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CPBL analysis and data insights

Calculating Linear Weights Without Play-by-Play Data

How we use Monte Carlo simulation and calibration to estimate historical run values for the CPBL, achieving 97.5% coverage against ground truth.

Jan 5, 20261 minRead more

Positional Adjustment in CPBL

How much is a catcher's bat worth compared to a DH? Applying Tom Tango's Position Switch method to 36 years of CPBL data.

Dec 30, 20251 minRead more

Defining Replacement Level in CPBL

How we calculated a CPBL-specific replacement level using K-Means clustering on 20 years of player data.

Dec 30, 20251 minRead more

myCPBL is Now Live

Introducing myCPBL - Advanced statistics and sabermetrics for CPBL fans.

Dec 24, 20251 minRead more
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