With nearly 60 games played to date we can start to wash out some stats and look for regression to the mean. Today we will look at SP BABIP; the 20 lowest BABIP to be exact. Though BABIP can give us some insight as to how a pitcher fares on the mound it should be noted that luck and defense plays a part in the equation. What I want to point out is that even with an abnormally low BABIP that does not translate to a quality SP. Take Noesi for example the 2nd lowest BABIP so you would think a low ERA and a decent WHIP. Not with Noesi and that is because he has been hampered by the long ball. Giving up 14 HR over his 12 starts; thus leading him to a 5.99 ERA. So when looking at SP BABIP, combine that info with ERA and QS to see if a SP is really on top of their game. Remember that the league average for BABIP is usually around .300 and if a SP you are targeting is extremely on the high or low side of .300 dig deeper and then expect a regression back towards .300. It is one good predictor to measure quality in SPs for Fantasy purposes. Those listed here should have some regression over the next 60 games.
| Brandon Beachy | 0.203 |
| Hector Noesi | 0.216 |
| Brandon Morrow | 0.217 |
| Chris Capuano | 0.222 |
| Ricky Romero | 0.222 |
| Carlos Zambrano | 0.225 |
| Jered Weaver | 0.227 |
| Kevin Correia | 0.229 |
| C.J. Wilson | 0.230 |
| Jason Vargas | 0.230 |
| Jake Peavy | 0.231 |
| Edwin Jackson | 0.237 |
| James McDonald | 0.239 |
| Barry Zito | 0.241 |
| Matt Garza | 0.242 |
| Jeremy Hellickson | 0.242 |
| Clayton Kershaw | 0.242 |
| Ryan Dempster | 0.246 |
| Henderson Alvarez | 0.246 |

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