The .400 Club

This article was written by Trent McCotter

This article was published in 2004 Baseball Research Journal


Since the National League started in 1876, there have been only 28 seasons in which a batter finished with a batting average of .400 or higher. Wanting to see how different players had achieved the rare feat of batting .400, I used many different sources to compile different “splits” about each and every .400 season. I inputted the game-by-game stats into a database for each player to calculate statistics that I think help compare the .400 hitters, from Ross Barnes to Ted Williams. If nothing else, they provide some interesting facts about each of these fantastic batting seasons, such as the four times that a player reached .400 in the final game of the season, including one batter who did it twice!

A NOTE ABOUT THE STATS

I used the standard interpretation for batting average (H/AB) for all seasons, even those from 1876 and 1887, in which walks were 0-for-1s (1876) or 1-for-1s (1887). Also, I included only those players who qualified for the batting title that season as the cutoff for .400; seasons like Craig Wilson’s .468 average in 1998 (22-for-47) aren’t included. While compiling the splits for these seasons, I found a few errors in official totals, which I have incorporated into these splits. See the section titled “Why Some Numbers Are Different” to see which numbers are different from what most books have and why the change was made.

EXPLANATIONS FOR THE CHARTS

The categories are mostly self-explanatory, but definitions should be given just for clarity. The categories 1+H, 2+H, 3+H, etc., mean “games during the season in which the player had at least 1 hit (or games with at least 2 hits, 3 hits, etc.) with the percentage of games of that variety in parentheses.

The APR, MAY, JUN, etc., categories are the batting averages the player had in that particular calendar month, with the aggregate AB and H totals in parentheses.

The “home” and “away” categories list the batting average the player had at their home park and at away parks during the season, with the aggregate AB and H totals in parentheses.

The G >= .400 is the total number of games in which the cumulative season batting average at the end of a game was at or above .400. This category is like looking in the newspaper the day after each game to see what that player’s batting average was season-to-date; Nap Lajoie, the one player with 100%, started the season at .750 (3-for-4) in the first game and never fell below .400.

Z-Score tells how many deviations away from the mean the batting average was for that year. The z-score formula is

x – μ
____
σ

where x is the statistic of the individual player whose z- score is being calculated, μ is the mean for the entire league, and σ is the standard deviation. Or in this case:

((.400 hitter’s AVG) – (LgAVG))
______________________

Standard deviation of LgAVG

I used data only for players with 200+ AB in the league season, not including the player that was being evaluated. For instance, for Ted Williams’ 1941 season, I used only averages from players with 200+ AB in 1941 American League, not including Williams’ data. I then used the z-score to find the probability of that batting average in that particular season, using the normal density curve (the bell-shaped curve). For normal distributions (and major league batting averages are close to normal data), then 68% of all averages will be within one standard deviation of the mean, 95% within two deviations of the mean, and 99.7% within three deviations of the mean. Using a graphing calculator allows a more precise percentage to be given for z-scores that are not even numbers like one or two. When one is divided by the area under the curve, the probability of that batting average in that season results:

The “2004 Equivalence” is what the .400 batting average would translate into in “2004 average.” The formula is (z-score x Stand. Dev. Of 2004 AVG)+League AVG of 2004. This uses the player’s z-score to give us its 2004 equivalent in terms of deviations above mean. Since Standard Deviation of league averages has been going down, batting .400 is becoming

Table 1. Games in Which the Cumulative Season Batting Average at the End of the Game Was at or above .400

Player

Year

Tm

Lg

AB

H

AVG

G

G>.400(%)*

H. Duffy

1894

BOS

NL

539

237

.4397

125

68(54.4%)

T. O’Neill

1887

STL

AA

517

225

.4352

124

105(84.7%)

R. Barnes

1876

CHI

NL

322

140

.4348

66

43(65.2%)

N. Lajoie

1901

PHI

AL

544

232

.4265

131

131(100.0%)

W. Keeler

1897

BAL

NL

563

239

.4245

129

112(86.8%)

R. Hornsby

1924

STL

NL

536

227

.4235

143

112(78.3%)

T. Cobb

1911

DET

AL

590

248

.4203

146

124(84.9%)

G. Sisler

1922

STL

AL

586

246

.4198

142

140(98.6%)

T. Turner

1894

PHI

NL

347

145

.4179

82

78(95.1%)

