On Jason Giambi’s baserunning efficiencyBy
I was perusing Joel Sherman’s latest blog post about Melky Cabrera and Brett Gardner last night when I came across an initially dismaying line. It is, on its face, the prime example of the anti-Moneyball approach to baseball. Wrote Sherman:
But when not hitting a homer, Giambi was – in many respects – an on-base detriment. He was station-to-station. He offered no threat on the bases. He scored nearly as many runs (32) via his own homers as all the other ways (36) combined, which also includes trotting home on other’s homers.
My kneejerk reaction to that statement — an on-base detriment — is to simply shake my head and move on. Joe Morgan and Dusty Baker hate players who “clog the bases” even when it’s been proven beyond a doubt that runners on base help a team score runs. That is, after all, the goal of baseball, and people who talk like Sherman did generally aren’t making valid points.
But then I got to thinking: What if Sherman is on to something here? Could a player be so slow that, while not a detriment, he underperforms on the base paths? Let’s find out.
In a way, Jason Giambi was remarkably inefficient on the base paths last year. With an OBP of .373 in 565 plate appearances, he reached base 211 times last year. He scored just 68 runs for a conversion rate of just 32.2 percent. As Sherman notes, when we omit Giambi’s home runs, he scored 36 runs in 179 times on base. That means that in just 20 percent of his non-home run times on base, Jason Giambi scored a run.
That doesn’t seem too impressive until we bring in Giambi’s overall numbers. Throughout his career, Giambi has scored 35 percent of the time after getting on base. If we eliminate his home runs, he has scored 26 percent of the time after getting on base.
But now we’re just looking at Giambi in a vacuum. Let’s see how the Yankees performed as a team in these situations. Counting the home runs, the Yankees turned 36.8 percent of their baserunners into runs. Discounting home runs, they turned 31.1 percent of their runners into runs. On a larger level, the American League numbers were 36.8 percent counting home runs and 31.5 percent without the home runs.
In other words, while Jason Giambi was just four percent worse at scoring overall than league average, he was nearly 10 percent worse at scoring in non-home run situations.
So what then does all of this mean? After all, Jason Giambi had a net positive effect on the Yankees in 2008 and had, by any account, a good season. Well, for starters, that combination of speed and power is quite valuable. A-Rod, for example, in his career has scored nearly 45 percent of the time he gets on base and 35 percent of the time in non-home run situations.
While the next obvious conclusion is that Jason Giambi, as he aged and slowed down, become a problem on the base paths, but that’s not one we can readily make. After all, Giambi’s scoring is as much a function of the guys hitting behind him as it is his own speed. For much of last year, the guys hitting behind Giambi included Robinson Cano, Melky Cabrera, Wilson Betemit and Jose Molina. That was not a pretty bunch offensively, and they could very well be the reasons why Giambi’s percentage of runs scored not off of home runs was so slow.
Maybe, though, just maybe, Joel Sherman isn’t far off the mark. Maybe exceedingly slow — exceptionally slow, painfully slow — baserunners can slow a team down. It would require a lot more research, but as baseball analysis is all about challenging the norms, it’s an idea that shouldn’t be dismissed out of hand even if it runs counter to the Shrine of the On-Base Percentage.