REF-1757 · Čokorilo et al., 2026 · Sports · Paper · PubMed

In team-sport athletes, wearable heart rate, which the sensor measures, came close to a chest strap or ECG in two studies, and a chest strap's breathing rate matched gas analysis in one; energy expenditure, which devices estimate, was under-read against calorimetry by about 10-66% in most studies, worst in multidirectional and collision work; watch VO2max agreed poorly with gas analysis after one run (ICC 0.37) and better after two (ICC 0.54): a systematic review of 11 small validation studies (188 athletes) with no pooled estimate

Main caveat: No pooled estimate; each outcome rests on few, small studies (heart rate 2, VO2max 1, respiratory frequency 1, energy expenditure 8, one of which also reported…
limited evidenceMeasured on trained to elite athletesRead in full

Čokorilo and colleagues gathered studies from 2015-2025 that checked wearables in team-sport athletes against a reference method: electrocardiography or a chest strap for heart rate, indirect calorimetry for energy expenditure, gas analysis for VO2max and respiratory frequency. Eleven studies with 188 athletes (8-26 per study) qualified, two of them added during peer review.

Heart rate from four commercial watches agreed closely with a chest strap in one study (ICC 0.68-0.91) and with ECG in another, although watches under-read at high intensity.

Energy expenditure was the weakest output: armbands, accelerometers, heart-rate-based estimates and GPS or local-position "metabolic power" mostly under-read calorimetry, by about 18-61% in single devices and up to 63-66% in handball, with errors largest in multidirectional, intermittent and collision work.

A smartwatch's VO2max in elite youth footballers agreed poorly after one run and better after a second, with wide limits. A chest strap with a strain gauge matched breath-by-breath respiratory frequency closely in Serie A footballers.

The authors conclude that accuracy depends on the metric and the setting, and that wearable outputs should be treated as supporting data, not definitive measures.

Participants

11 studies, 188 athletes, 8-26 per study, ages about 17-25; all described as trained, competitive or elite.
Samples: 24 elite youth male footballers; 16 female NCAA basketball players; 22 multisport athletes; 10 professional rugby players; 26 field and court athletes; 26 Serie A footballers; 8 competitive athletes (athletics, triathlon, cycling, football); 17 professional female footballers; 16 rugby players; 12 university-standard team-sport players; 11 handball players (6 M / 5 F).

Protocol

Search: PubMed and Scopus, English or Serbian, 2015-2025; 146 records, 70 full texts, 9 included, plus 2 added at revision.
Inclusion: healthy team-sport athletes; a wearable or microtechnology device measuring heart rate, energy expenditure, VO2max or respiratory frequency; a reference method and standard validation statistics.
Quality: QUADAS-2 by one reviewer; per-study ratings in a supplement not available.
Synthesis: narrative, by outcome; no meta-analysis because of heterogeneity in devices, references, protocols and statistics.

