Thursday, January 30, 2014

How Competitive is Taiwanese Professional Baseball? A Look at CPBL Hitting.

Most fans of professional baseball in Taiwan (CPBL) will tell you that its competitiveness stands at around AA level. Some outsiders assess it as A+. Clay Davenport of Baseball Prospectus, who has rated the Japanese baseball as higher than AAA, and the Korean league as AA, guessed that the CPBL was about A+ after a cursory glance.

To answer this question, I use Clay Davenport's methodology of comparing performances of players who played across different leagues. His work in league comparisons has been the most extensive, being the only sabermetrician to assess foreign leagues. Looking at foreign position players who played in the CPBL from 2005-13, as well has Taiwanese position players who have played in the Americas, with at least 90 common plate appearances in each league, I compare their equivalent averages (EqAs) both playing in Taiwan and in the Americas (that includes the MLB, MiLB, and Dominican, Venezuelan, Puerto Rican, and Mexican winter leagues). I divide their Davenport-Translated EqAs in the other leagues by their EqAs in the CPBL. Then I take the weighted average of that percentage to determine the CPBL's competitiveness level in batting. I find that the CPBL has a rating of 0.74, which is below AA level. I also find that Taiwanese players who return improve their performances by a much wider margin than foreigners who play in Taiwan. If the CPBL were a major league, foreigners increase their performance by 33% on average. Taiwanese players increase their performance by 48%.

This is how Taiwan stacks against other leagues:
League Rating
MLB 1.000
Nippon Professional Baseball 0.92
International League (AAA) 0.89
Pacific Coast League (AAA) 0.85
Eastern League (AA) 0.82
Southern League (AA) 0.82
Texas League (AA) 0.80
Mexican League (AAA) 0.78
Chinese Professional Baseball League [Hitting Only] 0.74

In the future, I will redo the assessment for pitchers, and include the 2014 season, as well as use more park-centric park factors.

Methodology and Sources
I took all position players who played in the CPBL from the 2005-13 seasons, computed their EqAs in the CPBL. Numbers to calculate EqA were culled from the CPBL website, which had individual and league statistics for each year in existence. The EqA formula is available from Baseball Prospectus.

If you look at the formula, you will see that the EqA formula includes park factors (PFs). CPBL "fake" PFs for the years 2005-10 were calculated by Taiwanese sabermetrician Madboy. As explained in a previous post, the tongue-in-cheek name stems from the lack of a fixed stadium for each CPBL team. Since Madboy's "cooked" PFs for 2011 were a two-year average, I should augment it with the 2012 raw PFs. Using the same methodology from that Madboy used, I calculated the 2012 raw figure then computed the 2011 "cooked" figure with the following formula F2011=(2*F2011+RAW2012)/3. I also calculated 2011 independently. My results differed from Madboy, so for consistency I used my own to compute 2012's "cooked" figure.

For each player, I compared their EqA in the CPBL to their Davenport-Translated EqA in the major, minor, or Winter leagues, available and The comparative methodology I am about to describe is basically the same Clay Davenport used to assess the Japanese league. The only difference is that I use 90 minimal common plate appearances (PAs) as opposed to 100. The EqA have already been translated into their major-league equivalents. If a player played in a league that has Davenport-translated states before and after playing in Taiwan, I count them as two observations. Take Manny Ramirez for example. I count both the majors/minors to CPBL and the CPBL-Round Rock (AA). For the American/Japanese/Korean leagues, I use one to three seasons before or after the CPBL year, whatever is necessary to get my 200 PAs. Then I divide the Davenport-Translated EqA by the CPBL EqA and take the weighted average off each observation. had translated EqAs for every player and every year needed, except players who played in the Mexican League pre-2005. That Clay Davenport did not have them is understandable, as the MiLB website has Mexican League statistics only back to 2005. League statistics are required to normalize a player's EqA relative to the league's level. And the universe contained two players that played in the Mexican League in 2004 before playing in the CPBL in 2005: Mario Encarnacion and Wilton Veras. Fortunately, provided the league totals for 2004. I calculated their EqAs, using park factors for their teams available from the Baseball Prospectus 2005 Annual, and then applied Clay Davenport's multiplier for the league of 0.780.

The multipliers for the Mexican and Japanese leagues were obtained from the sources mentioned above. The minor league multipliers were obtained here.

Friday, January 17, 2014

CPBL Pseudo-Park Factors 2013

Thanks to Madboy for calculating the "Fake Park Factors" for the CPBL (Taiwan's professional baseball league) from 2004-11. The tongue-in-cheek name stems from that most CPBL teams lack a stadium in which they play all their home games. Using the same methodology, I derived the raw PFs for 2012-13. Since PFs require a three-year average, two if it's the most recent year, only the 2013 figures are for the moment. Madboy's disk crashed, so he is not able to give me the raw figures from 2011. I think it may be possible for me to derive more park-centric PFs in the future.

Team Pitching PF Batting PF
Brothers Elephants 0.987 0.995
Uni 7-Eleven Lions 1.021 0.982
Lamigo Monkeys 1.036 1.032
EDA Rhinos 0.991 0.978

2012 Lamigo Monkeys Batting PF 1.019 Pitching PF 1.021