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Omars and Ozzies (Part II)

March 16, 2011

            Before I could get back to work on the Omars and Ozzies, I got the following letter in "Hey, Bill":

 

 

Could you please include George McBride & Everett Scott in your Omars and Ozzies article?  They both barely miss your cutoff of 1700 games but they are just the type of shortstops that fit the profile otherwise.  Both played over 1600 games at SS and both had a career OBP of .281.  Both had outstanding conventional fielding stats. McBride led the AL in DPs 6 times and Fielding AVG 6 times.  Scott led the AL in Fielding AVG 8 straight years.

 

--Mark R.

 

 

            OK, but what am I going to say to the people who think I should include Frankie Crosetti, Marty Marion, Bud Harrelson, Art Fletcher and Freddie Patek?  In a weak moment I decided to add McBride and Scott to the study, because otherwise we wouldn’t have had a single player in the study named "Everett", and. ..well, I enjoy having the kind of readers who care about George McBride and Everett Scott.    So we’re now up to 32 shortstops—Posnanski’s number—and we’ll have eight in this group, leaving us three groups of six to get through.   McBride, chronologically, should have come before Joe Tinker.

 

GEORGE MC BRIDE

Yr

City

Lg

Age

G

AB

R

H

2B

3B

HR

BI

BB

SB

AVG

SLG

OBA

OPS

1901

Milwaukee

AL

20

3

12

0

2

0

0

0

0

1

0

.167

.167

.231

.397

1905

Pittsburgh

NL

24

27

87

9

19

4

0

0

7

6

2

.218

.264

.277

.541

1905

St. Louis

NL

24

81

281

22

61

1

2

2

34

14

10

.217

.256

.264

.520

1906

St. Louis

NL

25

90

313

24

53

8

2

0

13

17

5

.169

.208

.215

.422

1908

Washington

AL

27

155

518

47

120

10

6

0

34

41

12

.232

.274

.292

.566

1909

Washington

AL

28

156

504

38

118

16

0

0

34

36

17

.234

.266

.294

.560

1910

Washington

AL

29

154

514

54

118

19

4

1

55

61

11

.230

.288

.321

.609

1911

Washington

AL

30

154

557

58

131

11

4

0

59

52

15

.235

.269

.312

.581

1912

Washington

AL

31

152

521

56

118

13

7

1

52

38

17

.226

.284

.288

.572

1913

Washington

AL

32

150

499

52

107

18

7

1

52

43

12

.214

.285

.286

.571

1914

Washington

AL

33

156

503

49

102

12

4

0

24

43

12

.203

.243

.274

.516

1915

Washington

AL

34

146

476

54

97

8

6

1

30

29

10

.204

.252

.251

.503

1916

Washington

AL

35

139

466

36

106

15

4

1

36

23

8

.227

.283

.271

.555

1917

Washington

AL

36

50

141

6

27

3

0

0

9

10

1

.191

.213

.265

.477

1918

Washington

AL

37

18

53

2

7

0

0

0

1

0

1

.132

.132

.132

.264

1919

Washington

AL

38

15

40

3

8

1

1

0

4

3

0

.200

.275

.256

.531

1920

Washington

AL

39

13

41

6

9

1

0

0

3

2

0

.220

.244

.256

.500

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Totals

1659

5526

516

1203

140

47

7

447

419

133

.218

.264

.281

.544

 

 

GEORGE MC BRIDE or, if you prefer, McBRIDE

Career Won-Lost Contribution:

166-209

 

 

Offensive Winning Percentage:

.268

Offensive W-L Contribution:

70-190

 

 

Defensive Winning Percentage:

.841

Defensive W-L Contribution:

96-18

 

 

Defensive WPct, Up to Age 30:

.725

Team Success Percentage:

.491

 

 

Defensive WPct, After 30:

1.016

Estimated Innings at Short:

14392

 

 

Best Season:

1910

Career Putouts at Shortstop:

3585

 

 

 

20-15

Expected Putouts at Short:

3362

+223

 

Career 20-Win Seasons:

1

Career Assists at Shortstop:

5274

 

 

.800 Seasons (as a regular):

0

Expected Assists at Short:

5117

+157

 

.700 Seasons (as a regular):

0

Career Double Plays a/Short:

610

 

 

.600 Seasons (as a regular):

0

Expected DPs at Shortstop:

580

+30

 

.500 Seasons (as a regular):

4

Career Errors at Shortstop:

484

 

 

Sub-.500 seasons a/regular:

7

Expected Errors at Short:

641

+157

 

Career Value:

144

 

            But actually, now that I’ve done the work, McBride and Scott don’t quite fit the profile of this group.  Although both were brilliant defensive players, their careers ended a little bit before the 1700 game mark because both were terrible hitters, which reduced their overall value enough to shorten their careers.    Both McBride and Scott were worse hitters than anyone else we have seen yet.   Mark Belanger sort of defines "bad hitting shortstop" for my generation, and both were far worse hitters than Belanger.   Omar Vizquel and Ozzie Smith were not bad hitters; they’re not great hitters, but they’re not bad.   The players who define this group—Aparicio, Joe Tinker, Herman Long, Dave Bancroft—are not bad hitters.   McBride and Scott were more in the Hal Lanier/Dal Maxvill/Rey Sanchez group—the guys who really couldn’t hit.  We have one other guy later on who was a worse hitter than McBride and Scott, but among the 32 players now in the group they rank 30th and 31st with the bat.   But McBride was a sensational fielder, and Scott was better than McBride was.

