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 last notable disadvantage of OBP is that it is not park or league adjusted. It is easier for players to post a higher OBP in parks such as Fenway Park or Coors Field than the Oakland Coliseum or Petco Park. Likewise, OBP has fluctuated throughout time. Carl Yastrzemski led the American League with an OBP of .395 in 1965. However, in 2001, Jason Giambi put up the highest mark at .477. There are ways to adjust numbers for park and league context, but we'll save that topic for a later date.
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.
Recall that we can use the batter's OBP, the pitcher's OBP, and the league OBP to find an expected OBP for a given matchup using the odds ratio. Since gOBP is still a proportion, we can use it to perform the same analysis. To determine which is more accurate, we first group the batters and pitchers into bins with width five points (.005). We then find an expected OBP for all pitchers and batters in that bin, and compare this to the actual results of those matchups. As an example, consider the first pair in our database: David Aardsma and Bobby Abreu, who faced each other once in 2010.
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.
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).
On-base percentage plus slugging percentage (OPS): Yes, this is a made-up, smashing together of two useful stats to make a mega-useful stat. Or, somewhat useful stat. I'll say this, since I also had the batting average and slugging percentage entries, I'm a big, big fan of the slash line, it gives you a basic idea of what kind of hitter a player is with three simple stats. Of those three, really, the batting average is the least important, I want to know how much a guy doesn't make an out and how much power he has. OPS tells me that, and despite different ways to get the job done (high on-base, low slugging speedy guy or big slugger who doesn't get on as much) a certain OPS gives me an idea, at least, that no matter what he looks like, he's productive. - Rosecrans
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.
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).
Back in the day when fantasy baseball was in its infancy, the standard 5×5 categories many leagues still use today seemed like a good thing. Well times they are a changing. Stats have evolved over the years, especially with the introduction and advanced use of sabermetrics throughout our real and fake teams. So if things have come this far, then why are we still using the same archaic scoring methods that were instituted by our founding fathers?
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.
While hitting for a high batting average does not exclude hitting for power, the most successful batters with the highest averages are very good at situational hitting. This means that they can identify gaps in defensive coverage or anticipate pitches better, giving them more of an advantage at the plate. A typical player with a high batting average is patient at the plate and can hit the ball effectively to both sides of the field.