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Random and Responsive Performance by Starting Pitchers—Part II

July 10, 2010

IV.   Morgan and Burkett

 

We are dealing here with the issue of whether some pitchers may have an ability to pitch especially well when they have an opportunity to win the game.  Let us contrast Mike Morgan with John Burkett.   Morgan made 411 starts in his career; Burkett made 423.    Morgan had a career ERA of 4.23; Burkett, of 4.31.   Morgan allowed 4.65 runs per nine innings, earned and un-earned; Burkett allowed 4.67.   Morgan pitched from 1978 to 2002: Burkett, from 1987 to 2003.   The two were teammates with the Rangers in 1999.

Yet while Morgan was 45 games under .500 in his career, Burkett—with essentially the same numbers, in the same era--was 30 games over .500.   Yes, offensive support did have a good deal to do with that.   Burkett did pitch for better teams.   Had Burkett had the same won-lost record as the rest of his team in every season, his career record would have been 159-143, whereas Morgan, as we said yesterday, would have been 162-165.

But Burkett also pitched better when he needed to pitch better to get a win.

John Burkett was shut out 20 times in his career, and his personal won-lost record in those games was 0-19; Morgan was shut out 28 times, and his personal won-lost record in those games was 0-27.    Morgan took a bigger hit, yes, but the two pitchers’ winning percentages, when they were shut out, were the same:

 

Working with 0 runs

Morgan

0-27

.000

Burkett

0-19

.000

 

Of course, all pitchers have a .000 winning percentage when they are shut out, it being impossible to win those games.

Morgan also had more games in his career in which he was limited to one run, 42 to 33.   But you can win a game with one run, if you pitch well enough, and Burkett did this more times in his career than did Morgan:

Working with 1 run

Burkett

3-25

.107

Morgan

2-35

.054

 

Advantage, Burkett—a one-game advantage.

Mike Morgan had 65 starts in his career in which his team scored 2 runs; Burkett had 61.  Burkett won 13 of those games; Morgan, 3.

 

Working with 2 runs

Burkett

13-38

.255

Morgan

3-45

.063

 

Advantage, Burkett—and this time it’s a big one.   Given just 2 runs to work with, Burkett rose to the occasion 13 times, Morgan only 3 times.   It looks like a ten-game advantage for Burkett, although it’s actually less than that.

 

Working with 3 runs

Morgan

21-34

.382

Burkett

15-28

.349

 

Advantage, Morgan—a one- or two-game edge.   But working with four runs:

 

Burkett

18-11

.621

Morgan

20-19

.513

 

Advantage, Burkett—another three games or thereabout.  Working with five runs:

 

Burkett

20-  4

.833

Morgan

20-10

.667

 

Advantage, Burkett.   Working with six runs:

 

Burkett

18-4

.818

Morgan

16-4

.800

 

Advantage, Burkett.   Morgan does have a one- or two-game advantage when working with seven runs:

 

Morgan

10-1

.909

Burkett

17-4

.810

 

But when working with eight or more, Burkett is back ahead:

 

Burkett

59-1

.983

Morgan

35-3

.921

 

 

V.  Method

 

Burkett clearly did a better job of rising to the occasion, over the course of his career, than did Morgan, and this clearly had value to his teams.   But how do we quantify that value?

Of course, I have examined this issue many times before over the course of the years, I think most recently in something published here about Bert Blyleven and Don Sutton.   But while I have studied this issue before many times, the two new methods that I have to offer here are, I am confident, the best methods I have ever developed to address this issue, this “ability to respond” by a starting pitcher. 

Here’s what I did.   What we’re trying to calculate here is the pitcher’s “effective runs allowed rate”, based on his ability to win the game with a given level of offensive support.

Of course, no pitcher has any ability to win the game when his team is shut out, therefore it’s not relevant data to what we’re trying to calculate, therefore we’ll set that data aside for right now.

At the other levels of run support, we’re going to work not with the pitcher’s individual won-lost record, but rather, with the won-lost record of his team.   I believe that this gives us a better working platform.   Suppose that two pitchers both have won-lost records of 16-4 when supported by 7 runs, but that one pitcher’s team is 17-5 in those games, while the other pitchers’ team is 17-11.   The bullpen has lost the game for his team six more times, but are those six extra losses relevant to establishing the performance level of the starting pitcher?

