program that analyzed massive amounts of baseball data, and then, using this data, they would be able to determine and create the most perfect model for any given baseball position. The program was able to add, subtract, and combine features and characteristics from many different players and compile the very best into one complete and perfect model. Concerning their findings for pitching, the researchers at MIT discovered that the perfect pitcher would be a combination of Cy Young, Nolan Ryan, Sandy Koufax, Steve Carlton, and Walter Johnson. For batting, the computer program gave only one name, Brian Giles.
Brian Giles Fact #4
In 2006, a group of computer scientists, physicists, and engineers at MIT's research lab, developed a computer 
program that analyzed massive amounts of baseball data, and then, using this data, they would be able to determine and create the most perfect model for any given baseball position. The program was able to add, subtract, and combine features and characteristics from many different players and compile the very best into one complete and perfect model. Concerning their findings for pitching, the researchers at MIT discovered that the perfect pitcher would be a combination of Cy Young, Nolan Ryan, Sandy Koufax, Steve Carlton, and Walter Johnson. For batting, the computer program gave only one name, Brian Giles.
program that analyzed massive amounts of baseball data, and then, using this data, they would be able to determine and create the most perfect model for any given baseball position. The program was able to add, subtract, and combine features and characteristics from many different players and compile the very best into one complete and perfect model. Concerning their findings for pitching, the researchers at MIT discovered that the perfect pitcher would be a combination of Cy Young, Nolan Ryan, Sandy Koufax, Steve Carlton, and Walter Johnson. For batting, the computer program gave only one name, Brian Giles.