S. Thompson

1894

PHI

NL

451

187

.4146

102

101(99.0%)

F. Dunlap

1884

STL

UA

449

185

.4120

101

99(98.0%)

E. Delahanty

1899

PHI

NL

581

238

.4096

146

137(93.8%)

J. Burkett

1896

CLE

NL

586

240

.4096

133

68(51.1%)

T. Cobb

1912

DET

AL

553

226

.4087

140

66(47.1%)

J. Jackson

1911

CLE

AL

571

233

.4081

147

51(34.7%)

G. Sisler

1920

STL

AL

631

257

.4073

154

75(48.7%)

T. Williams

1941

BOS

AL

456

185

.4057

143

112(78.3%)

J. Burkett

1895

CLE

NL

555

225

.4054

132

81(61.4%)

P. Browning

1887

LOU

AA

544

220

.4044

134

72(53.7%)

E. Delahanty

1895

PHI

NL

480

194

.4042

116

50(43.1%)

E. Delahanty

1894

PHI

NL

495

200

.4040

116

108(93.1%)

B. Hamilton

1894

PHI

NL

558

225

.4032

132

36(27.3%)

R. Hornsby

1925

STL

NL

504

203

.4028

138

64(46.4%)

H. Heilmann

1923

DET

AL

524

211

.4027

144

82(56.9%)

R. Hornsby

1922

STL

NL

623

250

.4013

154

21(13.6%)

B. Terry

1930

NYG

NL

633

254

.4013

154

79(51.3%)

H. Jennings

1896

BAL

NL

521

209

.4012

130

65(50.0%)

T. Cobb

1922

DET

AL

526

211

.4011

137

49(35.8%)

*This category is like looking in the newspaper after each game played by the .400 hitter, and tallying how many games they were at or above a .400 average for the season.

 

Highest Percentage of Games Finished At or Above .4000

  • 100.0%: Lajoie PHI AL 1901
  • 99.0%: Thompson PHI NL 1894

Most Games Finished At or Above .4000

  • 140: Sisler STL AL 1922
  • 137: Delahanty PHI NL 1899

Lowest Percentage of Games Finished At or Above .4000

  • 13.6%: Hornsby STL NL 1922
  • 34.7%: Jackson CLE AL 1911

Fewest Games Finished At or Above .4000

  • 21: Hornsby STL NL 1922
  • 49: Cobb DET ATL 1922

Reaching .400 on the Final Game of the Season

  • Ed Delahanty (1895): Entering 09/30/1895, he was at .3979. He went 5-for-5 on 09/30/1895 to finish at .4042.
  • Hughie Jennings (1896): Entering 09/26/1896, he was at .3996. He went 2-for-3 on 09/26/1896 to finish at .4012.
  • Rogers Hornsby (1922): Entering 10/01/1922, he was at .3997. He went 3-for-5 on 10/01/1922 to finish at .4013.
  • Rogers Hornsby (1925): Entering 09/27/1925(2), he was at .3992. He went 3-for-3 on 09/27/1925(2) to finish at .4028.

Note: Ted Williams is not listed because his average entering his last game on 09/28/1941(2) was .4040.

No player has ever had a batting average of .4000 or higher entering the final game of the season, and ended up losing it. However, Hornsby (1921) came close:

  • Rogers Hornsby (1921): Entering 10/01/1921, he was at .4024. He went 0-for-4 on 10/01/1921 AND on 10/02/1921 to finish at .3970. (Note: Hornsby’s average entering 10/02/1921, his final game, was .3997, so he just missed qualifying for this list). Players who came very close to batting .400

Players who came very close to batting .400

Player

Year

Team

Lg

AB

H

AVG

How close?