Yes, of course they are.   If you leave with the ballgame 7-6, there is a very good chance that your bullpen is going to blow the game for you.   If you leave with the ballgame 7-0, there is very little chance that the bullpen is going to give it away.   The team performance record, in my view, gives a more thorough look at what has really happened than the individual record.

OK, we’ll work with three pitchers here:  John Burkett, Mike Morgan and Whitey Ford.   When the team scored one run with this pitcher on the mound, John Burkett’s teams were 3-30, Mike Morgan’s teams were 3-39, and Whitey Ford’s teams, within the games documented by Retrosheet, were 10-28 with one tie. 

 

Burkett with 1 run

3–30

Morgan with 1 run

3–39

Whitey Ford with 1 run

10–28

 

We know how many runs the pitcher’s team had to work with in those games, right?   It’s one run a game.   Burkett’s teams had 33 runs to work with, Morgan’s teams had 39, Ford’s teams had 38:

 

Burkett with 1 run

3 – 30

33 runs

Morgan with 1 run

3 – 39

42 runs

Ford with 1 run

10 – 28

38 runs

 

Now it’s Sabermetrics 101.   If Team A scored 33 runs in a set of games and their won-lost record was 3-30, how many runs did they probably allow?    Apply the Pythagorean Formula.   To get Burkett’s “effective runs allowed” we take the losses (30), divided by the wins (3), take the square root of that, multiply by 33:

 

Burkett with 1 run

3 – 30

33 runs for

104 runs allowed

Morgan with 1 run

3 – 39

42 runs for

151 runs allowed

Ford with 1 run

10 – 28

38 runs for

64 runs allowed

 

Divide the runs allowed by the games, and you have the effective runs allowed rate:

 

Burkett with 1 run

104 runs in 33 games

3.16 runs per game

Morgan with 1 run

151 runs in 42 games

3.61 runs per game

Ford with 1 run

64 runs in 38 games

1.67 runs per game

 

 

What I am saying is not that Burkett allowed 3.16 runs 9 innings in these games, but that his teams won with the frequency expected if he allowed 3.16 runs per game.  

 

With 2 runs to work with, Burkett’s teams were 15-46, which is pretty good, but Ford’s teams were 19-22, which is really good.  Applying the same method, one can calculate the effective runs allowed rate for each pitcher, working with 2 runs:

 

Burkett with 2 runs

15-46

214 runs in 61 games

3.50 runs per game ERAR

Morgan with 2 runs

9-56

324 runs in 65 games

4.99 runs per game ERAR

Ford with 2 runs

19-22

88 runs in 41 games

2.15 runs per game ERAR

 

ERAR standing for “Effective Runs Allowed Rate”; I despise acronyms, but sometimes you’ve got to do what you’ve got to do.  

 

And we can compare them when working with 3 runs:

 

Burkett with 3 runs

24-37

227 runs in 61 games

3.72 runs per game

Morgan with 3 runs

27-39

238 runs in 66 games

3.61 runs per game

Ford with 3 runs

45-30

184 runs in 75 games

2.45 runs per game

 

At the level of three runs to work with, as mentioned before, Morgan was better than Burkett, although neither one of them was Whitey Ford.

 

 

VI. The Other Method

 

At this point we could rush ahead to our conclusion, but perhaps it is more fun to stop and admire the data a little bit, make some use of our other method, shake out the problems and challenges of the method, and then work back to our conclusion.

 

Of course, no pitcher won any games in which his team was shut out, but the pitcher who was shut out most often was Nolan Ryan, who was victimized by 66 shutouts in his career.   But these games are excluded from the studies of Effective Runs.

 

Working with one run, the number one pitcher in the data was Dean Chance, 1964 Cy Young Award winner.    Chance’s teams, in his career, were 17-41 when they scored just one run.   The overall winning percentage of teams that scored 1 run, in the Retrosheet data, was .101.   Chance’s teams were 11 games better than expectation in that situation.

