This session teaches a generalizable graph model for nesting teams within leagues across multiple seasons. Sports league structures are often similar, but there are peculiarities in each, such as promotion and relegation; conferences and divisions; teams changing names and locations; and multiple teams from the same college/ club. Although the talk uses sport data from the Know Rivalry Database (KRDb), attendees can apply the lessons to company organizational structures or other situations with nested data.