The Marlins have had a tough go of it lately, going 4-6 over their last 10 games. The Mets have played better over that same stretch, posting a 7-3 record.
No big surprises here. The Mets and Marlins have performed about even to this point of the season in terms of their offense. Both teams are scoring 3% better than the rest of the NL. The biggest difference is the gap between the Marlins HR/FB (9% better than the NL average) and the Mets (7% worse than the NL average).
The Marlins have clearly performed better on the mound, despite getting basically nothing from Javier Vasquez. Lucky for the Marlins, the Mets won't get to face him this time around.
Josh Johnson is an absolute beast on the hill ( and the Mets draw him in game one (5.69 K/9-BB/9, 2.52 FIP--splendid). Game two will feature Ricky Nolasco, who hasn't exactly been a slouch either this year (3.31 FIP, 2.97 xFIP).
The Mets counter with Mike Pelfrey and Jon Niese. Pelfrey has had an awful year, but has pitched better of late. Yes, he gave up three home runs in Colorado last time out, but they were all solo shots. Additionally, Colorado has a great HR/FB ratio, particularly at home (12%--5th in the NL). What was more encouraging was that Pelfrey was limiting baserunners (one walk, three non-HR hits).
Niese, on the other hand, pitched well in his previous four starts up until his last start against Colorado. For some reason, Niese has walked almost twice as many hitters at home versus on the road this year (4.47 BB/9 vs. 2.28 BB/9--in four home starts this year he's only walked less than three batters once). If we see the low-walk Neise on Tuesday that becomes a more winnable game for the Mets.
Once again, the Mets stack up well against their opponent offensively, but must overcome two hurdles--solid starting pitching from the other team and clearly deficient pitching from their own staff. I, for one, would be overjoyed with a split here before hosting the Nationals on Wednesday and Thursday.
Graphic Guide: League average is scaled to 100. Scores higher than 100 indicate performance above league average, less than 100 indicates performance below league average regardless of the statistic. For example, if a team has a FIP of 110% above their actual FIP is 10% lower (better) than league average.