The 30 game aberration
Let’s do some comparing and contrasting.
Player A averaged 18.3 points two years ago, but has never been within two points of that total for any other entire season of his career. He came into the league as a point guard but quickly moved over to the wing in his rookie season. His career assist percentage is 15.5, so he’s seen as a guy who keeps the ball moving on offense. Solid is the word that most often describes his defense. He’s not a bad guy to have around and he can occasionally carry a team.
Player B is a serious scoring threat. Per 36 minutes, he’s averaged 20 points for his career. A stat-geek’s best friend, his true shooting percentage and PER are always better than league average. Though he’s traditionally not a strong outside shooter, he’s made better than 36% of his threes this season. With each new stop, his defensive reputation precedes him and he’s seen as selfish offensively, despite a sterling locker room reputation.
Player A has played at least 30 minutes in all but six games he’s played in this season, while Player B has managed only 13 such games this season, his most recent coming February 11.
By now, you know I’m referring to John Salmons and Corey Maggette. At least you probably know, and you probably knew immediately. But you’re probably wondering why I’d be comparing these two. Salmons has spent the majority of his season at the two, while Maggette is more a three. Whenever Carlos Delfino has been healthy this season, he’s been Maggette’s main competitor for minutes, not Salmons. But this isn’t about competition. It’s actually about last season and how sample size affected the Bucks.