 

 

Mickey Doolan

Yr

City

Lg

Age

G

AB

R

H

2B

3B

HR

BI

BB

SB

AVG

SLG

OBA

OPS

1905

Philadelphia

NL

25

136

492

53

125

27

11

1

48

24

17

.254

.360

.292

.651

1906

Philadelphia

NL

26

154

535

41

123

19

7

1

55

27

16

.230

.297

.270

.567

1907

Philadelphia

NL

27

145

509

33

104

19

7

1

47

25

18

.204

.275

.243

.518

1908

Philadelphia

NL

28

129

445

29

104

25

4

2

49

17

5

.234

.321

.267

.588

1909

Philadelphia

NL

29

147

493

39

108

12

10

1

35

37

10

.219

.290

.276

.566

1910

Philadelphia

NL

30

148

536

58

141

31

6

2

57

35

16

.263

.354

.315

.670

1911

Philadelphia

NL

31

146

512

51

122

23

6

1

49

44

14

.238

.313

.301

.614

1912

Philadelphia

NL

32

146

532

47

137

26

6

1

62

34

6

.258

.335

.302

.637

1913

Philadelphia

NL

33

151

518

32

113

12

6

1

43

29

17

.218

.270

.262

.533

1914

Baltimore

FL

34

145

486

58

119

23

6

1

53

40

30

.245

.323

.311

.634

1915

Baltimore

FL

35

119

404

41

75

13

7

2

21

24

10

.186

.267

.238

.506

1915

Chicago

FL

35

24

86

9

23

1

1

0

9

2

5

.267

.302

.292

.594

1916

New York

NL

36

18

51

4

12

3

1

1

3

2

1

.235

.392

.264

.656

1916

Chicago

NL

36

28

70

4

15

2

1

0

5

8

0

.214

.271

.295

.566

1918

Brooklyn

NL

38

92

308

14

55

8

2

0

18

22

8

.179

.218

.233

.451

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Totals

1728

5977

513

1376

244

81

15

554

370

173

.230

.306

.279

.584

 

 

 

MICKEY DOOLAN

Career Won-Lost Contribution:

188-208

 

 

Offensive Winning Percentage:

.318

Offensive W-L Contribution:

88-189

 

 

Defensive Winning Percentage:

.836

Defensive W-L Contribution:

100-20

 

 

Defensive WPct, Up to Age 30:

.815

Team Success Percentage:

.562

 

 

Defensive WPct, After 30:

.858

Estimated Innings at Short:

14465

 

 

Best Season:

1910

Career Putouts at Shortstop:

3279

 

 

 

20-12

Expected Putouts at Short:

3194

+85

 

Career 20-Win Seasons:

2

Career Assists at Shortstop:

4858

 

 

.800 Seasons (as a regular):

0

Expected Assists at Short:

4591

+267

 

.700 Seasons (as a regular):

0

Career Double Plays a/Short:

519

 

 

.600 Seasons (as a regular):

1

Expected DPs at Shortstop:

507

+12

 

.500 Seasons (as a regular):

5

Career Errors at Shortstop:

592

 

 

Sub-.500 seasons a/regular:

7

Expected Errors at Short:

682

+90

 

Career Value:

177

 

            Doolan was a light hitter in the tradition of Scott and McBride, although even Doolan—whose career OPS was .584—was not as bad a hitter as those two.   I think Doolan was a college teammate of Christy Mathewson’s; anyway they were both born in 1880 and they both attended Bucknell, so I would assume they were teammates.

            Do you guys use Lee Sinins’ Complete Baseball Encyclopedia?   I use it all the time, although I have an antique version of it when it used to be called the Sabermetric Encyclopedia.  In doing this series of reports I probably had to look up Mickey Doolan in the Sabermetric Encyclopedia 15 to 20 times, looking up some factoid or another. . .each player in here; I’m sure I looked up Donie Bush 15 to 20 times, and Germany Smith.

            Anyway, you can find players in the Sabermetric Encyclopedia by using truncated versions of their names, and. . .stupid observation of the week. . .I began looking these guys up by truncating their names.    Mickey Doolan, for example, can be found by typing in "Ickey Doo", which somehow is a lot more fun than looking up Mickey Doolan.   Germany Smith can be found by typing in "Ermany Smi", Donie Bush can be found by typing in "Onie Bu", and even George McBride can be found by typing in "Orge McB".   Ah, the wonders of a good search engine. . ..

            Ickey Doo, who was hardly a good hitter, finished 14th in the NL MVP voting in 1911, the first year there was such an award, and 13th in 1913, when he hit just .218 and scored just 32 runs (!!) in 151 games.   That’s actually the third-fewest runs ever scored in 150 or more games—a fact which I found by using the Sabermetric Encyclopedia.   Doolan was past 30 and his best years were behind him before the award started, and the fact that he did show up in the voting certainly testifies to his defensive excellence.

            In fact, we could generalize from this that "the voters" placed much more value on Doolan’s D than we would; I, after all, have Doolan’s won-lost contributions at 15-17 in 1911 and 13-20 in 1913, which wouldn’t place him among the league’s top 30 players either year.     It’s a dangerous inference.   Doolan’s performance in MVP voting probably only really means that one or two voters, out of a panel of 8, had some belief in his value.   We can say that "the MVP voters valued his defense more highly than modern analysts", but this might be incorrect for about 7 of the 8 voters.   George McBride, who was also born in 1880 (like Doolan and Christy Mathewson) was also mentioned in the MVP voting in 1911, 1912, 1913 and 1914.   Most of the players in this study were mentioned in MVP voting multiple times in their careers, if there was an MVP vote in their league.

