Background: Prescribing repetitions relative to task-failure is an emerging approach to resistance training. Under this approach, participants terminate the set based on their prediction of the remaining repetitions left to task-failure. While this approach holds promise, an important step in its development is to determine how accurate participants are in their predictions. That is, what is the difference between the predicted and actual number of repetitions remaining to task-failure, which ideally should be as small as possible. Objective: Examine the accuracy in predicting repetitions to task-failure in resistance exercises. Design: Scoping review and exploratory meta-analysis. Search and Inclusion: A systematic literature search was conducted with PubMed, SPORTDiscus, and Google Scholar in January 2021. Inclusion criteria included studies with healthy participants who predicted the number of repetitions they can complete to task-failure in various resistance exercises, before or during an ongoing set, which was performed to taskfailure. Sixteen publications were eligible for inclusion, of which 13 publications that cover 12 studies were included in our meta-analysis with a total of 414 participants. Results: The main multilevel meta-analysis model including all effects sizes (262 across 12 clusters) revealed that participants tended to under predict the number of repetitions to task-failure by 0.95 repetitions (95% CIs= 0.17 to 1.73), but with considerable heterogeneity (Q(261)= 3060, p< 0.0001; I 2 = 97.9%). Meta-regressions showed that prediction accuracy slightly improved when the predictions were made closer to set failure (β= -0.025 [95% CIs= -0.05 to