Top baserunners of 2009
This is a look at baserunning runs, excluding stolen base attempts. Here’s the basic method:
- For all plays, we consider the lead runner only.
- We figure out the average change in run expectancy for the lead runner for each non-discretionary running event – typically a ball in play (either a hit, error or out). Those plays are grouped by:
- The number of outs in the inning.
- The type of event – single, double, etc. (A fielder’s choice is considered an ordinary out.)
- For batting outs, whether the ball was hit in the air or on the ground.
- The position of the player who fields the ball.
- Then we figure the change in run expectancy for the lead runner on each individual baserunning play. For a non-discretionary event, we subtract the average value of that running play. For a discretionary running play, such as a wild pitch or passed ball, we do not – a runner is not penalized for the decision not to run.
That gives us our baserunning runs. Your leaders (and trailers) for 2009:
RUN_ID | Name | Runs | Chances |
bourm001 | Michael Bourn | 10.8 | 230 |
fowld001 | Dexter Fowler | 10.0 | 142 |
velee001 | Eugenio Velez | 7.6 | 90 |
figgc001 | Chone Figgins | 7.4 | 230 |
podss001 | Scott Podsednik | 7.0 | 169 |
philb001 | Brandon Phillips | 6.8 | 118 |
bonie001 | Emilio Bonifacio | 6.4 | 131 |
wrigd002 | David Wright | 6.3 | 172 |
sweer001 | Ryan Sweeney | 6.0 | 142 |
furcr001 | Rafael Furcal | 6.0 | 210 |
RUN_ID | Name | Runs | Chances |
morak001 | Kendry Morales | -4.1 | 123 |
moram002 | Melvin Mora | -4.1 | 89 |
posaj001 | Jorge Posada | -4.4 | 99 |
howar001 | Ryan Howard | -5.0 | 120 |
thomj002 | Jim Thome | -5.1 | 81 |
felip001 | Pedro Feliz | -5.1 | 153 |
wietm001 | Matt Wieters | -5.5 | 84 |
molib001 | Bengie Molina | -5.5 | 95 |
heltt001 | Todd Helton | -6.3 | 162 |
bardj001 | Josh Bard | -7.2 | 55 |
Your typical caveats apply – don’t read too much into a one year sample. Remember that players at the extremes during any sample tend to regress to the mean as the sample increases, etc.
The full list is available here.
As always, thanks for the hard work, and sharing your results Colin. A couple of interesting observations:
How in the world did Eugenio Velez manage to provide +7.6 runs in only 90 chances? He must be one heck of a baserunner!
Also, at +2.6 runs, Jacoby Ellsbury must be one of the most disappointing stolen base leaders out there! I have noted that he doesn’t seem to be as smart out there on the basepaths as he is fast, but I thought at least he’d beat out guys like Dustin Pedroia (+4.0 runs)!
Ellsbury gets a big boost if you include stolen bases – he leads the league in net stolen base runs (this isn’t based on play by play data, just standard linear weights) at 6.1 runs, followed by Bourn at 4.7. (Pedroia’s net SB runs are actually negative, at -0.15.)
[Since stolen bases are already counted in metrics like wOBA and EqR, I’ve presented a SB-free metric that you can combine with those metrics without worrying about double-counting.]