Targeting the right hitters in your draft can often be a tricky thing. Ideally, your offense would be made up of 14 (assuming it’s a two-catcher league with five outfielders, a middle infielder, a corner infielder and one utility player) completely balanced players who can hit .300 while going 20/20 by season’s end. Unfortunately, though, it doesn’t always work that way, does it? There is nowhere near the number of five-tool players available for that to happen. That means you have to build your offense in different stages and what we’re going to do here is lay out each stage and target a number of specific players you’ll want to go after in your draft.

While I won’t sit here and give you a lesson in sabermetrics, I will say that there are a few statistics with which you need to familiarize yourself with to understand which hitters are worth targeting and which ones you want to leave to your competition. Some people get intimidated when presented with a whole bunch of number-crunching, so we’re not going to go into huge detail as to how these numbers are derived, but more what you should be looking for when presented the data. Call it a crash course in “Sabermetrics for Dummies.”

BABIP – It stands for Batting Average on Balls in Play and it measures how often a ball in play goes for a hit. No strikeouts, no walks, no sacrifice bunts and no home runs. The ball lands in the field of play for a hit. Typically, the average player’s BABIP is .300, though .299 was last year’s league average. Going above or below that benchmark obviously reflects what type of hitter you are. If your career BABIP is .320, you’re Adrian Gonzalez. If it’s .250, you’re Freddy Galvis. While luck can play a factor into a player’s BABIP, the word is usually used when a player’s BABIP has fluctuated significantly higher or lower than his career number. If Gonzalez has a .290 BABIP, you would say that he is suffering from some bad luck. Maybe the ground balls aren’t finding the holes or the line drives are being hit right at the fielders. Conversely, if Galvis has a BABIP of .300, you could say that he is particularly lucky at the moment. Players with a higher-than-average BABIP tend to have better batting averages and on-base percentages while they also stand the greater chance to record higher totals in the counting stats. Below is a list of players who, over the last three seasons, posted a cumulative BABIP over .300. We’ll leave out the obvious ones, as you don’t need me to tell you that Mike Trout is a good hitter with a strong BABIP, but we will leave in a few players who may have only played one season. After 400 plate appearances, you have a pretty good idea as to who can put the bat on the ball and who can’t.

PlayerPABABIPPlayerPABABIP
Danny Santana4300.405Alejandro De Aza19590.332
Yasiel Puig10720.366Brandon Belt14870.332
Starling Marte12930.363Adrian Gonzalez27000.331
Christian Yelich9330.363Mike Napoli19270.330
Dexter Fowler20900.355Alex Avila18210.330
Michael Bourn24870.350Chase Headley22690.330
Austin Jackson25550.342Marlon Byrd18510.330
Lorenzo Cain12110.341Ian Desmond24890.328
Corey Dickerson6910.340Allen Craig18010.328
Freddie Freeman25920.340Michael Morse18240.327
David Freese19620.339Andre Ethier21020.327
Matt Carpenter17850.338Dee Gordon13190.326
Drew Stubbs21300.336Daniel Murphy23740.326
Matt Adams9730.336Justin Ruggiano11530.326
Melky Cabrera22000.335Wil Myers7340.324
Torii Hunter24710.334Victor Martinez19040.324
J.D. Martinez14550.333Billy Butler26230.324
Jayson Werth21540.333Ben Revere19960.322
Michael Cuddyer17230.333Starlin Castro26800.321
Shin-Soo Choo22850.333Hunter Pence27510.319

LD% -- This stands for line-drive percentage. The fact of the matter is that line drives typically fall in for more hits than ground balls or fly balls. The league average in 2014 was 20.8 percent, which means we’re looking at hitters whose rate is higher. For example, Freddie Freeman has a career 26.7 percent line drive rate. Dan Uggla’s is 16.8 percent. Who’s the better target? For the sake of targeting hitters here, we’re looking at a cumulative line drive rate of 21 percent or more.

      
NamePALD%NamePALD%
Joey Votto219227.9%Angel Pagan190924.0%
Nick Castellanos59727.6%Matt Kemp202724.0%
Freddie Freeman259226.7%Jarrod Saltalamacchia173923.9%
Corey Dickerson69126.5%Kole Calhoun78423.7%
Danny Santana43026.0%John Jaso122723.6%
James Loney229626.0%Jason Castro129823.6%
Joe Mauer200025.9%Austin Jackson255523.6%
Ruben Tejada152325.8%Skip Schumaker133123.5%
Alejandro De Aza195925.2%Chris Davis197023.3%
Matt Carpenter178525.0%Dexter Fowler209023.3%
Jon Jay210124.8%Michael Bourn248723.2%
Gregor Blanco140824.4%Jason Kipnis203523.2%
Alex Avila182124.3%Dioner Navarro106123.2%
Andre Ethier210224.1%Michael Brantley239223.2%
Daniel Murphy237424.0%David Freese196223.1%

BB/K – The walk-to-strikeout ratio is a fairly good indicator of a player’s plate discipline. Yes, there are other factors that define plate discipline, but for the sake of this piece, we’re going to simply avoid swing rates. You can look those up on your own as you continue to refine your own search. Now obviously, players traditionally strike out more than they walk, so a career number of 1.00 or above is a rarity. The league average in 2014 was 0.37, but we’ll look for players significantly above that mark for our list. The better the plate discipline, the greater the on-base percentages and subsequently increased counting stats.

