Nobody is their stat line. We've all seen hitters and pitchers perform above and beyond their potential (and well below it, I'll add). While we have stats like BABIP to help us determine how lucky a player is in a given year and the likelihood that the player will suffer a correction in his production, nothing is a given. Most statistics tend to cluster around a certain area, but you will always have outliers. Cuse, what you are looking at is something which can inherently be tied into human aspects of the game. I have no doubts that a player's own life can affect the way he plays a game. It won't necessarily have an effect, but, in various instances things beyond performance, you might see things alter a player's performance and ceiling. You see this in the minor leagues especially. Let's say a first baseman down in Peoria (Low A) hits .250/.310/.370 with 10 HRs over the course of a season, with nothing looking too out of whack in terms of K/BB, BABIP, and various splits. No one would bat an eye at those numbers. Frankly, for a first baseman at that low of a level, that is a pretty bad line. However, let's start adding variables on top of that stat line. The first baseman was actually 19 that season, with a lanky and thin frame. He showed a tremendous work ethic and enough athleticism to have plus defense at 1B. Moreover, the Midwest League was dominated by pitching that season, with a number of top prospects emerging and performing. All of a sudden, that stat line does not look so bad. Disappointing, yes, but not to the point of making a team likely to see the guy as minor league filler. If he showed up to camp the next season with a frame filled out with lithe muscle following an intense offseason workout regimen where he watched countless hours of tape and made a second home at the batting cages to get a better eye for breaking balls, I would definitely expect him to improve on that line. So, in that respect, I understand what you are getting at. However, statistics have inherent in them the notion of probability. They have predictive power, there is no doubt in anyone's mind about that. Neifi Perez's stat line has sucked for his entire career and there is no doubt in anyone's mind that it will continue to suck. When you have guys that bad, it will show. However, that predictive power can vary quite a bit in some cases. Carlos Zambrano is one of the best example on this team regarding this. We have a mountain of statistical data that strengthens arguments that he will either suffer an injury or have his performance decline this year (thank you Dusty F. Baker). He has some trends which are worrying from a statistical standpoint (increased walk rate). Yet, Zambrano is unusual. It could well be that he was able to withstand those countless 120+ pitch outings and will still be able to maintain his stuff. He might be one of the Top 5 pitchers in the NL this year for all we know. He most certainly has what it takes to get there, but we can't predict if something will happen using these statistics. All we have are probabilities, some of which are stronger than others. In Zambrano's case, it's hard to accurately pinpoint what is the strength of the probability of his decline. Hopefully this explained some things and didn't confuse people any further. :D