Graph of the Day: Breaking Even on the Basepaths
It's common knowledge in sabermetric circles that it's not just the stolen base that's important, it's also the caught stealing. A base stealer is only valuable if the impact of his successful steals outweighs the times he's caught.
The rule of thumb is that you need to be successful close to 75% of the time in order for an attempted steal to be worth it. This is determined by looking at the expected run value of the success and the failure and calculating what is known as the breakeven point.
Expected run value is an okay way to figure out the breakeven point, but a better one is by using win value. Using win value takes into account the fact that stolen bases attempts generally occur in situations that are more important than average.
Update: I've had at least one request for the raw data, so I've posted it here for all that are interested.
As part of the preparation for my historical stolen base article at The Hardball Times, I calculated the actual average win value of both the stolen base and the caught stealing for each season the Retrosheet era (1954-2008).
This allowed me to figure out the breakeven point for each of those seasons and plot them on this graph.
Be a little bit careful in quoting these numbers though. For this to be the true breakeven point, we'd need to assume that managers and players have figured out the optimum times to run, which could be a poor assumption.
The proper way to do this (I think) is to figure out the breakeven point for each possible steal situation and then calculate the average by weighting how often each situation occurs.
My guess is that the game on the field is closer to efficient than many like to think, so I think the actual numbers will be fairly close to the right answer.
References
The Win Expectancy and Leverage Index data is licenced from http://www.InsideTheBook.com
The information used here was obtained free of charge from and is copyrighted by Retrosheet. Interested parties may contact Retrosheet at "www.retrosheet.org".
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Equation?
Good stuff. As the breakeven seems to track pretty well with the run scoring environment, is there an equation that will estimate the break-even point based on run scoring?
KJOK
by KJOK on Jun 22, 2009 12:59 PM EDT reply actions 0 recs
Equation is BE = 0.0576 * RPG + .4206
R2 = 0.8079
by Dan Turkenkopf on Jun 22, 2009 7:40 PM EDT up reply actions 0 recs
So what's the average LI of stolen base attempts?
And could you group attempts by LI and find the success rate?
How difficult would this be:
The proper way to do this (I think) is to figure out the breakeven point for each possible steal situation and then calculate the average by weighting how often each situation occurs.
Beyond the Boxscore // Calling BJ Upton lazy is lazy.
by Sky Kalkman on Jun 22, 2009 1:08 PM EDT reply actions 0 recs
Dave Pinto asked if I could add actual success rate as well.. so here goes

Actual success rate was well below breakeven until the mid 60s, then tracked it pretty well for a while and has since gone well above.
by Dan Turkenkopf on Jun 22, 2009 7:57 PM EDT reply actions 0 recs
ooh pretty graph
What’s with the success rat in the 1950’s?
St. Louis relievers... defying win expectancy since 2008
http://www.drivelinemechanics.com/
by vivaelpujols on Jun 22, 2009 9:10 PM EDT up reply actions 0 recs

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