Archive for Daily Graphings

Randal Grichuk’s Doing Something Very Unusual

I write a lot about player adjustments. I write so often about player adjustments I start to get a little self-conscious about it. I just do it because I love doing it, and because sometimes I forget what else there is to cover. I love it when a pitcher tries to add a new pitch. I love it when he adjusts an old pitch, or when he starts using the same pitches in different ways. It interests me when a hitter starts putting more or fewer balls in play on the ground. Or, there are the cases where hitters pull the ball more, or spray the ball more. There are so many types of adjustments. There’s one in particular we very seldom see. One we also dream about players making. Randal Grichuk, for his part, is giving it a go.

Grichuk has had a familiar hitting profile: big power, but limited by wavering control of the strike zone. He’s been the hitter equivalent of a talented pitcher with overwhelming stuff but inconsistent command. Those pitchers can still be valuable, but more often than not, they never figure out how to throw strike after strike. And, even more often than not, aggressive hitters tend to stay aggressive. It’s easy to observe when a guy is swinging too much, but it’s not an easy thing to improve.

In his last 10 games, Grichuk has drawn nine walks. He’s struck out six times. To put it another way, Grichuk has drawn a quarter of his career walks in the most recent 7% of plate appearances. Obviously, it’s too soon to say anything for certain, but it’s incredible we’re even here in the first place.

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My Best Guess at Chris Archer

Chris Archer isn’t where he wants to be. He’s made four starts this season — in two of them, he’s allowed three runs, and in the other two of them, he’s allowed six runs. One of the especially bad starts came Wednesday, and now Archer stands with baseball’s fifth-worst ERA, and baseball’s sixth-worst FIP. Archer so far has been mostly dismissive of his struggles, but given how he also ended last year on a pretty flat note, fans are paying close attention. By no means would concern be unwarranted.

One certainly shouldn’t be too concerned. This is something we can say without even going too deep. While Archer has some ugly numbers, he also has a top-20 xFIP, owing to his high rate of strikeouts. The stuff is still there, for the most part. And while there have been too many hits, Archer hasn’t shown any decline in contact rate. It’s still not easy to get the bat on the ball, and as long as Archer is getting whiffs, he stands a good chance of getting straightened out.

You just can’t say this has all been nothing. Archer himself would tell you he hasn’t executed. Not with sufficient consistency. He hasn’t located the ball like he’d like to, and that’s made him vulnerable. When the location goes, you can blame something physical, or you can blame something mechanical. I trust that Archer is healthy, so I’m thinking about mechanics. And I do have a guess at what’s been wrong. To repeat: this is a guess! I am not Chris Archer, and we’ve never even emailed. If we’ve ever been in the same room, I sure as shoot didn’t notice. What follows is just one thing I have noticed. Put however much stock in this as you want.

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2015 Relief Pitcher Ball-in-Play Retrospective – NL

Over the last few weeks in this space, we’ve conducted ball-in-play based analyses of position players’ and starting and relief pitchers’ 2015 performance. Last time, we considered AL relievers. Today we’ll present the last installment of this series, focusing on NL relief pitchers. It’s admittedly a little dicey to evaluate relief pitchers in this manner. The sample sizes are much smaller, and filled with more noise. Still, it’s a worthwhile exercise that can show us the different ways in which closers, set-up men, et al, get it done.

