Baseball Player Won-Lost Records

Games and Seasons for which Player Won-Lost Records are Calculated

Last updated December 1, 2018

Note: I made a change to my calculation of positional averages and expected context on January 10, 2019. These changes are described here.

At present, Player won-lost records are available for the following seasons. Seasons in italics are missing some games.

1921 - 1936
1937 - 2018
Most Recent Updates to Player Won-Lost records

Player won-lost records are calculated using play-by-play data. The source of this play-by-play data is Retrosheet. Retrosheet released its most recent set of play-by-play data on November 17, 2018.

The primary addition to Retrosheet's data with this release was the release of the most recent season, 2018. In addition, as part of Retrosheet's latest release, a combination of play-by-play and deduced accounts have also been released to complete the 1937 and 1938 seasons. In addition to these seasons, Retrosheet added play-by-play data for 53 games from previously released seasons (prior to 1937). Overall, play-by-play data for 3,101 new games were released by Retrosheet in its latest update. These data have been incorporated into my Player won-lost records as of December 1, 2018.

For seasons with missing data, teams are missing the following numbers of games. Team records in missing games are shown in parentheses (W-L-T).


American League

Boston 26(9-17-0)
Chicago 30(16-12-2)
Cleveland 10(4-5-1)
Detroit 64(39-25-0)
New York 23(14-9-0)
Philadelphia 30(10-19-1)
St. Louis 61(25-34-2)
Washington 58(31-27-0)

National League

Boston 23(9-13-1)
Brooklyn 40(21-18-1)
Chicago 50(26-24-0)
Cincinnati 0
New York 54(31-23-0)
Philadelphia 51(19-32-0)
Pittsburgh 24(12-12-0)
St. Louis 48(26-22-0)


American League

Boston 57(23-34-0)
Chicago 47(24-23-0)
Cleveland 12(9-2-1)
Detroit 69(42-27-0)
New York 36(23-13-0)
Philadelphia 1(0-1-0)
St. Louis 81(31-50-0)
Washington 75(36-38-1)

National League

Boston 59(11-48-0)
Brooklyn 4(3-1-0)
Chicago 36(20-16-0)
Cincinnati 0
New York 29(19-9-1)
Philadelphia 72(30-41-1)
Pittsburgh 63(36-27-0)
St. Louis 69(46-23-0)


American League

Boston 65(28-36-1)
Chicago 42(14-28-0)
Cleveland 20(14-6-0)
Detroit 64(44-20-0)
New York 40(23-17-0)
Philadelphia 5(1-3-1)
St. Louis 60(29-30-1)
Washington 64(25-38-1)

National League

Boston 51(26-25-0)
Brooklyn 5(4-1-0)
Chicago 37(22-15-0)
Cincinnati 0
New York 33(13-20-0)
Philadelphia 55(18-37-0)
Pittsburgh 64(36-28-0)
St. Louis 49(28-21-0)


American League

Boston 49(20-29-0)
Chicago 25(13-12-0)
Cleveland 10(3-7-0)
Detroit 65(30-34-1)
New York 28(17-9-2)
Philadelphia 1(1-0-0)
St. Louis 40(16-23-1)
Washington 56(35-21-0)

National League

Boston 35(14-20-1)
Brooklyn 1(0-1-0)
Chicago 21(15-6-0)
Cincinnati 0
New York 30(11-17-2)
Philadelphia 31(11-20-0)
Pittsburgh 13(8-5-0)
St. Louis 37(23-13-1)


American League

Boston 57(15-42-0)
Chicago 33(9-23-1)
Cleveland 2(1-0-1)
Detroit 72(41-30-1)
New York 31(20-10-1)
Philadelphia 3(1-2-0)
St. Louis 37(18-19-0)
Washington 59(40-19-0)

National League

Boston 60(34-25-1)
Brooklyn 4(0-4-0)
Chicago 33(17-16-0)
Cincinnati 17(8-8-1)
New York 28(16-12-0)
Philadelphia 33(12-21-0)
Pittsburgh 38(19-19-0)
St. Louis 33(15-16-2)


American League

Boston 41(15-25-1)
Chicago 31(11-19-1)
Cleveland 6(4-2-0)
Detroit 56(21-35-0)
New York 23(14-8-1)
Philadelphia 3(3-0-0)
St. Louis 31(18-13-0)
Washington 51(33-17-1)

