There’s a very good chance that you’ve heard these phrases at some point, “that was effortless” or “kid’s got easy power”. If you’re unfamiliar with “effortless power” you might not understand what I mean. Simply put it means that a hitter will display great power  but visually it doesn’t look like they tried to swing hard. Perhaps the more scientific way to describe and “effortless swing” would be, efficient.
To do this drill, you stride over the outside stick, and while completing the swing, work on getting the back foot over the back stick, really focusing on weight transfer. Note how in the pictures, she has stepped past the stick and to the tee, and in the next frame, began shifting her weight from her back leg to the ball. This drill is excellent for weight transfer and using the lower half to drive the ball.
The ability to accurately predict where the ball will be involves the extrapolative capacities of the brain, but these skills are not completely unique to humans. For example, relatively tiny-brained animals like frogs can spear flies on the wing with their sticky tongues. To do so, their brains must be programmed to determine when the flies are within range and which way they are moving. Dragonflies and birds of prey are able to dive on and capture small moving animals.
But there are other, better methods for predicting team runs scored. Statistics like weighted on-base average (wOBA) and runs created assign different weights to different events (e.g., a home run and a walk), and correlate even better with team offense. What about individual performance? Maybe gOBP does a better job of predicting a batter's true talent level, and thus is less random from one year to the next.
The best way I can explain “Hitting for Average” is that this tool is not just solely focused on a person’s batting average. This tool is more about having the ability to have a consistent swing, the ability to keep the bat on-plane for a long period of time, and the ability to square up baseballs on a regular basis. I wrote another article about having the ability to “Repeat Your Best Swing.”
Doug Bernier, founder of Pro Baseball, debuted in the Major Leagues in 2008 with the Colorado Rockies, and has played professional baseball for 5 organizations (CO Rockies, NY Yankees, PIT Pirates, MN Twins, & TX Rangers) over the past 16 years. He has Major League time at every infield position, and has played every position on the field professionally except for catcher. Where is he now? After 16 years of playing professionally, he is now a professional scout with the Colorado Rockies. You should click to watch this great defensive play by Bernier
The conclusion of the GIIB article shows that team gOBP has a correlation coefficient of 0.95 with R/G, a slight but meaningful improvement over the correlation coefficient of 0.93 between team OBP and R/G. This first test is straightforward: using Retrosheet, I collected team R/G, OBP, and gOBP for all 1,482 team seasons dating back to 1955. I then fit a linear model to these data and computed the correlation coefficients for each pairing. The results are below.
Certainly this feat also involves an almost instantaneous ability to estimate trajectories. In the case of the frog, researchers have been able to locate specific nerve cells in the frog retina and in the brain which are excited by small, dark, moving objects. The frog apparently pays no attention to these objects until their images begin to grow bigger on his retina, indicating that they are moving closer to him. If all other visual cues are right, out goes the tongue.
OPS stands for on base plus slugging and is exactly what it sounds like. You take a player’s OBP and add it to their SLG to get OPS. This stat is often used to measure a player’s overall ability as a hitter, combining their skill at getting on base (OBP) with their aptitude to hit for power (SLG). Sometimes it will be included at the end of a typical slash line, so if you see a slash with four different numbers in it, then OPS is what the fourth one represents.
Recent paleoanthropological studies suggest that our ancestors were walking erect four million years ago, long before we developed large brains. So it's just possible that our throwing abilities were already in use even at that early date, and that all possible trajectories for moving objects are already stored in our brains, waiting to be called up for use at any given moment.
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.
These are just a few examples of the many critical factors that come into play regarding your hitting power that go outside the scope of what I can control on the gym floor. Essentially, you can do everything I tell you to do in this article to improve hitting power, but if you don’t have the proper technique to execute and express that power then your first priority is to learn proper batting technique.
Certainly this feat also involves an almost instantaneous ability to estimate trajectories. In the case of the frog, researchers have been able to locate specific nerve cells in the frog retina and in the brain which are excited by small, dark, moving objects. The frog apparently pays no attention to these objects until their images begin to grow bigger on his retina, indicating that they are moving closer to him. If all other visual cues are right, out goes the tongue.

