Ranking the Positions 2006
No, this isn't a repeat of last week's Ranking the Lineup Positions. Instead, it's the natural follow-up to that piece: ranking the fielding positions (along with designated hitter and pinch hitter).
Again, this is a simple concept, but useful to see as a major-league whole. I've taken the 2006 hitting stats for every team's fielding position, as well as designated hitter and pinch hitter, and ranked them based on OPS (ties are ranked by OBP then SLG).
The winner in these rankings? As you can see below, it's first base for the Phillies.

With almost 690 of the 710 plate appearances for Phillies first basemen going to Ryan Howard, the position just beat out the Cardinals first basemen, who were watered down by about 80 of the 710 plate appearances for first basemen going to a mix of players not named Albert Pujols (although Jose Vizcaino did have a 3.000 OPS for his 1 plate appearance as a Cardinal first baseman).
How about the rest of the Phils (in bold in the chart below)? They have 7 spots in the top 112 (one is the 36 at-bats the designated hitters got), including the Pat Burrell-dominated left field position (which was 29th overall and 6th for all left fielders - he needs to be moved . . . why?). As most observers could have guessed, the atrocious combination of David Bell and Abraham Nunez at third base (249th), the weak hitting bench (292nd), and the pitchers (321st) were the huge weaknesses for the team.
With right field (no Bobby Abreu) and catching (the shocking Chris Coste performance likely replaced by lots of plate appearances for sub-.290 OBP Rod Barajas) likely to fall in the rankings, the Phils better hope Wes Helms improves third base, the crud Gillick has assembled for the bench miraculously produces, and the coaching staff teaches the pitchers (two of whom have lived most of their MLB lives in the AL) how to hit, even just a bit. My suggestion: don't hold your breath.
Here's the beginning of the list, numbers 1 through 100. 101-200, 201-300, and 301-330 are listed in separate stories.
| Rank | Team | Pos | AB | BA | OBP | SLG | OPS | |
| 1 | Philadelphia | 1B | 599 | 0.309 | 0.420 | 0.643 | 1.063 | |
| 2 | St. Louis | 1B | 616 | 0.325 | 0.416 | 0.641 | 1.057 | |
| 3 | Cleveland | DH | 561 | 0.298 | 0.412 | 0.604 | 1.016 | |
| 4 | Cincinnati | DH | 21 | 0.286 | 0.385 | 0.619 | 1.004 | |
| 5 | Boston | DH | 571 | 0.278 | 0.406 | 0.597 | 1.003 | |
| 6 | Florida | 3B | 607 | 0.338 | 0.428 | 0.563 | 0.992 | |
| 7 | Boston | LF | 582 | 0.302 | 0.423 | 0.553 | 0.977 | |
| 8 | Chicago Sox | DH | 544 | 0.281 | 0.408 | 0.566 | 0.975 | |
| 9 | Colorado | LF | 650 | 0.323 | 0.380 | 0.591 | 0.971 | |
| 10 | Minnesota | 1B | 609 | 0.328 | 0.384 | 0.586 | 0.970 | |
| 11 | Houston | 1B | 632 | 0.318 | 0.396 | 0.573 | 0.969 | |
| 12 | Chicago Sox | RF | 622 | 0.310 | 0.376 | 0.582 | 0.958 | |
| 13 | Chicago Sox | 1B | 629 | 0.326 | 0.387 | 0.556 | 0.943 | |