National League

Boston 35(15-20-0)
Brooklyn 6(3-3-0)
Chicago 24(16-8-0)
Cincinnati 16(6-10-0)
New York 8(6-2-0)
Philadelphia 29(12-17-0)
Pittsburgh 10(3-7-0)
St. Louis 28(17-11-0)


American League

Boston 43(13-30-0)
Chicago 31(13-18-0)
Cleveland 2(2-0-0)
Detroit 63(33-30-0)
New York 23(11-12-0)
Philadelphia 6(4-2-0)
St. Louis 31(19-12-0)
Washington 51(30-21-0)

National League

Boston 45(23-22-0)
Brooklyn 4(1-3-0)
Chicago 22(13-8-1)
Cincinnati 25(10-15-0)
New York 10(7-3-0)
Philadelphia 43(14-28-1)
Pittsburgh 6(1-5-0)
St. Louis 27(21-6-0)


American League

Boston 58(23-34-1)
Chicago 36(16-20-0)
Cleveland 5(1-4-0)
Detroit 70(37-32-1)
New York 30(17-13-0)
Philadelphia 10(8-2-0)
St. Louis 21(10-10-1)
Washington 60(31-28-1)

National League

Boston 55(17-38-0)
Brooklyn 21(10-11-0)
Chicago 51(30-19-2)
Cincinnati 27(10-17-0)
New York 27(18-8-1)
Philadelphia 61(34-26-1)
Pittsburgh 20(12-8-0)
St. Louis 26(11-15-0)


American League

Boston 48(24-24-0)
Chicago 33(18-15-0)
Cleveland 18(4-14-0)
Detroit 63(30-33-0)
New York 15(8-7-0)
Philadelphia 2(2-0-0)
St. Louis 16(11-5-0)
Washington 55(28-27-0)

National League

Boston 41(19-22-0)
Brooklyn 17(13-4-0)
Chicago 24(16-8-0)
Cincinnati 8(4-4-0)
New York 7(4-3-0)
Philadelphia 52(12-40-0)
Pittsburgh 23(17-6-0)
St. Louis 18(10-8-0)


American League

Boston 46(11-35-0)
Chicago 18(10-8-0)
Cleveland 2(2-0-0)
Detroit 56(29-24-3)
New York 0
Philadelphia 10(7-3-0)
St. Louis 23(9-13-1)
Washington 49(31-16-2)

National League

Boston 37(16-21-0)
Brooklyn 33(15-17-1)
Chicago 21(15-6-0)
Cincinnati 14(6-8-0)
New York 26(16-9-1)
Philadelphia 31(8-23-0)
Pittsburgh 1(0-1-0)
St. Louis 21(15-6-0)


American League

Boston 51(14-36-1)
Chicago 16(10-5-1)
Cleveland 1(1-0-0)
Detroit 68(34-32-2)
New York 25(14-10-1)
Philadelphia 10(6-4-0)
St. Louis 64(29-34-1)
Washington 61(36-23-2)

National League

Boston 34(11-23-0)
Brooklyn 12(8-4-0)
Chicago 10(4-6-0)
Cincinnati 0
New York 15(7-8-0)
Philadelphia 38(20-18-0)
Pittsburgh 0
St. Louis 29(19-10-0)


American League

Boston 56(15-41-0)
Chicago 20(11-9-0)
Cleveland 3(0-3-0)
Detroit 68(36-31-1)
New York 24(3-20-1)
Philadelphia 17(13-4-0)
St. Louis 41(28-13-0)
Washington 69(42-27-0)

National League

Boston 36(12-24-0)
Brooklyn 0
Chicago 18(8-10-0)
Cincinnati 18(12-6-0)
New York 18(10-8-0)
Philadelphia 34(16-18-0)
Pittsburgh 0
St. Louis 32(20-12-0)


American League

Boston 60(23-36-1)
Chicago 13(6-6-1)
Cleveland 5(1-4-0)
Detroit 64(34-28-2)
New York 18(5-13-0)
Philadelphia 53(23-30-0)
St. Louis 17(11-6-0)
Washington 56(37-17-2)

National League

Boston 35(16-18-1)
Brooklyn 10(5-5-0)
Chicago 12(7-5-0)
Cincinnati 17(13-4-0)
New York 22(12-10-0)
Philadelphia 40(14-25-1)
Pittsburgh 0
St. Louis 20(10-10-0)


