Phil Birnbaum praises a Bill James’s study that appears in the 1986 Baseball Abstract for giving simple but clear evidence that Joe Altobelli, then manager of the Orioles, was wrong about early season performance of power versus finesse pitchers. Altobelli hypothesized that power pitchers did better than finesse pitchers in April. Bill showed that not to be the case, that in his study, finesse pitchers did better.
When James conducted that study in the mid 1980s, he needed to do a lot of work by hand. Today, with a few queries, we can extend the study. Here’s what I did:
- Used seasons starting in 1986 so the studies don’t overlap.
- Used Bill’s criteria of a minimum of 25 decisions. He used two other criteria for selecting pitchers, but it seems that very few from the other two would make it past the 25 decision mark, especially in the era of five man rotations.
- I considered pitchers with K per 9 IP >= 8.0 to be power pitchers, <= 6.0 to be finesse pitchers.
- For a particular W-L record, I chose the pitcher with the highest K per 9 to be the power pitcher, and the one with the lowest K per 9 to be the finesse pitcher.
Here are the 44 pairs I found:
Pitcher | Season | Wins | Losses | Strikeouts per 9 | AprilW | AprilL |
Curt Schilling | 2001 | 22 | 6 | 10.27 | 3 | 0 |
Tom Glavine | 1993 | 22 | 6 | 4.51 | 3 | 0 |
Randy Johnson | 2001 | 21 | 6 | 13.41 | 3 | 3 |
Jack Morris | 1992 | 21 | 6 | 4.94 | 3 | 1 |
Roger Clemens | 1997 | 21 | 7 | 9.95 | 4 | 0 |
Jamie Moyer | 2003 | 21 | 7 | 5.40 | 3 | 2 |
Esteban Loaiza | 2003 | 21 | 9 | 8.23 | 5 | 0 |
Dave Stewart | 1989 | 21 | 9 | 5.41 | 5 | 0 |
Fernando Valenzuela | 1986 | 21 | 11 | 8.09 | 3 | 1 |
Kevin Brown | 1992 | 21 | 11 | 5.86 | 4 | 1 |
Johan Santana | 2004 | 20 | 6 | 10.46 | 1 | 0 |
Jamie Moyer | 2001 | 20 | 6 | 5.11 | 4 | 0 |
Roger Clemens | 1987 | 20 | 9 | 8.18 | 1 | 2 |
Bill Gullickson | 1991 | 20 | 9 | 3.62 | 2 | 0 |
Jake Peavy | 2007 | 19 | 6 | 9.67 | 3 | 1 |
Chien-Ming Wang | 2006 | 19 | 6 | 3.14 | 1 | 1 |
Randy Johnson | 2000 | 19 | 7 | 12.56 | 6 | 0 |
Chien-Ming Wang | 2007 | 19 | 7 | 4.70 | 0 | 2 |
Randy Johnson | 1993 | 19 | 8 | 10.86 | 3 | 1 |
Fausto Carmona | 2007 | 19 | 8 | 5.73 | 2 | 1 |
Justin Verlander | 2009 | 19 | 9 | 10.09 | 1 | 2 |
Pat Hentgen | 1993 | 19 | 9 | 5.08 | 3 | 1 |
Randy Johnson | 1998 | 19 | 11 | 12.12 | 1 | 1 |
Rick Reuschel | 1988 | 19 | 11 | 3.38 | 3 | 1 |
Jason Schmidt | 2004 | 18 | 7 | 10.04 | 1 | 2 |
Jon Garland | 2006 | 18 | 7 | 4.77 | 2 | 1 |
Justin Verlander | 2010 | 18 | 9 | 8.79 | 1 | 2 |
Joe Magrane | 1989 | 18 | 9 | 4.87 | 2 | 2 |
Mike Scott | 1986 | 18 | 10 | 10.00 | 3 | 2 |
Jon Garland | 2005 | 18 | 10 | 4.68 | 4 | 0 |
Roger Clemens | 1988 | 18 | 12 | 9.92 | 4 | 0 |
Jack Morris | 1991 | 18 | 12 | 5.95 | 2 | 3 |
