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Elevated acute:chronic workload ratio shows small-to-moderate injury risk link in team-sport athletesHigh Training Loads May Increase Injury Risk for Team Athletes

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Key Takeaway
Interpret ACWR as a contextual indicator, not a standalone predictor, given small-to-moderate association and high heterogeneity.

This meta-analysis synthesized 16 studies comprising 797 team-sport athletes to evaluate the association between the acute:chronic workload ratio (ACWR) and injury risk. The primary outcome was the overall association between ACWR and injury risk, with secondary outcomes examining contact injuries, non-contact injuries, and time-loss injuries.

The pooled analysis revealed a small-to-moderate association between elevated ACWR and increased injury risk (Hedges' g = 0.35, 95% CI 0.16–0.54). The association appeared stronger for contact and non-contact injuries, though specific effect sizes were not reported. Notably, the association with time-loss injuries was not significant.

The authors caution that substantial heterogeneity (I2 = 95.8%) limits the precision of these estimates. They emphasize that ACWR should not be interpreted as a standalone predictor of injury, and the evidence does not support ACWR as a causal or predictive model in isolation.

In practice, ACWR may serve as a contextual monitoring indicator within individualized, multi-marker load-management systems. However, given the heterogeneity and the non-significant finding for time-loss injuries, clinicians should interpret ACWR cautiously and integrate it with other risk factors.

Researchers looked at data from 797 team-sport athletes to see if the relationship between recent and chronic workloads predicted injury. They focused on the acute:chronic workload ratio, which measures how much an athlete's training intensity increases over a short period compared to their usual routine.

The analysis found a small to moderate link between high workload ratios and general injury risk. Specifically, there was a stronger association between these spikes and non-contact injuries as well as contact injuries. However, the study did not find a significant link between these workload spikes and injuries that caused an athlete to lose time from their sport.

Because of differences in how studies were conducted, this finding should be viewed with caution. The data suggests that while tracking workload can be helpful, it is not a perfect way to predict injury on its own. Coaches and athletes should use these numbers as one part of a larger plan to manage physical stress safely.

What this means for you:
Sudden spikes in training load are linked to more contact and non-contact injuries in team sports.

Common questions

What is the link between workload and injury?

The study found a small to moderate association between an elevated acute:chronic workload ratio and general injury risk. This means that when training intensity spikes suddenly compared to what an athlete usually does, there is a measurable increase in the likelihood of getting injured.

Does this apply to all types of sports injuries?

The link was stronger for contact and non-contact injuries. However, the study did not find a significant association between these workload spikes and time-loss injuries. Because the data is varied, it should be used as one tool among many for managing athlete safety.

Can this ratio predict if an athlete will get hurt?

The evidence does not support using the workload ratio as a standalone way to predict injury. It is best used as a contextual indicator within a larger, individualized management system that looks at multiple factors to keep athletes safe.

Study Details

Study typeMeta analysis
EvidenceLevel 1
PublishedAug 2026
View Original Abstract ↓
The acute:chronic workload ratio (ACWR) has been widely used to monitor training load and injury risk in team-sport athletes. However, its practical utility remains debated because of methodological heterogeneity across load metrics, calculation methods, time-window definitions, sport types, and injury definitions. This systematic review and multilevel meta-analysis aimed to quantify the association between ACWR and injury risk in team-sport athletes and to examine potential moderators. Four electronic databases were searched from inception through October 2024. Prospective cohort studies or trials were eligible if they included team-sport athletes, reported associations between ACWR and injury outcomes, and provided sufficient data for effect size extraction or conversion. Study characteristics, participant information, injury definition, load metric, ACWR calculation method, time window, sport type, and effect estimates were extracted. Effect sizes were converted to Hedges’ g and pooled using a three-level random-effects model. 41 studies met the inclusion criteria, and 16 studies involving 797 athletes were included in the meta-analysis. Elevated ACWR showed a small-to-moderate association with higher injury risk (g = 0.35; 95% CI, 0.16–0.54), with substantial heterogeneity (I2 = 95.8%). Stronger associations were observed for contact and non-contact injuries, whereas effects were not significant for time-loss injuries or other moderators. Elevated ACWR may be associated with increased injury risk in specific contexts, but current evidence does not support its use as a stand-alone causal or predictive model. ACWR should be interpreted as a contextual monitoring indicator within individualized, multi-marker load-management systems. The systematic review was registered in PROSPERO under the unique identifier CRD420245127618.
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