Steamer Projections

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The final pre-season (sort of — really, as of March 30th, 2014) projections are available here where they’ll remain untouched for posterity.  There’s also a zip file in there that has our split hitter projections (v. LHP and v. RHP projections, that is).  Starting soon you’ll be able to find in-season updates on Fangraphs and Razzball.  Razzball creates it’s own playing time (and save, hold and QS projections) and also re-combines our split hitter lines to provide slightly different rate stats than you’ll see on Fangraphs.

Kershaw moves under 3.00

We’ve made what are likely (hopefully) our final methodological tweaks of the 2014 pre-season.

First, we started accounting for pitcher defense (including how pitchers affect the running game) which helps Clayton Kershaw and Mark Buehrle among others.  We also tweaked how we project HR’s allowed for pitchers and shifted how we build our pitcher priors (regression means) so that they line up with today’s offensive levels.

We are now projecting a league ERA of 3.95 (the league had a collective ERA of 3.87 last year and 4.01 the year before) and a 3.95 FIP based on 7.56 K/9 (actuals of 7.57 and 7.56 the last two years), 3.01 BB/9 (3.02 and 3.05) and 1.02 HR/9 (0.96 and 1.02).    We’re not forcing our averages to match a specific expected league average but it’s certainly reassuring if we’re quite close to what you’d reasonably expect.

The starter who benefitted the most from our tweaks was Clayton Kershaw’s whose ERA fell from 3.11 to 2.93 — thanks mostly to our inclusion of pitcher defense and, to a lesser degree, from our new HR allowed formula (note that while Kershaw’s actual HR projection ticked up slightly his HR/9 relative to the league actually went down).  Zach McAllister moves in the other direction, from 4.40 to 4.62.  Aroldis Chapman is the winner among relievers falling from 2.11 to 1.93.

Updated Fielding Projections

As of this morning, we’ve updated our fielding projections.  There are two major changes in the way we’re cooking this year’s fielding projections.   First, these are now based on more data: 5 past years and the current season (in-season, that is) of UZR data instead of merely 2 past years of UZR’s and the current season.  Second, they are regressed towards Tom Tango’s Fan Scouting Reports instead of towards zero.  This ends up creating somewhat more aggressive projections.  Andrelton Simmons leads the way and is projected to be 21 runs better than the average shortstop.  The biggest gainer from the old system to the new system is Brett Gardner who goes from a projection of merely +1 all the way up to +14 (the 4th best UZR projection after Simmons, Machado and Arenado).  Check out the table below to see how fielders fared under each system.


Adjusted Regression Levels

Our previous regression levels for hitters were too high and didn’t fully reflect the lower offensive levels we’ve been seeing in the last couple of years.  Our new lower levels knock hitters down by roughly 3 wOBA points on average (less for more established players but more for players with less history and thus more regression).

One nice aspect of new lower our projected league offensive level is that our projected offensive level is now essentially identical to both ZiPS and Oliver making all three projection systems directly comparable.