Pedro Martinez | 1997 | 17 | 8 | 11.37 | 3 | 0 |
Kenny Rogers | 2006 | 17 | 8 | 4.37 | 4 | 2 |
Randy Johnson | 1999 | 17 | 9 | 12.06 | 2 | 1 |
Tim Hudson | 2010 | 17 | 9 | 5.47 | 1 | 1 |
David Cone | 1992 | 17 | 10 | 9.41 | 2 | 1 |
Allan Anderson | 1989 | 17 | 10 | 3.16 | 4 | 1 |
Curt Schilling | 1997 | 17 | 11 | 11.29 | 3 | 2 |
Jaime Navarro | 1992 | 17 | 11 | 3.66 | 1 | 2 |
Pedro Martinez | 2004 | 16 | 9 | 9.41 | 3 | 1 |
Allan Anderson | 1988 | 16 | 9 | 3.69 | 1 | 0 |
Nolan Ryan | 1989 | 16 | 10 | 11.32 | 3 | 1 |
Zane Smith | 1991 | 16 | 10 | 4.74 | 2 | 1 |
Hideo Nomo | 1996 | 16 | 11 | 9.22 | 4 | 2 |
Ed Whitson | 1989 | 16 | 11 | 4.64 | 3 | 2 |
Gio Gonzalez | 2011 | 16 | 12 | 8.78 | 2 | 2 |
Joe Blanton | 2006 | 16 | 12 | 4.96 | 3 | 2 |
Mike Scott | 1987 | 16 | 13 | 8.47 | 3 | 1 |
Ramon Ortiz | 2003 | 16 | 13 | 4.70 | 4 | 2 |
Randy Johnson | 2004 | 16 | 14 | 10.62 | 2 | 2 |
Kevin Appier | 1999 | 16 | 14 | 5.64 | 2 | 2 |
Javier Vazquez | 2009 | 15 | 10 | 9.77 | 2 | 2 |
Ron Darling | 1992 | 15 | 10 | 4.32 | 1 | 1 |
Jeff Fassero | 1996 | 15 | 11 | 8.62 | 1 | 3 |
Omar Olivares | 1999 | 15 | 11 | 3.72 | 2 | 2 |
Daisuke Matsuzaka | 2007 | 15 | 12 | 8.84 | 3 | 2 |
Walt Terrell | 1986 | 15 | 12 | 3.85 | 2 | 1 |
Johan Santana | 2007 | 15 | 13 | 9.66 | 3 | 2 |
Dennis Martinez | 1988 | 15 | 13 | 4.59 | 3 | 2 |
Curt Schilling | 1998 | 15 | 14 | 10.05 | 3 | 2 |
Greg Maddux | 2006 | 15 | 14 | 5.01 | 5 | 0 |
Kerry Wood | 2003 | 14 | 11 | 11.35 | 4 | 1 |
John Doherty | 1993 | 14 | 11 | 3.07 | 3 | 1 |
Hideo Nomo | 1997 | 14 | 12 | 10.11 | 3 | 2 |
Kirk Rueter | 2001 | 14 | 12 | 3.82 | 2 | 2 |
Todd Stottlemyre | 1998 | 14 | 13 | 8.28 | 3 | 1 |
Bill Gullickson | 1992 | 14 | 13 | 2.60 | 3 | 2 |
David Cone | 1991 | 14 | 14 | 9.32 | 2 | 1 |
Tom Browning | 1991 | 14 | 14 | 4.49 | 3 | 1 |
Yovani Gallardo | 2009 | 13 | 12 | 9.89 | 3 | 1 |
Scott Erickson | 1996 | 13 | 12 | 4.05 | 1 | 2 |
Madison Bumgarner | 2011 | 13 | 13 | 8.40 | 0 | 4 |
Bill Wegman | 1988 | 13 | 13 | 3.80 | 2 | 3 |
Tim Lincecum | 2011 | 13 | 14 | 9.12 | 2 | 3 |
Bob Walk | 1993 | 13 | 14 | 3.85 | 2 | 2 |
James Shields | 2010 | 13 | 15 | 8.28 | 3 | 0 |
Mike Moore | 1990 | 13 | 15 | 3.30 | 1 | 1 |
Colby Lewis | 2010 | 12 | 13 | 8.78 | 3 | 0 |
Jimmy Haynes | 2000 | 12 | 13 | 3.97 | 3 | 1 |
Randy Johnson | 1992 | 12 | 14 | 10.31 | 3 | 0 |
Walt Terrell | 1991 | 12 | 14 | 3.29 | 0 | 3 |
Javier Vazquez | 2008 | 12 | 16 | 8.64 | 3 | 2 |
Bud Black | 1991 | 12 | 16 | 4.37 | 1 | 3 |
Jake Peavy | 2006 | 11 | 14 | 9.56 | 1 | 3 |
Brad Radke | 1995 | 11 | 14 | 3.73 | 0 | 0 |
Chuck Finley | 2002 | 11 | 15 | 8.21 | 2 | 2 |
Carlos Silva | 2006 | 11 | 15 | 3.49 | 1 | 4 |
This time, however, if you add up the April numbers (including a few regular season games in March), the power pitchers come out ahead:
Pitcher Type | April Wins | April Losses | April ERA | April K9 |
Power | 114 | 61 | 3.21 | 9.67 |
Finesse | 103 | 62 | 3.98 | 4.23 |
Note that the difference in Won-Lost records is not all that great, but the power pitchers own a much lower ERA, something Bill didn’t study at the time.
There is one other thing to consider here. During much of Bill’s study, April was a short month as the season usually started in the second or third week of April. In other words, sample sizes were smaller in April. As double headers disappeared and more playoff games came into existence, the season almost always starts at the beginning of the month now, so sample size is a little less of an issue.
Maybe Joe Altobelli wasn’t as wrong as we thought at the time.
Update: I ran the automatic program for 1963-1985.
Pitcher Type | April Wins | April Losses | April ERA | April K9 |
Power | 79 | 48 | 2.93 | 9.19 |
Finesse | 77 | 57 | 3.02 | 3.57 |
Bill James classified power and finesse pairs by hand, and doesn’t explain in his article what he used to distinguish one from the other. He talks about one throwing hard and the other not. I suppose we could use average speed of pitches to get a reading on that, but in my mind a power pitcher strikes out a lot of batters and a finesse pitcher does not. Using my criteria, there were 37 pairs in the time period, and while some match James’s study, many do not.
Hmmmm … maybe the difference is that Bill just chose pairs arbitrarily, while you chose the extremes from each group?
Still, it’s shocking that your results are so much different from Bill’s. You got 79-48 for the power pitchers, he got 49-51. It’s like your “extra” pitchers went 30 and minus 2.
Your results are more expected than Bill’s — no real difference between power and finesse. I’m just shocked at how different the results are with basically the same methodology.
Strange …
Phil Birnbaum » Right. I was somewhat shocked by that. I almost want to program in the pitchers Bill used to see what their ERAs are like. I wonder if there was a dumb luck factor involved.
Makes sense, really. James, IIRC, also pointed out that most finesse pitchers–also against conventional wisdom–are more vulnerable to age-related loss of velocity issues hurting their performance than power pitchers, since a power pitcher whose fastball drops from 95 to 90 MPH still has major league velocity, while a finesse pitcher whose fastball drops from 85 to 80 really no longer has a fastball at all (with rare exceptions, such as a knuckleballer). If fatigue causes loss of velocity late in the season, one would expect to see a similar effect for finesse pitchers when comparing early and late season performance.