Cap Anson

1881

CHI

NL

343

137

.3994

-1AB(.4006)

Lefty O’Doul

1929

PHI

NL

638

254

.3981

+1H,-1AB(.4003)

H. Heilmann

1927

DET

AL

505

201

.3980

+1H(.4000)

R. Hornsby

1921

STL

NL

592

235

.3970

+2H(.4003)

Ed Delahanty

1896

PHI

NL

499

198

.3968

+2H(.4008)

Jesse Burkett

1899

STL

NL

558

221

.3961

+2H,-1AB(.4004)

Joe Jackson

1912

CLE

AL

572

226

.3951

+3H(.4003)

Players who batted .400 over a 162-game stretch

Player

Start

End

AB

H

2B

3B

HR

BA

Tony Gwynn

7-27-93

5-13-95

624

251

53

1

15

.402

Wade Boggs

6-09-85

6-06-86

641

257

50

2

12

.401

 

Table 2. Batting Average at Home and Away Parks

Table 2. Batting Average at Home and Away Parks

(Click image to enlarge)

 

Interesting Facts

  • All players batted at or above .4000 in their home parks.
  • Only 11 of 28 players batted at or above .4000 in road parks.
  • Four of the five highest home batting averages were in St. Louis ballparks.
  • Turner (1894) holds the records for highest road BA (.4429) and the lowest home BA (.4010) in the same season.
  • Hornsby (1925) holds the NL records for highest home BA (.4776) and the lowest road BA (.3320) in the same season.
  • Sisler (1920) holds the AL records for highest home BA (.4732) and the lowest road BA (.3408) in the same season.

 

Table 3: Batting Average by Calendar Month (Trent McCotter)

(Click image to enlarge)

 

3 tables are printed here: Months at or above .5000, Months of 56 or more hits, Months at or below .3000

(Click image to enlarge)

(Click image to enlarge)

 

Interesting Facts

  • Approximate odds of hitting .400 in 2004: z-score of 4.212 (or 1 in 79000)
  • Approximate odds of hitting .400 in 1894: z-score of 1.852 (or 1 in 31.2)
  • Batting .400 in 2004 would have been approximately equivalent to batting .505 in 1894. Nap Lajoie in 1901 is the only .400 hitter whose z-score would have resulted in a .400 or greater average in 2004.

 

Games with a certain amount of hits in the season

Player

Year

Team

Lg

AB

H

AVG

G

1+H(%G)

2+H(%G)

3+H(%G)

4+H(%G)

5+H(%G)

Hugh Duffy

1894

BOS

NL

539

237

.4397

125

106 (84.8%)

82 (65.6%)

34 (27.2%)

13 (10.4%)

2 (1.6%)

Tip O’Neill

1887

STL

AA

517

225

.4352

124

103 (83.1%)

70 (56.5%)

34 (27.4%)

14 (11.3%)

4 (3.2%)

Ross Barnes

1876

CHI

NL

322

140

.4348

66

57 (86.4%)

46 (69.7%)

25 (37.9%)

9 (13.6%)

2 (3.0%)

Nap Lajoie

1901

PHI

AL

544

232

.4265

131

114 (87.0%)

76 (58.0%)

33 (25.2%)

8 (6.1%)

0 (0.0%)

Willie Keeler

1897

BAL

NL

563

239

.4245

129

117 (90.7%)

82 (63.6%)

27 (20.9%)

11 (8.5%)

2 (1.6%)

Rogers Hornsby

1924

STL

NL

536

227

.4235

143

119 (83.2%)

75 (52.4%)

29 (20.3%)

4 (2.8%)

0 (0.0%)

Ty Cobb

1911

DET

AL

590

248

.4203

146

129 (88.4%)

84 (57.5%)

29 (19.9%)

5 (3.4%)

1 (0.7%)

George Sisler

1922

STL

AL

586

246

.4198

142

126 (88.7%)

72 (50.7%)

36 (25.4%)

12 (8.5%)

0 (0.0%)

Tuck Turner

1894

PHI

NL

347

145

.4179

82

68 (82.9%)

48 (58.5%)

24 (29.3%)

5 (6.1%)

0 (0.0%)

Sam Thompson

1894

PHI

NL

451

187

.4146

102

89 (87.3%)

58 (56.9%)

27 (26.5%)

9 (8.8%)

3 (2.9%)

Fred Dunlap

1884

STL

UA

449

185

.4120

101

87 (86.1%)

61 (60.4%)

24 (23.8%)

11 (10.9%)

2 (2.0%)

Ed Delahanty

1899

PHI

NL

581

238

.4096

146

125 (85.6%)

75 (51.4%)

30 (20.5%)

6 (4.1%)

2 (1.4%)

Jesse Burkett

1896

CLE

NL

586

240

.4096

133

115 (86.5%)

75 (56.4%)

34 (25.6%)

13 (9.8%)