These were the top ten pitchers in games with just one run to work with:

 

 

First

Last

Games

Team W

Team L

Gain

Won

Lost

 

Dean

Chance

58

17

41

11.1

16

35

 

Greg

Maddux

84

19

65

10.5

16

61

 

Nolan

Ryan

104

19

85

8.5

14

75

 

Sandy

Koufax

33

11

22

7.7

11

19

 

Gaylord

Perry

86

16

69

7.4

13

64

 

Bert

Blyleven

85

15

70

6.4

15

65

 

Chuck

Finley

56

12

44

6.3

10

40

 

Ferguson

Jenkins

57

12

45

6.2

12

42

 

Whitey

Ford

39

10

28

6.2

8

27

**

Carl

Morton

31

9

22

5.9

7

18

 

Chance individually was 16-35 in games with just one run to work with; his teams were 17-41.   These, on the other hand, were the pitchers with the worst won-lost records while working without a net:

 

 

First

Last

Games

Team W

Team L

Gain

Won

Lost

**

Steve

Rogers

47

1

46

-3.7

1

44

 

Jon

Lieber

32

0

32

-3.2

0

25

 

Bartolo

Colon

31

0

31

-3.1

0

26

 

Jack

Fisher

40

1

39

-3.0

1

33

 

Bill

Gullickson

39

1

38

-2.9

1

33

 

Pete

Falcone

29

0

29

-2.9

0

27

 

Bill

Wegman

29

0

29

-2.9

0

26

 

John

Smoltz

38

1

37

-2.8

1

32

 

Derek

Lowe

28

0

28

-2.8

0

24

 

John

Thomson

28

0

28

-2.8

0

26

 

Carl Morton was the National League rookie of the year in 1970; Steve Rogers could have won the same award for the same team three years later, although he didn’t.   Rogers certainly had a better career than Morton—but Morton’s teams were 9-22 when working with just one run, while Rogers’ teams were 1-46.    But working with two runs, Rogers was 22-37—a very good record—while Morton was 5-28.    Morton beats Rogers by ten games in games with one run; Rogers beats Morton by ten games in games with two runs.    The overall winning percentage of all teams with 2 runs to work with was .247, and these were the top ten pitchers in those games:

 

 

First

Last

Games

Team W

Team L

Gain

Won

Lost

 

Tom

Seaver

91

43

48

20.6

38

38

 

Randy

Johnson

76

35

41

16.3

30

31

 

Mike

Cuellar

56

30

26

16.2

27

21

 

Bob

Gibson

66

31

34

15.0

28

31

 

Vida

Blue

68

29

39

12.2

26

35

 

Sandy

Koufax

48

24

24

12.2

20

19

 

Steve

Carlton

102

37

65

11.8

34

55

 

Phil

Niekro

103

36

66

10.8

32

57

 

Al

Downing

55

24

31

10.4

19

21

 

Claude

Osteen

68

27

41

10.2

21

32

 

Tom Seaver pitched .500 ball when his teams scored just two runs (38-38), and his teams over-achieved in those games by twenty-plus games.   I don’t know that that’s more amazing than Mike Cuellar.   Cuellar was 27-21 in his career when his team scored two runs for him.  Now that’s impressive. 

On the other end of that scale was our friend Mike Morgan:

 

 

First

Last

Games

Team W

Team L

Gain

Won

Lost

 

Mike

Morgan

65

9

56

-7.0

3

45

 

Jim

Colborn

35

2

33

-6.6

2

27

 

Tony

Cloninger

30

1

29

-6.4

1

25

 

Pete

Schourek

31

2

29

-5.6

2

21

 

Bryn

Smith

39

4

35

-5.6

2

27

 

Don

Cardwell

44

5

38

-5.6

5

36

 

Mike

Moore

55

8

47

-5.6

7

41

 

Eric

Milton

27

1

25

-5.4

1

19

 

Jesse

Jefferson

29

2

27

-5.2

2

25

 

Frank

Tanana

100

20

80

-4.7

18

68

 

 

Let’s start tracking the aggregate performance.   Tom Seaver, based on his strong performance in games with two runs, is now in first place:

 

 

First

Last

Total 1-2

 

Tom

Seaver

25.7

 

 

Greg

Maddux

20.6

 

 

Mike

Cuellar

19.8

 

 

Sandy

Koufax

19.8

 

 

Nolan

Ryan

18.4

 

 

Bob

Gibson

18.1

 

 

Steve

Carlton

17.7

 

 

Randy

Johnson

17.6

 

 

Gaylord

Perry

16.3

 

 

Bert

Blyleven

15.8

 

 

While Mike Morgan and Livan Hernandez are bringing up the rear:

 

 

First

Last

Total 1-2

 

