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The Wheelhouse: Wasted Opportunities

Derek VanRiper

Derek VanRiper

Derek is the Senior Baseball Editor for RotoWire.com, where he's been a two-time finalist for the FSWA's Baseball Writer of the Year award, and winner of the Best Football Article on the Web (2009) and Best Baseball Article on the Web (2010) awards. Derek also co-hosts RotoWire Fantasy Sports Today on SiriusXM Fantasy Sports Radio (XM 87, Sirius 210) from 11a-2p ET on Tuesdays and Wednesdays.

Without asking her out, Peter Gibbons never would have hooked up with Joanna in Office Space.

Let's face it, courtship usually requires a leap of faith beyond throwing a dart in the direction of the unusually hot waitress at a bad restaurant. At least give yourself a chance. You can probably count the times that girl has asked you out on the real fingers of Roy Munson's right hand.

It's all about creating opportunities. Without that, there won't be results.

That's the extent of my dating advice.

I have been thinking a lot about wasted opportunities lately, and the most relevant application for our purposes applies to hitters. Over the years, we have come to accept that some players are reliably of the Three True Outcomes variety (home runs, strikeouts and walks). We're looking at you, Adam Dunn.

Most of our energy is expended trying to figure out the inner workings of guys who put the ball in play more often. How many fantasy players and industry types were thinking about batting average on balls in play five years ago, or 10? Even now, our collective understanding of it seems to be misguided as BABIP is often cited as a normalized rate that should be nearly equal for all hitters. It doesn't work that way - for hitters, or pitchers, for a variety of reasons that have been detailed at various times on RotoWire and in other places over the years.

This piece is an argument that we are missing something from the Three True Outcomes. Since reading a piece from Mike Salfino last summer looking at the quality of contact that pitchers allow, I have been thinking more about the applications of batted ball data. As Chris Liss concluded (during an interview with Salfino on the XM show, I believe) an infield flyball is a strikeout, in terms of outcome.

Think about it. How many infield flyballs are hits league wide over the course of a year? How many infield flyballs generate an RBI? Of course by nature, it can't be a home run. In most leagues, we care about hits, runs, home runs, RBI and stolen bases. An infield flyball is essentially a zero across the board in your five hitting categories, just like a strikeout.

Despite this, we seem to be looking past the fact that some hitters are better at avoiding infield flyballs than others. I consider it to be a skill on the same level as making contact in general. A good hitter won't be fooled as often, and therefore, won't make a terrible mistake and pop up a ball in the infield. This is the obligatory Joey Votto for Prime Minister mention.

Just as you should not target or avoid players solely because of their ability to maintain a particular BABIP, this data is not intended to be the primary focus of analyzing a player's skill set. Instead, it's just another piece of the puzzle that may have been previously overlooked or forgotten about.

We certainly care about strikeouts - and tend to avoid or significantly reduce what we are willing to pay for someone who does it too much. My proposal is to modify the strikeouts element of Three True Outcomes to Wasted Plate Appearances (or in a more relevant light for rotisserie, Wasted At-Bats). Just add infield flyballs to strikeouts, and carry on.

A full table of data from the 2012 season is available here.

There are a couple of ways to slice the data.

First, let's take a look at guys who are putting an extremely high number of balls into play.

