Archive for Player Analysis

The Mariners Need to Help Robinson Cano Help Himself

The struggles of Robinson Cano in 2015 have been talked about frequently, especially as the Mariners’ struggles continue. Recently, Mariners hitting coach Howard Johnson suggested that Cano is pressing at the plate. Cano disagreed with the assessment, but the numbers back up Johnson.

The good news is that when Robinson Cano is making contact, it’s been pretty good. Cano is hitting the ball harder than he has over his career. His hard hit percentage is 35.2%, compared to his career 32.9% mark.  The 24.4% of line drives on batted balls would be the third highest mark of his career, exceeding his 21.4% career average.

The bad news is where Cano is hitting the ball.  Cano is hitting out of character. In particular, Cano has had some difficulty, or aversion, to hitting the ball to the opposite field. The chart below shows Cano’s 2015 batted-ball locations and his career batted-ball locations.

Contact Location Pull% Cent% Oppo%
2015 38.6% 42.0% 19.3%
Career 37.5% 35.7% 26.8%

This is a big issue because he is muting his best hitting ability. Cano is a .369 hitter when hitting the ball to the opposite field. Last year he hit .417 when going the opposite way; in 2013 he hit .455. This year he is hitting .303, but he is not giving himself the opportunities to take advantage of the success that has been consistent throughout his career and stellar in his most recent seasons.

The impact of this shift can be displayed by taking Cano’s 174 plate appearances in which he has not walked or struck out, and allocating the results of where the ball is hit by his career average Pull%, Center%, and Oppo%. I then applied his career batting averages for the batted ball location to those figures.

Batted Ball Location Career Batted Ball Location Averages Batted Ball  Location At Bats Ending in Batted Ball Loaction Career Batting Average in Batted Ball Location Projected Hits in Batted Ball Location
Pull 37.5% Pull 65 .327 21
Center 35.7% Center 62 .370 23
Opposite 26.8% Opposite 47 .369 17

The following would be the resulting average on batted balls, batting average, and on-base percentage based upon Cano’s 40 strikeouts and 12 walks:

Average on Batted Balls 0.354
Batting Average 0.290
On Base Percentage 0.327

These numbers are good, but they are still not remarkable, and they don’t look like the numbers we would expect from Cano.

This leads to Cano’s second issue: increased strikeouts. Cano’s 17.5% strikeout rate is well above his career average of 11.2%.

The Baseball Info Solutions Plate Discipline data shows two figures that stand out. (1) Cano’s Contact% is down 3.9% from his career average and (2) Cano is seeing 5.4% more first-pitch strikes than he has over his career.

Contact% F-Strike%
2015 82.7% 65.9%
Career 86.8% 60.5%

Lets start with the second figure. This is nothing Cano has control over and the cause is almost certain to be the presence of Nelson Cruz behind him in the lineup. But how can Cano adjust to this? He’s a batter that’s used to being pitched carefully, particularly last year, when he was a hitting oasis in the desert that was the Mariners’ lineup.

The first figure, Cano’s drop in Contact%, may be tied back to where this article started and the point mentioned above: hitting approach and batting count. Cano has performed pitifully when facing sliders and changeups this year, two pitches he has handled well over his career (see the chart below displaying Baseball Info Solution’s runs above average/100 pitches for each pitch type Cano has faced). This makes sense if he is seeing pitches behind in the count, and if he is aggressively seeking to pull the ball, for additional power; to be worth $24 million a year, or whatever reason that may be causing the change in hitting approach.

wFB/C wSL/C wCT/C wCB/C wCH/C wSF/C wKN/C
2015 -0.44 -1.71 -1.46 1.92 -4.07 3.67 -4.66
Career 0.65 1.58 -0.3 1.65 1.65 1.65 0.66

Howard Johnson is probably right. Robinson Cano is pressing. Cano needs to approach at-bats like he has his whole career and he’ll see a return to what we would expect from Robinson Cano. However, the Mariners can make it easier on him by changing up the order. Maybe Cano isn’t a hitter that thrives on being pitched to. It may benefit the Mariners to swap Cruz and Cano in the order. While Cruz has been great, the Mariners and Cano have been the opposite. A change couldn’t hurt.

