In terms of detailed analysis, looking at a player's ability as a power hitter often involves using statistics such as someone's 'slugging percentage' (a function that's calculated by evaluating someone's number of moments at bat in relation to the nature of their hits and strikes). 'Isolated Power' (ISO), a measure showing the number of extra bases earned per time at bat that's calculated by subtracting someone's batting average from his slugging percentage, is another statistic used.[2]
By keeping it BA over OBP, you keep more players valuable in fantasy and there is much more strategy because the knowledge of starting a guy like adam Dunn might help you in the power categories, but it will hurt you elsewhere… or if you start a BA guy it will help you in BA but might hurt you elsewhere… BA calls for more balance and more strategy, and i am a fan of that(thats where my preference comes in)…
Comparing a baseball or softball swing to a car engine is something that I do almost everyday. It’s an easy way to help kids and parents understand how the system inside the swing works. For someone who doesn’t look at hundreds of swings a day, it can be difficult to identify or help a player become a more efficient swinger of the bat. A lot of times coaches will see a result like a pop up or ground ball and associate the weak contact with lack of effort. Most of the time, this is simply not the case. In the following article I hope to help players understand the importance of not making “early mistakes” and also help coaches and parents break down the efficient swing. To do so, we will break the swing down into three phases.  The three phases are 1. Acceleration/Angle Creation, 2. Maintain, 3. Release. They are illustrated in the picture below in a Playoff home run by Francisco Lindor.
As the hitter has recognized pitch height, they will then use the separation between their pelvis and shoulders and much like a rubber band, “snap” into a violent rotation of their body. This immediate energy creation will transfer up the body and into the arms and hands which will then allow the barrel to flail or turn around the hands and knob. Whatever the hitter’s top barrel speed is, the goal should always be to get there as soon as possible. Just like a sprinter off the blocks, gaining top speed in the shortest amount of time is crucial to facing faster pitching.

GB% – This stands for ground ball percentage, which is the percentage of balls a player hits that end up as ground balls. The league average on grounders last year was just .239, which means that only about 24% of ground balls end up as hits. So, because of that, you would expect players who hit a lot of grounders to have a lower BABIP, right? This is not necessarily true, however, because most ground ball hitters end up being the speedsters that are more likely to beat out grounders than your average player. In general, you can expect players with a high GB% to have a slightly higher BABIP, but you definitely want to take a look at their speed before making that assumption.
You can make similar cases for mid-range average guys like Ben Zobrist and Jason Heyward who had averages in the .270 but on base percentages in the .350’s because they could draw walks.  I know, you could just add walks as a category but in doing so you would be penalizing players like Jones along with some of the players from the BA leaders above like Lorenzo Cain, Ben Revere and Josh Harrison.  Now you’re still gonna have those high empty OBP guys just like you would empty BA guys; nothing you can do about that, no system is perfect.  The difference is the right players are being rewarded.  If your hits and walks are equal you are getting on base at an equal clip, right?  Getting on base helps your team, just ask Billy Beane. 
But fear not! This is your crash course in advanced baseball stats, explained in plain English, so that even the most rudimentary of fans can become knowledgeable in the mysterious world of baseball analytics, or sabermetrics as it is called in the industry. Because there are so many different stats that can be covered, I’m just going to touch on the hitting stats in this article and we can save the pitching ones for another piece. So without further ado – baseball stats!
That's a difference of about one error every two games. This seems insignificant, but we can use Tom Tango's run environment generation program to see what kind of effect those extra errors would have on offense. Plug in the 2013 MLB batting statistics (counting HBP as BB and ROE as hits) and the program estimates a run environment of 4.8 R/G*. But double the amount of errors, and that number jumps by half a run to 5.3 R/G.
Charlie Metro: "The good hitters get their tip-off from the pitchers. And there are many, many ways that a pitcher tips off his pitches. He grips it like that [fingers straight over top of ball]; there's your fastball. When he throws a curveball, he chokes the ball [wedges it between his thumb and forefinger, gripping it on the side so it sticks out]. Now see how much white of the ball shows on a fastball? And how much more white shows on a curveball? . . . Another thing is when they bring the ball into the glove, when they come in with a flat wrist like that, that'll be a fastball. When they turn their wrist like that, it's a breaking pitch. There are many, many ways, and the good hitters pick out these things . . . facial expressions . . . human habits and characteristics will tell."
Connor Powers is a former Professional Baseball Player (Padres Organization 2010-2013) who has a passion for teaching others how reach their goals in the game of baseball. Since 2012 Coach Powers he has had his YouTube videos viewed over 3.3 Million times and has over 24,000 subscribers to his YouTube channel. His specialties are maximizing bat speed, improving batting average, and taking hitters from average to elite.

