In 1985, the sportswriter John Lowe developed quality start statistic for MLB which is a concept that a starting pitcher allows no more than three earned runs at least six innings in a game. According to the quality start, it eliminates fielding errors, blown saves, and poor run support; on the other hand, the quality start focuses on starting pitcher evaluation and corresponds to the personal success which consistent with concept of Sabermetrics. The statistic works well at MBL; however, it may not apply on Chinese Professional Baseball League (CPBL). Therefore, on this research, collecting data from Chinese Professional Baseball League official website and evaluating starting pitchers from 2005 until 2010 are used to develop the quality start statistic model at CPBL. As the result, starting pitchers as winning pitchers perform better than losing pitchers from 2005 to 2010. Also, recognizing innings pitched, earned run average, and on base against are critical factors which affect starting pitchers performing. In conclusion, combining affective critical factors and using logistic regression develops the model which applies for CPBL. Therefore, using this model to analyze starting pitchers in CPBL will more affect; also, it will show players‘ strength and quality more accurately.