FB% – This stands for fly ball percentage, which is the percentage of balls a player hits that end up as fly balls. Flies are the type of batted ball that are least likely to end up as a hit, and the league average is just .212 for a 21% success rate. Also, because a lot of fly balls end up as home runs, the league average BABIP for flies is even lower at .126, which tells us that fly balls that stay in the field end up as hits just 13% of the time. It’s no secret that players who hit lots of flies will suffer in the BABIP department, and a quick comparison of players with an above-league average FB% (.297 BABIP) to their counterparts (.318 BABIP) will really drive home that argument.
The formula for determining On-Base Percentage (OBP) is to add the batter's number of hits, base on balls, and times hit by pitch together and divide this number by the sum of at-bats, base on balls, times hit by pitch and sacrifice flies. Most leadoff hitters in baseball typically have a high OBP as these batters have the ability to get on base consistently on their own and are slotted in the beginning of the order. It is possible for a player to have a higher batting average than OBP, but this is usually only if they do not draw many walks or get hit by many pitches or if they hit an inordinate number of sacrifice flies.

Josh Donaldson hit .255 and scored 93 runs; think some of those 76 walks helped him out?  Brandon Moss was the man to own in the first half even with a .268 BA, but was dropped like a rock in the second half where he hit .173.  His OBP slipped from .349 down to .310, but at least he was still playable thanks in part to 14.8% walk rate.  Adam Dun hit .219 in 2013 and while he hit 34, owners cursed him.  Forget the 76 walks and .320 OBP though, it doesn’t count in fantasy.  In 2012 Dunn hit 41 home runs and scored 87 times, but a .204 batting average had him on America’s most hated list.  Using OBP you could have had .333 thanks in part to his 105 walks which batting average didn’t take into consideration.  Dunn’s value in 2012 using OBP was slightly above Adam Jones and his 34 walks.  Dunn had 71 more walks and Jones had 76 more hits, similar results but Jones is rewarded for being on base an equal amount of times. 

When a hitter puts the ball in play, the major league average to get a hit is only slightly above .300.  The upper tier of hitters can average around .340, which is how they manage to consistently hit above .300 year in and year out.  What this number means is that a ball hit in fair territory (many swings do not hit the ball fair) has nearly a 70% chance of being an out.  This is where the walk comes into play.  Hitters who are patient enough to work counts and take pitches are much more susceptible to walks than those who chase every first pitch.  The odds of reaching base after taking 4 balls is obviously 100%.  Essentially, hitters must be lucky in order to get a hit, while drawing a walk guarantees them to reach base.  This is why the walk is such a vital part of baseball overlooked by many. 

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.
Here's how to practice the proper weight shift going back. Set up with your driver, but take a narrow stance, about 12 inches wide. Then make a slow-motion swing, stepping out with your right foot as you start the club away (above). This side step will get your weight shifting to the right. With your weight in your right instep, you're in position to drive your body toward the target as you swing down. That's how you hit the ball with power.
Slugging percentage (SLG): Compared to most of the other "old" statistics, slugging is beautiful in its simplicity -- it's simply total bases divided by at-bats, and gives us a nice snapshot of a player's power. Think about it, with batting average you have to factor in fielder's choices, errors and walks and the such, while slugging is easy (although, it is a derivative of batting average, as you need at-bats instead of plate appearances). It also passes my test for a useful stat -- immediate understanding of what it means when you glance at the number. - Rosecrans
In baseball, the batting average (BA) is defined by the number of hits divided by at bats. It is usually reported to three decimal places and pronounced as if it were multiplied by 1,000: a player with a batting average of .300 is "batting three-hundred." A point (or percentage point) is understood to be .001 . If necessary to break ties, batting averages could be taken to more than three decimal places.
Durocher, a 17-year major league vet and Hall of Fame manager, sums up the game of baseball quite brilliantly in the above quote, and it’s pretty ridiculous how much fans really don’t understand about the game of baseball that they watch so much. This holds especially true when you start talking about baseball stats. Sure, most people can tell you what a home run is and that batting average is important, but once you get past the basic stats, the rest is really uncharted territory for most fans.