The supposedly sabermetrically savvy are outsmarting themselves when it comes to fly ball pitchers.
Let's start with the king of all the new-age pitching stats – batting average on balls in play (BABIP, but if you pronounce that as one word, you are a dork). I like the stat, generally. Our pitching projections can be much sharper as a result of it. But it's not only less useful in projecting extreme fly ball pitchers, it's actually harmful.
The reason is that fly ball pitchers should be expected to have a much lower BABIP than league average for the simple reason that fly balls are significantly less likely to become hits than grounders. How less likely can be gleaned from this chart of the most extreme fly ball pitchers in baseball last year (minimum 20 starts):
| Player | Team | GB/FB | AB | H | HR | K | SF | BABIP |
| Guillermo Moscoso | Oak | 0.49 | 469 | 98 | 14 | 71 | 3 | 0.219 |
| Jered Weaver | LAA | 0.66 | 857 | 182 | 20 | 198 | 5 | 0.254 |
| Josh Collmenter | Ari | 0.70 | 530 | 129 | 16 | 89 | 2 | 0.266 |
| Ted Lilly | LAD | 0.71 | 723 | 172 | 28 | 158 | 5 | 0.268 |
| Colby Lewis | Tex | 0.71 | 767 | 187 | 35 | 169 | 5 | 0.270 |
| Brandon Beachy | Atl | 0.75 | 529 | 125 | 16 | 169 | 5 | 0.317 |
| Jeremy Hellickson | TB | 0.77 | 695 | 146 | 21 | 117 | 2 | 0.224 |
| Scott Baker | Min | 0.77 | 500 | 125 | 15 | 120 | 2 | 0.301 |
| Bruce Chen | KC | 0.79 | 589 | 152 | 18 | 97 | 5 | 0.283 |
| Javier Vazquez | Fla | 0.82 | 732 | 178 | 21 | 162 | 6 | 0.286 |
| J.A. Happ | Hou | 0.82 | 592 | 157 | 21 | 134 | 8 | 0.311 |
| Brett Cecil | Tor | 0.83 | 476 | 122 | 22 | 87 | 5 | 0.272 |
| Michael Pineda | Sea | 0.84 | 629 | 133 | 18 | 173 | 3 | 0.263 |
| Tim Wakefield | Bos | 0.87 | 545 | 148 | 22 | 83 | 7 | 0.286 |
| Wade Davis | TB | 0.88 | 712 | 190 | 23 | 105 | 7 | 0.286 |
| Alexi Ogando | Tex | 0.91 | 628 | 147 | 16 | 124 | 3 | 0.268 |
| Jason Vargas | Sea | 0.91 | 787 | 205 | 22 | 131 | 4 | 0.289 |
| Shaun Marcum | Mil | 0.92 | 753 | 175 | 22 | 158 | 6 | 0.267 |
| Freddy Garcia | NYY | 0.92 | 564 | 151 | 16 | 95 | 7 | 0.298 |
| Tommy Hanson | Atl | 0.93 | 484 | 106 | 17 | 142 | 3 | 0.274 |
| Brandon Morrow | Tor | 0.94 | 683 | 162 | 21 | 203 | 9 | 0.307 |
| Randy Wolf | Mil | 0.95 | 805 | 214 | 23 | 134 | 6 | 0.295 |
| Bronson Arroyo | Cin | 0.96 | 793 | 227 | 46 | 108 | 5 | 0.283 |
| Justin Verlander | Det | 0.99 | 904 | 174 | 24 | 250 | 3 | 0.238 |
| Josh Tomlin | Cle | 0.99 | 634 | 157 | 24 | 89 | 3 | 0.255 |
| Ian Kennedy | Ari | 0.99 | 818 | 186 | 19 | 198 | 9 | 0.278 |
| Josh Beckett | Bos | 1.00 | 693 | 146 | 21 | 175 | 5 | 0.252 |
| Aaron Harang | SD | 1.00 | 651 | 175 | 20 | 124 | 2 | 0.306 |
| James McDonald | Pit | 1.00 | 657 | 176 | 24 | 142 | 5 | 0.310 |
The BABIP expectation for this group should be .276 (their average) and even lower (.270) for the those lower than the average GB/FB ratio of 0.87 (it's .280 for those with a higher rate, but still 1.0 or better).
But yet all these pitchers are generally recalculated to have the generic, league-average BABIP and resulting expected ERA. (I do realize that fly balls that are hits are about 10 times more likely to result in extra bases, so let's table xFIP for now.)
I promise you that I am not representing Jeremy Hellickson. I had no shares, at least not until doing this research (after which I acquired him for Rickie Weeks in a dynasty league). But I understand your suspicions after last week's column on missed swing rates. Commenters noted how that piece didn't address his lucky BABIP. (Why would it?) Well, here you go. Hellickson wasn't so lucky after all – especially when you factor in that 16.2% of his fly balls were infield pop-ups (second highest rate in the league, behind only Ted Lilly). That's about 20 more automatic outs than we could expect – about as good as Ks (versus the 16 or so outs we should have expected with regular old fly balls).
Another key note about extreme fly ball pitchers: Their expected rate of homers allowed as a percentage of fly balls allowed is typically better than the league average rate, too. Perhaps I'll expand on this in a future column. But you need to know it right now if you are drafting because those xFIP ERAs recalculate homers and unfairly inflate them for many of these types, I do believe. Think about it logically – the fly ball pitcher is exerting control over the at bat when the hitter hits a fly ball. He's basically won. When a ground ball pitcher allows a fly ball, something by definition has gone wrong and the hitter is presumably significantly more likely to make solid contact.
So discount the reported "luck" factor for the pitchers above. Many of your owners and most stat heads will be undervaluing them. Don't be like them. Also, circle the guys who had a high BABIP despite their GB/FB suggests. They were likely far more unlucky than it first seems (though check their respective line drive rates, too). And, yes, by implication ground ball pitchers are unfairly rewarded by the luck adjusters. But more on that later, too.
Michael Salfino (Twitter @MichaelSalfino) is a quantative sports analyst whose writing regularly appears in the Wall Street Journal. His New York sports musings can also be found at SNYWhyGuys.
