Ensuring reliable real-time video streaming over heterogeneous networks particularly those combining 5G and satellite (Satcom) links poses significant challenges due to dynamic bandwidth, latency, and loss characteristics. This paper conducts an in-depth performance analysis of existing Multipath QUIC (MP-QUIC) schedulers in a hybrid 5G–Satcom environment, using a controlled emulation setup based on real network measurements from two operator datasets. We evaluate scheduler behavior across key Quality of Experience (QoE) metrics, including Peak Signal-to-Noise Ratio (PSNR), frame rate (FPS), and bitrate stability. Performance variability is captured using cumulative distribution functions (CDFs) across 50 experimental runs to ensure reproducibility. Our results reveal that while static rule-based schedulers (e.g., Round Robin, MinRTT) offer stable but conservative performance, they underutilize high-throughput paths in dynamic environments. Conversely, adaptive schedulers (e.g., Peekaboo, DEAR) exploit link diversity more aggressively, improving throughput under dynamic conditions. These observations illustrate critical trade-offs between path utilization and QoE stability. The study provides actionable insights for future multipath scheduling frameworks and underscores the potential of incorporating context-aware or learning-based decision mechanisms to improve video delivery resilience in complex, hybrid network scenarios.