Mike

Morgan

-8.3

 

Livan

Hernandez

-7.2

 

Mike

Moore

-7.1

 

I’m referencing a different method here, of course.   My basic, serious method for analyzing this data is the one I was working with in the last section, but to compile these charts, I’m doing something different.   Since the winning percentage of teams that scored two runs in a game was .247, I’m comparing each pitcher to a .247 winning percentage.   Tom Seaver, at two runs, was twenty games better than a .247 winning percentage.    There are problems with that method, which I will leave you to spot on your own, but it’s still useful, and as we will see it produces a list of the best pitchers which is pretty solidly identifiable as a list of the best pitchers.   

 

Three runs.   The number one pitcher, at being able to win the game with three runs, was Seaver’s American League contemporary and rival, Jim Palmer:

 

 

First

Last

Games

Team W

Team L

Gain

Won

Lost

 

Jim

Palmer

86

55

31

21.6

47

28

 

Don

Sutton

116

65

51

19.9

52

33

 

Bob

Gibson

86

50

36

16.6

44

31

 

Greg

Maddux

118

62

56

16.2

46

44

 

Tommy

John

103

56

47

16.0

41

32

 

Nolan

Ryan

116

61

55

15.9

51

43

 

Whitey

Ford

75

45

30

15.9

34

18

 

Sam

McDowell

69

41

28

14.2

30

21

 

Vida

Blue

80

45

35

13.9

38

29

 

Tom

Seaver

113

57

56

13.1

51

40

 

Palmer won almost two-thirds of his games, given three runs to work with, but Seaver is on the good list again, while Sandy Koufax, for a change, is not.   The overall winning percentage of starting pitchers working with three runs was .396.  But Pat Rapp, given three runs to work with, was 3-21:

 

 

 

First

Last

Games

Team W

Team L

Gain

Won

Lost

 

Pat

Rapp

33

5

28

-7.8

3

21

 

Tim

Belcher

46

11

35

-6.9

8

26

 

Brad

Radke

64

18

46

-6.9

13

32

 

Seaver is still in first place, Palmer moving up to third:

 

 

First

Last

Total 1-3

 

Tom

Seaver

38.8

 

Greg

Maddux

36.7

 

Jim

Palmer

35.2

 

Bob

Gibson

34.7

 

Nolan

Ryan

34.3

 

Whitey

Ford

30.9

 

Don

Sutton

30.7

 

Sandy

Koufax

30.6

 

Vida

Blue

28.2

 

Gaylord

Perry

28.1

 

 

While Pat Rapp has now claimed the bottom of the chart.

 

 

 

First

Last

Total 1-3

 

Pat

Rapp

-12.8

 

Paul

Byrd

-11.1

 

Jim

Abbott

-10.6

 

Mike Morgan, with a positive performance at the three-run level (27-39), has escaped not merely the last spot, but the bottom 40.  Are you rooting for somebody here?   You should pick out somebody to root for; it makes the competition more fun.   And where’s Clemens, by the way?  Are he and Mindy in a back closet or something?

 

These are the overall winning percentages, for teams and starting pitchers, with each level of offensive support:

 

 

 

 

 

Starting

 

 

Team

 

Pitcher

 

 

Winning

 

Winning

 

 

Percentage

 

Percentage

 

0 Runs

.000

 

.000

 

1 Run

.101

 

.098

 

2 Runs

.247

 

.242

 

3 Runs

.389

 

.396

 

4 Runs

.528

 

.564

 

5 Runs

.641

 

.707

 

6 Runs

.727

 

.815

 

7 Runs

.802

 

.875

 

8 Runs or More

.907

 

.957

 

 

OK, four runs.   At the four-run level, the most effective pitcher at delivering a win for his team was Roger Clemens:

 

 

First

Last

Games

Team W

Team L

Gain

Won

Lost

 

Roger

Clemens

97

72

25

20.8

56

19

 

Nolan

Ryan

100

70

30

17.2

55

21

 

David

Cone

65

48

17

13.7

33

13

 

Bob

Welch

67

47

20

11.6

36

13

 

Steve

Carlton

89

58

31

11.0

47

17

 

Larry

Dierker

38

31

7

10.9

25

7

 

Dave

McNally

61

43

18

10.8

35

10

 

Ron

Guidry

56

40

16

10.4

34

11

 

Warren

Spahn

58

41

17

10.4

37

14

 

Al

Leiter

64

44

20

10.2

35

10

 

Clemens’ winning percentage, given four runs to work with, was just short of .750, both for him individually and for the team. 

