Major League Baseball Team Statistics and Win Expectation Estimates, 1904-2025

Historical Major League Baseball team statistics compiled from Stathead. The data includes seasonal team performance metrics such as games played, wins, losses, runs scored and allowed, and win percentages. It also contains calculated win expectation estimates using different power exponents for converting runs to wins, along with error metrics for these estimates. The dataset was authored by Ricardo de la Peña and is hosted on Harvard Dataverse.

Use Cases

• Analyzing historical team performance trends based on seasonal win-loss records and run differentials.
• Comparing the accuracy of different win expectation models based on the calculated power exponents and squared errors.
• Studying the relationship between runs scored, runs allowed, and actual win percentage over a long time series.

Strengths

• Covers a long historical time range from 1904 to 2025.
• Includes derived analytical metrics for win expectation estimation and model error.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Stathead (https://stathead.com/baseball/)

Collection Method

Compiled historical data.

Time Range

1904-2025

Freshness

Last updated 2026-07-16 15:32:20; freshness should be verified.

Geography

Major League Baseball (United States and Canada)