But first, Robinson Cano needs to accept the hitter he is, because that hitter is very good.


Selling David Price

I’ve been thinking about this one a lot, and I think people in general still view Price as a top-10 pitcher. I’ve seen him appearing in expert lists as such, and that’s the general vibe I’ve gotten from the fantasy community. I just think top-10 at this point is too high, especially when we’ve got such talented young stars ranked below him, both according to the expert lists and public perception (I’m talking about guys like Archer, deGrom, and Cole).

I’d actually have him closer to top 20-25 at this point (there are so many great pitchers). His K/9 has plummeted to 7.6 and K-BB% has fallen nearly nine percentage points to 14.3%.

At 14.3%, David Price is the No. 39 pitcher in the league in K-BB%.

Am I putting too much stock into a small sample, or has the decline begun, but people haven’t realized it yet (he still sports a solid 3.15 ERA)?

His peripherals also support his regression, as his xFIP is 3.94 and SIERA is 3.87.

Encouraging signs: FIP still has him at 3.27. Swinging strikes are similar to last year at 10.4% (only 0.2% difference). No velocity loss — in fact, his fastball is faster this year than last year.

Over his career, however, Price has been only slightly better than average at giving up/suppressing home runs, so I think xFIP and SIERA are the better ERA estimators than FIP. League average HR/FB is 10.8%, and Price was at 9.7% last year, 8.6% in 2013, 10.5% in 2012. So he may be slightly better than average, but unlikely to maintain 6.6% going forward.

It’s also worth noting that last year’s 9.8 K/9 was a career high. In 2013, he had a 7.3 K/9. From 2010-2012 his K/9 hovered in the 8s (and in 2008 and 2009 his K/9 was also sub-8, although I don’t give any weight to that at all as he was still developing as a pitcher). It could be that his high K/9 last year was an aberration.

I’m choosing to give weight to his current K-rate and peripherals (the sample size is now significant), while accounting for some improvement (this is David Price after all). Doing that, by my rough calculations, I’m looking at about a 3.5+ ERA ~8 K/9 pitcher going forwards.

Those are quality numbers, but not top-10 numbers, which is where people still value him. I’d flip Price for any top-20 pitcher with upside in an instant.

I don’t have an answer as to why the K-rate has plummeted so far. I did take a look at his usages, and he seems to have reduced the usage of his two-seam fastball. His entire career, that has been his most-used pitch. Last year he used it 40%. This year, he’s only throwing it 23% of the time, instead favoring a four-seam fastball as his dominant pitch. I believe this *may* be related to his K-rate drop, but it’s just an observation at this point. Regardless, we’ve reached the point in the season where it might be wise to be proactive.


Using Batted-Ball Data to Measure Hitter Performance

Imagine a batter hits a long fly ball that’s destined for the right-field seats only for the outfielder on the other team to clear the wall and rob him of his home run. In traditional stat sheets, this is treated the same way as any other out and there’s no real way of distinguishing that from a dribbler down the third-base line. But intuitively we know that these are two very different things, and a batter who does more of the first is going to end up being more valuable than one who does more of the second. Thus, if we wanted to truly measure how well a player has performed, we need to separate the performance from the results. The best way of doing that is to break down a batted ball in the most granular way possible and look at the average performance for similar batted balls, and today I’ll reveal a personal tool to do this. This work was inspired by Tony Blengino’s terrific posts on batted-ball data, and I suggest reading his introductory post as background on the theory and methodology that I employ.

This tool uses information on the type, velocity, direction, and distance of a hitter’s batted balls to calculate an expected AVG, OBP, and SLG for him. It divides batted balls into buckets based on the type (GB, FB, LD, PU) and either the direction and velocity or the direction and the distance and calculates the resulting AVG and SLG for all batted balls that meet that criteria. It then goes through all of a batter’s plate appearances and uses these data to calculate both the observed and expected AVG/OBP/SLG for each PA. The table below shows the top 30 hitters by Expected wOBA (xwOBA) as of 5/26/2015.

