  Recently, data mining studies are being successfully conducted to estimate
several parameters in a variety of domains. Data mining techniques have
attracted the attention of the information industry and society as a whole, due
to a large amount of data and the imminent need to turn it into useful
knowledge. However, the effective use of data in some areas is still under
development, as is the case in sports, which in recent years, has presented a
slight growth; consequently, many sports organizations have begun to see that
there is a wealth of unexplored knowledge in the data extracted by them.
Therefore, this article presents a systematic review of sports data mining.
Regarding years 2010 to 2018, 31 types of research were found in this topic.
Based on these studies, we present the current panorama, themes, the database
used, proposals, algorithms, and research opportunities. Our findings provide a
better understanding of the sports data mining potentials, besides motivating
the scientific community to explore this timely and interesting topic.
