Here are the RotoGraphs Staff Picks for the 2015 season. Because we like to pick things! We collected all preferred players (and busts) and assembled them in one place for your reference and viewing pleasure.

Last year, we posted staff picks a couple of weeks earlier in the month as a complement to your draft planning. It’s a little late now, unless you’re drafting right before Opening Day, but hey! You can still use it as an in-season waiver wire tool and additional reasons to praise or ridicule us, if that’s your thing.

The categories are fairly self-explanatory, but I’ll try to illuminate the ones that are less clear. A sleeper is an undervalued standard mixed-leaguer, whereas a deep sleeper is a player who maybe isn’t drafted in mixed leagues but eventually succeeds, if not excels, in a starting role. Best flyers are players typically undrafted in most leagues but end up being great waiver wire additions mid-year.

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Dan Rozenheck recently published some interesting research via the Economist regarding the significance of spring training statistics. For the TL;DR crowd, there is some legitimacy to spring training breakouts and disappointments, although they correlate with only marginal improvements to in-season performance in terms of on-base plus slugging (OPS) and earned run average (ERA).

Our own Mike Podhorzer also conducted similar research of his own a couple of years ago. He found that a pitcher’s spring training strikeout and walk rates carry some significance in regard to in-season performance.
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I participated in two drafts this past weekend. Both were 10-team auctions, one a season-long rotisserie keeper league (“LOWV,” henceforth), the other a head-to-head points redraft league (“Sandlot”). They are just home leagues, not renowned leagues such as Tout Wars or LABR or anything like that, but hey! Breaking down any draft can make for good insight, and if it helps just one person clarify his or her strategy, perhaps it did some good.

“So, Alex, how did you in your drafts?” Great, thanks for asking! I love both my teams. Love them. Except I made the same mistake in each draft: I left some money on the table. Like, $20 in one instance. It became a running gag: “Don’t question Alex — it’s all part of his master plan!” But here’s the catch: I arguably have the best team, per the projections, even after managing my budget so poorly.

So where did my strategy go wrong? Honestly, I’m not sure it did. (Or maybe I’m just trying to make myself feel better.)
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Every year, we here at RotoGraphs publish tiered rankings for every position and update them throughout the year. What you will read below are, more or less, my end-of-season projections for National League outfielders, since the season hasn’t started yet. However, these rankings will change as the year progresses, and I would be a fool to tell you the tiers below will look the same in September.

No doubt, this is a contentious matter, and you can tell me how much of a moron I am in the comments.

Without further ado, here is the 2015 season’s first installment of tiered rankings for NL outfielders.

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Depth chart discussions are in full swing. We are analyzing each team’s infield, outfield, rotation and bullpen components in separate segments. Catch up on the discussions here.

I don’t know how analyze the Cardinals’ outfield in a way that properly acknowledges the significant role the Cardinals’ carved out for Oscar Taveras without marginalizing or trivializing his life and talent nor condoning the cause of his passing. His sudden death shocked the baseball community and left a gaping hole in the St. Louis outfield. Unfortunately, there’s a lot we’ll never know about Taveras, the budding superstar who never was — or, perhaps more accurately, never got to be.

* * *

With the departures of Carlos Beltran and Allen Craig, and with Matt Adams employed full-time at first base, the St. Louis outfield looks thin. But the Cards have a pair of prospects ready to contribute at the Major League level (or close to it), both of whom will likely assume full-time roles in the next couple of years. Meanwhile, the Cardinals’ regulars, barring injury, will assume the lion’s share of the starting duties and produce enough offensive and defensive value to warrant their lack of depth — if they stay healthy, that is, and that’s a big “if.”

Left Field: Matt Holliday (Age 35)
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Depth chart discussions are in full swing. We are analyzing each team’s infield, outfield, rotation and bullpen components in separate segments. Catch up on the discussions here.