| 14 | Colorado | 3B | 630 | 0.319 | 0.398 | 0.541 | 0.939 | |
| 15 | LA Dodgers | 1B | 649 | 0.319 | 0.387 | 0.550 | 0.937 | |
| 16 | St. Louis | 3B | 610 | 0.305 | 0.379 | 0.554 | 0.933 | |
| 17 | Washington | 1B | 580 | 0.290 | 0.415 | 0.505 | 0.920 | |
| 18 | Cleveland | CF | 665 | 0.295 | 0.378 | 0.541 | 0.920 | |
| 19 | San Francisco | LF | 556 | 0.268 | 0.414 | 0.504 | 0.918 | |
| 20 | Toronto | CF | 661 | 0.312 | 0.364 | 0.551 | 0.915 | |
| 21 | Pittsburgh | LF | 592 | 0.280 | 0.389 | 0.522 | 0.911 | |
| 22 | Cleveland | 1B | 620 | 0.319 | 0.376 | 0.534 | 0.910 | |
| 23 | NY Yankees | 3B | 615 | 0.293 | 0.389 | 0.520 | 0.909 | |
| 24 | NY Mets | CF | 611 | 0.267 | 0.370 | 0.538 | 0.909 | |
| 25 | Philadelphia | DH | 36 | 0.278 | 0.350 | 0.556 | 0.906 | |
| 26 | Toronto | 1B | 622 | 0.320 | 0.380 | 0.524 | 0.905 | |
| 27 | LA Dodgers | LF | 600 | 0.317 | 0.387 | 0.517 | 0.903 | |
| 28 | Colorado | RF | 612 | 0.297 | 0.375 | 0.525 | 0.900 | |
| 29 | Philadelphia | LF | 608 | 0.265 | 0.379 | 0.516 | 0.896 | |
| 30 | Atlanta | 3B | 633 | 0.300 | 0.378 | 0.517 | 0.895 | |
| 31 | NY Yankees | SS | 657 | 0.341 | 0.412 | 0.481 | 0.893 | |
| 32 | Detroit | SS | 592 | 0.318 | 0.393 | 0.500 | 0.893 | |
| 33 | NY Mets | 3B | 612 | 0.306 | 0.377 | 0.516 | 0.893 | |
| 34 | Washington | LF | 672 | 0.272 | 0.346 | 0.546 | 0.892 | |
| 35 | Philadelphia | 2B | 682 | 0.305 | 0.372 | 0.516 | 0.888 | |
| 36 | Atlanta | C | 592 | 0.307 | 0.362 | 0.525 | 0.888 | |
| 37 | NY Mets | 1B | 613 | 0.272 | 0.359 | 0.529 | 0.887 | |
| 38 | LA Angels | RF | 644 | 0.309 | 0.363 | 0.522 | 0.885 | |
| 39 | Chicago Cubs | 3B | 627 | 0.282 | 0.340 | 0.544 | 0.884 | |
| 40 | Atlanta | CF | 598 | 0.259 | 0.363 | 0.518 | 0.882 | |
| 41 | Oakland | DH | 546 | 0.262 | 0.368 | 0.513 | 0.881 | |
| 42 | Colorado | 1B | 615 | 0.298 | 0.398 | 0.478 | 0.876 | |
| 43 | Toronto | RF | 644 | 0.297 | 0.354 | 0.522 | 0.876 | |
| 44 | Seattle | LF | 639 | 0.290 | 0.354 | 0.516 | 0.871 | |
| 45 | Cincinnati | 1B | 610 | 0.297 | 0.390 | 0.480 | 0.870 | |
| 46 | San Diego | C | 647 | 0.300 | 0.362 | 0.509 | 0.870 | |
| 47 | Texas | 1B | 632 | 0.275 | 0.364 | 0.505 | 0.869 | |
| 48 | Minnesota | C | 629 | 0.334 | 0.401 | 0.466 | 0.867 | |
| 49 | Baltimore | SS | 651 | 0.330 | 0.382 | 0.484 | 0.866 | |
| 50 | Houston | RF | 590 | 0.264 | 0.371 | 0.495 | 0.866 | |
| 51 | Florida | 1B | 625 | 0.288 | 0.351 | 0.512 | 0.863 | |
| 52 | Kansas City | 3B | 606 | 0.300 | 0.366 | 0.493 | 0.859 | |
| 53 | Milwaukee | 1B | 606 | 0.289 | 0.364 | 0.495 | 0.859 | |
| 54 | Atlanta | 1B | 602 | 0.271 | 0.335 | 0.522 | 0.856 | |
| 55 | San Diego | 1B | 622 | 0.299 | 0.358 | 0.494 | 0.852 | |
| 56 | Baltimore | RF | 612 | 0.304 | 0.354 | 0.497 | 0.851 | |
| 57 | Toronto | LF | 635 | 0.309 | 0.395 | 0.455 | 0.850 | |
| 58 | LA Dodgers | RF | 607 | 0.275 | 0.377 | 0.471 | 0.849 | |
| 59 | LA Angels | DH | 573 | 0.295 | 0.356 | 0.492 | 0.849 | |
| 60 | Oakland | LF | 617 | 0.277 | 0.355 | 0.494 | 0.849 | |