Key Results

Metric (side of the line)Studies (n)ReferenceAgreement as reported
Heart rate, four commercial watches (measured)Montalvo 2023 (22)Polar H10 chest strapICC 0.68-0.91 and MAPE 1.8% to 6-8% across the four watches; best: ICC 0.91, r 0.96, MAPE 1.8%, bias −0.77
Heart rate, four watches in a maximal test (measured)Martín-Escudero 2023 (8)12-lead ECGWatches under-read at high intensity; two of four weakest above about 150 bpm (no summary numbers in the table)
Respiratory frequency, chest strap with strain gauge (counted from chest stretch; SYNTH-91 files chest-stretch breathing as estimated)Di Paco 2024 (26)Breath-by-breath gas analysisr 0.970, CCC 0.970, ICC 0.97, bias 0.17, limits −4.58 to +4.92, RMSE 2.42 (units not printed)
Energy expenditure, armband (estimated)Taylor 2018 (16)Indirect calorimetryr 0.83-0.84, SEE 14.5-26.7 kcal, under-read about 56.7 kcal in the skills session; error grew with intensity
Energy expenditure, four watches over seven activities (estimated)Montalvo 2023 (22)Portable gas analysisError 20-35%, wide limits
Energy expenditure, heart-rate, accelerometer and combined devices over a rugby training day (estimated)Costello 2022 (10)Portable gas analysisUnder-read total energy by 20-30% (heart rate only), 30-50% (accelerometer only), 10-20% combined (300-500 kcal/day)
Energy expenditure, accelerometer and armband (estimated)Gastin 2018 (26)Portable gas analysisBias −29.3% and −18.2%; −35% to −61% in sport circuits; RMSE about 140 kJ
Energy expenditure, four watches on a treadmill (estimated)Dasa 2022 (17)Metabolic cartR² 0.647-0.956, SEE 0.57-1.52 kcal/min, bias −0.06 to +1.25 and RMSE 0.7-2.3 (units not printed)
Energy expenditure, GPS metabolic power (estimated)Highton 2017 (16); Oxendale 2017 (12)Spirometry; portable gas analysisAbout 45% under in repeated-effort rugby (r 0.63, bias −5.94 kcal/min); 52% under in multidirectional and 34% in linear running
Energy expenditure, local position system (estimated)Fuchs 2022 (11)Portable gas analysis63-66% lower than reference in a handball test; r 0.32, not significant
VO2max, smartwatch (estimated)Düking 2024 (24)Gas analysis on a treadmill rampAfter one run ICC 0.37, MAPE 5.58%, bias −3.16, limits −15.7 to +9.3; after a second run ICC 0.54, MAPE 1.06%, bias 0.12, limits −8.94 to +9.17 (units not printed); a Yo-Yo IR2 estimate ICC 0.17
Overall quality: QUADAS-2 summarised as predominantly moderate to high; no domain results in the text.
Under-reading was the rule for energy expenditure, but not in every study: one watch study gave biases from −0.06 to +1.25 (unit not printed).

Practical Application

In stop-start sport, trust wearable heart rate far more than its calorie number. Heart rate, which the device measures, came within a mean absolute percentage error of 1.8-8% of a chest strap in one study and fell short of ECG mainly at high intensity in another; energy expenditure, which it estimates, was under-read by tens of per cent in most of eight studies, most in multidirectional and contact work.
This extends [SYNTH-91] to team-sport athletes with the same split: heart rate, which the sensor measures, agreed; calories were poor and VO2max mixed. The direction of calorie error belongs to the device and the activity: here devices mostly under-read in stop-start sport, while REF-1254 found two of three watches over-reading in steady walking and running; the VO2max result fits REF-1253's wide individual limits.
Do not fuel from a watch or GPS calorie figure after a match or intermittent session (the base's rule in SYNTH-91 and SYNTH-87): here such estimates mostly read 10-66% low, so eating to the number would under-fuel; in steady running the error can go the other way (REF-1254).
A watch VO2max can shift with the number of runs it has seen: in one study agreement improved from the first to the second run, with limits of roughly −9 to +9 units even then. Inference, not tested here: give a new watch several runs before reading its VO2max at all, and still treat it as a range.
Optical heart rate drops off at high intensity: watches under-read near maximal effort in the ECG study; a chest strap is the safer choice for hard efforts (the base's practice, SYNTH-91).

Limitations

No pooled estimate; each outcome rests on few, small studies (heart rate 2, VO2max 1, respiratory frequency 1, energy expenditure 8, one of which also reported heart rate; 8-26 athletes each).
QUADAS-2 was applied by one reviewer and reported only as an overall summary; two studies entered during peer review rather than through the search.
The heart-rate reference in one of the two studies was a chest strap, not ECG; device models, firmware and wear sites are mostly not given in the table.
Units are missing for the VO2max and respiratory-frequency agreement figures, and the VO2max second-run MAPE of 1.06% sits oddly beside limits of about ±9; the figures are reported as printed.
The abstract calls heart-rate validity consistently high, which rests on two studies of 30 athletes in total.
Funding: Provincial Secretariat for Higher Education and Scientific Research of Vojvodina; no conflicts declared.
How this entry was checked and changed
Why this level

a narrative synthesis of 11 small validation studies with no pooled estimate; its QUADAS-2 appraisal was done by one reviewer and is reported only as a one-line summary (per-study ratings in a supplement not read), and heart rate rests on two studies, VO2max and breathing rate on one each, so the claims are no stronger than the validation studies retold (B); no marker step, because device agreement is the subject