A couple of weeks ago, I highlighted the 10 most “MLB-ready” AAA outfield prospects based on a variety of requirements about which you can read if you click through. The idea was to ignore any kind of prospect labels and strictly let the statistics and hitters’ ages tell the story.

The list is by no means definitive, but Pirates outfielders assumed four of the 10 spots. Their projections weren’t necessarily rosy — they may all end up being bench pieces at best, for all we know — but it doesn’t negate the fact that they may be ready to positively contribute at the Major League level in some capacity. Toss into the mix top prospect Austin Meadows farther down the organizational ladder and it becomes clear that Pittsburgh has enough outfield depth throughout its system to support an ensemble cast that should be together for years to come.

Left Field: Starling Marte (Age 26)
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RotoGraphs has graciously (and, as we’ll soon learn, erroneously) allowed me to make bold predictions for the 2015 season. Last year, in the privacy of my own blog, I predicted Dan Haren would strike out fewer than seven batters-per-nine after notching an 8.0 K/9 in 2013. He finished the 2014 season with a 7.02 K/9. Needless to say, I’m looking for vengeance. So let’s do this! Right now!!!!

1. Giancarlo Stanton finishes outside the top 10… outfielders.

FanGraphs’ auction calculator, in its default settings, depicts Stanton as the third most expensive player behind Mike Trout and Joe Blanton Clayton Kershaw. He ranks second in average auction value in ESPN drafts. He’ll find his way to the disabled list again, and the BABIP gods will punish him en route, leaving him outside not only the top 10 overall but also the top 10 outfielders outright.

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An unambiguously true fact: Matt Holliday is an old man in baseball years and in dog years. Another unambiguously true fact: Holliday has been remarkably consistent throughout his career. Hear ye:

• He has hit at least 20 home runs in nine straight years, a streak currently matched only by David Ortiz and Miguel Cabrera;
• His walk rate has hovered between 10 and 12 percent for the better part of a decade, and his strikeout rate has always resided in the mid-teens;
• He has averaged 647 plate appearances per season dating back to 2006;
• And honestly, I don’t know if I’ve ever seen a batted ball profile so absurdly consistent.

Yet a slight dip in power and a career-worst batting average (.272, aka what some players can only dream of hitting) in 2014 couldn’t have come at a worse age, and it all has fans and projection systems alike running for the hills, as shown below.
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… if this nonsense with his agent(s?) ever clears up.

I feel like Debbie Downer from the classic Saturday Night Live sketch. I found reasons to dislike Yasmany Tomas, and now I’m here trying to find reasons to dislike Hector Olivera. It’s largely because I’m stubborn and would rather die by own fantasy baseball sword than someone else’s. But I haven’t seen any assessment of Olivera’s Cuban National Series (CNS) statistics beyond he hit an impressive .323/.407/.505 in his 10 years in Cuba, so I’ll attempt to expand on this.

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This is meant to be less of an overly serious analysis as it is an exercise in projecting minor league players in a new and different way. Unfortunately, Chris Mitchell has largely done what I’m about to present, and with more sophistication at that, so I’ll have to strike out the new part. But different? Sure, to an extent.

While Chris’ KATOH predicts a hitter’s probability of major league success by projecting career wins above replacement (WAR) thresholds, my model predicts probability of future success in the context of various career accomplishments: Will he be a better-than-replacement level starter? An All-Star? A future MVP? Ultimately, the exercise is simpler and more qualitative, evaluating strictly AAA stats (rather than all minor league levels, as KATOH does) and making predictions according to various marginal changes in common statistics such as isolated power (ISO), stolen base rate (SB/PA) and age. Think of the model as a series of player comparisons. Also, please think of the model as not a replacement or substitute for KATOH but a complement to it, albeit a less intense one. I will use this tool for analysis, but only infrequently; I recommend you keep up with all of Chris’ KATOH posts (as well as Kiley McDaniels‘ prospect coverage) to fulfill your prospect consumption needs.

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