That's definitely an important benefit. RDF makes it really easy to introduce changes that not only don't break the existing schema, but can be entirely isolated or combined in queries.

Another thing that RDF makes easy is analysis that takes advantage of a graph -- using relationships with other players, shots, etc. What players have the highest percentage making 3-point shots in possessions immediately after a player on the other team missed a 3-point shot? Building queries you compare previous possessions, shots, quarters; players' relations to each other (e.g. performance players who were subbed in after previous teammates went scoreless for 3 possessions) -- these things are a lot easier to do in RDF than in SQL.

Obviously, there are many things that are easier to model in RDBMS and query in SQL than with RDF/SPARQL. Every tool has its uses.