American League

Boston 59(22-35-2)
Chicago 38(24-13-1)
Cleveland 5(2-3-0)
Detroit 68(34-33-1)
New York 16(13-3-0)
Philadelphia 62(30-31-1)
St. Louis 27(12-14-1)
Washington 75(34-39-2)

National League

Boston 27(16-11-0)
Brooklyn 11(7-4-0)
Chicago 20(7-13-0)
Cincinnati 9(6-3-0)
New York 12(7-5-0)
Philadelphia 30(11-19-0)
Pittsburgh 0
St. Louis 19(10-9-0)


American League

Boston 66(21-45-0)
Chicago 14(8-6-0)
Cleveland 10(6-4-0)
Detroit 79(48-30-1)
New York 14(11-3-0)
Philadelphia 49(17-31-1)
St. Louis 45(33-12-0)
Washington 73(30-43-0)

National League

Boston 41(14-27-0)
Brooklyn 16(9-6-1)
Chicago 8(4-4-0)
Cincinnati 25(15-10-0)
New York 15(11-3-1)
Philadelphia 33(15-18-0)
Pittsburgh 0
St. Louis 32(16-16-0)


American League

Boston 60(34-26-0)
Chicago 34(11-23-0)
Cleveland 1(1-0-0)
Detroit 77(37-40-0)
New York 20(13-7-0)
Philadelphia 37(14-23-0)
St. Louis 56(30-26-0)
Washington 75(40-35-0)

1921 National League

Boston 34(22-12-0)
Brooklyn 9(1-8-0)
Chicago 22(7-15-0)
Cincinnati 18(6-12-0)
New York 13(7-6-0)
Philadelphia 16(4-12-0)
Pittsburgh 0
St. Louis 50(34-16-0)

Deduced Games

For games for which Retrosheet is unable to find play-by-play data, they construct what they call "deduced" games. These are play-by-play accounts which are constructed based on box score data and newspaper stories. In many cases, the resulting games are "plausible" but not necessarily unique. That is, there may be some uncertainty, for example, as to whether a particular batter singled in the first or third inning of a game.

Retrosheet distinguishes between what it calls "event files" - which consist exclusively (or, at least, almost exclusively) of known play-by-play events - and "deduced accounts" - which may contain some uncertainties. Retrosheet also only releases deduced games for full seasons. Working backwards in time, Retrosheet has released deduced games which cover every game for which event files are not available from 1937 through the present. I have helped to deduce a number of these games, starting with the 1949 season, and am continuing this deduction work for the 1936 season.

The total number of deduced games per season which are currently used in constructing Player won-lost records are shown in the next table. Note that Retrosheet has complete play-by-play data for all seasons since 1974 (as well as 1960, 1961, 1969, and 1970).

Season Deduced Games % of Total
1937 786.3%
1938 13611.1%
1939 917.4%
1940 1119.0%
1941 16913.6%
1942 13711.2%
1943 25820.8%
1944 38931.3%
1945 27922.7%
1946 21016.9%
1947 14511.7%
1948 16913.7%
1949 16012.9%
1950 14411.6%
1951 1098.8%
1952 1038.3%
1953 665.3%
1954 574.6%
1955 483.9%
1956 443.6%
1957 241.9%
1958 60.5%
1959 40.3%
1960 00.0%
1961 00.0%
1962 40.2%
1963 30.2%
1964 20.1%
1965 100.6%
1966 80.5%
1967 70.4%
1968 181.1%
1969 00.0%
1970 00.0%
1971 90.5%
1972 20.1%
1973 20.1%

For my purposes, I have calculated Player won-lost records from both sources: event files and deduced files. I have chosen to do so largely under the basic premise that some data is better than no data.

For (context-neutral, teammate-adjusted) eWins, the timing of events doesn't really matter, only that events happened - i.e., all that matters is that a player went 2-for-4 with a single, double, and strikeout in his 4 at bats, not when the hits happened or how many runners were on base when he struck out. Strictly speaking, this knowledge does not require play-by-play data, merely box-score level data, which are available and known with relative certainty for all deduced games (and, in fact, for all games dating back to 1906).

