After having typically appeared in the hallowed pages of Baseball Think Factory, Dan Szymborski’s ZiPS projections have now been released at FanGraphs for half a decade. The exercise continues this offseason. Below are the projections for the San Francisco Giants. Szymborski can be found at ESPN and on Twitter at @DSzymborski.
Batters
“Baseball’s biggest disappointment,” is how Jeff Sullivan characterized the 2017 Giants back at the end of September. And not without reason: the club produced the league’s worst record relative to the preseason projections, a development expressed in graphic form just below.

On the one hand, that’s bad for the 2017 Giants. On the other, though, it’s probably good for the 2018 version of the club. The Giants are likely due — due perhaps more than any other team — for positive regression. Even if San Francisco were to field precisely the same roster this next season, that same precise roster would almost certainly outperform its disappointing predecessor.
The ZiPS projections appear to support this hypothesis. Here, for example, are the forecasts for San Francisco’s top-four returning hitters:
Positive Regression for Top Giants Hitters
Headings marked with -z- represent ZiPS projections for 2018.
The core returning members of the Giants’ offense — Brandon Belt, Brandon Crawford, Joe Panik, and Buster Posey — are projected, on average, to produce an additional win each in 2018. That’s in roughly the same number of plate appearances as 2017, as well, meaning that ZiPS is calling for all four simply to play better this season.
This isn’t to say the club’s field-playing cohort is without flaw. No outfielder, for example, is projected even to produce an average season. Nevertheless, a combination of positive regression and Evan Longoria (645 PA, 3.1 zWAR) ought to facilitate easy improvement over last year’s performance.
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