Over the past three months, IBI rolled out the year-end rankings for every minor league affiliate in the Cleveland system. Next up, we will be running down the top-100 performers based on those WAR rankings, albeit with a slight twist.
Simply ranking each player based on the raw numbers would have some value, but not nearly as much as when the stats are adjusted for how old the prospect was compared to his minor league level. For example, older prospects like Anthony Gallas, who did well at 26 years old in High-A and Double-A, are downgraded, while younger prospects like Francisco Lindor, who did well at 20 years old Double-A and Triple-A, are upgraded (as if Lindor needed anymore help).
Naturally, if Gallas — or anyone else in his situation — continues to hit like he did in 2014, it will not matter that he was old for his level, and vice versa for young prospects. But overall, accounting for a player’s age relative to level is critically important for judging a prospect’s performance.
Before moving on to the honorable mentions of The WAR Room’s performance-based rankings, first some reminders on what these numbers are, their uses, and their limitations:
It is always important to keep context in mind, just like with scouting. A pitcher who is old for his level using that experience to succeed against young, inexperienced hitters must be taken with a grain of salt; the same goes when looking at these WAR totals.
But it is a useful tool to put each player’s performance into context and look at where they sit in regard to the rest of the league.
For reference on how I computed WAR, a reminder on the problems inherent in the stats, and everything else you need to know, click here. For a refresher on WAR and what it is, click here.
As a reminder, a 0.0 WAR per 162 games is replacement level — otherwise known as the kind of performance an average player from the level below could offer — a 2.0 WAR per 162 games is average, and a 5.0 WAR per 162 games is All-Star level.
Also, the lack of good defensive metrics for the minor leagues means we have to adjust for a range of defensive abilities. To account for this, I will give you each player’s WAR with a qualifier: either poor-defense WAR for a poor defender (-10 runs below-average per 162 games), average-defense WAR for an average defender (0 runs per 162 games), or great-defense WAR for a great defender (10 runs above-average per 162 games).
Additionally, note that pitchers have FIP-based WAR — which is based on peripherals like strikeouts, walks, home runs, etc. — and RA-based WAR — which is based on runs allowed.
One more thing, all “+” stats are averaged at 100. Anything over 100, like 110, is higher and means that player is 10 percent better than the league average. Anything under 100, like 90, is lower and means that player is 10 percent worse than the league average. In the case of any “-” stats — when lower is better, like with ERA — a 90 ERA- means that player is 10 percent better than the league average.
The 2014 year-end season in review for every affiliate is listed below:
And here are the previous editions of these rankings:
Now, on to the rankings:
Cleveland’s 11th round pick in this past year’s draft, Robinson put up some really nice numbers in the Arizona League, headlined by his 1.23 ERA (31 ERA-). A good chunk of his value came from his .230 BABIP (73 BABIP+) and not allowing a home run in 22.0 innings, but the recently-turned 20-year-old still had a good debut without the BABIP and home run luck. Though he pitched out of the bullpen in his professional debut, it seems that the organization will at least give Robinson a chance to develop as a starter in the years ahead. Read More…
From Indians Baseball Insider, December 14, 2014