing cluster analysis effectiveness. The linear
regression model demonstrated a strong fit (r
2+=+0.997) with a
significant intercept (3.22 W/kg), slope (0.63 W/kg/tier), and a low standard
error of estimate (0.045 W/kg). This classification offers insights into male
athlete performance levels based on CP, facilitating targeted training programs
for varying performance levels.