Author Archive

The Top-Five Pirates Prospects by Projected WAR

Yesterday, Kiley McDaniel published his consummately researched and demonstrably authoritative prospect list for the Pittsburgh Pirates. What follows is a different exercise than that, one much smaller in scope and designed to identify not Pittsburgh’s top overall prospects but rather the rookie-eligible players in the Pirates system who are most ready to produce wins at the major-league level in 2015 (regardless of whether they’re likely to receive the opportunity to do so). No attempt has been made, in other words, to account for future value.

Below are the top-five prospects in the Pittsburgh system by projected WAR. To assemble this brief list, what I’ve done is to locate the Steamer 600 projections for all the prospects to whom McDaniel assessed a Future Value grade of 40 or greater. Hitters’ numbers are normalized to 550 plate appearances; starting pitchers’, to 150 innings — i.e. the playing-time thresholds at which a league-average player would produce a 2.0 WAR. Catcher projections are prorated to 415 plate appearances to account for their reduced playing time.

Note that, in many cases, defensive value has been calculated entirely by positional adjustment based on the relevant player’s minor-league defensive starts — which is to say, there has been no attempt to account for the runs a player is likely to save in the field. As a result, players with an impressive offensive profile relative to their position are sometimes perhaps overvalued — that is, in such cases where their actual defensive skills are sub-par.

t5. Elias Diaz, C (Profile)

PA AVG OBP SLG wRC+ WAR
415 .228 .278 .316 69 0.6

As McDaniel notes, Diaz was signed as an 18-year-old out of Venezuela for just $20 thousand. Age and bonus amount are pretty strong indicators of a Latin American player’s prospect status — and Diaz’s indicators suggest that his status as a prospect wasn’t “very highly sought after.” Statistically, though — with the exception of a couple low-BABIP seasons — he’s demonstrated a promising and constantly improving offensive profile, never striking out in more than 20% of his plate appearances and always exhibiting something better than negligible power. Moreover, his defensive skills at catcher appear to be his actual strength. Considered altogether, that’s a promising collection of qualities — one that renders him probably somewhere above replacement level.

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The Top College Players by (Maybe) Predictive Stats

What follows does not constitute the most rigorous of statistical analyses. Rather, it’s designed to serve as a nearly responsible shorthand for people who, like the author, have considerably more enthusiasm for than actual knowledge of the collegiate game — a shorthand means, that is, towards detecting which players have produced the most excellent performances of the college season.

As in other editions of this same thing, what I’ve done is utilize principles recently introduced by Chris Mitchell on forecasting future major-league performance with minor-league stats.

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2015 Positional Power Rankings: Relief Pitchers (#16-30)

What do we have here? For an explanation of this series, please read this introductory post. As noted in that introduction, the data below is a hybrid projection of the ZIPS and Steamer systems, with playing time determined through depth charts created by our team of authors. The rankings are based on aggregate projected WAR for each team at a given position.

Yes, we know WAR is imperfect and there is more to player value than is wrapped up in that single projection, but for the purposes of talking about a team’s strengths and weaknesses, it is a useful tool. Also, the author writing this post did not move your team down ten spots in order to make you angry. We don’t hate your team. I promise.

The rankings of power being conducted by this site have almost concluded. Today, we turn our attention to relief pitchers. We begin by turning our attention, specifically, to this graph:

RP Graph, Teams 16 to 30

Included here are the bullpens which feature the 16th to 30th most power in the major leagues. Jeff Sullivan will consider Nos. 1-15 later in the morning. Or, he probably will, at least. One oughtn’t get in the habit of assuming that everything will work out nicely. As Werner Herzog has almost certainly said at some point, disaster is inevitable.

Now, relief pitchers!

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The Top-Five Mariners Prospects by Projected WAR

Yesterday, Kiley McDaniel published his consummately researched and demonstrably authoritative prospect list for the Seattle Mariners. What follows is a different exercise than that, one much smaller in scope and designed to identify not Seattle’s top overall prospects but rather the rookie-eligible players in the Mariners system who are most ready to produce wins at the major-league level in 2015 (regardless of whether they’re likely to receive the opportunity to do so). No attempt has been made, in other words, to account for future value.

Below are the top-five prospects in the Seattle system by projected WAR. To assemble this brief list, what I’ve done is to locate the Steamer 600 projections for all the prospects to whom McDaniel assessed a Future Value grade of 40 or greater. Hitters’ numbers are normalized to 550 plate appearances; starting pitchers’, to 150 innings — i.e. the playing-time thresholds at which a league-average player would produce a 2.0 WAR. Catcher projections are prorated to 415 plate appearances to account for their reduced playing time.