First, some background on the process. I identified the 214 relief pitchers from both leagues who yielded the most batted balls in 2015, making sure that all team save leaders were included in the sample. From that group, I selected 28 pitchers from each league for further scrutiny. Pitchers are listed with their 2015 league mates; those who were traded during the season will appear in the league in which they compiled the most innings. Pitchers are listed in “tru” ERA order. For those who have not read my previous articles on the topic, “tru” ERA is the ERA pitchers “should” have compiled based on the actual BIP frequency and authority they allowed relative to the league. Here we go:

Relief Pitcher BIP Profiles
AVG MPH FB/LD MPH GB MPH POP% FLY % LD% GB% ADJ C K% BB% ERA- FIP- TRU-
Jansen 88.07 91.64 86.56 7.4% 46.3% 11.1% 35.2% 85 40.0% 4.0% 64 56 43
Kimbrel 89.42 92.05 86.82 3.9% 30.5% 19.5% 46.1% 62 36.4% 9.2% 69 70 45
A.Chapman 83.53 86.39 79.65 8.1% 33.0% 21.8% 37.1% 83 41.7% 11.9% 41 49 51
Storen 87.16 90.47 84.11 5.1% 32.6% 23.9% 38.4% 75 29.4% 7.0% 87 73 58
AJ.Ramos 86.80 90.72 82.82 4.4% 35.9% 16.4% 43.4% 76 31.4% 9.4% 59 80 60
W.Smith 88.72 91.15 88.36 1.4% 37.5% 15.3% 45.8% 91 34.5% 9.1% 67 61 63
Romo 84.14 90.03 80.39 4.1% 27.6% 23.4% 44.8% 95 30.9% 4.4% 83 53 64
Strop 89.71 90.49 89.35 4.6% 24.3% 19.7% 51.3% 74 30.0% 10.7% 74 81 64
Kelley 88.13 92.83 85.75 4.9% 33.0% 19.4% 42.7% 88 30.7% 7.3% 66 67 66
Melancon 87.99 92.05 85.13 3.3% 19.3% 19.8% 57.5% 73 21.2% 4.8% 59 75 66
Benoit 83.22 90.00 77.46 4.3% 32.1% 17.3% 46.3% 69 24.8% 9.1% 63 98 66
Dyson 88.41 91.73 87.26 1.9% 12.5% 16.8% 68.8% 73 23.0% 6.8% 66 76 67
Familia 86.23 90.18 85.06 2.5% 19.1% 20.1% 58.3% 90 27.9% 6.2% 50 71 69
R.Delgado 84.95 89.42 82.25 5.7% 35.0% 18.0% 41.2% 67 23.7% 10.7% 80 97 69
H.Rondon 87.60 89.05 85.96 1.6% 25.6% 20.4% 52.4% 84 24.6% 5.3% 43 69 70
Maurer 84.09 88.76 78.90 4.7% 25.5% 22.1% 47.7% 68 18.9% 7.3% 81 86 70
Fr.Rodriguez 85.64 89.08 82.26 2.1% 27.9% 23.6% 46.4% 97 28.7% 5.1% 55 72 71
Grilli 87.98 91.56 82.00 5.9% 41.2% 25.9% 27.1% 104 32.1% 7.1% 76 57 73
Rosenthal 87.76 91.57 87.65 4.5% 30.5% 19.2% 45.8% 93 28.9% 8.7% 55 63 74
Ziegler 88.89 89.20 88.51 0.5% 13.1% 13.6% 72.8% 65 13.7% 6.5% 45 89 75
Papelbon 88.57 90.98 89.24 2.8% 32.2% 15.3% 49.7% 95 21.5% 4.6% 54 95 81
Giles 88.55 90.67 87.58 2.2% 31.1% 21.9% 44.8% 107 29.2% 8.4% 46 54 82
Casilla 86.68 92.23 81.26 2.6% 27.1% 23.9% 46.5% 102 25.4% 9.4% 77 100 89
Nicasio 85.93 89.70 82.34 2.5% 29.3% 24.8% 43.3% 94 25.0% 12.3% 103 74 90
Jeffress 86.72 89.96 84.98 0.0% 18.0% 23.8% 58.2% 109 23.5% 7.7% 65 80 95
Cishek 86.47 90.89 83.03 0.6% 31.5% 21.8% 46.1% 98 19.8% 11.1% 92 102 103
Axford 91.65 93.10 91.09 1.3% 25.8% 16.8% 56.1% 120 24.8% 12.8% 92 85 112