NamePABB/KNamePABB/K
Victor Martinez19041.10Nick Markakis25970.77
Ryan Hanigan11981.03John Jaso12270.77
Jose Bautista22551.03Matt Carpenter17850.74
Marco Scutaro16881.02Yunel Escobar23050.72
Alberto Callaspo20231.01Carlos Ruiz16790.72
Norichika Aoki18110.98Chase Utley20110.71
Joey Votto21920.96Michael Brantley23920.70
David Ortiz21900.90Jimmy Rollins26050.70
Prince Fielder22720.88Denard Span22090.69
Dustin Pedroia26870.87A.J. Ellis14030.69
Carlos Santana25690.84Matt Holliday24730.68
Coco Crisp22110.82Yadier Molina20670.65
Ben Zobrist26940.79Chris Iannetta14510.65
Joe Mauer20000.78Martin Prado25170.65
Albert Pujols24590.77David Murphy18990.63

ISO – This abbreviation stands for Isolated Power, and it is a measure of a hitter’s raw power, telling you how often a player hits for extra bases. Doubles, triples and home runs are weighted accordingly in the formula, but for the sake of this piece, we’ll just work off the .135 league average mark from last season. It works like any of these other metrics. Above the mark means more power. Below the mark means less. This is your power, people. Our list below includes some of the top power hitters in the game over the last three years. Again, we’ve left out the more obvious ones. You should already know that Giancarlo Stanton has a high ISO and is one of the league’s premier power guys.

NamePAISO   
Brandon Moss13870.248Albert Pujols24590.214
Chris Carter14630.242Mark Reynolds20950.213
George Springer3450.237Corey Hart14280.211
Corey Dickerson6910.237Prince Fielder22720.211
Khris Davis7020.236Wilin Rosario13590.209
Nelson Cruz22890.234Juan Francisco10070.209
Mike Napoli19270.234Carlos Beltran22660.206
Evan Gattis7830.234Adam Dunn22630.206
Curtis Granderson22740.232Michael Cuddyer17230.204
Carlos Quentin12980.225Joey Votto21920.204
Matt Kemp20270.224Justin Upton25860.204
Josh Hamilton21910.222Nolan Reimold5920.203
Mark Teixeira17790.219Michael Morse18240.203
Josh Willingham20130.216Carlos Gomez19440.202
Mark Trumbo21990.215Yoenis Cespedes17590.201

The above lists should give you some solid targets throughout your draft. If you need to draft more power, then look for the guys with the higher ISO rates. If you’re looking for on-base percentage, use those guys with the strong BB/K. The players above should prove to be strong options to help build the foundation of your team. And to now bring it all full circle, let’s put together one more list. There were 42 players who made the cut in all four of the above metrics, and these 42 players should be who you look to first when building your offense right from the start.

NamePABABIPBB/KLD%ISO
Alex Gordon27540.3340.4721.71%0.170
Robinson Cano27240.3260.6524.12%0.203
Miguel Cabrera27220.3490.8123.11%0.254
Adrian Gonzalez27000.3310.5022.97%0.187
Dustin Pedroia26870.3150.8721.04%0.135
Andrew McCutchen26730.3440.6821.34%0.210
Billy Butler26230.3240.5921.26%0.151
Freddie Freeman25920.3400.5126.74%0.179
Adrian Beltre24830.3160.5920.87%0.215
Jose Reyes23760.3190.8221.72%0.136
Jacoby Ellsbury23260.3220.5122.49%0.161
Neil Walker23140.3010.5022.60%0.160
Shin-Soo Choo22850.3330.5721.80%0.154
Prince Fielder22720.3080.8822.47%0.211
Chase Headley22690.3300.5022.63%0.157
Melky Cabrera22000.3350.5121.19%0.149
Mike Trout21950.3610.5521.47%0.244
David Wright21950.3310.5721.89%0.165
Joey Votto21920.3580.9627.88%0.204
David Ortiz21900.3030.9020.75%0.259
Miguel Montero21610.3090.5221.23%0.146
Jayson Werth21540.3330.6020.43%0.170
Aramis Ramirez21380.3090.5121.20%0.195
Pablo Sandoval21300.3050.5520.49%0.165
Andre Ethier21020.3270.5124.05%0.147
Dexter Fowler20900.3550.5723.30%0.153
Yadier Molina20670.3190.6522.94%0.155
Jonathan Lucroy20490.3150.5822.64%0.163
Jason Kipnis20350.3080.5323.22%0.136
Buster Posey19950.3320.7322.53%0.176
Paul Goldschmidt19530.3460.5522.34%0.231
Mike Napoli19270.3300.5020.68%0.234
Seth Smith19050.3080.5521.31%0.175
Victor Martinez19040.3241.1022.58%0.166
Brett Gardner18700.3180.4821.76%0.139
Alex Avila18210.3300.4824.25%0.164
Matt Carpenter17850.3380.7425.04%0.140
Troy Tulowitzki16960.3210.7720.30%0.237
Bryce Harper14890.3190.4921.46%0.193
Anthony Rendon10770.3120.5122.24%0.166
Derek Norris9820.3020.5020.06%0.146
Mookie Betts2130.3270.6820.89%0.153

Now some of these players are definitely flawed. Concerns like Joey Votto’s diminishing power, Miguel Montero’s steady decline and Alex Avila’s concussion history should all be considered when deciding where to draft or how much to bid. But as always, this list is merely a guideline for you, not the gospel. This is more of a springboard. As the great Huggy Bear once said, “I lay it out for you to play it out.”