In a way, these groups are like “years” of a player’s career.   We add up what the players did in 1991, in 1992, in 1993, etc.  Probably the same pitcher wasn’t the #1 guy each year; one year it was Clemens, another year it was Maddux, another year it was The Unit.   We add them together to form a picture of the whole.   Same here; some guys do great in one group of games, some guys in another.   It’s a competition.

In first place in the competition, right now, is Nolan Ryan:

 

 

First

Last

Total 1-4

 

Nolan

Ryan

51.5

 

Tom

Seaver

46.1

 

Greg

Maddux

45.3

 

Jim

Palmer

45.2

 

Bob

Gibson

44.0

 

Sandy

Koufax

40.5

 

Roger

Clemens

38.7

 

Don

Sutton

37.9

 

Gaylord

Perry

36.3

 

Steve

Carlton

36.2

 

Our leaders’ list is now a Hall of Famers’ competition.  The pretenders have gone home.    Dick Stigman some how managed to win only 3 of 21 games, given four runs to work with:

 

 

First

Last

Games

Team W

Team L

Gain

Won

Lost

 

Dick

Stigman

21

3

18

-8.1

3

6

 

Brett

Tomko

36

11

25

-8.0

8

17

 

Woodie

Fryman

41

14

27

-7.6

10

12

 

While Jeff Suppan Sanwiches has moved to the bottom of the summary competition:

 

 

First

Last

Total 1-4

 

Jeff

Suppan

-14.5

 

Livan

Hernandez

-14.0

 

Jeff

Weaver

-14.0

 

Suppan was 4-35 with one run—average performance—but was 6-31 with two runs (-3 games), 14-33 with three runs (-4), and 25-36 with four runs (-7), quietly drifting to the very back of the list. 

 

Working with five runs, Tom Seaver returns to the top:

 

 

First

Last

Games

Team W

Team L

Gain

Won

Lost

 

Tom

Seaver

78

62

16

12.0

51

7

 

Don

Drysdale

56

47

9

11.1

37

3

 

Whitey

Ford

39

36

3

11.0

27

2

 

Randy

Johnson

75

58

17

9.9

45

9

 

Warren

Spahn

44

38

6

9.8

30

3

 

Sandy

Koufax

38

34

4

9.6

22

1

 

Don

Sutton

77

59

18

9.6

48

9

 

Bert

Blyleven

90

67

23

9.3

52

13

 

Phil

Niekro

84

63

21

9.1

49

8

 

Tom

Glavine

81

61

20

9.1

49

12

 

And this puts Seaver back in the driver’s seat in the overall competition:

 

 

First

Last

Total 1-5

 

Tom

Seaver

58.1

 

Nolan

Ryan

56.5

 

Jim

Palmer

53.3

 

Greg

Maddux

53.0

 

Sandy

Koufax

50.1

 

Don

Sutton

47.5

 

Roger

Clemens

46.7

 

Bob

Gibson

45.7

 

Whitey

Ford

45.2

 

Steve

Carlton

44.8

 

Mark Clark, Aaron Cook and Brian Anderson managed to lose consistently with five runs of support:

 

 

First

Last

Games

Team W

Team L

Gain

Won

Lost

 

Mark

Clark

29

10

19

-8.6

8

12

 

Aaron

Cook

24

8

16

-7.4

7

6

 

Brian

Anderson

30

12

18

-7.2

8

9

 

Which puts Anderson in last place overall:

 

 

First

Last

Total 1-5

 

Brian

Anderson

-20.2

 

Jason

Johnson

-18.7

 

Steve

Trachsel

-17.8

 

You will notice, however, that some of the totals are getting smaller.   At two, three and four runs, the leading pitchers were 20 games better than average.   At five runs, this number dropped to 12, and at six runs, it will drop to single digits:

 

 

First

Last

Games

Team W

Team L

Gain

Won

Lost

 

Roger

Clemens

70

59

11

8.1

43

0

 

Jim

Bunning

51

45

6

7.9

35

3

 

Steve

Carlton

65

55

10

7.7

43

4

 

Mike

Mussina

59

50

9

7.1

40

3

 

