Evidence summary
Time-motion analysis makes a Speed run more informative than one final time. Researchers have divided the route into phases, measured reaction and errors, and more recently used large video datasets to examine elite movement patterns at scale.
Video-based evidence is one of the strongest Speed-specific research areas because the standardized route permits repeated comparisons.
Why divide the climb into phases?
A final time says who was faster but not where time was gained. Phase analysis can reveal whether a performance difference appears near the start, through acceleration, in a specific route section or at the finish.
Errors are performance variables
A slip or missed contact can dominate a short race. Reliability therefore belongs inside performance analysis rather than being treated as noise.
From hundreds to roughly 900 videos
A 2022 World Cup analysis used 384 performances. A 2025 study expanded the scale to roughly 900 competition recordings using computer-vision methods.
Computer vision opportunity
Automated keypoint detection can scale movement analysis beyond manual coding. It is promising, but algorithmic estimates still require validation and careful interpretation.
Why this matters for the site
Technique pages can increasingly link movement claims to evidence rather than relying only on descriptive coaching language.
Sources used for this page
- A Time-Motion and Error Analysis of Speed Climbing in the 2019 IFSC Speed Climbing World Cup (2022) — Competition video/time-motion analysis. Analyzed 384 competition performances, phases, errors and reaction time.
- Performance Insights in Speed Climbing: Quantitative and Qualitative Analysis of Elite Athletes (2025) — Large competition-video dataset. Used roughly 900 competition recordings and computer-vision methods to examine movement patterns.
- 3D Visualization of Body Motion in Speed Climbing (2020) — 3D biomechanical analysis. Examined trajectory efficiency and body motion in three dimensions.
Evidence is summarized, not reproduced. Follow the original paper for exact methods, statistics, limitations and author conclusions.
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