In patients with non-valvular atrial fibrillation (AF), the left atrial appendage (LAA) is the primary site for thrombus formation. While oral anti-coagulation is the first-in-line treatment, many patients are ineligible due to bleeding risks, making left atrial appendage occlusion (LAAO) a viable alternative. LAAO involves implanting a device at the LAA entrance to block blood flow and reduce thrombus risk. However, suboptimal device implantation can lead to complications such as device-related thrombus. Given the anatomical variability of the LAA, selecting the optimal device configuration is challenging and requires patient-specific customization. Computational fluid dynamic simulations allow the comprehensive evaluation of hemodynamic patterns and are useful to assess the risk of blood stasis of distinct device configurations in a patient-specific manner. This study developed patient-specific in-silico hemodynamic models for 9 patients using two pacifier-type occluder configurations: one representing the clinical implantation and the other a virtual pre-planned implantation. Additionally, predictive algorithms were implemented for device optimality and transseptal puncture localization. The goal was to assess the risks associated with different device configurations and support clinicians in optimizing the pre-planning process for LAAO interventions. The findings indicate that proximal positions may be linked to a reduced risk of blood stasis, emphasizing the importance of considering both device orientation and left atrial (LA) morphology when evaluating blood stasis risk. Furthermore, TSP localization showed notable variability among patients.