 

 

 

DONIE BUSH

YR

City

Lg

Ag

G

AB

R

H

2B

3B

HR

BI

BB

SB

AVG

SLG

OBA

OPS

1908

Detroit

AL

20

20

68

13

20

1

1

0

4

7

2

.294

.338

.360

.698

1909

Detroit

AL

21

157

532

114

145

18

2

0

33

88

53

.273

.314

.380

.694

1910

Detroit

AL

22

142

496

90

130

13

4

3

34

78

49

.262

.323

.365

.687

1911

Detroit

AL

23

150

561

126

130

18

5

1

36

98

40

.232

.287

.349

.636

1912

Detroit

AL

24

144

511

107

118

14

8

2

38

117

35

.231

.301

.377

.679

1913

Detroit

AL

25

153

597

98

150

19

10

1

40

80

44

.251

.322

.344

.665

1914

Detroit

AL

26

157

596

97

150

18

4

0

32

112

35

.252

.295

.373

.668

1915

Detroit

AL

27

155

561

99

128

12

8

1

44

118

35

.228

.283

.364

.648

1916

Detroit

AL

28

145

550

73

124

5

9

0

34

75

19

.225

.267

.319

.587

1917

Detroit

AL

29

147

581

112

163

18

3

0

24

80

34

.281

.322

.370

.691

1918

Detroit

AL

30

128

500

74

117

10

3

0

22

79

9

.234

.266

.340

.606

1919

Detroit

AL

31

129

509

82

124

11

6

0

26

75

22

.244

.289

.343

.632

1920

Detroit

AL

32

141

506

85

133

18

5

1

33

73

15

.263

.324

.357

.681

1921

Detroit

AL

33

104

402

72

113

6

5

0

27

45

8

.281

.321

.355

.676

1921

Washington

AL

33

23

84

15

18

1

0

0

2

12

2

.214

.226

.313

.539

1922

Washington

AL

34

41

134

17

32

4

1

0

7

21

1

.239

.284

.342

.626

1923

Washington

AL

35

10

22

6

9

0

0

0

0

0

0

.409

.409

.409

.818

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Totals

1946

7210

1280

1804

186

74

9

436

1158

403

.250

.300

.356

.656

 

 

 

DONIE BUSH

Career Won-Lost Contribution:

242-231

 

 

Offensive Winning Percentage:

.483

Offensive W-L Contribution:

161-173

 

 

Defensive Winning Percentage:

.581

Defensive W-L Contribution:

81-58

 

 

Defensive WPct, Up to Age 30:

.626

Team Success Percentage:

.492

 

 

Defensive WPct, After 30:

.416

Estimated Innings at Short:

16561

 

 

Best Season:

1909

Career Putouts at Shortstop:

4038

 

 

 

26-11

Expected Putouts at Short:

3990

+48

 

Career 20-Win Seasons:

6

Career Assists at Shortstop:

6119

 

 

.800 Seasons (as a regular):

0

Expected Assists at Short:

6018

+101

 

.700 Seasons (as a regular):

1

Career Double Plays a/Short:

585

 

 

.600 Seasons (as a regular):

2

Expected DPs at Shortstop:

755

-170

 

.500 Seasons (as a regular):

6

Career Errors at Shortstop:

689

 

 

Sub-.500 seasons a/regular:

7

Expected Errors at Short:

724

+35

 

Career Value:

247

 

 

            Donie Bush, the shortstop for the Ty Cobb Tigers from 1908 to 1921, was different from most of the shortstops in this group in two respects:  1, that he walked a great deal, and 2, that he was hopeless at turning the double play.     Bush, years after his career, was the co-owner of the Louisville team that sold Pee Wee Reese to the Dodgers.    Telling this story from memory, but. . .I think the co-owners of the Louisville American Association franchise were Bush, Tom Yawkey, and a third man; Bush managed the team as well as being one of the owners.   When the team came up with Pee Wee Reese in 1938, Yawkey assumed that the Red Sox would be able to buy him cheap because he was co-owner of the team, but Bush and the third owner  thought "Wait a minute.   We have here a young player who is worth more than the franchise is.   Why should we give him to Boston, just because Yawkey is a co-owner?"    They sold him to the Dodgers, greatly annoying Yawkey.

            Fred Haney used to tell a story about when he came up with the Tigers; he hit .352 as a rookie in 1922, 213 at bats.   Ty Cobb was his manager.  His story was that one time he decided to sit on a fastball and take big rip at it, and he hit a single, but when he got back to the bench Ty Cobb tore him a new one.   He wasn’t up there to rip the ball; that was Harry Heilmann’s job, and Veach’s and Cobb’s.   His job was to get on base.   Take pitches, defend the plate, slap the ball, get on base.

            The Tigers had a group of players like that—Bassler, Bush, Topper Rigney, even Lu Blue, the first baseman; their job was to get on base and let the big boys drive them in.  That’s a very different philosophy than that which prevails in modern baseball, in which everyone is expected to drive the ball.   I am asked frequently what kind of market inefficiencies there might be remaining in baseball, which could be exploited by cash-strapped teams to gain an advantage.   There are 50 or 100 obvious market inefficiencies in baseball, but this is one of the largest.  Defend the plate, slap the ball, get on base. . .nobody does that stuff in modern baseball.   The scouts don’t respect it, the organizations don’t encourage it, the managers don’t insist on it.  "Bat speed" is the deal now; everybody is supposed to have bat speed.   Everybody is supposed to drive the ball.   People overlook the fact that you still CAN slap and punch the ball and get on base, if you focus on that.

            Bush’s high walk totals gave him a certain offensive value, but his extremely poor double play numbers offset much of that value.   Bush’s double play totals are so poor that one suspects it must represent a deliberate decision—that is, that Bush must have been instructed by an early manager not to worry about the double play, but just to focus on getting the out at second base.

            That was one thing when Bush came up.   From 1908 to 1911 there were 770 to 809 double plays per season in the American League—about 100 double plays per team per season--and many of those were caught stealing/throw ‘em out double plays or runners thrown out by outfielders.  Catchers, in 1911, participated in more than 20% of the American League’s double plays.

            But over the course of Bush’s career double play totals increased markedly, from 770 in 1911 to 1,136 in 1922, and the relevant increase is much greater than that, because double plays by catchers and outfielders were not only not increasing, but actually decreasing.    The modern double play, the 4-6-3 or 6-4-3 double play, was becoming substantially more important, making Bush’s almost comical inability to turn the DP constantly more central to his game.   Bush in his career participated in only 46 double plays per 1,300 innings, while Peckinpaugh—coming to the majors two years later—participated in 71, and Maranville, who came up two years after Peckinpaugh, participated in 80 per 1,300 innings.    Bush’s DP/inning ratio is the lowest of any player in this study.