For pWins and pLosses, which are context-dependent, the exact timing of these events will matter. Even for deduced games, however, the timing of most events actually are known, and this is more true the more important the event (e.g., events associated with run-scoring innings are typically reasonably well covered in newspaper stories). Because pWins and pLosses are a perfect accounting structure with a fixed number of pWins and pLosses assigned within any single game (2 pWins and 1 pLoss to the winning team, 1 pWin and 2 pLosses to the losing team), any errors in credit based on the uncertainty of events will be limited to a single game and a single team: that is, if I have inadvertently credited too many pWins to a specific player in a specific game, I must have similarly credited too few pWins to this player's teammate(s). This could certainly still lead to errors in the calculation of Player won-lost records, but, I believe, it minimizes the likely significance of such errors.
Nevertheless, Player won-lost records based on deduced game accounts should, perhaps, be viewed with more caution than Player won-lost records based on event files. More generally, the quality of Player won-lost calculations is a direct function of the quality of the underlying play-by-play data and that quality generally declines the farther back in time one goes. This is perhaps most significant with respect to fielding records. It is common, for example, for the exact nature of batting outs to be uncertain (i.e., we know that a batter made an out, but don't know if he grounded out to the second baseman or flew out to left field, etc.) for most deduced games, but also for many event files as one moves farther back in time. In general, these uncertainties are probably somewhat greater within deduced games than within event files, but the reality is that these uncertainties move along a continuum from highly uncertain deduced games to very good deductions to somewhat weak event files to highly detailed event files.

Overall, while recognizing that there are uncertainties surrounding certain plays in certain games over time, I believe that the Player won-lost records presented on this website are calculated as accurately as possible given the data available to me as of today. I am also reasonably certain that the quality of these data will only continue to improve over time as Retrosheet continues its ongoing and impressive efforts to constantly add more and better data to its already impressive historical dataset.

A Comment About Deduced Games
I would also like to point out a couple of things about deduced games.

First, note that the number of deduced games is not uniformly increasing as Retrosheet moves further back in time. The number of deduced games in the earliest season for which Retrosheet has released deduced games, 1937 (78), is fewer games than in any season between 1938 and 1952.

Second, as of Retrosheet's previous update (in June 2018), Retrosheet was missing play-by-play data for 395 games in 1938 and 222 games in 1937. Those numbers have been reduced to zero. But of the 617 games added for these two seasons, only 214 of these games ended up being classified as "deduced games". The other 403 games (65.3% of the total games added) are straight event files. In some cases, Retrosheet had scorecards which had not been entered just yet last year. In some cases, in working through deducing the missing games, play-by-play data was found in some newspapers. And in some cases, in working through newspaper stories to deduce a game, it was discovered that filling in everything explained in newspaper stories left no uncertainties: some newspaper stories are detailed enough to place every baserunner in a game, sometimes multiple newspaper stories complement each other in a way that leads to all baserunners being covered, sometimes a few baserunner uncertainties are left that turn out to only be able to fit together in one possible way. It is impossible to say with certainty exactly how subsequent seasons will go, but it is quite plausible that additional historical seasons may end up with fewer than 100 deduced games (perhaps, in some cases, far fewer).

Updated Calculation of Player Won-Lost Records

For this update, I have re-calculated Player won-lost records for all seasons for which I calculate Player won-lost records. As a result of this, some Player won-lost records have changed even for more recent seasons where the underlying Retrosheet data have not changed.

Player won-lost records may change for several reasons. First, even in seasons for which full data were already released, some play-by-play data may have been updated. For example, Retrosheet may have obtained a more detailed scorecard which may give better data regarding fielding credits or baserunner advancements. In Retrosheet's most recent release, two deduced games (one in 1956 and one in 1968) were "promoted" to "event files" with this release.

Second, the split of shared credit between fielders and pitchers and between batters and baserunners on some plays is calculated using data from not only the particular season of interest but also from surrounding seasons. So, for example, the release of 2018 data will affect the split of credit in recent seasons (e.g., 2017, 2016, 2015, etc.).

Notes about Articles on the Website

The articles on this site are all written so that they pull data directly from the most recent version of the Player won-lost database. Hence, any numbers cited within these articles should automatically incorporate the most recent update to Player won-lost records. In some cases, however, the accompanying text may have been written based on previous versions of Player won-lost records. I apologize if this results in non-sensical text in any cases.

I hope you enjoy the Player won-lost records that I have available here. Thank you for visiting and please come back often!

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The information used here was obtained free of charge from and is copyrighted by Retrosheet. Interested parties may contact Retrosheet at "".
Baseball player won-lost records have been constructed by Tom Thress. Feel free to contact me by e-mail, follow me on Twitter, and/or subscribe to my YouTube channel.