Steamer Projections Updated
The following changes/fixes/additions were made:
1. We now have projections for Jung-Ho Kang and Yasmany Tomas. Kang checks in with a .249/.307/.399 (.312 wOBA) line and Tomas with a .252/.292/.433 (.317 wOBA) line.
2. We tweaked our projected league offensive level. We were projecting an average ERA of 3.88 and are now projecting an average ERA of 3.83 (for comparison, MLB pitchers had a collective ERA of 3.74 last year and 3.87 the year before). Before, we projected an average wOBA of .319 and now we’re projecting an average wOBA of .317 (non-pitchers had a wOBA of .315 last year and .318 the year before). In short, we’ve moved from projecting an offensive level like that of 2013 to level between those of 2013 and 2014.
3. The levels that low minors pitchers stats are regressed towards were adjusted to reflect the fact that they are, in fact, low minors pitchers. Will Locante is a good example of this change. Previously, Locante projected to a 4.43 ERA with the thinking that, if he does pitch in a Major League bullpen this year, he must be better than his low minors numbers indicate. With our new regression mean, Locante projects to a 5.19 ERA. This is in some sense wrong, since if he does pitch in the Majors he’s probably better than that, but it’s also a better estimate of how good Locante is right now since this projection is not conditional on his pitching in the Major Leagues. Where we have a fastball velocity for a low minors pitcher (from a scouting report) his projection will now take into account both his velocity and the fact that he’s only pitched in the low minors.
4. Projections are adjusted to better take into account changing league offensive levels. This primarily affects minor leaguers and foreign players who have been pitching in other leagues (and we wanted to make this adjustment before projecting Kang and Tomas) but will also have a (muted) effect on pitchers whose past MLB data is from longer ago. To explain why we felt that this is necessary, in 2009 MLB pitchers struck out 18.0% of the batters they faced while pitchers in Japanese leagues stuck out 18.9%. Last year, however, MLB pitchers struck out 20.4% of batters and JPL and JCL pitchers continued to strike out 18.9% of batters. If we use the same translation in 2014 that we used in 2009 we would be underrating pitchers from the Japanese leagues. A similar phenomenon holds when translating minor league statistics to MLB levels. Our change would have helped Masahiro Tanaka if we had implemented this last year and it still helps him a bit: dropping his projected ERA to 3.37 from 3.44. This change is a boon to Noah Syndergaard, however, dropping his ERA all the way down to 3.61 from 3.91. Cuban batters also get a significant boost: Jose Abreu is up from a .385 wOBA to .394 wOBA and Rusney Castillo jumps up from .317 to .328.
5. You may also notice higher BB/9 projections and, accordingly, higher ERA projections for MLB relievers who haven’t thrown many innings in recent years. Joel Hanrahan’s BB/9 jumps from 3.2 to 3.7 and Daniel Hudson’s from 2.2 to 2.8.
6. Batters’ projected lineup slots were updated and R and RBI projections were adjusted accordingly.
We’re hoping that these mid-off-season adjustments don’t catch you off guard. Our thinking is that when we see ways in which our system is falling short, we should fix them as soon as we can. That said, we fully expect that this will be the last update to the underlying algorithm this off-season. Playing times and roles may well change but the system for producing player rate projections will not.
Jared Cross is a co-creator of Steamer Projections and consults for a Major League team. In real life, he teaches science and mathematics in Brooklyn.
Thanks for the clarity. Keep up the great work.
“Batters’ projected lineup slots were updated and R and RBI projections were adjusted accordingly.”
That’s awesome. Lineup slots have a huge impact on contextual stats (as well as PA per game) and are a hugely over-looked projection component. Many comparisons look at wOBA only, which is good for real baseball but not for fantasy.
Billy Hamilton got hammered in the update — he lost 100 ABs, his runs dropped 20%, steals nearly as much and his average went from .252 to .245. Can you explain this? The first three suggest that Steamer sees him batting 8th, not leadoff, this year but that’s hard to fathom given the Reds’ lineup.
Thanks for having eyes on this. I’m seeing that before the update (I saved a copy) he was at 518 PA and now he’s at 556. His projection now has him getting 83% of his PA batting leadoff, 5% 9th, 4% 8th, 4% 7th… and a few scattered PA in other spots. I see him with a .245 BA before the update and a .244 BA now. Are you looking at something saved from longer ago? His depth chart playing time % might have changed in that case.
Probably longer ago: The projections I’m citing are dated 12/26 and have him at 611 AB/ 154 H/ 8 HR / 47 RBI/ 77 R/ 69 SB. (Sorry, I use only the Roto stats so can’t provide the PA number.) So that probably explains it. Thanks, Jared.
ABU
Always
Be
Updating
(and never apologize for it)
Jared, Thanks so much for this update and explanation. I believe these sort of overt explanations are why Steamer has gained so much ground in the projections world recently (of course, accuracy plays a huge role too!).
I hate to keep beating the same drum, but if FG is going to continue to list tabs for Marcel and Oliver, then it would be nice to have *some* news as to their expected hit times. I have emailed Jeff Zimmermann in the past at BB Heatmaps where the Marcel database is stored, but I have heard absolutely nothing about Brian Cartwright’s Oliver timeline despite asking in the Q&A and elsewhere. Any FG writer have an update?
Many thanks again to Jared, Dan, Jeff, Brian and all others that spend so much time trying to improve & catalogue these systems. I can only imagine the workload to produce these and certainly want to radiate a sense of gratitude!
Wow. Thanks so much for posting the explanations/justifications, I think I might have had a heart attack if I updated to the new projections and everything was different!
Thanks guys.
Not sure if it’s just me, but can’t see the Tomas/Kang projections…
Sorry about that. I think that has to do with the fact that they don’t have BIS ID’s yet so they’re not showing up.
Can you please post the full stat lines for those of us who might have drafts prior to those identifiers being issued?
Would it be possible to add an option of “NL-Only” and “AL-Only” in the team drop down list for us who are in Only leagues?
That would be great. Currently, the most efficient way to export the data for a single league is to export 15 teams individually and then merge the data together.
For extra credit, it would be awesome if the export feature also included position data for hitters.
How should the average user interpret “Steamer 600” rankings in comparison to a normal data set with other factors weighed in? I get it, I think, Steamer 600 is every player extrapolated if they had 600 PA? How does that compare to ZIPS or some such and/or Steamer in-season updates?