We’ve looked at the players with the higher batting averages, now let’s look at some of those players with low averages who were cursed at and ignored in fantasy.  We’ll start with last years whipping boy Carlos Santana and his .231 batting average.  We all loved his power and RBI numbers, but he dragged our averages down like the Titanic.  It might surprise you to know that Santana had a .365 OBP thanks in part to his 113 walks.  As a catcher we can tolerate low averages if a player hits for power, but not from someone who plays first (or third).  Using OBP though, Santana’s numbers were equal to Morneau in 3 categories and he had 10 more home runs. 
LD% – This stands for line drive percentage, which is the percentage of balls a player hits that end up as line drives. As you might imagine, line drives are harder to field than any other type of batted ball, so you can expect them to fall for hits much more often. The league average on liners last year was .690, which means that you can expect a line drive to fall for a hit roughly 69% of the time. It makes perfect sense, then, that the more line drives a player hits, the higher you can expect their BABIP to be. This is supported when you compare the BABIP of players with a LD% above-league average (.313) to their counterparts with a below-league average mark (.297).
Adjusted ERA+ Base runs Batting average on balls in play Batting park factor Catcher's ERA Defensive Runs Saved Extrapolated Runs Game score Isolated Power Range factor Runs created Runs produced Secondary average Speed Score NERD Out of zone plays made Ultimate zone rating Value over replacement player Weighted on-base average Wins Above Replacement Win probability added Win Shares
Those three stats (K%, BB%, BB/K) are the bulk of what is used to determine a player’s plate discipline, but there are actually quite a few more advanced stats that can be used get a much deeper look into a player’s approach at the plate. It’s really not necessary to get very in-depth with these stats, but a simple description and league context is really all you need to be able to apply them.

This is often overlooked but feeling torque in your front side is important. Work on this by trying to hit a ball as far as you can off a tee. Feel the hands back as your bottom half starts your swing. The torque created from separation is extremely important if you want to hit the ball further.  Click here for more tips on how to achieve good separation in your baseball swing.

Overall, BABIP is a stat that is largely out of the batters control, which makes sense because as a hitter, once you hit the ball onto the field, you can’t affect what happens next. The league average BABIP is usually right around .300, meaning balls in play typically land for a hit about 30% of the time. So in theory, if a player has a BABIP of .350, you might say he had a “lucky” season, and you could expect him to regress the following season, right? On the surface it makes sense, but the whole point of this article is to look beyond just the surface stats, and that is exactly what we will do.

If the batter doesn't hit the ball just right, he's in trouble. An amazing series of reactions propels a shortstop or third baseman into the path of a hard-hit ball. In two steps or less, he may have already caught the ball and fired it to first base for an out, with a swiftness and assurance acquired only through years of practice. Inherited skill alone just won't do the job.
Henry Chadwick, an English statistician raised on cricket, was an influential figure in the early history of baseball. In the late 19th century he adapted the concept behind the cricket batting average to devise a similar statistic for baseball. Rather than simply copy cricket's formulation of runs scored divided by outs, he realized that hits divided by at bats would provide a better measure of individual batting ability. This is because while in cricket, scoring runs is almost entirely dependent on one's own batting skill, in baseball it is largely dependent on having other good hitters on one's team. Chadwick noted that hits are independent of teammates' skills, so used this as the basis for the baseball batting average. His reason for using at bats rather than outs is less obvious, but it leads to the intuitive idea of the batting average being a percentage reflecting how often a batter gets on base, whereas in contrary, hits divided by outs is not as simple to interpret in real terms.