First, a little background. The larger group of 214 relievers had a cumulative strikeout rate of 22.2% and walk rate of 8.2%. Both rates are higher than the comparable marks for starters (19.8% and 7.0%, respectively). The larger group of relievers also conceded less authoritative contact than starters, allowing lesser overall (88.02 mph for relievers, 88.46 mph for starters), FLY/LD (91.24 vs. 91.78) and grounder (85.76 vs. 86.30) authority. With regard to BIP frequency, relievers outpaced starters in the key grounder-rate category by 45.6% to 45.2%, and matched them in pop-up rate (3.2%).

The subset of relievers listed above generally represents the cream of the relief crop. Most of the column headers are self-explanatory, including average BIP speed (overall and by BIP type), BIP type frequency, K and BB rates, and traditional ERA-, FIP-, and “tru” ERA-. Each pitcher’s Adjusted Contact Score (ADJ C) is also listed. Again, for those of you who have not read my articles on the topic, Unadjusted Contact Score is derived by removing Ks and BBs from opposing hitters’ batting lines, assigning run values to all other events, and comparing them to a league average of 100. Adjusted Contact Score applies league-average production to each pitchers’ individual actual BIP type and velocity mix, and compares it to league average of 100.

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KATOH Projects: Super Deep Sleeper Prospects

There’s a lot of info out there on a lot of prospects these days. Lead prospect analyst Dan Farnsworth has published detailed organizational lists for all 30 teams that typically run more than 30 deep. Similarly, Baseball America’s 2016 Prospect Handbook profiles the top 30 prospects in each organization.

However, each organization has far more than 30 or 40 players in its minor-league ranks. Using my KATOH projection system, I attempted to find the best of the rest. I’ve identified the players with the most promising statistical profiles who were omitted both from Dan’s organizational list and Baseball America’s organizational top-30 list. These are the players about whom no one is talking.

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Tyler White Already Looks For Real

Possible headline from 2013: Tyler White Is Mashing

Possible headline from 2014: Tyler White Is Mashing

Possible headline from 2015: Tyler White Is Mashing

Possible headline from right now: Tyler White Is Mashing

The best rookie hitter in baseball this year has not been Trevor Story. The best rookie hitter in baseball this year has been Tyler White, by nearly 60 points of wRC+ over Story. Maybe you haven’t heard about him as much because his last name doesn’t make for a convenient headline, but it’s happened. Tyler White is mashing, just like he has at every single level at which he’s played.

Despite that, less than a month ago, right before the start of the regular season, I wrote a post tossing some cold water on the White hype train after he’d won the Astros’ first-base job out of Spring Training. It’s not that I didn’t want to believe White could continue his mashing ways. I naively want to believe every player can succeed. It’s just that I’d found some historical precedent that compelled me to believe White’s skill set wouldn’t do a great job translating.

A brief recap of the aforementioned post: White is a first baseman, one who has typically relied moreso on controlling the strike zone for his minor-league success rather than hitting for great power. To determine the implications of that sort of profile, I looked at the historical precedent of first baseman who entered the league with plus walk and strikeout rates but below-average power, and found that those types of guys typically have had trouble translating. It’s a skillset that’s fine for a player who offers defensive and base-running value, but without more pop, these types of guys have had trouble sticking at first base at the major-league level. The article concluded as such:

From this one method of evaluating things, he looks like a good major-league hitter, just maybe not for a first baseman, and one whose approach works better in the minors without additional power. Then again, the next time he fails to exceed expectations with the bat will be the first.

Well. He’s exceeding expectations again. And it’s because he’s hitting for power. In 15 career major-league games, White’s already hit five homers, after having never hit more than eight at any one minor-league level, or more than 15 in any one minor-league season. His .380 isolated slugging percentage is top-five in baseball.