Name G PA HR R RBI SB BB% K/PA% ISO BIP AVG OBP SLG IFFB SO AB WAB WAB%
Juan Pierre 130 439 1 59 25 37 5.2% 6.2% .063 .327 .307 .351 .371 5 27 394 32 8.1%
Placido Polanco 90 328 2 28 19 0 5.5% 7.6% .069 .274 .257 .302 .327 4 25 303 29 9.6%
Ben Revere 124 553 0 70 32 40 5.2% 9.8% .049 .325 .294 .333 .342 1 54 511 55 10.8%
Jeff Keppinger 115 418 9 46 40 1 5.7% 7.4% .114 .332 .325 .367 .439 11 31 385 42 10.9%
Marco Scutaro 156 683 7 87 74 9 5.9% 7.2% .098 .319 .306 .348 .405 21 49 620 70 11.3%
Michael Brantley 149 609 6 63 60 12 8.7% 9.2% .114 .310 .288 .348 .402 8 56 552 64 11.6%
Salvador Perez 76 305 11 38 39 0 3.9% 8.9% .170 .299 .301 .328 .471 7 27 289 34 11.8%
Michael Young 156 651 8 79 67 2 5.1% 10.8% .093 .299 .277 .312 .370 4 70 611 74 12.1%
Jose Reyes 160 716 11 86 57 40 8.8% 7.8% .146 .298 .287 .347 .433 22 56 642 78 12.1%
Norichika Aoki 151 588 10 81 50 30 7.3% 9.4% .144 .304 .288 .355 .433 9 55 520 64 12.3%
Darwin Barney 156 588 7 73 44 6 5.6% 9.9% .100 .273 .254 .299 .354 10 58 548 68 12.4%
Ichiro Suzuki 162 663 9 77 55 29 3.3% 9.2% .107 .300 .283 .307 .390 19 61 629 80 12.7%
Ryan Hanigan 112 371 2 25 24 0 11.9% 10.0% .063 .302 .274 .365 .338 4 37 317 41 12.9%
Martin Prado 156 690 10 81 70 17 8.4% 10.0% .136 .322 .301 .359 .438 12 69 617 81 13.1%
Jose Altuve 147 630 7 80 37 33 6.3% 11.7% .109 .321 .290 .340 .399 2 74 576 76 13.2%
Yadier Molina 138 563 22 65 76 12 8.0% 9.8% .186 .316 .315 .373 .501 12 55 505 67 13.3%
James Loney 144 465 6 37 41 0 6.0% 11.0% .088 .269 .249 .293 .336 7 51 434 58 13.4%
Yunel Escobar 145 608 9 58 51 5 5.8% 11.5% .091 .273 .253 .300 .344 5 70 558 75 13.4%
Omar Infante 149 588 12 69 53 17 3.6% 11.1% .144 .291 .274 .300 .419 10 65 554 75 13.5%
Derek Jeter 159 740 15 99 58 9 6.1% 12.2% .113 .347 .316 .362 .429 3 90 683 93 13.6%
Denard Span 128 568 4 71 41 17 8.3% 10.9% .112 .315 .283 .342 .395 11 62 516 73 14.1%
Dustin Pedroia 141 623 15 81 65 20 7.7% 9.6% .160 .300 .290 .347 .449 21 60 563 81 14.4%
Casey Kotchman 142 500 12 46 55 3 5.2% 9.8% .104 .233 .229 .280 .333 18 49 463 67 14.5%
Nick Markakis 104 471 13 59 54 1 8.9% 10.8% .174 .310 .298 .363 .471 10 51 420 61 14.5%
Ryan Theriot 104 384 0 45 28 13 6.3% 12.2% .051 .308 .270 .316 .321 5 47 352 52 14.8%
Troy Tulowitzki 47 203 8 33 27 2 9.4% 9.4% .199 .284 .287 .360 .486 8 19 181 27 14.9%

Not surprisingly, this group is full of players who have typically been a steady source of batting average throughout their respective careers, while there is also a decent number of speedsters throughout the group with Ben Revere, Jose Reyes, Juan Pierre, Norichika Aoki and Jose Altuve all stealing 30 or more bases a season ago. Subsequently many players in this group have been used as tablesetters for their respective teams at some point, providing plenty of added value in runs scored as well.

Perhaps the most intriguing from the high volume balls in play group are the guys who show power. Check out the relative ISO (isolate power, slugging - batting average) standouts with Troy Tulowitzki (.199), Yadier Molina (.186), Nick Markakis (.174), Salvador Perez (.170) and Dustin Pedroia (.160). To a lesser extent, Reyes (.146), Aoki (.144), Omar Infante (.144) and Martin Prado (.136) are noteworthy here as well, especially with Reyes and Prado heading to more hitter-friendly home parks this season. Not surprisingly, most of those players carry a premium as five-category rotisserie darlings, but a few are somewhat overlooked or at least presently undervalued.