 

 

ROGER PECKINPAUGH

Yr

City

Lg

Age

G

AB

R

H

2B

3B

HR

BI

BB

SB

AVG

SLG

OBA

OPS

1910

Cleveland

AL

19

15

45

1

9

0

0

0

6

1

3

.200

.200

.234

.434

1912

Cleveland

AL

21

69

236

18

50

4

1

1

22

16

11

.212

.250

.262

.512

1913

Cleveland

AL

22

1

0

1

0

0

0

0

0

0

0

.000

.000

.000

.000

1913

New York

AL

22

95

340

35

91

10

7

1

32

24

19

.268

.347

.316

.663

1914

New York

AL

23

157

570

55

127

14

6

3

51

51

38

.223

.284

.288

.572

1915

New York

AL

24

142

540

67

119

18

7

5

44

49

19

.220

.307

.289

.596

1916

New York

AL

25

146

552

65

141

22

8

4

58

62

18

.255

.346

.332

.678

1917

New York

AL

26

148

543

63

141

24

7

0

41

64

17

.260

.330

.340

.670

1918

New York

AL

27

122

446

59

103

15

3

0

43

43

12

.231

.278

.303

.581

1919

New York

AL

28

122

453

89

138

20

2

7

33

59

10

.305

.404

.390

.794

1920

New York

AL

29

139

534

109

144

26

6

8

54

72

8

.270

.386

.356

.742

1921

New York

AL

30

149

577

128

166

25

7

8

71

84

2

.288

.397

.380

.777

1922

Washington

AL

31

147

520

62

132

14

4

2

48

55

11

.254

.308

.329

.636

1923

Washington

AL

32

154

568

73

150

18

4

2

62

64

10

.264

.320

.340

.660

1924

Washington

AL

33

155

523

72

142

20

5

2

73

72

11

.272

.340

.360

.700

1925

Washington

AL

34

126

422

67

124

16

4

4

64

49

13

.294

.379

.367

.746

1926

Washington

AL

35

57

147

19

35

4

1

1

14

28

3

.238

.299

.360

.659

1927

Chicago

AL

36

68

217

23

64

6

3

0

23

21

2

.295

.350

.360

.710

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Totals

2012

7233

1006

1876

256

75

48

739

814

207

.259

.335

.336

.672

 

 

 

ROGER PECKINPAUGH

Career Won-Lost Contribution:

252-211

 

 

Offensive Winning Percentage:

.430

Offensive W-L Contribution:

140-186

 

 

Defensive Winning Percentage:

.817

Defensive W-L Contribution:

112-25

 

 

Defensive WPct, Up to Age 30:

.790

Team Success Percentage:

.647

 

 

Defensive WPct, After 30:

.871

Estimated Innings at Short:

17464

 

 

Best Season:

1919

Career Putouts at Shortstop:

3919

 

 

 

22-5

Expected Putouts at Short:

4078

-159

 

Career 20-Win Seasons:

6

Career Assists at Shortstop:

6337

 

 

.800 Seasons (as a regular):

1

Expected Assists at Short:

6110

+227

 

.700 Seasons (as a regular):

1

Career Double Plays a/Short:

952

 

 

.600 Seasons (as a regular):

3

Expected DPs at Shortstop:

805

+147

 

.500 Seasons (as a regular):

8

Career Errors at Shortstop:

553

 

 

Sub-.500 seasons a/regular:

5

Expected Errors at Short:

646

+93

 

Career Value:

272

 

 

            In the analytical box I’ve broken players’ defense down into Defensive Winning Percentage up to age 30, and Defensive Winning Percentage after age 30.    I’m interested in studying defensive aging, and it makes a clear point; I believe that 27 of the 32 shortstops in the study have higher defensive winning percentages before age 30 than after age 30, generally by a pretty predictable margin.

            There are a handful of shortstops, however, who have higher defensive winning percentages after age 30 than before, including three in this group, (Peckinpaugh, Doolan and McBride.)  We shouldn’t be too concerned about that; there’s an occasional hitter who has his best years after age 30, probably there’s an occasional fielder as well.   But I would attribute these fluke cases to four causes:

            1)  Conditioning variables,

            2)  Error tendencies,

            3)  Hitting abilities, and

            4)  Measurement error.

            The error tendencies are relevant in this way:  that fielding percentages predictably improve as a player ages.   If a young shortstop is particularly error-prone, like Garry Templeton for example, then it is predictable that, as he ages, this will become less of an issue, and that type of a defensive player may be more likely to have his best defensive years later in his career.

            Hitting creates a "performance floor" for the player.   Hitting helps define the player’s relationship to replacement level.   If a player is a good-hitting shortstop, he may play regularly until he is 37, 38 years old (or more), and has lost a couple of steps in the field.   If he is not such a good hitter, he is likely to be forced out of the game at a younger age, thus less likely to have an "aging drag" on his overall fielding record.

            And, of course, our measurements are not perfect.   I believe in my system; I believe in my results—but we have to be realistic.   While we may have very accurate measurements of a player’s overall value, when you divide that record into two parts (offense and defense) then you have a smaller base, and when you have a smaller base you have less accurate measurements.   Defense is the smaller of the two parts, even for shortstops. 

            Then we divide defense into two parts—defense up to age 30, defense after age 30.   Defense after age 30 is the smaller of those two.   By this time the base is so small that we’re vulnerable to flukes in the data.   It may be true that Peckinpaugh’s defense did improve as he aged, or it may be that there’s a fluke in the data.  