Now, of course, it’s been two weeks. You’ve already had that thought at least three times while reading this article. The projections already view White a bit differently, but, because it’s only been two weeks, not too differently. ZiPS has bumped his estimated true-talent ISO from .130 to .151. Steamer went from .149 to .156. The rest-of-season projections haven’t changed drastically, but the rest-of-season projections are never going to change too drastically after just two weeks. What has changed drastically is the updated projections.

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Marco Estrada on Spin, Speed Differential, and Simplicity

Marco Estrada is notable in several respects. The 32-year-old Blue Jays right-hander has elite spin rate and perceived rise on his four-seam fastball. He also has a bugs-bunny changeup; last year, the speed differential between his heater and his change was the most extreme among qualified pitchers. His BABIP is routinely well below average.

He’s also coming off a career-best season. Estrada made 28 starts for Toronto in 2015 and logged a 3.13 ERA. If the W-L column interests you, he finished 13-8.

The erstwhile National and Brewer has made a pair of starts so far this season, both against the Red Sox. He discussed his signature offerings, and his keep-it-simple approach, following the second of the two outings.

———

Estrada on emerging as a front-line starter: “I added a pitch — I added a cutter — and I think that’s helped me out a lot. My mindset has completely changed. But… I get that all the time. People act like I’ve never done this before. If you look back to 2011, 2012, 2013, those were good seasons. Everybody seems to remember 2014, which was my worst season. Then I followed that up with my best season.”

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The Case for Noah Syndergaard as Baseball’s Best Pitcher

Any half-decent statistical analysis will tell you that Clayton Kershaw is the best pitcher in baseball. This is just about inarguable. Kershaw has pitched at an unbelievable level, and he’s been able to do it for an unbelievable amount of time. He has the peak and the track record, so while there have been other great pitchers, there aren’t any Kershaws, by the numbers. This is why Kershaw gets the best projections. Projections are our statistical measures of true talent, and Kershaw’s talent is alone by itself.

I know, I know, Jake Arrieta. And, yeah, I know, Chris Sale, and Jacob deGrom, and so on. I mean no disrespect to anyone else. Kershaw has just had the strongest argument, so I’m using him here as the point of comparison. Because, you see, we have a new potential contender. We’ve all noticed Noah Syndergaard, and people are starting to ask questions. I see it on Twitter. I saw it in Dave’s most recent FanGraphs chat. I heard it on the Effectively Wild podcast. The big question, which seems absurd but improbably isn’t: is Syndergaard now better than Kershaw? Is Syndergaard suddenly the best?

Let me be straight with you: I haven’t decided. Part of me thinks it’s stupid to even consider. The rest of me thinks we could be on to something. At least, Syndergaard does have a real argument. I’m going to lay it out below as I try to talk myself through the issue.

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What’s Up With Greinke’s Slider?

Zack Greinke goes to the mound today after giving up 13 runs in his last three starts, something he didn’t do at all last year. So we’re all trying to diagnose him. He is, too. We couldn’t figure it out together, really. Sorry to spoil the ending.

The slider is getting hit hard. Of his pitch types, it has the second-worst exit velocity so far this year, and it’s suffered the most from last year to this year.

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KATOH Projects: Washington Nationals Prospects

Previous editions: Arizona / Atlanta / Baltimore / Boston / Chicago AL / Chicago NL / Cincinnati  / Cleveland / Colorado / Detroit / Houston / Kansas City / Los Angeles (AL) / Los Angeles (NL)Miami / Milwaukee / Minnesota / New York (AL) / New York (NL)  / Oakland / Philadelphia / Pittsburgh / San Diego / San Francisco / Seattle / St. Louis / Tampa Bay / Texas / Toronto.

Yesterday, lead prospect analyst Dan Farnsworth published his excellently in-depth prospect list for the Washington Nationals. In this companion piece, I look at that same DC farm system through the lens of my recently refined KATOH projection system. The Nationals have the 16th-best farm system in baseball according to KATOH.

