In 1870 Jordan explained how Galois theory can be applied to problems from enumerative geometry, with the group encoding intrinsic structure of the problem. Earlier Hermite showed the equivalence of Galois groups with geometric monodromy groups, and in 1979 Harris initiated the modern study of Galois groups of enumerative problems.  He posited that a Galois group should be `as large as possible' in that it will be the largest group preserving internal symmetry in the geometric problem.

In most professional sports, every physical attribute of an athlete that can be measured is tracked and recorded. There exists an abundance of (relatively) high quality data — in football, basketball, baseball, cricket, etc. — which makes sports an ideal testing ground for new analyses and algorithms. In this talk I will describe a few studies that lie at the intersection of sports and data.