At the other end of the spectrum, we have the group wasting a significant portion of their at-bats:

Name G PA HR R RBI SB BB% K/PA% ISO BIP AVG OBP SLG IFFB SO AB WAB WAB%
Brett Jackson 44 142 4 14 9 0 15.5% 41.5% .167 .298 .175 .303 .342 2 59 120 61 50.8%
Tyler Flowers 52 153 7 19 13 2 7.8% 36.6% .199 .301 .213 .296 .412 6 56 136 62 45.6%
Adam Dunn 151 649 41 87 96 2 16.2% 34.2% .263 .246 .204 .333 .468 12 222 539 234 43.4%
Jonny Gomes 99 333 18 46 47 3 13.2% 31.2% .229 .348 .262 .377 .491 13 104 279 117 41.9%
Carlos Pena 160 600 19 72 61 2 14.5% 30.3% .157 .264 .197 .330 .354 22 182 497 204 41.0%
Chris Carter 67 260 16 38 39 0 15.0% 31.9% .275 .295 .239 .350 .514 6 83 218 89 40.8%
Justin Maxwell 124 352 18 46 53 9 9.1% 32.4% .232 .292 .229 .304 .460 7 114 315 121 38.4%
Ryan Howard 71 292 14 28 56 0 8.6% 33.9% .204 .287 .219 .295 .423 0 99 260 99 38.1%
Derek Norris 60 232 7 19 34 5 9.1% 28.4% .148 .255 .201 .276 .349 13 66 209 79 37.8%
Mike Napoli 108 417 24 53 56 1 13.4% 30.0% .241 .273 .227 .343 .469 7 125 352 132 37.5%
Juan Francisco 93 205 9 17 32 1 5.4% 34.1% .198 .316 .234 .278 .432 2 70 192 72 37.5%
Dan Uggla 154 630 19 86 78 4 14.9% 26.7% .164 .283 .220 .348 .384 28 168 523 196 37.5%
Mark Reynolds 135 538 23 65 69 1 13.6% 29.6% .208 .282 .221 .335 .429 12 159 457 171 37.4%
Brandon Moss 84 296 21 48 52 1 8.8% 30.4% .306 .359 .291 .358 .596 7 90 265 97 36.6%
J. Saltalamacchia 121 448 25 55 59 0 8.5% 31.0% .232 .265 .222 .288 .454 8 139 405 147 36.3%
Anthony Gose 56 189 1 25 11 15 9.0% 31.2% .096 .340 .223 .303 .319 1 59 166 60 36.1%
Kirk Nieuwenhuis 91 314 7 40 28 4 8.0% 31.2% .124 .358 .252 .315 .376 3 98 282 101 35.8%
J.P. Arencibia 102 372 18 45 56 1 4.8% 29.0% .202 .281 .233 .275 .435 16 108 347 124 35.7%
Drew Stubbs 136 544 14 75 40 30 7.7% 30.5% .120 .290 .213 .277 .333 8 166 493 174 35.3%
Curtis Granderson 160 684 43 102 106 10 11.0% 28.5% .260 .260 .232 .319 .492 15 195 596 210 35.2%
Pedro Alvarez 149 586 30 64 85 1 9.7% 30.7% .223 .308 .244 .317 .467 3 180 525 183 34.9%
Danny Espinosa 160 658 17 82 56 20 7.0% 28.7% .155 .333 .247 .315 .402 17 189 594 206 34.7%
Giancarlo Stanton 123 501 37 75 86 6 9.2% 28.5% .318 .344 .290 .361 .608 12 143 449 155 34.5%
Casper Wells 93 316 10 42 36 3 8.2% 25.3% .168 .282 .228 .302 .396 18 80 285 98 34.4%
Brett Wallace 66 254 9 24 24 0 7.1% 28.7% .170 .331 .253 .323 .424 5 73 229 78 34.1%
Chris Davis 139 562 33 75 85 2 6.6% 30.1% .231 .335 .270 .326 .501 4 169 515 173 33.6%
Kelly Johnson 142 581 16 61 55 14 10.7% 27.4% .140 .292 .225 .313 .365 11 159 507 170 33.5%
Tyler Greene 116 330 11 34 30 12 5.8% 28.8% .170 .292 .230 .274 .400 7 95 305 102 33.4%
Michael McKenry 88 275 12 25 39 0 10.5% 26.5% .208 .278 .233 .320 .442 7 73 240 80 33.3%

This group offers much more power across the board, as it encompasses the Three True Outcomes types described earlier. Of course, we already knew that Adam Dunn gives away a lot of potential RBI chances with his strikeouts, so the more important step is to look at the free-swingers who also hit a high number of infield flyballs. Thus, the next group represents the hitters with the greatest increase in wasted at-bat percentage with the inclusion of IFFB.

