Countermovement Jump Fatigue Testing Varied Widely Across 117 Studies, Review Finds

A scoping review of 117 studies finds that the countermovement jump is used everywhere to track fatigue and reported too inconsistently to compare across studies. The countermovement jump itself is not the problem; the paperwork around it is.

Countermovement jump testing is the default way coaches check whether an athlete has recovered, and a scoping review published October 5, 2026 in BMC Sports Science, Medicine and Rehabilitation maps how unevenly that testing is described. Across 117 studies, basic procedural details were often missing.

The review was conducted by researchers at Waseda University in Tokorozawa, Saitama, Japan, led by Hiroki Yoshida with Daichi Nishiumi and Norikazu Hirose of the Faculty of Sport Sciences. It followed the PRISMA-ScR guidelines for scoping reviews.

PubMed, Web of Science and SPORTDiscus were searched in June 2025, with a supplementary Google Scholar search in July 2026. A total of 117 studies involving healthy participants aged 15 to 35 were included, then sorted into four buckets: match, match simulation, practice and laboratory studies.

The headline result is a reporting failure rather than a physiological one. Contraction mode was reported in only 2.6% of studies, and the method used to select the representative countermovement jump value was unclear in 39.3% of them.

What a Scoping Review Is For

A scoping review does not pool effect sizes. It maps what has been studied, how, and where the blank spaces are, which is the right tool when the problem is that studies are not comparable in the first place.

The accompanying evidence gap map is the practical output. Rather than producing a single number for how much jump height drops after a match, it shows which combinations of exercise load, timing and variable have been examined often and which have barely been touched.

That framing sets the ceiling on what the review can claim. It is a verdict on the literature, not on the test. Nothing here says the countermovement jump fails to detect fatigue.

Where Countermovement Jump Reporting Fell Short

Two numbers carry the argument. Contraction mode was reported in only 2.6% of studies, meaning that in the overwhelming majority a reader cannot tell what kind of muscle action the preceding exercise involved.

That matters because eccentric work and concentric work leave different fatigue signatures and recover on different timelines. A protocol heavy in braking and landing will depress a countermovement jump differently from one built on uphill cycling, and without contraction mode the two look interchangeable.

The second gap is the representative value. In 39.3% of studies it was unclear how the reported countermovement jump figure was chosen from an athlete’s attempts, which leaves open whether it was the best trial, an average, or something else.

Why Best Versus Average Changes the Answer

The choice between a best trial and a mean of several is not a formality. A fatigued athlete typically shows more variability between countermovement jump attempts, so a best-of-three can mask a decline that an average would reveal.

Run the comparison the other way and the bias flips. If a baseline used the best trial and the post-exercise session used an average, part of the apparent drop is a change in method rather than a change in the athlete.

When four studies in ten do not state which approach they used, pooling their results produces a number whose meaning is unclear. That is the core of the review’s complaint.

Jump Height Crowded Out Everything Else

The review found the evidence concentrated on jump height and on assessments taken immediately after exercise. Delayed measurements and phase-specific variables were examined less frequently.

Both concentrations are awkward for practice, because a countermovement jump is routinely used to answer questions the literature has barely addressed. Jump height is the single summary output of a whole countermovement jump, and athletes can hold it steady by reorganizing how they produce force, which is exactly the compensation that phase-specific measures are designed to expose.

The timing bias cuts the other way. A session’s cost often shows up a day or two later, so a literature weighted toward immediate testing speaks least clearly to the question a coach asks on the following morning.

What the Four Study Categories Cover

Sorting the 117 studies into match, match simulation, practice and laboratory groups is more than tidy housekeeping. Each setting controls a different amount of the fatiguing stimulus, and that determines how much a countermovement jump result can be attributed to the exercise rather than to everything else going on.

A laboratory protocol can specify load, duration and contraction mode precisely, which makes the resulting fatigue interpretable but not necessarily representative of sport. A competitive match is the opposite: entirely representative and almost entirely uncontrolled, with playing time, scoreline and opponent all varying.

Match simulations and practice sessions sit in between, and that is where most applied monitoring actually happens. Treating a countermovement jump decline measured after a controlled laboratory protocol as equivalent to one measured after a real fixture collapses a distinction the review was built to preserve.

Why Standardization Is Harder Than It Sounds

The call for standardized procedures is easy to endorse and awkward to implement. Hardware differs across settings, and jump height derived from flight time on a contact mat is not interchangeable with a value computed from force-plate impulse.

Protocol details compound the problem. Whether the hands are held on the hips or allowed to swing changes countermovement jump height substantially, and depth of the countermovement is usually left to the athlete rather than constrained.

None of that argues against the review’s position. It explains why the gaps persist: the reporting burden falls on individual research groups, while the benefit of consistency accrues to whoever tries to pool the literature later. The practical response for a coach is to standardize within their own setting and treat cross-study comparison as unavailable.

How This Lines Up With Other Jump Research

The reporting problem is easier to see against studies that did specify their methods. Our report on a 5.5% rise in jump height 30 hours after resistance priming in 24 athletes depends entirely on the timing being stated; drop the 30-hour detail and the result is unreadable.

The same applies to intervention work. A trial that added 4.8 cm to jump height in 71 untrained teenagers and a nine-week basketball warm-up program tested in 65 teenagers are both interpretable because their protocols and test procedures are described.

Monitoring also sits next to injury risk, where the same measurement discipline is missing. A survey of knee ligament injury knowledge among 500 sports participants relies on self-report for much the same reason: the thing worth measuring is hard to capture cleanly.

Using Countermovement Jump Data Without Overreading It

For anyone who tests jumps on a mat or a force plate, the review is less a warning about the test than about comparing your numbers to published ones. General principles follow from that.

• Fix the protocol and keep it fixed: same warm-up, same number of attempts, same time of day.
• Decide in advance whether you report the best trial or the average, and never switch mid-season.
• Judge an athlete against their own baseline rather than against a figure from a countermovement jump study with a different population.
• Record what the preceding training actually was, including whether it was heavy in braking and landing.

A single low reading is also weak evidence on its own. Sleep, illness, caffeine and motivation all move countermovement jump output, which is why trends across several sessions carry more information than any one test.