Punch Drunk Wonderland

Who could be this year’s Todd Gurley?

Via our friends at numberFire.

Maybe you couldn’t have seen it coming to the degree in which it came, but you could’ve at least seen it coming.

Todd Gurley was bound to hit some sort of wall during his Sophomore season. Because his Freshman year just wasn’t sustainable.

And this isn’t annoyingly stupid hindsight analysis. We wrote about it here at numberFire: Gurley’s rookie season saw ridiculous efficiency despite his overall body of work lacking the type of numbers you’d like to see given that efficiency.

Allow me to explain.

Unsuccessful Runs

At numberFire, we often use a metric called Net Expected Points (NEP), which helps determine the number of points (real ones) a player is adding (or losing) for his team versus expectation. If you want to learn more about the metric, check out our glossary.

In 2015, Gurley was pretty efficient within the metric. Among the 44 running backs with 100 or more carries that season, he was 5th in Rushing NEP per rush. That’s why we were — and, to be honest, still are — so excited about Gurley’s potential in the league.

As we know, though, an average can be skewed. That’s why yards per carry and something like Rushing NEP per rush, stand alone, don’t always tell you the entire story. When you combine Success Rate — the percentage of positive runs made by a running back — you can start to understand the tale a little better.

If a player has a high Success Rate with low per-rush efficiency, it tells us that, while he was consistently making positive plays, he wasn’t doing so with big, overly effective runs.

On the opposite end, we’ve got Gurley’s rookie season: One with strong per-rush efficiency and a low Success Rate.

He was making a living off of big runs.

And that’s unsustainable.

Here’s a look at the 86 instances where a running back has carried the ball 100 or more times over the last two years, charting Rushing NEP per rush versus Success Rate. As you’ll see, Gurley’s first year in the league wasn’t all that normal.

Given Gurley’s per-rush average, we would’ve expected him to have a Success Rate of 42.83% during his rookie season. Instead, it was 36.24%. That difference — 6.58% — was the second-largest difference seen among the entire 86 running back sample.

In other words, Gurley was overperforming like a mad man.

And in 2016, he made fantasy owners mad, man.

(I’m so sorry for that.)

2017 Candidates

What was it that made Gurley a high-end fantasy football draft pick in 2016? Well, he performed at a high level in 2015 as a lead back, and he had a lot of unknown upside given the limited sample from which we were drawing.

This super-scientific reasoning leads us to three backs who could theoretically be this year’s Todd Gurley: Melvin Gordon, Jordan Howard, and Jay Ajayi.

I hope you’re nodding your head in approval.

Let’s take a glance at the same chart above, but this time, we’ll highlight the 2016 seasons for Gordon, Howard, and Ajayi, who all finished as top-12, RB1 backs in fantasy football last year.


Visually, it appears as though Melvin Gordon is that dude. He’s the one who overperformed in efficiency given his overall Success Rate. He’s the one who profiles closest to 2015’s Todd Gurley.

Mathematically, that’s the case, too. In fact, of the 86 running backs in the sample, Gordon’s actual Success Rate versus his expected Success Rate saw the eighth-largest discrepancy in the wrong direction. Remember, Gurley’s was the second-largest.

Continue reading at numberFire.com… (@numberfire)

 

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