Name G PA HR R RBI SB BB% K/PA% ISO BIP AVG OBP SLG IFFB SO AB WAB WAB% K/AB% Delta
Brendan Ryan 141 470 3 42 31 11 9.4% 20.9% .084 .244 .194 .277 .278 32 98 407 130 31.9% 24.1% 7.9%
Clint Barmes 144 493 8 34 45 0 4.1% 21.5% .092 .280 .229 .272 .321 32 106 455 138 30.3% 23.3% 7.0%
Mike Moustakas 149 614 20 69 73 5 6.4% 20.2% .171 .274 .242 .296 .412 39 124 563 163 29.0% 22.0% 6.9%
Jimmy Rollins 156 699 23 102 68 30 8.9% 13.7% .177 .262 .250 .316 .427 42 96 632 138 21.8% 15.2% 6.6%
Casper Wells 93 316 10 42 36 3 8.2% 25.3% .168 .282 .228 .302 .396 18 80 285 98 34.4% 28.1% 6.3%
Rod Barajas 104 361 11 29 31 0 8.0% 19.1% .137 .224 .206 .283 .343 20 69 321 89 27.7% 21.5% 6.2%
Jose Bautista 92 399 27 64 65 5 14.8% 15.8% .286 .215 .241 .358 .527 20 63 332 83 25.0% 19.0% 6.0%
Scott Hairston 134 398 20 52 57 8 4.8% 20.9% .241 .287 .263 .299 .504 22 83 377 105 27.9% 22.0% 5.8%
Josh Reddick 156 673 32 85 85 11 8.2% 22.4% .221 .269 .242 .305 .463 33 151 611 184 30.1% 24.7% 5.4%
Dan Uggla 154 630 19 86 78 4 14.9% 26.7% .164 .283 .220 .348 .384 28 168 523 196 37.5% 32.1% 5.4%
Gaby Sanchez 105 326 7 30 30 1 7.7% 17.2% .124 .245 .217 .279 .341 16 56 299 72 24.1% 18.7% 5.4%
Trevor Plouffe 119 465 24 56 55 1 8.0% 19.8% .220 .244 .235 .301 .455 22 92 422 114 27.0% 21.8% 5.2%
Ian Kinsler 157 731 19 105 72 21 8.2% 12.3% .166 .270 .256 .326 .423 34 90 655 124 18.9% 13.7% 5.2%
Desmond Jennings 132 563 13 85 47 31 8.2% 21.3% .143 .298 .246 .314 .388 26 120 505 146 28.9% 23.8% 5.1%
Juan Rivera 109 339 9 30 47 1 5.3% 10.3% .131 .245 .244 .286 .375 16 35 312 51 16.3% 11.2% 5.1%
Sean Rodriguez 112 342 6 36 32 5 7.9% 21.9% .113 .260 .213 .281 .326 15 75 301 90 29.9% 24.9% 5.0%
Edwin Encarnacion 151 644 42 93 110 13 13.0% 14.6% .277 .266 .280 .384 .557 27 94 542 121 22.3% 17.3% 5.0%
Gordon Beckham 151 582 16 62 60 5 6.9% 15.3% .137 .254 .234 .296 .371 26 89 525 115 21.9% 17.0% 5.0%
Chris Heisey 120 375 7 44 31 6 4.8% 21.6% .135 .328 .265 .315 .401 17 81 347 98 28.2% 23.3% 4.9%
Mike Aviles 136 546 13 57 60 14 4.2% 14.1% .131 .269 .250 .282 .381 25 77 512 102 19.9% 15.0% 4.9%
Pablo Sandoval 108 442 12 59 63 1 8.6% 13.3% .164 .301 .283 .342 .447 19 59 396 78 19.7% 14.9% 4.8%
Justin Smoak 132 535 19 49 51 1 9.2% 20.7% .147 .242 .217 .290 .364 23 111 483 134 27.7% 23.0% 4.8%
Yoenis Cespedes 129 540 23 70 82 16 8.0% 18.9% .214 .326 .292 .356 .505 23 102 487 125 25.7% 20.9% 4.7%