3 (2.3%)

Ty Cobb

1912

DET

AL

553

226

.4087

140

119 (85.0%)

76 (54.3%)

25 (17.9%)

5 (3.6%)

1 (0.7%)

Joe Jackson

1911

CLE

AL

571

233

.4081

147

127 (86.4%)

76 (51.7%)

26 (17.7%)

4 (2.7%)

0 (0.0%)

George Sisler

1920

STL

AL

631

257

.4073

154

130 (84.4%)

74 (48.1%)

41 (26.6%)

12 (7.8%)

0 (0.0%)

Ted Williams

1941

BOS

AL

456

185

.4057

143

113 (79.0%)

50 (35.0%)

18 (12.6%)

4 (2.8%)

0 (0.0%)

Jesse Burkett

1895

CLE

NL

555

225

.4054

132

110 (83.3%)

73 (55.3%)

36 (27.3%)

5 (3.8%)

1 (0.8%)

Pete Browning

1887

LOU

AA

544

220

.4044

134

117 (87.3%)

71 (53.0%)

25 (18.7%)

6 (4.5%)

1 (0.7%)

Ed Delahanty

1895

PHI

NL

480

194

.4042

116

94 (81.0%)

61 (52.6%)

26 (22.4%)

11 (9.5%)

2 (1.7%)

Ed Delahanty

1894

PHI

NL

495

200

.4040

116

92 (79.3%)

64 (55.2%)

31 (26.7%)

10 (8.6%)

2 (1.7%)

B. Hamilton

1894

PHI

NL

558

225

.4032

132

112 (84.8%)

73 (55.3%)

27 (20.5%)

11 (8.3%)

2 (1.5%)

Rogers Hornsby

1925

STL

NL

504

203

.4028

138

111 (80.4%)

65 (47.1%)

22 (15.9%)

5 (3.6%)

0 (0.0%)

H. Heilmann

1923

DET

AL

524

211

.4027

144

123 (85.4%)

63 (43.8%)

21 (14.6%)

3 (2.1%)

1 (0.7%)

Rogers Hornsby

1922

STL

NL

623

250

.4013

150

135 (87.7%)

78 (50.6%)

32 (20.8%)

5 (3.2%)

0 (0.0%)

Bill Terry

1930

NYG

NL

633

254

.4013

154

129 (83.8%)

80 (51.9%)

32 (20.8%)

11 (7.1%)

2 (1.3%)

H. Jennings

1896

BAL

NL

521

209

.4012

130

106 (81.5%)

67 (51.5%)

29 (22.3%)

6 (4.6%)

1 (0.8%)

Ty Cobb

1922

DET

AL

526

211

.4011

137

111 (81.0%)

67 (48.9%)

21 (15.3%)

8 (5.8%)

4 (2.9%)

 

Leaders, hits per game (HPG)

One or more HPG

  • Most often: Keeler had 1 or more hits in 117 of 129 games in 1897 for 90.7%, the only player above 90.0%.
  • Most times: Hornsby had the most games with 1 or more hits with 135 in 1922 (out of 150 games for 87.7%).

Two or more HPG

  • Most often: Barnes had 2 or more hits in 46 of 66 games in 1876 for 69.7%, one of only 3 players with 2 or more hits in >60.0% of their games.
  • Most times: Cobb had the most games with 2 or more hits with 84 in 1911 (out of 146 games for 57.5%).

Three or more HPG

  • Most often: Barnes had 3 or more hits in 25 of 66 games in 1876 for 37.9%, the only player above 30.0%.
  • Most times: Sisler had the most games with 3 or more hits with 41 in 1920 (out of 154 games for 26.6%).

Four or more HPG

  • Most often: Barnes had 4 or more hits in 9 of 66 games in 1876 for 13.6%, one of only 4 players with 4 or more hits in >10.0% of their games.
  • Most times: O’Neill had the most games with 4 or more hits with 14 in 1887 (out of 124 games for 11.3%).

Five or more HPG

  • Most often: O’Neill had 5 or more hits in 4 of 124 games in 1887 for 3.2%, one of only 5 players with 5 or more hits in >2.0% of their games.
  • Most times: O’Neill and Cobb had the most games with 4 or more hits with 4 each O’Neill had 5 or more hits 4 times in 1887 (out of 124 games for 3.2%). Cobb had 5 or more hits 4 times in 1922 (out of 137 games for 2.9%). increasingly difficult.

