When it comes to hitting for contact, Chris Carter is pretty definitively the worst in the league right now. If we usual a literal interpretation of the hit tool and say that it indeed relates to specifically the statistic of batting average, Carter could be heading for the basement if his BABIP regresses to something more in line with his profile. Whichever way you slice it he is the very deserving winner of the final "MLB's Worst Tools" award. I'm sure it will adorn the mantlepiece of the of the Carter household for centuries to come.
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]
Batting average simply takes hits into account.  If we’ve learned any one thing from Moneyball it’s that guys that get on base are important regardless of how they do it.  Now I know I’m not going to convince you of anything without some numbers to back things up.  Let’s compare players in the top 20 for batting average to the OBP leaders.  I’ll exclude players like Andrew McCutchen, Jose Altuve and Miguel Cabrera who appear on both lists.
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?
These six drills are designed to generate more power for hitters across the games of softball and baseball. Working on a good path to the ball and through the zone is immediately one of the most important factors in driving the ball. Once that is worked, then can work on several drills to improve hip and lower half rotation, then work into weight transfer from the back leg through the zone, and put it all together with the crossover drill. For more drills to improve power for softball hitters, check out the hitting drills in The Hitting Vault.
The final argument is correct in its sentiment, just because a category is better in real life does not mean it is better in fantasy.  In this case though, OBP is the better category.  BA isn’t the only thing that needs to be changed.  I’ve made arguments for several other category changes in the past (which you can view below) and I’m sure there will be more arguments for change in the future.  Remember this game originally started out as 4×4, runs and strikeout were not included and were added later.  Someone realized the addition of these two categories would be beneficial, and it was a change that was easily made and accepted.  If they could realize back then that the game needed something else, we should be able to do the same thing today.  Granted it will never be a universal change due to the number of fantasy players today compared to 80’s and 90’s, but with so many sites allowing for customized scoring systems, it is something you can do for your league.
Batting Average (AVG): In the beginning. If you google the term "batting champion," you will come up with the hitter in each league that has the highest batting average, and has at least 502 plate appearances for the season. That player will be declared the "batting champion" in each league. Miguel Cabrera is the batting champion in the American League, but that doesn’t necessarily make him the league’s most productive hitter. Batting average measures the percentage of time that a hitter gets a base hit. Walks don’t count, and home runs count the same as an infield single. By the way, Cabrera also led the league in on base, on base, on base.
It waters down bad play of many and you are more willing to use players despite their weakness as a player are one-sided arguments made to favor BA.  Doesn’t batting average reward hits and dismiss players that walk.  And since when is drawing walks considered bad play, it’s a basic fundamental taught throughout the minors and is a sign of a patient hitter.  The weak hitters are the ones that can’t draw walks, and those players can be seen hacking away with a sub-par batting average when then get close to or in their 30’s.
Walk/strikeout ratio.  The exception is that he  does look at the ratio of walks to strikeouts.  Elite hitters in high school shouldn’t be striking out a lot.  No more than 7 strikeout in 100 at bats in high school.   For example, 12 walks and 88 strikeouts is NOT what they want to see.  On the other hand, more walks than strikeouts is very promising.   Orioles scout Jim Thrift knows that this stat shows a lot about a player’s discipline, hand/eye coordination and knowledge of the strike zone.    
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.
First compare the names on the left to the ones on the right.  Notice anything?  With the exception of Buster Posey, did you draft any player from the left side before any player on the right?  OK there is Dexter Fowler, but there are always a few exceptions with any example.  The players on the right are the superior players, Matt Carpenter included.  While he didn’t live up to expectations, Carpenter did score 99 runs.  The only players to score more runs from either list all come from the right side, Bautista and Trout.  Denard Span was 10th in the league in scoring runs (like I said, an exception to every rule) but the next highest player from the left side is Howie Kendrick down at #30.  Everyone else on the left had 81 or fewer runs scored where everyone on the right scored more than 81 times except Hanley and Fowler (who both had under 450 at bats due to injuries).
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.
While watching a New York Mets game early this season, before one plate appearance the broadcast graphics displayed that catcher John Buck had a batting average (AVG) of .400 and an on-base percentage (OBP) of .396. Several games later I saw a similar phenomenon for Buck, whose OBP was again several points lower than his AVG. (In other words, the stats presented were very likely to be actual and not an on-screen typo.)
While I don’t feel hitting coaches should try to “clone or cookie-cut” their hitters. I do believe we should strive to build on the strengths of every hitter. However, every good hitter, (past, present, and future), performs a series of sequential moves (working from the ground-up), that enables the barrel to enter the back of the strike zone, accelerating through contact. 
Prior to 2010 we only listed the top 100 and monitored those who made and slipped off the list. Here is that original fast fact preserved and now useless due to the list including 1000 names: Modern superstars are making the list as they meet the one-thousand minimum games played threshold: In 2001 Jeff Cirillo & Manny Ramirez met the requirements and joined the top one-hundred. In 2002 Cirillo slipped off the chart and Jason Giambi made it while Chipper Jones & Alex Rodriguez missed the cutoff by less than 2/1000 of a point. In 2003 Jason Giambi slipped off the chart, Chipper Jones just missed it once again (his career average is .30870), and Vladimir Guerrero vaulted onto the list at forty-first — higher than any other active player, that is until 2004 when Todd Helton launched into the top 20 all-time.
Players who hit 40 or more home runs produced 3.4 fWAR on average, the lowest rate since 2008 (1.8) and the third-lowest average on record since expansion, slightly behind the 1984 campaign (2.8 average fWAR from a batter with at least 40 home runs). Compare that with the average fWAR from batters with between 20 and 29 home runs (3.1 in 2016) and it is easy to see where the value lies.