| 61 | Seattle | 1B | 612 | 0.265 | 0.340 | 0.507 | 0.847 | |
| 62 | San Francisco | 2B | 611 | 0.278 | 0.349 | 0.494 | 0.844 | |
| 63 | Milwaukee | LF | 623 | 0.281 | 0.337 | 0.507 | 0.844 | |
| 64 | Cincinnati | LF | 594 | 0.241 | 0.363 | 0.480 | 0.843 | |
| 65 | NY Yankees | DH | 565 | 0.265 | 0.369 | 0.473 | 0.842 | |
| 66 | Cincinnati | 3B | 629 | 0.291 | 0.358 | 0.482 | 0.840 | |
| 67 | NY Mets | SS | 704 | 0.297 | 0.351 | 0.486 | 0.837 | |
| 68 | Chicago Cubs | RF | 628 | 0.288 | 0.337 | 0.498 | 0.835 | |
| 69 | Pittsburgh | 3B | 641 | 0.315 | 0.362 | 0.470 | 0.832 | |
| 70 | San Francisco | RF | 649 | 0.287 | 0.346 | 0.482 | 0.828 | |
| 71 | Arizona | DH | 29 | 0.276 | 0.343 | 0.483 | 0.826 | |
| 72 | Milwaukee | 3B | 611 | 0.282 | 0.349 | 0.475 | 0.823 | |
| 73 | Boston | 3B | 637 | 0.284 | 0.341 | 0.482 | 0.823 | |
| 74 | Toronto | 3B | 602 | 0.251 | 0.349 | 0.472 | 0.820 | |
| 75 | Tampa Bay | LF | 647 | 0.295 | 0.344 | 0.473 | 0.817 | |
| 76 | Philadelphia | RF | 598 | 0.273 | 0.391 | 0.425 | 0.816 | |
| 77 | Texas | 2B | 586 | 0.292 | 0.357 | 0.459 | 0.816 | |
| 78 | NY Yankees | RF | 627 | 0.289 | 0.357 | 0.456 | 0.814 | |
| 79 | Chicago Cubs | C | 603 | 0.287 | 0.341 | 0.473 | 0.814 | |
| 80 | Milwaukee | SS | 618 | 0.254 | 0.331 | 0.482 | 0.814 | |
| 81 | NY Yankees | 2B | 632 | 0.315 | 0.343 | 0.470 | 0.813 | |
| 82 | Cincinnati | PH | 241 | 0.270 | 0.336 | 0.477 | 0.813 | |
| 83 | NY Yankees | C | 572 | 0.260 | 0.354 | 0.458 | 0.812 | |
| 84 | Florida | SS | 679 | 0.289 | 0.345 | 0.467 | 0.811 | |
| 85 | Toronto | DH | 582 | 0.292 | 0.338 | 0.473 | 0.811 | |
| 86 | Cleveland | C | 609 | 0.297 | 0.365 | 0.445 | 0.810 | |
| 87 | Washington | 3B | 644 | 0.283 | 0.347 | 0.463 | 0.810 | |
| 88 | Texas | LF | 604 | 0.273 | 0.341 | 0.469 | 0.809 | |
| 89 | Florida | LF | 626 | 0.267 | 0.339 | 0.470 | 0.809 | |
| 90 | Detroit | RF | 643 | 0.291 | 0.344 | 0.463 | 0.808 | |
| 91 | Texas | CF | 682 | 0.292 | 0.349 | 0.457 | 0.807 | |
| 92 | San Diego | CF | 641 | 0.262 | 0.347 | 0.460 | 0.807 | |
| 93 | NY Mets | RF | 606 | 0.281 | 0.337 | 0.470 | 0.807 | |
| 94 | NY Yankees | CF | 670 | 0.273 | 0.345 | 0.461 | 0.806 | |
| 95 | Houston | 3B | 593 | 0.238 | 0.365 | 0.438 | 0.804 | |
| 96 | NY Yankees | 1B | 591 | 0.250 | 0.348 | 0.455 | 0.804 | |
| 97 | Philadelphia | SS | 717 | 0.276 | 0.334 | 0.470 | 0.804 | |
| 98 | Arizona | CF | 689 | 0.276 | 0.328 | 0.476 | 0.804 | |
| 99 | LA Dodgers | C | 589 | 0.301 | 0.365 | 0.438 | 0.803 | |
| 100 | Minnesota | CF | 632 | 0.282 | 0.334 | 0.468 | 0.803 |
0 recs |
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comments
Comments
Nice work, again. Good to see Howard and Utley
I think the upside potential in the Phils lineup lies in three hopes:
+Burrell continues his career pattern of hitting .250-something one year and .280-something the next
+Rowand will play at a level closer to his pre-crash stats than his post-crash stats.