Jonny Gomes 99 333 18 46 47 3 13.2% 31.2% .229 .348 .262 .377 .491 13 104 279 117 41.9% 37.3% 4.7%
Chris Young 101 363 14 36 41 8 9.9% 21.8% .203 .263 .231 .311 .434 15 79 325 94 28.9% 24.3% 4.6%
J.P. Arencibia 102 372 18 45 56 1 4.8% 29.0% .202 .281 .233 .275 .435 16 108 347 124 35.7% 31.1% 4.6%
Shane Victorino 154 666 11 72 55 39 8.0% 12.0% .128 .278 .255 .321 .383 27 80 595 107 18.0% 13.4% 4.5%
Nate McLouth 89 298 7 39 20 12 9.1% 20.5% .139 .286 .241 .314 .380 12 61 266 73 27.4% 22.9% 4.5%
Maicer Izturis 100 319 2 35 20 17 7.8% 11.9% .059 .289 .256 .320 .315 13 38 289 51 17.6% 13.1% 4.5%
Luke Scott 96 344 14 35 55 5 6.1% 23.3% .210 .259 .229 .285 .439 14 80 314 94 29.9% 25.5% 4.5%
Erick Aybar 141 554 8 67 45 20 4.0% 11.0% .126 .316 .290 .324 .416 23 61 517 84 16.2% 11.8% 4.4%
Miguel Olivo 87 323 12 27 29 3 2.2% 26.3% .159 .266 .222 .239 .381 14 85 315 99 31.4% 27.0% 4.4%
Carlos Pena 160 600 19 72 61 2 14.5% 30.3% .157 .264 .197 .330 .354 22 182 497 204 41.0% 36.6% 4.4%
Colby Rasmus 151 625 23 75 75 4 7.5% 23.8% .177 .259 .223 .289 .400 25 149 565 174 30.8% 26.4% 4.4%
Jed Lowrie 97 387 16 43 42 2 11.1% 16.8% .194 .257 .244 .331 .438 15 65 340 80 23.5% 19.1% 4.4%
Eric Chavez 113 313 16 36 37 0 9.6% 18.8% .216 .300 .281 .348 .496 12 59 278 71 25.5% 21.2% 4.3%
Albert Pujols 154 670 30 85 105 8 7.8% 11.3% .231 .282 .285 .343 .516 26 76 607 102 16.8% 12.5% 4.3%
Zack Cozart 138 600 15 72 35 4 5.2% 18.8% .153 .282 .246 .288 .399 24 113 561 137 24.4% 20.1% 4.3%
Luis Cruz 78 296 6 26 40 2 3.0% 11.5% .134 .320 .297 .322 .431 12 34 283 46 16.3% 12.0% 4.2%
Carlos Quentin 86 340 16 44 46 0 10.6% 12.1% .243 .252 .261 .374 .504 12 41 284 53 18.7% 14.4% 4.2%
Kurt Suzuki 118 442 6 36 43 2 4.5% 16.5% .093 .269 .235 .276 .328 17 73 408 90 22.1% 17.9% 4.2%
Ty Wigginton 125 360 11 40 43 1 10.3% 22.5% .140 .275 .235 .314 .375 13 81 315 94 29.8% 25.7% 4.1%
Brian Dozier 84 340 6 33 33 9 4.7% 17.1% .098 .267 .234 .271 .332 13 58 316 71 22.5% 18.4% 4.1%
Carlos Gomez 137 452 19 72 51 37 4.4% 21.7% .202 .296 .260 .305 .463 17 98 415 115 27.7% 23.6% 4.1%
J.J. Hardy 158 713 22 85 68 0 5.3% 14.9% .151 .253 .238 .282 .389 27 106 663 133 20.1% 16.0% 4.1%
Josh Willingham 145 615 35 85 110 3 12.4% 22.9% .264 .287 .260 .366 .524 21 141 519 162 31.2% 27.2% 4.0%
Carlos Beltran 151 619 32 83 97 13 10.5% 20.0% .227 .291 .269 .346 .495 22 124 547 146 26.7% 22.7% 4.0%
Dayan Viciedo 147 543 25 64 78 0 5.2% 22.1% .188 .286 .255 .300 .444 20 120 505 140 27.7% 23.8% 4.0%