 

 

 

RABBIT MARANVILLE

Yr

City

Lg

Age

G

AB

R

H

2B

3B

HR

BI

BB

SB

AVG

SLG

OBA

OPS

1912

Boston

NL

20

26

86

8

18

2

0

0

8

9

1

.209

.233

.292

.524

1913

Boston

NL

21

143

571

68

141

13

8

2

48

68

25

.247

.308

.330

.638

1914

Boston

NL

22

156

586

74

144

23

6

4

78

45

28

.246

.326

.306

.632

1915

Boston

NL

23

149

509

51

124

23

6

2

43

45

18

.244

.324

.308

.632

1916

Boston

NL

24

155

604

79

142

16

13

4

38

50

32

.235

.325

.296

.620

1917

Boston

NL

25

142

561

69

146

19

13

3

43

40

27

.260

.357

.312

.668

1918

Boston

NL

26

11

38

3

12

0

1

0

3

4

0

.316

.368

.381

.749

1919

Boston

NL

27

131

480

44

128

18

10

5

43

36

12

.267

.377

.319

.696

1920

Boston

NL

28

134

493

48

131

19

15

1

43

28

14

.266

.371

.305

.676

1921

Pittsburgh

NL

29

153

612

90

180

25

12

1

70

47

25

.294

.379

.347

.727

1922

Pittsburgh

NL

30

155

672

115

198

26

15

0

63

61

24

.295

.378

.355

.733

1923

Pittsburgh

NL

31

141

581

78

161

19

9

1

41

42

14

.277

.346

.327

.673

1924

Pittsburgh

NL

32

152

594

62

158

33

20

2

71

35

18

.266

.399

.307

.706

1925

Chicago

NL

33

75

266

37

62

10

3

0

23

29

6

.233

.293

.308

.602

1926

Brooklyn

NL

34

78

234

32

55

8

5

0

24

26

7

.235

.312

.312

.624

1927

St. Louis

NL

35

9

29

0

7

1

0

0

0

2

0

.241

.276

.290

.566

1928

St. Louis

NL

36

112

366

40

88

14

10

1

34

36

3

.240

.342

.310

.652

1929

Boston

NL

37

146

560

87

159

26

10

0

55

47

13

.284

.366

.344

.710

1930

Boston

NL

38

142

558

85

157

26

8

2

43

48

9

.281

.367

.344

.711

1931

Boston

NL

39

145

562

69

146

22

5

0

33

56

9

.260

.317

.329

.646

1932

Boston

NL

40

149

571

67

134

20

4

0

37

46

4

.235

.284

.295

.579

1933

Boston

NL

41

143

478

46

104

15

4

0

38

36

2

.218

.266

.274

.539

1935

Boston

NL

43

23

67

3

10

2

0

0

5

3

0

.149

.179

.186

.365

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Totals

2670

10078

1255

2605

380

177

28

884

839

291

.258

.340

.318

.658

 

 

RABBIT MARANVILLE

Career Won-Lost Contribution:

317-317

 

 

Offensive Winning Percentage:

.399

Offensive W-L Contribution:

177-267

 

 

Defensive Winning Percentage:

.737

Defensive W-L Contribution:

140-50

 

 

Defensive WPct, Up to Age 30:

.822

Team Success Percentage:

.564

 

 

Defensive WPct, After 30:

.642

Estimated Innings at Short:

19259

 

 

Best Season:

1914

Career Putouts at Shortstop:

5139

 

 

 

24-13

Expected Putouts at Short:

4837

+302

 

Career 20-Win Seasons:

7

Career Assists at Shortstop:

7354

 

 

.800 Seasons (as a regular):

0

Expected Assists at Short:

7194

+160

 

.700 Seasons (as a regular):

0

Career Double Plays a/Short:

1183

 

 

.600 Seasons (as a regular):

6

Expected DPs at Shortstop:

1171

+12

 

.500 Seasons (as a regular):

11

Career Errors at Shortstop:

631

 

 

Sub-.500 seasons a/regular:

6

Expected Errors at Short:

782

+151

 

Career Value:

317

 

            Rabbit Maranville was a .500 player in a very long career, and no doubt some people will disapprove of the fact that a .500 player is in the Hall of Fame.   That’s a little unfair to Maranville.   Maranville’s won-lost contributions, beginning in 1914, are 24-13, 20-14, 24-16, 22-13, 1-1, 19-11, 15-15, 24-14, 22-19, 19-17, 20-19.    He hung around for eleven years after that as a sub-.500 who was still over replacement level, and this very long, very slow decline phase pulled his career winning percentage down to .500.   But the fact that he aged very slowly does not mean that he was not a good player for ten years.

 

 

 

EVERETT SCOTT

Yr

City

Lg

Age

G

AB

R

H

2B

3B

HR

BI

BB

SB

AVG

SLG

OBA

OPS

1914

Boston

AL

21

144

539

66

129

15

6

2

37

32

9

.239

.301

.286

.586

1915

Boston

AL

22

100

359

25

72

11

0

0

28

17

4

.201

.231

.237

.468

1916

Boston

AL

23

123

366

37

85

19

2

0

27

23

8

.232

.295

.283

.578

1917

Boston

AL

24

157

528

40

127

24

7

0

50

20

12

.241

.313

.268

.581

1918

Boston

AL

25

126

443

40

98

11

5

0

43

12

11

.221

.269

.242

.510

1919

Boston

AL

26

138

507

41

141

19

0

0

38

19

8

.278

.316

.306

.621

1920

Boston

AL

27

154

569

41

153

21

12

4

61

21

4

.269

.369

.300

.669

1921

Boston

AL

28

154

576

65

151

21

9

1

60

27

5

.262

.335

.295

.630

1922

New York

AL

29

154

557

64

150

23

5

3

45

23

2

.269

.345

.304

.649

1923

New York

AL

30

152

533

48

131

16

4

6

60

13

1

.246

.325

.266

.591

1924

New York

AL

31

153

548

56

137

12

6

4

64

21

3

.250

.316

.278

.593

1925

New York

AL

32

22

60

3

13

0

0

0

4

2

0

.217

.217

.242

.459

1925

Washington

AL

32

33

103

10

28

6

1

0

18

4

1

.272

.350

.299

.649

1926

Chicago

AL

33

40

143

15

36

10

1

0

13

9

1

.252

.336

.296

.632

1926

Cincinnati

NL

33

4

6

1

4

0

0

0

1

0

0

.667

.667

.667

1.33

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Totals

1654

5837

552

1455

208

58

20

549

243

69

.249

.315

.281

.596

 