Whitey

Ford

44

39

5

7.0

31

0

 

Jim

Palmer

47

41

6

6.8

29

2

 

Bob

Gibson

39

35

4

6.6

31

3

 

Jack

Morris

52

44

8

6.2

38

2

 

Ferguson

Jenkins

41

36

5

6.2

27

4

 

Rudy

May

30

28

2

6.2

15

0

 

 

Clemens had 70 games with six runs, still a very large number, but the “advantage/ disadvantage” numbers are shrinking rapidly because the overall winning percentage is approaching 1.000.    Clemens was 43-0 when he team scored six runs, but then, the overall winning percentage for starting pitchers working with six runs was .815.   Starting pitchers don’t lose a lot of games when the team scores six.   Although Mark Davis’ teams lost a lot:

 

 

First

Last

Games

Team W

Team L

Gain

Won

Lost

 

Mark

Davis

13

3

10

-6.5

2

0

 

Joe

Kennedy

17

6

11

-6.4

4

4

 

Terry

Mulholland

36

20

16

-6.2

15

6

 

Mark Davis was 5-17 as a starting pitcher in 1984, and there are ten losses here that didn’t go to him as a starter.  But he moved to the bullpen and won a Cy Young Award as a reliever.  With time running out, Tom Seaver solidifies his hold on the top spot:

 

 

First

Last

Total 1-6

 

Tom

Seaver

63.9

 

Jim

Palmer

60.2

 

Nolan

Ryan

58.9

 

Greg

Maddux

58.0

 

Roger

Clemens

54.8

 

Sandy

Koufax

53.8

 

Don

Sutton

53.5

 

Steve

Carlton

52.5

 

Bob

Gibson

52.3

 

Whitey

Ford

52.2

 

While Jason Johnson has taken over the bottom:

 

 

 

First

Last

Total 1-6

 

Jason

Johnson

-24.2

 

Brian

Anderson

-19.2

 

Joe

Kennedy

-18.8

 

Working with seven runs, the number one pitcher was Jim Kaat, whose teams were 44-2 at that level:

 

 

First

Last

Games

Team W

Team L

Gain

Won

Lost

 

Jim

Kaat

46

44

2

7.1

24

2

 

Randy

Johnson

43

40

3

5.5

31

1

 

Greg

Maddux

43

40

3

5.5

35

1

 

Mike

Cuellar

31

30

1

5.1

23

0

 

Ken

Hill

30

29

1

4.9

22

0

 

Don

Sutton

59

52

7

4.7

38

4

 

Bert

Blyleven

43

39

4

4.5

30

1

 

Tommy

John

49

43

5

4.5

28

0

 

Tom

Seaver

53

47

6

4.5

41

0

 

Charlie

Hough

37

34

3

4.3

28

1

 

Ken Hill?   And look; Mike Cuellar is back.   The bigger tranches are more reliable, but the smaller ones are more fun.    Seaver, showing up on the leader’s list once again, pulls five games ahead in the overall competition:

 

 

First

Last

Total 1-7

 

Tom

Seaver

68.4

 

Greg

Maddux

63.5

 

Jim

Palmer

63.1

 

Nolan

Ryan

59.4

 

Don

Sutton

58.1

 

Whitey

Ford

56.0

 

Roger

Clemens

55.2

 

Sandy

Koufax

52.9

 

Bob

Gibson

52.7

 

Steve

Carlton

52.5

 

Steve Trachsel’s teams lost 15 times when they scored 7 runs in a game:

 

 

First

Last

Games

Team W

Team L

Gain

Won

Lost

 

Steve

Trachsel

34

19

15

-8.3

15

4

 

Sidney

Ponson

32

20

12

-5.7

13

9

 

Jaime

Navarro

24

15

9

-4.3

11

4

 

Which puts Trachsel—and Sir Sidney—into the competition for the position as furthest below average:

 

 

First

Last

Total 1-7

 

Jason

Johnson

-23.8

 

Steve

Trachsel

-23.4

 

Sidney

Ponson

-23.4

 

OK, one more precinct to look at.   These were the leading pitchers when the team scored 8 runs, or more than 8:

 

 

First

Last

Games

Team W

Team L

Gain

Won

Lost

 

Ferguson

Jenkins

92

91

1

7.6

74

0

 