Name AB PA Velocity AVG OBP SLG wOBA wRAA xAVG xOBP xSLG xwOBA xwRAA
Bryce Harper 151 191 89 0.331 0.471 0.722 0.505 29.1 0.298 0.445 0.650 0.467 23.3
Miguel Cabrera 164 195 93 0.341 0.446 0.610 0.453 21.7 0.304 0.415 0.665 0.457 22.3
Prince Fielder 182 199 93 0.363 0.417 0.571 0.425 17.7 0.349 0.404 0.640 0.443 20.5
Mike Trout 168 194 92 0.298 0.392 0.548 0.404 14.0 0.321 0.412 0.615 0.438 19.3
Anthony Rizzo 161 197 88 0.311 0.437 0.565 0.433 18.7 0.304 0.431 0.589 0.438 19.6
Ryan Braun 154 173 94 0.266 0.347 0.532 0.376 8.7 0.298 0.375 0.661 0.436 16.9
Paul Goldschmidt 160 190 93 0.338 0.442 0.631 0.459 22.0 0.290 0.402 0.615 0.433 18.1
Adrian Gonzalez 158 179 89 0.342 0.419 0.620 0.443 18.5 0.322 0.401 0.614 0.432 16.9
Todd Frazier 164 187 92 0.256 0.348 0.549 0.382 10.4 0.304 0.390 0.620 0.429 17.2
Yasmani Grandal 104 124 95 0.288 0.403 0.462 0.379 6.6 0.310 0.421 0.574 0.428 11.3
Brandon Crawford 151 170 93 0.298 0.376 0.510 0.383 9.5 0.316 0.393 0.608 0.426 15.2
Brandon Belt 139 156 93 0.302 0.378 0.496 0.379 8.2 0.316 0.391 0.606 0.424 13.8
Nelson Cruz 170 186 92 0.341 0.398 0.688 0.456 21.2 0.295 0.356 0.654 0.423 16.3
Alex Rodriguez 146 170 94 0.260 0.365 0.541 0.388 10.2 0.283 0.384 0.612 0.423 14.9
Joc Pederson 146 179 95 0.247 0.385 0.548 0.401 12.6 0.257 0.394 0.592 0.421 15.4
Mark Teixeira 147 177 87 0.231 0.362 0.551 0.390 10.9 0.281 0.402 0.560 0.414 14.2
Hanley Ramirez 158 170 94 0.259 0.312 0.468 0.336 3.2 0.318 0.366 0.590 0.406 12.6
Stephen Vogt 131 155 87 0.298 0.406 0.580 0.423 13.5 0.283 0.394 0.544 0.404 11.2
Cameron Maybin 109 126 92 0.248 0.349 0.404 0.332 2.0 0.304 0.398 0.537 0.403 9.0
Jose Bautista 133 165 92 0.211 0.364 0.444 0.353 5.4 0.252 0.397 0.530 0.401 11.5
Josh Reddick 153 170 90 0.314 0.382 0.536 0.395 11.1 0.302 0.372 0.561 0.399 11.6
Brian Dozier 174 196 90 0.247 0.332 0.494 0.355 6.6 0.284 0.365 0.572 0.399 13.4
Adam Jones 167 178 91 0.311 0.354 0.479 0.360 6.8 0.319 0.361 0.571 0.397 11.9
Freddie Freeman 169 188 92 0.302 0.372 0.485 0.372 8.9 0.304 0.375 0.553 0.397 12.6
Giancarlo Stanton 174 198 97 0.230 0.323 0.500 0.353 6.4 0.249 0.340 0.598 0.396 13.1
Matt Carpenter 165 184 91 0.321 0.391 0.582 0.416 15.0 0.293 0.366 0.557 0.394 11.9
Eric Hosmer 171 192 91 0.310 0.385 0.520 0.391 11.9 0.306 0.382 0.534 0.394 12.4
Lucas Duda 161 186 92 0.292 0.387 0.491 0.381 10.2 0.285 0.381 0.536 0.394 12.1
Mark Trumbo 144 152 93 0.264 0.303 0.507 0.345 3.9 0.298 0.335 0.600 0.394 9.8
Corey Dickerson 111 117 90 0.306 0.342 0.523 0.370 5.3 0.317 0.352 0.573 0.393 7.4