 

EVERETT SCOTT

Career Won-Lost Contribution:

176-204

 

 

Offensive Winning Percentage:

.277

Offensive W-L Contribution:

74-194

 

 

Defensive Winning Percentage:

.907

Defensive W-L Contribution:

102-10

 

 

Defensive WPct, Up to Age 30:

.926

Team Success Percentage:

.643

 

 

Defensive WPct, After 30:

.842

Estimated Innings at Short:

14244

 

 

Best Season:

1921

Career Putouts at Shortstop:

3351

 

 

 

19-17

Expected Putouts at Short:

3316

+35

 

Career 20-Win Seasons:

0

Career Assists at Shortstop:

5053

 

 

.800 Seasons (as a regular):

0

Expected Assists at Short:

4847

+206

 

.700 Seasons (as a regular):

0

Career Double Plays a/Short:

710

 

 

.600 Seasons (as a regular):

0

Expected DPs at Shortstop:

675

+35

 

.500 Seasons (as a regular):

5

Career Errors at Shortstop:

306

 

 

Sub-.500 seasons a/regular:

6

Expected Errors at Short:

401

+95

 

Career Value:

162

 

            There are a bunch of these players who played for Washington in the early 1920s.   McBride was there until 1920, Donie Bush (as an old player) in ’22-’23, Roger Peckinpaugh from 1922 to 1926, Everett Scott as an old player in 1925.

            Roger Peckinpaugh was the Yankee shortstop from 1913 to 1921.   On December 20, 1921, the Yankees traded a package of players including Peckinpaugh and a pile of money to the Red Sox for a package of players including Everett.    The Yankees were a dominant organization at that time, the Red Sox a submissive organization that was selling off talent.  The inclusion of Peckinpaugh and Scott in this trade almost certainly indicates that the Yankees preferred Scott to Peckinpaugh. 

            This—like the MVP votes for Dooley, McBride and others—indicates that contemporary observers placed a higher value on defense than I do.   My analytical method here places a higher value on the defense of these guys (Dooley, McBride, Scott and others). . . my analytical method credits these players with .850+ winning percentages as defensive players, and thus places a very high value on their defense.    But—while agreeing that Scott was a great defensive player—I still see Peckinpaugh as a better all-around player than Scott, and thus see the Yankees as weakening their team by trading Peckinpaugh for Scott.

            We need to respect the opinions of on-scene observers.   We cannot and should not assume that we’re right and they are wrong.   We need to respect the fact that they saw these men play with their own eyes, and we didn’t.

            That’s not to say that they are right and we’re wrong; I still believe in my method.   But. . .it is possible that the value of their defense was even greater than the value I have placed on it.

 

 

 

DAVE BANCROFT

Yr

City

Lg

Age

G

AB

R

H

2B

3B

HR

BI

BB

SB

AVG

SLG

OBA

OPS

1915

Philadelphia

NL

24

153

563

85

143

18

2

7

30

77

15

.254

.330

.346

.676

1916

Philadelphia

NL

25

142

477

53

101

10

0

3

33

74

15

.212

.252

.323

.574

1917

Philadelphia

NL

26

127

478

56

116

22

5

4

43

44

14

.243

.335

.307

.641

1918

Philadelphia

NL

27

125

499

69

132

19

4

0

26

54

11

.265

.319

.338

.656

1919

Philadelphia

NL

28

92

335

45

91

13

7

0

25

31

8

.272

.352

.333

.686

1920

Philadelphia

NL

29

42

171

23

51

7

2

0

5

9

1

.298

.363

.337

.700

1920

New York

NL

29

108

442

79

132

29

7

0

31

33

7

.299

.396

.349

.745

1921

New York

NL

30

153

606

121

193

26

15

6

67

66

17

.318

.441

.389

.830

1922

New York

NL

31

156

651

117

209

41

5

4

60

79

16

.321

.418

.397

.815

1923

New York

NL

32

107

444

80

135

33

3

1

31

62

8

.304

.399

.391

.789

1924

Boston

NL

33

79

319

49

89

11

1

2

21

37

4

.279

.339

.356

.694

1925

Boston

NL

34

128

479

75

153

29

8

2

49

64

7

.319

.426

.400

.826

1926

Boston

NL

35

127

453

70

141

18

6

1

44

64

3

.311

.384

.399

.783

1927

Boston

NL

36

111

375

44

91

13

4

1

31

43

5

.243

.307

.322

.629

1928

Brooklyn

NL

37

149

515

47

127

19

5

0

51

59

7

.247

.303

.326

.629

1929

Brooklyn

NL

38

104

358

35

99

11

3

1

44

29

7

.277

.332

.331

.663

1930

New York

NL

39

10

17

0

1

1

0

0

0

2

0

.059

.118

.158

.276

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Totals

1913

7182

1048

2004

320

77

32

591

827

145

.279

.358

.355

.714

 

 

DAVE BANCROFT

Career Won-Lost Contribution:

262-183

 

 

Offensive Winning Percentage:

.518

Offensive W-L Contribution:

161-150

 

 

Defensive Winning Percentage:

.753

Defensive W-L Contribution:

101-33

 

 

Defensive WPct, Up to Age 30:

.854

Team Success Percentage:

.587

 

 

Defensive WPct, After 30:

.645

Estimated Innings at Short:

16647

 

 

Best Season:

1921

Career Putouts at Shortstop:

4623

 

 

 

27-9

Expected Putouts at Short:

4166

+457

 