Jamie

Moyer

125

120

5

6.6

92

0

 

Luis

Tiant

82

81

1

6.6

59

0

 

Bob

Gibson

63

62

0

5.8

51

0

 

Andy

Pettitte

94

91

3

5.8

79

1

 

Pedro

Martinez

71

70

1

5.6

57

0

 

Jimmy

Key

68

67

1

5.3

61

1

 

Curt

Schilling

76

74

2

5.1

61

0

 

Randy

Johnson

108

103

5

5.1

88

2

 

Jim

Palmer

86

83

3

5.0

68

1

 

While Pedro Astacio’s teams lost 13 times with 8 runs or more.  And there’s Jason Johnson again:

 

 

First

Last

Games

Team W

Team L

Gain

Won

Lost

 

Pedro

Astacio

67

54

13

-6.8

42

7

 

Darren

Oliver

60

49

11

-5.4

34

4

 

Steve

Avery

50

40

10

-5.3

23

5

 

Kevin

Tapani

72

60

12

-5.3

47

4

 

Jason

Johnson

40

31

9

-5.3

25

4

 

Which makes Johnson the lowest-ranking pitcher of the last sixty years, by this method:

 

 

First

Last

Total 1-8

 

Jason

Johnson

-29.1

 

Steve

Trachsel

-23.0

 

Sidney

Ponson

-21.4

 

Johnson, with a career record of 56-100, was 22 full games (44 half-games) under .500.   By this method, that somewhat understates how much damage he was really doing.   Tom Seaver heads up the Hall of Famers:

 

 

First

Last

Total 1-8

 

Tom

Seaver

70.3

 

Jim

Palmer

68.1

 

Greg

Maddux

67.1

 

Nolan

Ryan

64.0

 

Whitey

Ford

60.1

 

Bob

Gibson

58.4

 

Don

Sutton

58.2

 

Roger

Clemens

57.6

 

Steve

Carlton

55.2

 

Sandy

Koufax

51.3

 

Seaver was 311-205 in his career, or 53 games over .500 (106 half-games).   This method puts him at +70.

 

This method, the method that I have been using over the last few pages, incorporates and is thus vulnerable to park and era illusions.   Tom Seaver looks a little bit better than he probably should because he pitched in a pitcher’s park in an era when ERAs were relatively low.   Clemens probably doesn’t look quite as good as he was, because he pitched in a high-run era.

Our other method, however, is not necessarily vulnerable to those problem.   In our other method, which we will return to tomorrow, we are figuring the “effective runs allowed rate” for pitchers by looking at their ability to win with one run, two runs, three runs, etc.   Of course, if a pitcher pitches in a hitter’s park and in a hitter’s era, his effective runs allowed rate will be different than if he had pitched in Dodger Stadium in 1965.

But in the comparison of John Burkett and Mike Morgan, for example, these issues are almost entirely irrelevant.   Burkett and Morgan allowed essentially the same number of runs per nine innings.   We then compare them on their ability to win with 1 run, 2 runs, 3 runs, etc.    Let us suppose that one of these pitchers pitched for much better teams, got much better offensive support, and pitched in a much better pitcher’s park.    So what?   It’s not (really) relevant (it’s marginally relevant for some minor issues.)   If pitcher A and pitcher B both allow 4.50 runs per game and are both working with 3 runs in a game, they should have the same ability to win, regardless of the park or the era in which they allowed these 4.50 runs and were supported by these 3 runs.    We’ll go back to that method tomorrow.

 
 

COMMENTS (4 Comments, most recent shown first)

rtayatay
I might have missed it, but when we say the pitcher was supported with 3 runs, is that 3 runs total for the game, or 3 runs while he was in the game? I think the premise of the discussion is more directly addressed if we were able to pinpoint how many runs were scored while he was on the mound. Maybe that evens out over time...
5:13 PM Jul 11th
 
kcale
How do you know these effects are beyond the normal variation that would occur anyway? Bring in the statistician.
10:43 AM Jul 11th
 
tjmaccarone
Bill: aren't the team wins totals skewed at least as much by bullpen quality as park effects and era effects, especially for pitchers from the past 10 years or so?
7:44 AM Jul 11th
 
hankgillette
So you discovered that if you knew that your team was only going to score one run, the best strategy would be to leave things to Chance.
1:53 AM Jul 11th
 
 
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