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.

On base plus Slugging (OPS): Somewhere, half way between traditional statistics and sabermetrics is what Fox sportscaster Joe Buck called "that new OPS statistic." Yes, he actually said that, during the 2011 World Series broadcast. (Notice that I resist the strong temptation to go off on a rant tangent, here, in an effort to stay on topic.) On base plus slugging, or OPS, is just that. Take a player’s on base percentage and add his slugging percentage, and voila, you get OPS. Now, I think that OPS is a very useful statistic ... for sluggers. But it’s still very much a slugger’s stat. OPS gives one base for walks, two for a single, three for a double, four for a triple, and five for a home run. We’re used to seeing OPS being discussed in conversations now when discussing the MVP awards for each league and it's commonly used in baseball discussions these days.
Most baseball players think that hitting is all about the upper body and that they can simply ignore the fitness of the lower body. This is a grave mistake. When you are swinging your bat on the plate, your legs and trunk are playing a critical role in supporting your swing and adding momentum to it. So make lower body exercises a regular part of your drill as well. The lower body will help you add that extra bit of power into your hitting.
In baseball statistics, on-base percentage (OBP; sometimes referred to as on-base average/OBA, as the statistic is rarely presented as a true percentage) is a statistic generally measuring how frequently a batter reaches base.[1] Specifically, it records the ratio of the batter's times-on-base (TOB) (the sum of hits, walks, and times hit by pitch) to their number of plate appearances.[1] It first became an official MLB statistic in 1984.
To test this, I collected all batters in the Retrosheet database since 1975 who logged at least 300 plate appearances in two consecutive seasons. (Multiple batters, of course, could appear multiple times.) This covered 5,607 batters, from Barry Bonds's 2002 (.582 OBP, .587 gOBP) to Mario Mendoza's 1979 (.216 OBP, .219 gOBP). As before, I fit a linear relationship between each statistic in year 1 and the same statistic in year 2, and determined the respective correlation coefficients.
Great article! Your explanation of what it means to “relax” is definitely something all hitters struggle with, including myself. I’ve always been a “power-hitter”, but I didn’t really start hitting HRs consitently until I started putting backspin on the ball. For me at least, focusing on my swing and trying to have a backspin-promoting cut helped me RELAX and take the focus off of trying to kill the ball. I would grip the bat way too tight and pull everything, which was really frustrating. Another thing that helped me keep my hands relaxed was I started using that Pro-Hitter thumb ring that I saw pro’s like A-Gon and J Hamilton using… Again, great article! Thanks for providing more insight on something that all of us wish we could do at every at-bat haha! One can only dream…
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.

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).

When it comes to hitting for contact, Chris Carter is pretty definitively the worst in the league right now. If we usual a literal interpretation of the hit tool and say that it indeed relates to specifically the statistic of batting average, Carter could be heading for the basement if his BABIP regresses to something more in line with his profile. Whichever way you slice it he is the very deserving winner of the final "MLB's Worst Tools" award. I'm sure it will adorn the mantlepiece of the of the Carter household for centuries to come.