So OBP=Runs, Billy Beane was right.  That doesn’t mean that the players on the left are bad, but they are inferior to the players on the right when it comes to scoring runs (and several other categories).  Justin Morneau had a fine season, but 17 home runs and 62 runs scored hardly make him the better fantasy player.  Lorenzo Cain stole 28 bases, but with 53 RBIs and 55 runs scored that .301 average is kind of empty, don’t you think?  So far OBP favors the better overall player.

It's easy for me here if I'm judging a player or team in any given season, because OBP is essentially measuring the amount of times a player doesn't make an out. If no one ever makes an out, I'm pretty sure the team would find a way to do just fine on the scoreboard, right? As for judging players in a historical context, I'll go with OPS+ because it lumps in on-base ability with power and adjusts for all eras, from the steroid era to dead-ball era and everything in between.
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.
Mark Trumbo led the majors in home runs (47) last season with the Baltimore Orioles yet could only parlay that into a three-year, $37.5 million deal with the club to return for 2017. Trumbo produced 2.2 fWAR in 2016, but was a liability in the field (his minus-11 defensive runs saved ranked him 170th out of 185 outfielders) and on the base paths (cost the Orioles two runs in 2016 due to his stolen bases, caught stealings and other base running plays).

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. 
Follow through. Properly following through is important for multiple reasons. Not only will it help you to add all-important distance generating backspin to the ball, but it will help point out any flaws in your swing.[7] In most cases, you want your hands to finish high which ensures that the bat head stays through the hitting zone as long as possible.

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.
Without a doubt, batting average is important.  It shows a hitters ability to reach base on a swing, a vital part of baseball.  However, let's compare the two statistics in a more logical manner.  Every inning, there are three outs that the defense must make in order to end the inning.  On base percentage shows the odds that a hitter does not make one of these three outs.  It is calculated by counting walks as well as hits, so prolific walkers will often display a high differential between batting average and on base percentage. 
Some of these can be dismissed while others can be countered.  You can say power hitters are more valuable because they draw walks, but there are also non power hitters that draw walks that would benefit as well.  A majority of those power hitters are early round picks so you’re really putting their value where it should be as opposed to increasing it.  If anything, the non power hitters that draw high walks benefit more from this. 
IFH% – This stands for infield hit percentage, which is the percentage of ground balls a player hits that end up being infield hits. It actually ties right into the fact I mentioned earlier about speedy players beating out grounders, and IFH% is the stat we use to measure that skill. Players with a GB% and IFH% that were both above-league average put up a .315 BABIP last year, as opposed to their counterparts, whose BABIP was just .300.

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
Of course there’s some difficulty in identifying the best active hitting pitchers, foremost because hurlers are so often asked to just lay down a bunt or attempt to move a runner via sacrifice. And those are good skills to have. So we decided to use OPS (on base % + slugging %) as a measure because sacrifices are filtered out from at-bats and OPS indicates pitchers that can hit and hit for extra bases, and also draw a walk. Now take a look at this group of pitchers’ hitting credentials (minimum 40 at-bats). Also note that the MLB average OPS across all hitters in '16 was .739. 

If perhaps you are a larger player with more height and/or weight, you do not need as much movement to generate the force needed to be successful. Having said that, even if you do have size at a young age, it is still important to learn that you can move more if you want and therefore hit the ball harder. Guys like Albert Pujols don’t move forward much but definitely still move forward some.
Here's a quick example: Ichiro Suzuki had a record 262 hits in 2004. He also walked 49 times and was hit by 4 pitches. The sum is 262 + 49 + 4 = 315. He had 704 at bats, 49 walks, 4 hit by pitches, and 3 sacrifice flies on the year. That sum is 704+49+4+3=760. Dividing 315 by 760 gives the on base percentage of .414. That's not too bad, but it's not much higher than his batting average, which was an impressive .372. By comparison, Jose Bautista had a respectable batting average of .286 in 2014, but still reached base at a very strong .403 clip, helped by 104 walks.

Baseball, specifically hitting, is being dramatically altered by today’s data driven, analytical beliefs. How do we achieve desirable results and not drastically change the proven swing path that dates back to Babe Ruth, Hank Aaron, and Roberto Clemente? What if I showed you similarities in the swings of Albert Pujols and Ichiro? (You would be amazed).

At the hitting vault, we use two basic drills focused specifically on unlocking the lower half and hitting with more power. The half turns drill is essential to begin learning and mastering the movements to the point of contact with the lower half. It is incredibly important to be in a good, strong position with your hips and legs to drive the ball. To do this drill, you are going to want the hitter to pin the barrel of the bat against the back leg, and the handle/knob of the bat against the back shoulder, demonstrated in the picture. Working from this position is going to keep the front shoulder closed, preventing flying open and rolling over.
In Part 1, we'll take a look at the method to the madness of on base percentage (OBP) and slugging percentage (SLG) and see if we can give them their due respect on the scale of importance. In part 2, we'll explore why wOBA is a better stat to use than OPS and produce a scale so we can easily see what wOBA is above or below average and how the Tigers' players fit in.

To compare the performance of OBP and gOBP, we compute a weighted mean squared error (WMSE) to quantify the difference between the expected and actual statistic for the set of batter/pitcher matchups in each bin. The number of plate appearances is used to weight each bin, so that more common pairings affected the final score more than rarer ones. We collected all matchups between batters and pitchers with at least 50 total PAs in a season from 2010 through 2013, a sample of more than 750,000 PAs. The WMSE (along with the unweighted mean squared error) for both OBP and gOBP are given below.
Another very common stat used to measure plate discipline is a player’s walk-to-strikeout-rate (or BB/K). This is again a fairly straight forward stat, and it is measured simply by dividing a player’s walk total into their strikeout total. The result gives you the average number of times a player walks between each strikeout. So if a player had a BB/K of an even 1.00, that would mean that they walked just as often as they struck-out (which is exceptionally good plate discipline).
These are important because they show you how often (on average) a player walks and strikes out. Unlike batting average, K% and BB% are given in a direct percentage format, so there’s no need to translate it. The application of these stats is pretty straightforward; a player with a high BB% and low K% would typically have a good batting eye, and a player with opposite-type numbers would typically have a poor batting eye.

Doug you’ve done a great job putting this all together. I’m a former minor leaguer and now a hitting instructor at the Hudson Baseball Center in NJ and couldn’t agree with you more on your hitting technique. It’s tough to find people that haven’t played at a high level to understand that swinging down doesn’t mean ground balls all the time and that it does create backspin on the baseball. Even when I demo it for them its hard for them to believe but having you share the same info really helps. I’ve shared your page with some of my friends that have played in the minors and they also agree. Thanks, I’ll be following your page.
The Hitters Power Drive device is very portable. The built in handle makes it easy to carry and transport. The device can be used on a floor, flat ground, any outdoor surface or indoor practice surface. Hitters can practice from the hitting training aid on their own with or without hitting baseballs from their hitting power initiation position. Without having to hit baseballs to practice and receive feedback it allows use in their yard, inside their home, basement and garage. With the unit being very portable measuring 14’inches in circumference” and weighing approximately 19 pounds they can transport from their home to the yard, gym, training rooms / facilities or field.

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

We need to compare the best batting averages from 2000 — when offense was at an all-time high, thanks at least in part to the prevalence of performance-enhancing drugs in the game — with the averages of today, with pitching strong and PED testing rigorous. In 2000, 30% of all major league players with 400 plate appearances finished with a .300 batting average or better. So in 2014, if a hitter ranks in the top 30% of batting averages, why shouldn't he be considered the equivalent of a .300 hitter from 15 seasons ago?