They came out pass-heavy and stayed pretty pass-heavy except for a drive towards the end of the second quarter when it looked like they were killing time before the half. I don't agree with your characterization of the run game - Michel gained two yards or fewer on 9 of his 19 runs (one wiped out by holding), but he had three runs of 10+. It was hit or miss. The pass game was the consistent chain-mover.Did anyone else get the feeling that in the second half the Pats wanted to work on their passing game? They seemed to have no trouble getting 3-7 yards from Michel per play, yet they threw the ball anyway.
Isn’t that sort of how run games go? I mean, 18 for 98 with a TD is what it is. It’s 5 yards a carry and a TD, which is great.They came out pass-heavy and stayed pretty pass-heavy except for a drive towards the end of the second quarter when it looked like they were killing time before the half. I don't agree with your characterization of the run game - Michel gained two yards or fewer on 9 of his 19 runs (one wiped out by holding), but he had three runs of 10+. It was hit or miss. The pass game was the consistent chain-mover.
This immediately made me think, "why don't we use median yards per carry instead of average" - apparently I'm not the first person to make this observation.Isn’t that sort of how run games go? I mean, 18 for 98 with a TD is what it is. It’s 5 yards a carry and a TD, which is great.
Because there would be next to no differentiation. All you really need is an indexed standard deviation to get a sense of how a given runner's mean is being driven by outliers. And pretty much any run over 15 yards is an outlier.This immediately made me think, "why don't we use median yards per carry instead of average" - apparently I'm not the first person to make this observation.
I don't disagree with you, but it runs counter to the idea that Michel was gaining 3-7 yards consistently, which is what I was responding too.Isn’t that sort of how run games go? I mean, 18 for 98 with a TD is what it is. It’s 5 yards a carry and a TD, which is great.
Speaking of, I thought Michel was great at being patient and reading the block. It seems clear that he does not possess Lewis-esque twitchy moves (gone with the knee injuries?).well, not LeVeon Bell-ing your fresh new star-in-the-making RB is probably a factor too.
Interesting. I’ve always just assumed it evens out over the season or even after 100 carries or so but maybe not.This immediately made me think, "why don't we use median yards per carry instead of average" - apparently I'm not the first person to make this observation.
Gotcha. Yeah, I agree.I don't disagree with you, but it runs counter to the idea that Michel was gaining 3-7 yards consistently, which is what I was responding too.
It's worth noting how big the difference between a high variance and low variance 5.0 YPC can be.Isn’t that sort of how run games go? I mean, 18 for 98 with a TD is what it is. It’s 5 yards a carry and a TD, which is great.
Because there would be next to no differentiation. All you really need is an indexed standard deviation to get a sense of how a given runner's mean is being driven by outliers. And pretty much any run over 15 yards is an outlier.
This pretty much gets at what I was thinking. I see that a std deviation stat would also give this, but doesn't using the median shift things toward de-emphasizing the outliers naturally?It's worth noting how big the difference between a high variance and low variance 5.0 YPC can be.
To take a fairly extreme example, let's give two RBs four runs on 1st and 10 from the 50.
RB1 runs for -1, 0, 1, and 20 yards, worth -0.65, -0.58, -0.46, and +1.28 Expected points, a total of -0.41
RB2 runs for 3, 4, 6, and 7 yards, worth -0.15, +0.01, +0.29, and +0.44 Expected Points, a total of +0.59
Thats a swing value of an entire expected point, purely from how those 20 yards are distributed.
Barry Sanders was kind of like this. Lots of runs where he lost yardage or got nothing, but then a handful of absolutely explosive runs in a game. Very different than a guy like Emmitt Smith, who obviously had a lot of long runs over his career but was more of a consistent 4-6 yard guy.This pretty much gets at what I was thinking. I see that a std deviation stat would also give this, but doesn't using the median shift things toward de-emphasizing the outliers naturally?
These things come into my mind quite often when they are talking about Bryce Love (Stanford running back) who will have runs of 1,3,1,55,3,3,4,38 and so forth. Even though he is a great runner, a few stuffed/crappy rush attempts really stall a drive.
Success Rate is probably the best available simple statistic for evaluating RB performance. It implicitly accounts for at least some value form variance and situational performance, and correlates better with winning than YPC does.This pretty much gets at what I was thinking. I see that a std deviation stat would also give this, but doesn't using the median shift things toward de-emphasizing the outliers naturally?
These things come into my mind quite often when they are talking about Bryce Love (Stanford running back) who will have runs of 1,3,1,55,3,3,4,38 and so forth. Even though he is a great runner, a few stuffed/crappy rush attempts really stall a drive.
No. At least not in the context of this conversation.This pretty much gets at what I was thinking. I see that a std deviation stat would also give this, but doesn't using the median shift things toward de-emphasizing the outliers naturally