At the other end of the spectrum, we can look at players who are the least affected by the inclusion of infield flyball rate. My position would be that their contact is typically very good, at least, when they put the bat on the ball. That is to say, they are very rarely cheated.

Name G PA HR R RBI SB BB% K/PA% ISO BIP AVG OBP SLG IFFB SO AB WAB WAB% K/AB% Delta
Ryan Howard 71 292 14 28 56 0 8.6% 33.9% .204 .287 .219 .295 .423 0 99 260 99 38.1% 38.1% 0.0%
Joe Mauer 147 641 10 81 85 8 14.0% 13.7% .127 .364 .319 .416 .446 1 88 545 89 16.3% 16.1% 0.2%
Ben Revere 124 553 0 70 32 40 5.2% 9.8% .049 .325 .294 .333 .342 1 54 511 55 10.8% 10.6% 0.2%
Chris Johnson 136 528 15 48 76 5 5.9% 25.0% .170 .354 .281 .326 .451 1 132 488 133 27.3% 27.0% 0.2%
Jon Jay 117 502 4 70 40 19 6.8% 14.1% .095 .355 .305 .373 .400 1 71 443 72 16.3% 16.0% 0.2%
Joey Votto 111 475 14 59 56 5 19.8% 17.9% .230 .404 .337 .474 .567 1 85 374 86 23.0% 22.7% 0.3%
Michael Bourn 155 703 9 96 57 42 10.0% 22.0% .117 .349 .274 .348 .391 2 155 624 157 25.2% 24.8% 0.3%
Quintin Berry 94 330 2 44 29 21 7.6% 24.2% .096 .348 .258 .330 .354 1 80 291 81 27.8% 27.5% 0.3%
Jose Altuve 147 630 7 80 37 33 6.3% 11.7% .109 .321 .290 .340 .399 2 74 576 76 13.2% 12.8% 0.3%
Howie Kendrick 147 594 8 57 67 14 4.9% 19.4% .113 .347 .287 .325 .400 2 115 550 117 21.3% 20.9% 0.4%
Skip Schumaker 107 304 1 37 28 1 8.9% 16.4% .092 .332 .276 .339 .368 1 50 272 51 18.8% 18.4% 0.4%
Austin Jackson 137 617 16 103 66 12 10.9% 21.7% .179 .371 .300 .377 .479 2 134 543 136 25.0% 24.7% 0.4%
Derek Jeter 159 740 15 99 58 9 6.1% 12.2% .113 .347 .316 .362 .429 3 90 683 93 13.6% 13.2% 0.4%
Shin-Soo Choo 155 686 16 88 67 21 10.6% 21.9% .159 .353 .283 .373 .441 3 150 598 153 25.6% 25.1% 0.5%
Alex Avila 116 434 9 42 48 2 14.1% 24.0% .142 .313 .243 .352 .384 2 104 367 106 28.9% 28.3% 0.5%
Pedro Alvarez 149 586 30 64 85 1 9.7% 30.7% .223 .308 .244 .317 .467 3 180 525 183 34.9% 34.3% 0.6%
Michael Young 156 651 8 79 67 2 5.1% 10.8% .093 .299 .277 .312 .370 4 70 611 74 12.1% 11.5% 0.7%
Daniel Murphy 156 612 6 62 65 10 5.9% 13.4% .112 .329 .291 .332 .403 4 82 571 86 15.1% 14.4% 0.7%
Yonder Alonso 155 619 9 47 62 3 10.0% 16.3% .120 .318 .273 .348 .393 4 101 549 105 19.1% 18.4% 0.7%
Matt Kemp 106 449 23 74 69 9 8.9% 22.9% .236 .354 .303 .367 .538 3 103 403 106 26.3% 25.6% 0.7%
Everth Cabrera 115 449 2 49 24 44 9.6% 24.5% .078 .336 .246 .324 .324 3 110 398 113 28.4% 27.6% 0.8%
Chris Davis 139 562 33 75 85 2 6.6% 30.1% .231 .335 .270 .326 .501 4 169 515 173 33.6% 32.8% 0.8%
Jason Castro 87 295 6 29 29 0 10.5% 20.7% .144 .309 .257 .334 .401 2 61 257 63 24.5% 23.7% 0.8%
Billy Butler 161 679 29 72 107 2 8.0% 16.3% .197 .341 .313 .373 .510 5 111 614 116 18.9% 18.1% 0.8%
