Great breakdown of the situation in Orlando around Paolo Banchero. It's interesting to think about how blameworthy a player should be for some contextual outcomes. You point quite out a handful of Banchero's limitations: he struggles without a rim protector, he doesn't play off the ball with cuts or spot ups, and he's not a good roller or a good spread shooter.
Those are all problems, and even if there are many hypothetical rosters that would work around all of those comfortably, in my opinion players should bear a bit of the blame for their weaknesses being hard to work around. It might feel odd to penalize a player for having an awkward roster around them, but on the flip side we should certainly credit players who have diverse enough skills to be clear net positives regardless of roster.
Thanks for pointing out the Isaac on/off splits. I am a big baseball fan, and a big proponent of analytics. However, while I enjoy the one number impact metrics (EPM, LEBRON, Darko, etc.), I hate when people use them as pure barometers of good and bad in the sport.
Clearly, Paolo is a flawed player who likely needs to improve his off ball game, but the impact metrics implying that he is terrible and Franz is some kind of god leads to some crazy biases on basketball twitter that are unfounded.
The magic would have almost zero offensive creation without Paolo and as you say, suffer from a lack of rim protection and spacing (it’s usually an either or with them)
I appreciate the comment! I think a lot of one number impact metrics are created as improvements on their predecessors - and despite their flaws, should be celebrated as advancements in the field. However, they are often misused by fans who are either genuinely confused on their derivation or are intentionally acting in disregard to their flaws.
I think it's always important to seek out context, and I have a few articles on this exact notion - analytics being a tool for us to find answers rather than being the answer itself. It's in this methodology that we can become better informed not just in basketball but in any field. If you have any topics you would want me to do a deep dive on, leave a comment or send me a message!
I, too, enjoy the new impact metrics and I’m so glad we don’t have to see PER everywhere anymore. I just very much agree with your point that it’s so important to seek context. However, it’s tough as I also fall victim to using the metrics when they confirm my biases.
Great breakdown of the situation in Orlando around Paolo Banchero. It's interesting to think about how blameworthy a player should be for some contextual outcomes. You point quite out a handful of Banchero's limitations: he struggles without a rim protector, he doesn't play off the ball with cuts or spot ups, and he's not a good roller or a good spread shooter.
Those are all problems, and even if there are many hypothetical rosters that would work around all of those comfortably, in my opinion players should bear a bit of the blame for their weaknesses being hard to work around. It might feel odd to penalize a player for having an awkward roster around them, but on the flip side we should certainly credit players who have diverse enough skills to be clear net positives regardless of roster.
Thanks for pointing out the Isaac on/off splits. I am a big baseball fan, and a big proponent of analytics. However, while I enjoy the one number impact metrics (EPM, LEBRON, Darko, etc.), I hate when people use them as pure barometers of good and bad in the sport.
Clearly, Paolo is a flawed player who likely needs to improve his off ball game, but the impact metrics implying that he is terrible and Franz is some kind of god leads to some crazy biases on basketball twitter that are unfounded.
The magic would have almost zero offensive creation without Paolo and as you say, suffer from a lack of rim protection and spacing (it’s usually an either or with them)
Hey Viraj,
I appreciate the comment! I think a lot of one number impact metrics are created as improvements on their predecessors - and despite their flaws, should be celebrated as advancements in the field. However, they are often misused by fans who are either genuinely confused on their derivation or are intentionally acting in disregard to their flaws.
I think it's always important to seek out context, and I have a few articles on this exact notion - analytics being a tool for us to find answers rather than being the answer itself. It's in this methodology that we can become better informed not just in basketball but in any field. If you have any topics you would want me to do a deep dive on, leave a comment or send me a message!
Thanks,
Joseph
Thank you for the response!!
I, too, enjoy the new impact metrics and I’m so glad we don’t have to see PER everywhere anymore. I just very much agree with your point that it’s so important to seek context. However, it’s tough as I also fall victim to using the metrics when they confirm my biases.