Career 20-Win Seasons:

6

Career Assists at Shortstop:

6561

 

 

.800 Seasons (as a regular):

0

Expected Assists at Short:

6365

+196

 

.700 Seasons (as a regular):

3

Career Double Plays a/Short:

1017

 

 

.600 Seasons (as a regular):

7

Expected DPs at Shortstop:

1048

-31

 

.500 Seasons (as a regular):

10

Career Errors at Shortstop:

660

 

 

Sub-.500 seasons a/regular:

4

Expected Errors at Short:

696

+36

 

Career Value:

301

 

            There are two players in this group of eight who are in the Hall of Fame, Maranville and Bancroft.   There are also two players in this group of eight who have "Career Value" over 300—Maranville and Bancroft.    To this point in our study, every player who has had a career value higher than 300 has been selected to the Hall of Fame (Ward, Wallace, Tinker, Maranville and Bancroft), while no one with a career value of 300 or lower has been selected.  Herman Long was at 300 even.

            I’d better put a little more time into explaining the data.   I’ll move on to "Assists", because I think how we figure "Expected Assists" is a little easier to explain than putouts or double plays.

            The first thing you need to understand is that "assists" by a team represent ground balls.   A team has a few assists that do not result from ground balls, and they have a few ground ball outs that do not cause an assist, but only a relative handful of each.   Basically, ground ball outs are assists, and assists are ground ball outs.    Thus, we don’t need to adjust separately for the ground ball tendencies of the pitching staff because, in starting with the team’s assist total, we are, for all practical purposes, starting with their ground balls.  

            We then ask two questions:

            1)  How many assists did this team have, and

            2)  What percentage of the league’s assists were recorded by shortstops?

            National League, 1917.   There were 16,598 assists in the league, of which 4,155 were by shortstops.   Basically, one in four.   25%.    The percentage is higher now; now it’s more like 29%. 

            Dave Bancroft was the Philadelphia shortstop.  The Phillies had 2,106 assists as a team.   If 25% of those had been recorded by the Philadelphia shortstops, that would have been 527 assists.      We thus have an expectation that Philadelphia shortstops might have recorded about 527 assists on the season—the team assists total, times the percentage of assists that the shortstop normally records.

            But we have to adjust that for the left handed/right-handed mix of the pitching staff.   More left-handed pitching leads to more right-handed hitters batting for the other team, which leads to more ground balls to the third base side.   The team defensive statistics reflect the left/right balance of the pitching staff.   Teams with more left-handed pitching DO have more assists by third basemen and shortstops than teams with less left-handed pitching; not just in theory, they actually do.

             For third basemen, this is a pretty significant adjustment.   For shortstops, it is not nearly as significant, but here’s what we do.

            1)   We figure what percentage of the balls put in play against the team were put in play against left-handed pitchers,

            2)   We figure the same for the league,

            3)   We figure whether the team is over or under the league norm, and by how much.  

            The Phillies had 1,156 Balls in Play against left-handed pitchers, which is 257 fewer than the expectation based on the league norms.    There’s an increase of one assist by the shortstop for each 120 balls in play against left-handed pitchers, so that decreases the expected assists by Philly shortstops from 527 to 525.

            OK, that was kind of a waste of time; so maybe it wasn’t the best example.   It’s not always a waste of time.   In 1918, for example, the Phillies had no balls in play against left-handed pitchers; none.

            We take the 525 expected assists for Philadelphia shortstops in 1917, and we scale it back for Bancroft’s innings.   Bancroft played an estimated 1,066 innings at shortstop for the Phillies in 1917, out of a team total of 1,389 innings.    If we expect a team to have 525 shortstop assists in 1,389 innings, then we expect them to have 403 assists in 1,066 innings.

            Bancroft in 1917 actually had 439 assists at shortstop—36 more than expected.   So, for the year, he’s +36 assists. . ..439 actual vs. 403 expected.    Which was a fairly typical year for him at that time; he was +47 in 1916, +20 in 1918.  

            Small note.   For data prior to 1914, we don’t adjust the expected assists for the left/right mix of the pitching staff because, prior to 1914, teams did not platoon to any significant extent.  There was isolated platooning before 1914, here and there, and there were a handful of switch hitters in the game before 1914, but basically, platooning starts in 1914—therefore, we have to adjust the data beginning in 1914.  

 

 

 

DICK BARTELL

Yr

City

Lg

Age

G

AB

R

H

2B

3B

HR

BI

BB

SB

AVG

SLG

OBA

OPS

1927

Pittsburgh

NL

19

1

2

0

0

0

0

0

0

2

0

.000

.000

.500

.500

1928

Pittsburgh

NL

20

72

233

27

71

8

4

1

36

21

4

.305

.386

.377

.763

1929

Pittsburgh

NL

21

143

610

101

184

40

13

2

57

40

11

.302

.420

.347

.766

1930

Pittsburgh

NL

22

129

475

69

152

32

13

4

75

39

8

.320

.467

.378

.845

1931

Philadelphia

NL

23

135

554

88

160

43

7

0

34

27

6

.289

.392

.325

.717

1932

Philadelphia

NL

24

154

614

118

189

48

7

1

53

64

8

.308

.414

.379

.792

1933

Philadelphia

NL

25

152

587

78

159

25

5

1

37

56

6

.271

.336

.340

.675

1934

Philadelphia

NL

26

146

604

102

187

30

4

0

37

64

13

.310

.373

.384

.757

1935

New York

NL

27

137

539

60

141

28

4

14

53

37

5

.262

.406

.316

.722

1936

New York

NL

28

145

510

71

152

31

3

8

42

40

6

.298

.418

.355

.773

1937

New York

NL

29

128

516

91

158

38

2

14

62

40

5

.306

.469

.367

.836

1938

New York

NL

30

127

481

67

126

26

1

9

49

55

4

.262

.376

.347

.724

1939

Chicago

NL

31

105

336

37

80

24

2

3

34

42

6

.238

.348

.335

.683

1940

Detroit

AL

32

139

528

76

123

24

3

7

53

76

12

.233

.330

.335

.665

1941

Detroit

AL

33

5

12

0

2

1

0

0

1

2

0

.167

.250

.333

.583

1941

New York

NL

33

104

373

44

113

20

0

5

35

52

6

.303

.397

.394

.791

1942

New York

NL

34

90

316

53

77

10

3

5

24

44

4

.244

.342

.351

.692

1943

New York

NL

35

99

337

48

91

14

0

5

28

47

5

.270

.356

.371

.727

1946

New York

NL

38

5

2

0

0

0

0

0

0

0

0

.000

.000

.000

.000

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Totals

2016

7629

1130

2165

442

71

79

710

748

109

.284

.391

.355

.747

 

