Here at Red Reporter, some of us are more interested in statistics than others, but we've all been known to use these newer metrics. Unfortunately, we don't always take the time to explain the figures. I know that I'm frequently guilty of inserting statistics without providing an adequate illustration of their meaning. In an effort to provide context to these figures and their use, we've decided to roll out a new series of posts exploring these new metrics. We will start with the simpler statistics and work our way to others from there. You won't need a statistics or mathematics degree to understand these posts, and best of all, we'll have fun. I promise.
Shoeless Joe Jackson is the only other player to finish his career with a batting average over .350.[1] He batted .356 over 13 seasons before he was permanently suspended from organized baseball in 1921 for his role in the Black Sox Scandal.[4] Lefty O'Doul first came to the major leagues as a pitcher, but after developing a sore arm, he converted to an outfielder and won two batting titles.[5] The fifth player on the list, and the last with at least a .345 BA, is Ed Delahanty. Delahanty's career was cut short when he fell into the Niagara Falls and died during the 1903 season.[6]
Psychologists have observed that human babies as early as eight months of age already have expectations about the movements of objects within their field of view, which they cannot possibly have learned from experience, and which therefore must have been wired into their brains by the processes of evolution. And by the age of one year, human babies already have acquired some ability to catch and throw objects, an ability which improves with practice and neurological development.
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.

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#### On an individual level, I'm partial to OPS+ because it's a clear upgrade over traditional measures and, unlike oWAR (which I think is more accurate in a vacuum), it's not quite as off-putting to the uninitiated. I'll happily lean on oWAR when appropriate, though, as it contains a base-running component. On a team level, I tend to stick to runs scored and OPS with on-the-fly adjustments made for ballpark effects.

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."
the reason i think XBH is the perfect stat is for the same reason you dismissed it, because it does not consider HRs more important than doubles and triples… One problem with the traditional 5×5 is that we count HRs 3 times, Power is not the only important stat… and using XBH gives speed guys a little more value because now they can contribute well in the same amount of categories a power hitter can…
```Compared to catching a hard-hit line drive on the run, it would seem that catching the pop-up fly would be simple. But it isn't. It may be that, given enough time, the room for error in estimation of flight path actually increases; a player may think himself into an error. This is like trying to draw a straight line freehand. If you look where you want to draw the line and then just draw it there without concentrating, you will probably succeed in drawing a fairly straight line. If, on the other hand, you worry about how straight the line is, millimeter by millimeter, the task becomes impossible. Catching a ball may be easier when there's no time to think.
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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.
Charlie Metro: I did a lot of study, and I found that it's impossible to throw Rickey Henderson out. I started using stopwatches and everything. I found that it was impossible to throw some guys out. They can go from first to second in 2.9 seconds; and no pitcher-catcher combination in baseball could throw from here (pitcher's mound) to there (catcher) to tag (2nd base) in 2.9. It was always 3, 3.1, 3.2, so actually, the runner that can make that continuous, regular move like Rickey's can't be thrown out, and he's proven it.
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)…
The human ability to estimate trajectories of moving objects is difficult to explain. Good fielders begin their movement just as the ball is hit, without wasting even half a step. An outfielder instantly begins running toward the spot where he thinks the ball will fall. Sometimes, he will make a running catch without losing a stride, thrusting his glove into position at the last second.
##### Barry Bonds, who set the record for the most home runs in a season than any other player in Major League Baseball history, is often cited as a power hitter. His career was later bogged down by issues regarding performance enhancing drugs. However, he managed a total of 762 home runs while also earning a comparatively high ISO compared to his rivals, with the publication Business Insider labeling him #3 in a list of the greatest power hitters of all time.[2]

Have you ever wanted to learn more about the game's newer and more advanced statistics but didn't know where to start? Have you ever read an article that liberally mentions WAR or xFIP, leaving you feeling as if you walked into Math 401 when you haven't taken Math 101? It's ok, don't worry; that's how we all felt the first time we stumbled upon these figures. The good news is that the best of these statistics make a great deal of sense once they are explained. Often, though certainly not always, the calculation of these figures is straightforward upon closer inspection.

## On-base percentage (OBP): Unlike batting average, on-base percentage doesn't ignore working the count to earn a walk, stepping into an inside pitch or being such a terrifying hitter that one gets pitched around and/or intentionally walked often. There are four players with more than 2,000 career walks: Barry Bonds, Rickey Henderson, Babe Ruth and Ted Williams. And we're supposed to ignore that and concentrate on batting average? In its purest form, OBP is basically measuring the amount of times a hitter does not make an out. With only 27 precious outs in a regulation game, this stat is paramount. That this isn't mainstreamed as more important than batting average makes very little sense to me. [For more on AVG vs. OBP, click here. I wrote a lot more about it] -- Snyder

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.
Since the beginning of baseball, one stat has reigned supreme over all others:  the batting average.  Simply put, the best hitters are always considered to be those who possess the highest.  Every year, the best hitter in the game is generally considered to be the person who retained the highest batting average.  This brings about a question:  Is batting average really as important as it is made out to be?  Or is it actually less important than another similar stat, On base percentage?
Compared to catching a hard-hit line drive on the run, it would seem that catching the pop-up fly would be simple. But it isn't. It may be that, given enough time, the room for error in estimation of flight path actually increases; a player may think himself into an error. This is like trying to draw a straight line freehand. If you look where you want to draw the line and then just draw it there without concentrating, you will probably succeed in drawing a fairly straight line. If, on the other hand, you worry about how straight the line is, millimeter by millimeter, the task becomes impossible. Catching a ball may be easier when there's no time to think.
I do not consider loading the body to be a part of the actual swing, because it isn’t. However, there CAN NOT be an efficiently powerful swing without a proper loading sequence. The loading sequence for a any hitter is fundamentally the same but it may change due to the size, strength, and talent level of the individual. Players who are limited in size need to think about a more obvious momentum builder move like Jose Bautista shown below.

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.
His batting average is .370. His on-base percentage is .367. My understanding of the stats suggests that every time a hitter gets on base, his on-base percentage goes up. This should mean that if you get on base via a hit, both AVG and OBP rise. If you get on base via a walk or getting hit by a pitch, your OBP goes up but your AVG is unchanged. Ergo, your OBP must always be higher than your AVG.
"Graham," you're probably thinking, "I know the rules of baseball. Why is this relevant?" Well, teams that are better at avoiding outs score more runs than teams that make outs frequently. This is intuitive when you think about it. For one, when a player doesn't make an out, he reaches base. At the simplest level, scoring runs is a function of reaching base and advancing runners. A player who reaches bases also hasn't used one of those precious 27 outs, thus giving batters behind him the opportunity to advance him and others around the bases. This is why sacrifice bunts do not make sense in several situations. It is rarely a good idea to attempt to use an out. We look at OBP in order to determine which hitters and teams reach base with regularity, and thus preserve a team's outs.
Every hitter is entitled to their own style or preference when it comes to stance, set-up, and load. However, when the stride foots lands, all hitters are very much alike in their movements to and through contact. My emphasis will focus on the “non-negotiable” of consistent, hard contact—bat path. Learning to control the bat barrel is an enormous step forward in becoming the best hitter they can be.
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.
Wood is spending his first season in the AL after 7 in the NL (Cubs, Reds). He's also now a reliever so his hitting days are pretty much behind him, nevertheless he was solid at the plate with 9 homers, a triple and 8 doubles across 280 at-bats. And oh by the way, Wood also hit a home run in Game 2 of the Cubs' '16 NLDS series against the Giants after entering the game in relief of starter Kyle Hendricks.

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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?