Fossil evidence indicates that early humans hunted and ate other animals, and this seems to suggest that our catching and throwing capabilities may well be rooted in our development as hunters and tool users. Hitting or catching a moving animal requires an ability to estimate its path in advance. These are the basic skills required for every game of catch and throw, but for our ancestors, they may have been requirements for survival.
HR/FB% – This stands for home run to fly ball rate, which is the percentage of fly balls a player hits that end up as home runs. While this stat doesn’t play much of a role in BABIP due to the fact that home runs are factored out of the BABIP equation, it is definitely a key component of a player’s batted ball profile. HR/FB% is a stat that is largely skill based, but typically doesn’t see much fluctuation from year-to-year, so a player that posts a HR/FB% much lower than their career norm is very likely to bounce back the following season and vice versa.
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.
Power development for batting performance can be improved drastically through proper strength and power training. It is not to be trained through these ridiculous imitations of sport specific movement such as adding resistance bands or tubing to your bat and taking swings against the resistance of these tubes. I’ve also seen implements being attached to cable systems while mimicking swing patterns as well.
For small numbers of at-bats, it is possible (though unlikely) for a player's on-base percentage to be lower than his batting average (H/AB). This happens when a player has almost no walks or times hit by pitch, with a higher number of sacrifice flies (e.g. if a player has 2 hits in 6 at-bats plus a sacrifice fly, his batting average would be .333, but his on-base percentage would be .286). The player who experienced this phenomenon with the most number of at-bats over a full season was Ernie Bowman. In 1963, with over 125 at-bats, Bowman had a batting average of .184 and an on-base percentage of .181.
As stated, to hit a baseball with power, the batter's swing must stay connected to the powerful muscle groups. However, far too many batters are taught mechanics that use the arms rather than rotation to initiate the acceleration of the hands and bat. Using the arms to fire the hands ahead of rotation disconnects the swing from the larger muscles and hitting with maximum power is lost.
Leyland’s reference to "moneyball" when the topic of on base percentage came up (and he actually brought it up) might give us a sense of how one that is resistant to the "new way of thinking" looks at sabermetrics. To some, moneyball and sabermetrics are one in the same. Leyland did make reference to "the guys that make the money" when referring to sluggers. No doubt this is true. Players with big home run and RBI totals get paid more as free agents than players with only a high on base percentage or guys that play solid defense. The movie "Moneyball" features Oakland A’s GM Billy Beane, who tries to field a winner by assembling players that cost less money but have high on base percentages, run the bases well, and play solid defense. So it’s easy to see where Leyland, and no doubt many others, get the idea that "moneyball" and sabermetrics are all about "on base, on base, on base."Actually, that is a gross over simplification of what sabermetrics is all about.
An example is the Internet Archive, which uses the term in ranking downloads. Its "batting average" indicates the correlation between views of a description page of a downloadable item, and the number of actual downloads of the item. This avoids the effect of popular downloads by volume swamping potentially more focused and useful downloads, producing an arguably more useful ranking.