 

DICK BARTELL

Career Won-Lost Contribution:

251-203

 

 

Offensive Winning Percentage:

.482

Offensive W-L Contribution:

159-170

 

 

Defensive Winning Percentage:

.739

Defensive W-L Contribution:

92-33

 

 

Defensive WPct, Up to Age 30:

.770

Team Success Percentage:

.582

 

 

Defensive WPct, After 30:

.644

Estimated Innings at Short:

14762

 

 

Best Season:

1937

Career Putouts at Shortstop:

3872

 

 

 

24-6

Expected Putouts at Short:

3475

+397

 

Career 20-Win Seasons:

4

Career Assists at Shortstop:

5590

 

 

.800 Seasons (as a regular):

0

Expected Assists at Short:

5495

+95

 

.700 Seasons (as a regular):

2

Career Double Plays a/Short:

1072

 

 

.600 Seasons (as a regular):

4

Expected DPs at Shortstop:

1132

-60

 

.500 Seasons (as a regular):

10

Career Errors at Shortstop:

471

 

 

Sub-.500 seasons a/regular:

5

Expected Errors at Short:

504

+33

 

Career Value:

275

 

            There are profound and obvious similarities between Dick Bartell and Dave Bancroft.   They were both National League shortstops, overlapping eras, similar hitters.   Both of them played short for Philly for several years, got traded or sold to the Giants, had four really good years with the Giants—winning three pennants each--bounced out of New York, came back to the Giants to finish their careers.

            In one of my books, one of the Historical Abstracts, I cited a string of these similarities between Bartell and Bancroft, and wrapped it up by saying that if Bancroft belonged in the Hall of Fame, Bartell belonged, and if Bancroft did, Bartell didn’t.   One thing that I did not know when I wrote that was how similar their defensive play was, as well; they both have huge positive numbers in putouts, smaller positives in assists and errors, and they’re both negative in double plays. . .a pattern that suggests that they had strong arms.   If a shortstop has a strong arm he backs up and tends to play further from second, which enables him to chase down more balls in shallow left, and still make the throw to first when he has to.   A shortstop with a weaker arm tends to creep in and cheat toward second, resulting in more assists but fewer putouts.  Bancroft and Bartell are defensively similar as well.

            But having said that, I now realize now that this was not the best logic.   What I was saying was that because Bancroft and Bartell have a long string of the same characteristics, that makes them equally qualified for the Hall of Fame.   It doesn’t.  That they have many of the same characteristics makes them similar; it doesn’t make them equal.   Bartell has a won-lost contribution of 251-203; Bancroft, of 262-183.   Those are similar records and it’s a small difference, but you have to draw a line somewhere.   It is not unreasonable to draw that line between Bartell and Bancroft, even though they are unusually similar.

            Which is the same argument as with Omar and Ozzie; yes, they are similar on many different levels.   But the fact that they are similar does not make them equal, and it may be reasonable to draw a line between them.

 
 

COMMENTS (8 Comments, most recent shown first)

glkanter
HoFer Luis Aparicio is pretty good company for Omar, too. I wonder if there's some way to set up SS brackets to wager on how Omar ultimately fares as an HoFer in this study?
10:44 PM Mar 18th
 
kcale
I agree Mark. I did a derivative of win shares and it was remarkable how close Omar and Aparicio came out on offense and defense. The only real difference was that Aparicio had the better early career and Omar the better late career, mostly because of offense. Ozzie is a better case for the HOF than both of them.
10:18 PM Mar 17th
 
glkanter
Mark R., I meant no offense, and I was making no comment at all regarding your comment.
4:51 PM Mar 17th
 
bbmarks
I know the similarity scores are for offense, but Ozzie Smith was probably a better fielder than either Vizquel or Aparicio, though all 3 were good. Sean Smith's Total Zone Runs, based on balls fielded and DP's turned puts Ozzie Smith at +239, Aparicio at +149 and Vizquel at +134. So how does this change the fact that Vizquel is still more similar to Aparicio than Ozzie? In fact, when you include the fielding, it makes Vizquel MORE similar to Aparicio and LESS similar to Ozzie Smith.
3:08 PM Mar 17th
 
glkanter
Mark R. - it was pointed out to me some time back that the B-R similarity scores are for offensive stats only.
6:15 AM Mar 17th
 
bbmarks
According to baseball-reference, Omar Vizquel's most similar match is Luis Aparicio, not Ozzie Smith. Ozzie Smith will probably far outdistance both of them in win shares, but I'm interested to see how Vizquel and Aparicio stack up to each other.
8:40 PM Mar 16th
 
glkanter
That last sentence is the key. Will there be other HoF shortstops between Ozzie & Omar? The discussion started with Omar perhaps 'stumble into' the HoF, while Ozzie got in on the 1st ballot. Does 'similar' indicate such a difference in description?
5:39 PM Mar 16th
 
doncoffin
Donie Bush was also associated, for a long time (1941-1969), with the Indianapolis Indians. In fact, Bush Stadium (formerly Perry Stadium and Victory Field) was re-named for him in 1969.
2:41 PM Mar 16th
 
 
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