Note that, in many cases, defensive value has been calculated entirely by positional adjustment based on the relevant player’s minor-league defensive starts — which is to say, there has been no attempt to account for the runs a player is likely to save in the field. As a result, players with an impressive offensive profile relative to their position are sometimes perhaps overvalued — that is, in such cases where their actual defensive skills are sub-par.

t5. John Hicks, C (Profile)

PA AVG OBP SLG wRC+ WAR
415 .220 .262 .314 64 0.5

Between Hicks and Tyler Marlette (below), the latter is probably the overall more impressive prospect. Marlette was drafted out of high school (Hicks, college); received a signing bonus of about $650 thousand (Hicks, about $250 thousand); and earned a promotion to Double-A in just his age-21 season (while Hicks only first appeared there as a 23-year-old). For 2015, however, they profile as almost the same player, projected by Steamer to produce roughly identical offensive lines while both benefiting — deservedly so, it would appear based on McDaniel’s analysis — from the catcher positional adjustment. Should something happen to Jesus Sucre, Hicks would be an entirely acceptable replacement. Even if something doesn’t happen to Sucre, that might still be the case.

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FanGraphs Audio: Dave Cameron on Service Time, Inevitably

Episode 544
Dave Cameron is both (a) the managing editor of FanGraphs and (b) the guest on this particular edition of FanGraphs Audio — during which edition he discusses not Kris Bryant exclusively, but also definitely Kris Bryant at some point.

Don’t hesitate to direct pod-related correspondence to @cistulli on Twitter.

You can subscribe to the podcast via iTunes or other feeder things.

Audio after the jump. (Approximately 41 min play time.)

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FanGraphs Audio: The Super Wrong Kiley McDaniel

Episode 543
Kiley McDaniel is both (a) the lead prospect writer for FanGraphs and also (b) the guest on this particular edition of FanGraphs Audio — during which edition he discusses, almost by accident, most of the top-10 prospects for the 2015 amateur draft.

Don’t hesitate to direct pod-related correspondence to @cistulli on Twitter.

You can subscribe to the podcast via iTunes or other feeder things.

Audio after the jump. (Approximately 59 min play time.)

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FanGraphs Audio: Craig Robinson, Live from Mexico City

Episode 542
Craig Robinson is a native of Lincoln, England; resident of Mexico City; author of Flip Flop Fly Ball, a book of infographics on the topic of baseball; and, most importantly, owner-operator of the URL CraigRobinson.com. He’s also the guest on this edition of FanGraphs Audio, recorded at La Bipo, a cantina in the Coyoacán district of Mexico City.

Don’t hesitate to direct pod-related correspondence to @cistulli on Twitter.

You can subscribe to the podcast via iTunes or other feeder things.

Audio after the jump. (Approximately 57 min play time.)

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The Top-Five Cleveland Prospects by Projected WAR

Yesterday, Kiley McDaniel published his consummately researched and demonstrably authoritative prospect list for the Cleveland. What follows is a different exercise than that, one much smaller in scope and designed to identify not Cleveland’s top overall prospects but rather the rookie-eligible players in the Cleveland system who are most ready to produce wins at the major-league level in 2015 (regardless of whether they’re likely to receive the opportunity to do so). No attempt has been made, in other words, to account for future value.

Below are the top-five prospects in the Cleveland system by projected WAR. To assemble this brief list, what I’ve done is to locate the Steamer 600 projections for all the prospects to whom McDaniel assessed a Future Value grade of 40 or greater. Hitters’ numbers are normalized to 550 plate appearances; starting pitchers’, to 150 innings — i.e. the playing-time thresholds at which a league-average player would produce a 2.0 WAR. Catcher projections are prorated to 415 plate appearances to account for their reduced playing time.

Note that, in many cases, defensive value has been calculated entirely by positional adjustment based on the relevant player’s minor-league defensive starts — which is to say, there has been no attempt to account for the runs a player is likely to save in the field. As a result, players with an impressive offensive profile relative to their position are sometimes perhaps overvalued — that is, in such cases where their actual defensive skills are sub-par.

Read the rest of this entry »


The Top College Players by (Maybe) Predictive Stats

What follows does not constitute the most rigorous of statistical analyses. Rather, it’s designed to serve as a nearly responsible shorthand for people who, like the author, have considerably more enthusiasm for than actual knowledge of the collegiate game — a shorthand means, that is, towards detecting which players have produced the most excellent performances of the college season.

As in other editions of this same thing, what I’ve done is utilize principles recently introduced by Chris Mitchell on forecasting future major-league performance with minor-league stats.

Read the rest of this entry »


2015 Positional Power Rankings: Shortstop

What do we have here? For an explanation of this series, please read this introductory post. As noted in that introduction, the data below is a hybrid projection of the ZIPS and Steamer systems, with playing time determined through depth charts created by our team of authors. The rankings are based on aggregate projected WAR for each team at a given position.

Yes, we know WAR is imperfect and there is more to player value than is wrapped up in that single projection, but for the purposes of talking about a team’s strengths and weaknesses, it is a useful tool. Also, the author writing this post did not move your team down ten spots in order to make you angry. We don’t hate your team. I promise.

It’s time now to continue the rankings of power being conducted by this site. Today, we turn our attention to shortstops. We begin by turning our attention, specifically, to this graph:

SS Graph

Some teams (Colorado) have very good shortstops; others (Miami) have less good shortstops. Every team has shortstops. In what follows, the author examines how much power the shortstops possess and then ranks them according to that power.

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