A considerable amount of useful information on Wikipedia is encoded as tables. An extensive corpus of prior work addresses the problem of making these tables interpretable by algorithms even though they are designed to be human-readable. Most of these works focus only on a snapshot of these tables at a certain point in time. However, the evolution of these tables over time represents valuable information that has barely been tapped, enabling various applications including visual change exploration and trust assignment. To realize the full potential of this information, it is critical to match tables and cells within tables across page revisions.