Chris Nelson 111 377 9 45 53 2 7.2% 22.3% .157 .374 .301 .352 .458 3 84 345 87 25.2% 24.3% 0.9%
Yunel Escobar 145 608 9 58 51 5 5.8% 11.5% .091 .273 .253 .300 .344 5 70 558 75 13.4% 12.5% 0.9%
Josh Thole 104 354 1 24 21 0 7.6% 14.1% .056 .273 .234 .294 .290 3 50 321 53 16.5% 15.6% 0.9%
Torii Hunter 140 584 16 81 92 9 6.5% 22.8% .139 .389 .313 .365 .451 5 133 534 138 25.8% 24.9% 0.9%
Buster Posey 148 610 24 78 103 1 11.3% 15.7% .213 .368 .336 .408 .549 5 96 530 101 19.1% 18.1% 0.9%
Elvis Andrus 158 711 3 85 62 21 8.0% 13.5% .092 .332 .286 .349 .378 6 96 629 102 16.2% 15.3% 1.0%
Matt Carpenter 114 340 6 44 46 1 10.0% 18.5% .169 .346 .294 .365 .463 3 63 296 66 22.3% 21.3% 1.0%
Jarrod Dyson 102 330 0 52 9 30 9.1% 17.0% .062 .318 .260 .328 .322 3 56 292 59 20.2% 19.2% 1.0%
Kirk Nieuwenhuis 91 314 7 40 28 4 8.0% 31.2% .124 .358 .252 .315 .376 3 98 282 101 35.8% 34.8% 1.1%
Mike Trout 139 639 30 129 83 49 10.5% 21.8% .238 .383 .326 .399 .564 6 139 559 145 25.9% 24.9% 1.1%
Reed Johnson 119 288 3 30 20 2 4.5% 21.2% .108 .366 .290 .337 .398 3 61 269 64 23.8% 22.7% 1.1%
Chris Denorfia 130 382 8 56 36 13 7.1% 13.6% .158 .323 .293 .345 .451 4 52 348 56 16.1% 14.9% 1.1%
Tony Gwynn 103 277 0 29 17 13 5.8% 18.8% .062 .290 .232 .276 .293 3 52 259 55 21.2% 20.1% 1.2%
Wilson Betemit 102 376 12 41 40 0 8.2% 27.4% .161 .336 .261 .322 .422 4 103 341 107 31.4% 30.2% 1.2%
Bryan LaHair 130 380 16 42 40 4 10.3% 32.6% .191 .358 .259 .334 .450 4 124 340 128 37.6% 36.5% 1.2%
A.J. Ellis 133 505 13 44 52 0 12.9% 21.2% .144 .329 .270 .373 .414 5 107 423 112 26.5% 25.3% 1.2%
David Freese 144 567 20 70 79 3 10.1% 21.5% .174 .352 .293 .372 .467 6 122 501 128 25.5% 24.4% 1.2%
Brandon Belt 145 472 7 47 56 12 11.4% 22.5% .146 .351 .275 .360 .421 5 106 411 111 27.0% 25.8% 1.2%
Josh Hamilton 148 636 43 103 128 7 9.4% 25.5% .292 .320 .285 .354 .577 7 162 562 169 30.1% 28.8% 1.2%
Ryan Hanigan 112 371 2 25 24 0 11.9% 10.0% .063 .302 .274 .365 .338 4 37 317 41 12.9% 11.7% 1.3%
Juan Pierre 130 439 1 59 25 37 5.2% 6.2% .063 .327 .307 .351 .371 5 27 394 32 8.1% 6.9% 1.3%
Gerardo Parra 133 430 7 58 36 15 7.7% 17.9% .119 .323 .273 .335 .392 5 77 385 82 21.3% 20.0% 1.3%
Seth Smith 125 441 14 55 52 2 11.3% 22.2% .180 .285 .240 .333 .420 5 98 383 103 26.9% 25.6% 1.3%
Placido Polanco 90 328 2 28 19 0 5.5% 7.6% .069 .274 .257 .302 .327 4 25 303 29 9.6% 8.3% 1.3%
Dexter Fowler 143 530 13 72 53 12 12.8% 24.2% .174 .390 .300 .389 .474 6 128 454 134 29.5% 28.2% 1.3%
Chase Utley 83 362 11 48 45 11 11.9% 11.9% .173 .261 .256 .365 .429 4 43 301 47 15.6% 14.3% 1.3%
Jason Kipnis 152 672 14 86 76 31 10.0% 16.2% .122 .291 .257 .335 .379 8 109 591 117 19.8% 18.4% 1.4%
Jesus Montero 135 553 15 46 62 0 5.2% 17.9% .126 .292 .260 .298 .386 7 99 515 106 20.6% 19.2% 1.4%
