Over the years, the NY Knicks have had their fair share of Power Forwards leading the team.
For whatever reason, it seems to be one of the stronger positions the Knicks have had throughout their entire existence.
One of the most notable players at the position of course was Charles Oakley.
He acted as the team’s enforcer and spent 10 years with the organization, appearing in one All-Star game.
I’ve been a Knicks fan since birth but I only started really paying attention to the team when they brought on one of the best power forwards in team history, Amar’e Stoudemire.
Stoudemire scored 25.3 points per game while grabbing 8.2 rebounds in his first season in the orange and blue.
What could the NY Knicks’ PF Depth chart look like this year?
The team decided to build around ‘STAT’ and his success by acquiring Carmelo Anthony, but unfortunately, the team weakened itself a bit too much with that trade and never made it past the 2nd round of the playoffs as a unit.
Another notable Power Forward, for all the wrong reasons, was Kristaps Porzingis.
Finally, it seemed that the Knicks’ fortunes were turning around after selecting the 7-foot-3 Latvian 4th overall in the 2015 NBA Draft.
The bulk of the fanbase was devastated by the choice but soon came around to Porzingis as he took over as the team’s 2nd best player in short order.
This resulted in an All-Star appearance in the 2017-18 season with a stat line of 22.7 points, 6.6 rebounds, and 2.4 blocks per game.
Unfortunately, the love affair with KP was short-lived, as he was no longer happy with his situation in New York and demanded a trade out.
Fortunately for the Knicks, the trade that was once viewed as a ‘fleecing’ by Dallas has no swung back in the Knicks’ favor pretty heavily.
I even wrote an article a while back detailing why I believed the Knicks did in fact win the trade, hands down.
As we can see, the Knicks have been led by Power Forwards for quite some time now, and it’s no different today.
Here’s a very early prediction of what the Knicks’ power forward depth chart could look like.