+Most important, the lineup will be more functional, with players in the positions where they have produced best rather than being bumped around as they were through most of last year.
Based on the last three years' performance of our likely opening day nine (with some admitted small samples for most players in certain lineup slots), the optimal batting order is:
Rollins
Rowand
Utley
Howard
Helms
Burrell
Barajas
Victorino
Pitcher
Rowand is much better at the top of the lineup than in the 6 or 7 hole. Barajas is clearly most effective in the 7 hole. Helms has his best OPS in the 5 hole, and Burrell's is significantly better (1.041 to .868) batting sixth than batting fifth. Victorino probably should be batting #2 by conventional wisdom, but might be able to keep the 8-9 positions from being the two instant outs they were last year.
by Chris R on Jan 9, 2007 10:36 PM EST 0 recs
explain
by gr on
Jan 10, 2007 10:21 AM EST
up
0 recs
By OPS in those lineup spots over the past 3 years
#2: .911
#6: .694
#7: .748
as compiled at ESPN.com -- see http://sports.espn.go.com/mlb/players/splits?statsId=6742&type=batting3
by Chris R on Jan 10, 2007 10:35 AM EST 0 recs
wagging the dog
by WholeCamels on
Jan 10, 2007 10:44 AM EST
up
0 recs
I doubt it. If anything, his positioning
Most of his ABs at the top of the order were in 2004, when he was very good at the top of the order, with a .976 OPS in 163 AB as leadoff hitter and .837 in 132 AB as #2. In 2005, when the CWS "upgraded" to Podsednik as their leadoff hitter and put Iguchi in the 2 hole, Rowand had 196 AB in fifth (where he had an .829 OPS but lacked the power you'd want in that spot), 139 in third (.723, with even less power) 120 in sixth and 99 in seventh (with horrible OPS of .626 and .600 respectively).
I think that in 2005 and 2006, Rowand was not used in the most productive way. He's far from a prototypical #2 hitter, but he has performed well in that spot, and has performed comparatively poorly when placed lower in the lineup. You might be able to make a case for putting him in the leadoff spot, but that won't happen while J-Roll draws breath. #2 is where Rowand belongs.
by Chris R on Jan 10, 2007 12:08 PM EST 0 recs
Lineup Positioning is Bogus Split, IMO
While he has starkly contrasted splits between #2 and #7, I submit that those are either A) Random, or B) (as Mr. Baker suggests) re-active changes on the part of the manager.
Here are 7 other splits, that cover Aaron Rowand's entire White Sox career:
(AB, AVG/OBP/SLG OPS)
- 258 AB, .333 / .394 / .543 .937
- 182 AB, .297 / .333 / .434 .767
- 257 AB, .300 / .353 / .436 .788
- 254 AB, .268 / .324 / .472 .796
- 183 AB, .224 / .293 / .377 .671
- 242 AB, .248 / .297 / .405 .702
- 271 AB, .295 / .359 / .461 .820
Split 1 is a worldbeater, split 2 is quite good. 2-4 I could live wit, but 5 and 6 are atrocious. So...
Do we sit Rowand on Thursdays(5) and Fridays(6)? Or schedule double-headers on Sundays(1) and Saturdays(7)?
I believe the Rowand #2 splits to be more trivia than information; my preferred place for him is Chicago, or some other city. Barring that, and "bench", I'd bat him 7th ahead of Barajas, or 8th after Ruiz.
by Shore on Jan 10, 2007 4:33 PM EST 0 recs
That's a spurious example - showing randomness in
by Chris R on Jan 10, 2007 8:20 PM EST 0 recs
I'm unsure
Actually, I'm pretty sure neither are.
And while the randomness of Day-of-Week splits doesn't prove randmoness in lineup-position splits, it does illustrate that a large sample (~1800 AB) controlled for one variable (DoW in this case) can show a wide range of results; we can agree, I think, that this wide range doesn't show a particular skill for hitting on weekends.
The same data set, controlled for a difference variable (lineup position), ALSO shows a wide range of results, but I'm to believe that the highest of those is indicative of a particular, repeatable skill.
I'm not buying it...
Plus, Rowand had an .829 OPS batting 5th in 2005 in over 200 AB, and was only at .736 overall. In 2004, he was over 1.000 at both 5th and 6th (in limited time), .940 at 7th, .976 at 1st, and only .837 2nd - .905 overall.
by Shore on Jan 10, 2007 8:45 PM EST 0 recs








