Due to the non-determinism of thread interleaving, predicting concurrency bugs has long been an extremely difficult task. Recently, several sound bug-detecting approaches were proposed. These approaches are based on local search, i.e., mutating the sequential order of the observed trace and predicting whether the mutated sequential order can trigger a bug. Surprisingly, during this process, they never consider reordering the data flow of the pointers, which can be the key point to detecting many complex bugs. To alleviate this weakness, we propose a new flow-sensitive point-to analysis technique ConPTA to help actively reorder the pointer flow during the sequential order mutation process. Based on ConPTA, we further propose a new sound predictive bug-detecting approach Eagle to predict four types of concurrency bugs. They are null pointer dereference (NPD), uninitialized pointer use (UPU), use after free (UAF), and double free (DF). By actively reordering the pointer flow, Eagle can explore a larger search space of the thread interleaving during the mutation and thus detect more concurrency bugs. Our evaluation of Eagle on 10 real-world multi-threaded programs shows that Eagle significantly outperforms four state-of-the-art bug-detecting approaches UFO, ConVul, ConVulPOE and Period in both effectiveness and efficiency.