There’s way more to prospect evaluation than just the stats, so if you haven’t already, I highly recommend you read Dan’s piece in addition to this one. KATOH has no idea how hard a pitcher throws, how good a hitter’s bat speed is, or what a player’s makeup is like. So it’s liable to miss big on players whose tools don’t line up with their performances. However, when paired with more scouting-based analyses, KATOH’s objectivity can be useful in identifying talented players who might be overlooked by the industry consensus or highly-touted prospects who might be over-hyped.

Below, I’ve grouped prospects into three groups: those who are forecast for two or more wins through their first six major-league seasons, those who receive a projection between 1.0 and 2.0 WAR though their first six seasons, and then any residual players who received Future Value (FV) grades of 45 or higher from Dan. Note that I generated forecasts only for players who accrued at least 200 plate appearances or batters faced last season. Also note that the projections for players over a relatively small sample are less reliable, especially when those samples came in the low minors.

*****

1. Trea Turner, SS (Profile)

KATOH Projection: 8.8 WAR
Dan’s Grade: 60 FV

Turner scuffled in his first taste of big-league action last year, but previously did a bang-up job in the minors. Speed is Turner’s calling card, but he also showed a decent amount of power when he popped eight homers in the minors. Turner’s high-ish strikeout rates are a bit concerning, but his overall offensive package is extremely promising for a shortstop.

Trea Turner’s Mahalanobis Comps
Turner Name Proj. WAR Actual WAR
1 Wilton Guerrero 7.7 0.5
2 Alcides Escobar 7.6 10.4
3 Jhonny Peralta 6.8 11.4
4 Alex Gonzalez 8.1 8.3
5 Joe Thurston 8.5 0.0
6 Todd Walker 9.0 2.4
7 Asdrubal Cabrera 11.6 13.3
8 Troy Tulowitzki 7.6 28.6
9 B.J. Upton 11.0 22.4
10 Jose Ortiz 7.7 0.3

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Kenta Maeda’s Slider and the Chase for Valenzuela’s Record

We’re left to wonder how players who have established careers in international leagues will fare when they first reach the major leagues: some never find the same level of production they had overseas, others endure a tough adjustment period, and a precious few immediately take to their new surroundings. From what we’ve seen of Kenta Maeda so far, he appears as if he could be a member of that final group: with only one earned run conceded in 19.0 innings over his first three starts of 2016, Maeda has been every bit of the solid #2/#3 starter the Dodgers envisioned slotting behind Clayton Kershaw. Maeda is also quietly echoing the success of another rookie Dodger starter who came before him, one whose consecutive string of successes to start the season led to the receipt both of the Rookie of the Year and Cy Young awards in the same season — and caused a sea change in Dodgers’ fandom while doing it.

There are a few interesting trends that have been driving Maeda’s success in this young season. While he’s posting a slightly depressed BABIP (.250) compared to league average, his batted-ball profile so far suggests that might not be a fluke: his line-drive rate is in the top 25 of starters with at least 10 innings pitched, and he’s posted above-average ground-ball and infield-fly rates. The 100% strand rate won’t stick, and the 5.9% HR/FB rate likely won’t either, but there’s at least some encouraging signal in this noise. We already had an idea that Maeda’s walk rate was going to be better than average, and he hasn’t disappointed in that respect, issuing free passes to just 5.5% of batters faced.

It’s Maeda’s unique approach that warrants the most attention, however. Last December, our own Eno Sarris tried to find a comp for Maeda, and he included this snippet in his breakdown:

Maeda’s best secondary is a slider, and his next-best is probably also his slider (he varies the velocity and shape). Against righties this year [2015], Maeda was almost 95% fastball/slider according to some observers.

In 2016, Maeda has lived up to that billing. He’s thrown his slider almost 30% of the time overall, and against righties, the mark is 41.2%. He can alternate between a 79 mph offering with increased vertical movement, like this:

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