Content: Predictive modeling for live matches requires low-latency integration of live scores and match conditions. We focus on death-over simulations, wicket probability shifts, and run-rate dynamics. Unlike pre-match analysis, live modeling accounts for immediate tactical changes, such as fielding placements and bowling adjustments. Our framework processes these live-match inputs to calculate the probability of success in real-time, allowing for disciplined hedging and value-driven positioning as the game unfolds.