Hopefully, these splits will provide some insight into how these great seasons were compiled, so enjoy!

 

WHY SOME NUMBERS ARE DIFFERENT

Ross Barnes, 1876

Since no game-by-game logs have ever been made in any form for NL players pre-1891, I had to use newspapers to put together Barnes’s splits. I used the New York Clipper for the majority of games, but also used the Chicago Tribune for about 40% of Barnes’s data. Using newspapers, I came up with two more hits for Barnes than what most encyclopedias list.

Pete Browning, 1887

In 1887, walks were counted as 1-for-1 in box scores. On August 31, 1887, Pete Browning went 4-for-7 by 1887 standards, but 3 of those were walks. Thus, Browning went 1-for-4 by today’s standards. When ICI (Information Concepts, Incorporated) made their game logs, they put Browning down as 1-for-7 with 3 walks. ICI clearly forgot to subtract the 3 walks from his at-bat total, as they did subtract 3 from his hit total. Browning should be listed as 1-for-4 with 3 walks by today’s standards, not 1- for-7 with 3 walks, which ICI used (which incorrectly used the 1887 definition for at-bats, but the current definition for hits). If ICI were correct, then this would mean Browning came up to bat 10 times in a 9-inning game, 2 more times than the known record. While there are probably many errors like this, this one gave Browning 3 more at-bats than he really had, and this error is a pretty obvious one.

Willie Keeler, 1897

The change for Keeler’s 1897 season is one fewer at-bat. I found this one while investigating Keeler’s 5-hit games in 1897. The Sporting News’s Complete Baseball Record Book lists Keeler with four 5-hit games in 1897, but the ICI logs made in 1968 and 1969 have Keeler with only two 5-hit games. One of the games listed by TSN but not ICI was on September 3, 1897. Most newspapers list Keeler as going 6-for-6 with no walks. However, data collected by Pete Palmer shows Keeler as 4-for-5 with a hit- by-pitch:

  • PA1) Single,Stolen Base, Run Scored (1st inning)
  • PA2) Reached on E6, Stolen Base, Run Scored (2nd inning)
  • PA3) Triple, Run Scored (3rd inning)
  • PA4) Hit-By-Pitch,Stolen Base, Run Scored (4th inning) PA5) Single (6th inning)
  • PA6) Single, Run Scored (8th inning) TOTALS–5 AB, 5 R, 4 H, 1 HBP

Since ICI lists Keeler as going 4-for-6, Keeler clearly should have one fewer at-bat than currently listed with. All sources agree that Keeler was HBP, and, using the number of total team plate appearances, it is impossible Keeler could have batted 7 times (6 AB and 1 HBP). Therefore, I have Keeler with 563 AB instead of his listed 564.

Ty Cobb, 1911

Most encyclopedias list Cobb with 248 hits in 591 at-bats for 1911. While inputting Cobb’s 1911 data from his official AL game logs into a database, I found that Cobb was really credited with 590 AB if the individual game totals were added up. However, the aggregate total listed at the end of Cobb’s sheet was the number used, which was incorrectly put as 591 at-bats. Since the totals were summed by hand, the likelihood of errors made for these early years is high; this mistake in addition means that Cobb should be credited with 1 fewer at-bat for 1911.

Tuck Turner, 1894

Sam Thompson, 1894; Ed Delahanty, 1894; Billy Hamilton, 1894; Jesse Burkett, 1895: These players all played in at least one protested game in the year listed. These games’ stats were counted by the National League office in the 1890s (except for wins and losses), but when ICI recalculated all stats from these years in the late 1960s, they incorrectly omitted the protested games’ stats in their totals. Using box scores, the totals have been updated to what they should have been. Here are dates and stats for each of these protested games; these stats have been added to the formerly listed totals for each of these players (these changes are shown in Total Baseball (8th ed.) and The Baseball Encyclopedia (2004).

 

Acknowledgments

Putting together all of these wonderful splits on some of the best seasons in baseball history required a great deal of aid from fellow researchers and friends. I would like to thank Bill Deane, Steve Gietschier, Pete Palmer, Brian Rash, and Bob Tiemann for helping me throughout this process; it simply would not have been feasible without their help.