David Wright 156 670 21 91 93 15 12.1% 16.7% .186 .347 .306 .391 .492 8 112 581 120 20.7% 19.3% 1.4%
Jason Kubel 141 571 30 75 90 1 10.0% 26.4% .253 .296 .253 .327 .506 7 151 506 158 31.2% 29.8% 1.4%
Nyjer Morgan 122 322 3 44 16 12 6.2% 19.6% .069 .296 .239 .302 .308 4 63 289 67 23.2% 21.8% 1.4%
Justin Ruggiano 91 320 13 38 36 14 9.1% 26.3% .222 .401 .313 .374 .535 4 84 288 88 30.6% 29.2% 1.4%
Jack Hannahan 105 318 4 23 29 0 8.5% 19.8% .098 .299 .244 .312 .341 4 63 287 67 23.3% 22.0% 1.4%
Ryan Theriot 104 384 0 45 28 13 6.3% 12.2% .051 .308 .270 .316 .321 5 47 352 52 14.8% 13.4% 1.4%
Corey Hart 149 622 30 91 83 5 7.1% 24.3% .237 .318 .270 .334 .507 8 151 562 159 28.3% 26.9% 1.4%
Miguel Cabrera 161 697 44 109 139 4 9.5% 14.1% .277 .331 .330 .393 .606 9 98 622 107 17.2% 15.8% 1.4%
Michael Brantley 149 609 6 63 60 12 8.7% 9.2% .114 .310 .288 .348 .402 8 56 552 64 11.6% 10.1% 1.4%
Evan Longoria 74 312 17 39 55 2 10.6% 19.6% .238 .313 .289 .369 .527 4 61 273 65 23.8% 22.3% 1.5%
Eric Thames 86 290 9 27 25 1 5.2% 30.0% .166 .305 .232 .273 .399 4 87 271 91 33.6% 32.1% 1.5%
Daniel Nava 88 317 6 38 33 3 11.7% 19.9% .146 .295 .243 .352 .390 4 63 267 67 25.1% 23.6% 1.5%
Jose Tabata 103 374 3 43 16 8 7.8% 15.5% .105 .287 .243 .315 .348 5 58 333 63 18.9% 17.4% 1.5%
Alejandro De Aza 131 585 9 81 50 26 8.0% 18.6% .130 .339 .281 .349 .410 8 109 524 117 22.3% 20.8% 1.5%

Count me among those who never realized that Ryan Howard is elite in terms of avoiding infield flyballs. He's hit 19 in his entire big league career. By comparison, Jose Bautista had 20 last season alone, and that was in 92 games. Revere doesn't strike out or hit infield flyballs - pretty much ideal for a speedster that you're leaning on to put the ball in play and pressure opposing teams with his legs. It's little wonder that the Phillies acquired him from the Twins rather than pay Michael Bourn $52 million as a free agent, especially when you factor in the age difference and Bourn's significantly higher strikeout rate.

Draft day is all about exploiting market inefficiencies that are unique to your league, and there are a lot of ways you can interpret and manipulate the above data.

On the surface, the most useful way to apply this information is to supplement what we already know about these players.

The power hitters from the very first group above -- particularly the aforementioned undervalued middle round options -- should become more of a priority to target.

Conversely, the high infield flyball rate, high strikeout rate types that may have otherwise been rebound candidates such as Dan Uggla, might become players to simply pass on entirely.

Follow me on Twitter @DerekVanRiper.