Pinnipeds represent one of the most vulnerable marine groups severely affected by entanglements. However, the lack of standardized data collection poses a challenge when comparing the impacts of fishing gear across various geographic regions. In this study, we employed Generalized Additive Models to predict entanglement incidents stemming from fishing-related activities for 13 pinniped species across the last four decades (1976-2017). The models incorporated reported entanglement numbers, fishing effort covariates based on different gear types, and floating plastic debris distribution for each species. Through this approach, we generated global hotspot maps that pinpoint regions of heightened vulnerability where pinnipeds are susceptible to entanglement in lost gear. The best-performing model highlighted both species characteristics and the presence of floating plastic debris as pivotal factors in predicting pinniped entanglements. Our analysis revealed entanglement hotspots in the North Pacific and Southeastern Australia. This demonstrates the efficacy of our methodology in identifying high-priority geographic areas.