Here are Couturier's QOC numbers from 2014/15 (the comparable year to Bennett).
QOC by TOI%: 29.4
QOC by CF%: 50.18%
Here are Bennett's for last year
QOC by TOI%: 28.36
QOC by CF%: 49.72
Generally, the most paid attention to QOC measure is TOI%, in which there is a massive gap between the two. I don't think Bennett has the same underlying strengths you could point to with Couturier prior to his breakout. For the two seasons prior to his breakout Couturier had been an elite possession player playing against top lines. Prior to that in his D+4 season, while he wasn't strong possessionally, he was seeing way tougher competition and zone starts than Bennett ever has. He also was very clearly a center, something Bennett has struggled at when used there, seeing his best success when being attached to a play-driving center in Backlund.
I like CF metrics, but not in comparison. Someone and I had another long discussion about this on another thread. CF is basically a team stat... kinda the same as +\-. It doesn’t really show the entire story. You can, however, make it show the entire story, but it’s complex... pretty complex. You would have to take each player that he’s really played against going through the season you posted (2014/15) and make all of their underlying metrics /60 or whichever denomination as long as it’s equal. I just wouldn’t use CF to make much of an argument unless there’s truly an outstanding difference.. like a player changing the game because he drives play that much.
QOC is also something I don’t really like lol. Sorry to be this nit picky. I don’t look a lot into it, but my question is if it counts PP/PK usage. Both of those metrics can seriously change the way that value is set up. I take it you mean that 29.4% is against 3rd line competition? That doesn’t necessarily mean he played more against the 3rd line. Idk if you used Corsica or created your own algorithm... but as a comparison (reduces the error on the 29.4% to effectively 0) TOI/G/60 is merely measures me for this facet. Create the algorithm where TOI = TOI. That will show you, in this instance ONLY, how much each person was faced.
You understand what I mean by that? Let’s say:
X played 20 min and 5 on Pp/Pk. Let’s say that 9 min came against 3rd line. 60% QoCTOI% 3rd line.
Y played 20 min and 8 on Pp/Pk. Let’s say 9 min against 3rd line. 75% QoCTOI% 3rd line.
***Obviously a lot more goes into it, but I’m just trying to show my thinking. I’m not that familiar with it.
I don’t know how they come up with that stat, but when comparing... all of the used underlying stats have to have the same denomination and the metrics from QoC player metrics have to have the same denomination. Otherwise the result can be kinda convoluted.
I’m not extremely familiar with the QoCTOI% metric. A lot of these metrics, when comparing, are statistically flawed. There are ways to correct for that, but it’s kinda dumb for arguments like these.
Please correct me if I am wrong anywhere. Either that or message me privately so we don’t change the course of this thread.