renesauz said:
What about his catch rate? Drops are already factored into that.
Catch rate is effectively 1 - drop rate - uncatchable pass rate
Why pickup the uncatchable pass rate as well if you have the more relevant data of drop rate?
Drops are already factored into that. I'm not sure how how drop rate could be more relevant if it's apart of the catch rate equation. Drop rate is a stand alone statistic that is less effective on its own. There's more to playing WR then that.
I think I understand what you are saying originally, but this seems unresponsive to my point.
It could be more effective on it's own because QB quality via uncatchable passes is ignored. If you have Tim Tebow vs. Peyton Manning throwing you the ball, you will have a lower catch rate with Tebow - but there shouldn't be much change in drop rate.
This is due to the nature of catch rate really being the aggregation of 2 things, the QB screwing up and WR screwing up. Drop rate focuses solely on WR screwups where as catch rate also absorbs the QB quality.
So why do you think that drop rate is less effective on its own?
Problem is that the WR does not then get extra credit for the one handed and otherwise acrobatic catches. Catches he makes that other WRs don't. It takes better hands to make these catches.
Further complicating things is that WR's playing with poor QBs get more poorly thrown balls. No matter how well/consistantly the rater throws out uncatchable balls, a poor QB provides more 50/50 calls, and half of 20 such calls is a lot more than half of 10 such calls. A WR with above average hands could have 8 drops on 20 balls while an average guy gets only 5 drops off 10 such balls. Without a HUGE swing in targets, the guy with above average hands could actually have a higher drop % than the average guy.
To throw yet another wrench in things, if a player plays on a generally bad team where he is a bigger focus of the game, he generally will get better coverage- more bumps to throw off his timing/route, hit more quickly when he does catch it because of double coverage and always drawing the opponents #1 CB. If you don't think those things impact a drop %, you're nuts.
IN the end, drop % is a very misleading stat that does an extremely poor job of qualifying a WRs hands on it's own, ESPECIALLY at the NCAA level. Context of QB quality, team quality, opponent quality, and unusual/acrobatic catches all need to be taken into account. Unsurprisingly, Mathews gets a bump from every one of those factors. Those arguing poor or below average hands are relying almost exclusively on "drop %"
Drop % and Catch % are still quantitative values you can actually quantify and use. They quantify drops/catches, each person may define a drop differently but generally it's a catch-able ball a player failed to secure. You can try and take into account the quality of whatever you want, but a drop is still a drop and a catch is still a catch. I don't need to see that number to questions Matthew's hands, I just have to watch him play.
Off of the drops topic for a minute, I was looking at the stats
here I linked earlier and was looking at NEY. It's a receiver stat where they try to take the QB out of the equation a bit:
Net Expected Yards (NEY). This is something I've been tinkering with. It's based around this premise: Let's pretend for a moment that a player's catch rate is mostly on the quarterback. The quarterback's job is to get the ball to the player, and the player's job is to gain yards. Simplistic? Absolutely. But we can make an estimate of a player's likely yards per catch based on the catch rate: higher catch rate, lower yards per catch (because of easier passes). With this figure, we determine a player's likely yards per catch, then compare it to the player's actual rate.
Net Expected Yards = Actual Receiving Yards - (Projected Yards Per Catch * Targets)
A positive NEY means the player gained more yards than projected. (The NEY/Target number, then, looks at the rate at which a player exceeds his projections.)
Matthews had a NEY of 187.5 which ranks really low on the list and a NEY / Tgt of
1.19 which is the lowest on there that I can see. This number goes to show the kind of passes he was getting - low yardage probably easily catch-able balls, the screens and such. But he didn't do much of anything with them...
Another top WR in this class got the same criticism with getting primarily short passes and screens... however his NEY was 342.8 with a NEY/tgt of
1.19. Seems like Mr Watkins was able to do much more with the opportunities he was given in similar situations.
Mike Evans absolutely crushed this stat, making me rethink him a bit. I actually think I like Matthews more than him but the guy eats when he gets the ball... and it makes sense with his size/speed.
ETA: I was trying to make sense of the RYPR and what exactly it's quantifying... they say it's answering these questions... 1) How much do you produce? 2) How important are you to your team's passing game? 3) How good is the passing game to which you are important? 4) And how much is the forward pass featured in your team's offense? What exactly does that mean to us though? Kind of puzzles me.