The tool uses the velocity and direction, rather than the distance and direction, of a batted ball to calculate the expected values with a few exceptions. If the velocity is not available for a fly ball or a line drive, it uses the distance and the direction of the batted ball to calculate the expected values. If the velocity of the batted ball is not available for a ground ball, the tool assumes it was of average velocity and only considers the direction it was hit when calculating the expected values. It does not consider distance for ground balls, as the distances are calculated using where the ball was fielded, so using distance would be describing what actually happened rather than what we expected to happen. For all line drives and fly balls hit over 375 feet it uses distance and direction rather than velocity and direction. The reason for this is that I do not have information on the hang time of batted balls, and in going through the data I found that fly balls and line drives that traveled over 375 feet but weren’t hit very hard were being severely underrated by the tool. As an example of the underlying data, the table below shows the reference data for fly balls hit to center field.

TYPE Velocity Range (MPH) Direction Range (90=CF) AVG OBP SLG
FB 105 150 85 95 0.732 0.732 2.511
FB 100 105 85 95 0.314 0.314 0.931
FB 97.5 100 85 95 0.082 0.082 0.247
FB 95 97.5 85 95 0.023 0.023 0.047
FB 92.5 95 85 95 0.000 0.000 0.000
FB 90 92.5 85 95 0.010 0.010 0.038
FB 87.5 90 85 95 0.025 0.025 0.063
FB 85 87.5 85 95 0.000 0.000 0.000
FB 80 85 85 95 0.020 0.020 0.050
FB 75 80 85 95 0.056 0.056 0.070
FB 70 75 85 95 0.220 0.220 0.231
FB 65 70 85 95 0.583 0.583 0.590
FB 60 65 85 95 0.145 0.145 0.145
FB 55 60 85 95 0.073 0.073 0.073
FB 0 55 85 95 0.073 0.073 0.073

I’m providing a link to a Google Sheets document with a leaderboard for all qualified batters, along with leaderboards broken down by each batted ball type. The document also contains a reference page that contains all the information for how batted balls performed in each bucket based on 2015 StatCast data for velocity references and 2014-2015 MLBAM data for distance references. The numbers in the reference page will continue to be updated as more data becomes available from StatCast. Feel free to look through this section and point out any inconsistencies you may see, and note that all data comes from BaseballSavant.

I’ve also provided a Methodology Example in the document so you can dig through what the behind the scenes data looks like as it’s being processed. Note that you may see some discrepancies in a player’s actual AVG seen here and his AVG seen elsewhere, as I treat sac flies as regular outs. The “Notes” tab gives a general outline of the procedure, and also contains a link to an Excel sheet that you can download to perform these calculations on your own.

https://docs.google.com/spreadsheets/d/1-XohbJlWIceDS2Rc8_7-rOxv9avU3IwMCecPkUNxlYU/edit?usp=sharing

Before I wrap up, I should also mention the limitations. It’s been noted elsewhere on FanGraphs that the StatCast data isn’t always completely accurate. Also, the tool currently doesn’t incorporate a player’s speed in any way, so guys like Dee Gordon are going to be fairly underrated in terms of their ground ball performance. I’ve been brainstorming ways to incorporate this and am open to any input you may have. Furthermore, I’ve noticed the tool can be pretty stingy with labeling balls as pop-ups and occasionally pretty generous with labeling them as line drives. I’ve noticed some fly balls with velocities over 95 MPH that only traveled 300 feet, indicating they were hit almost straight up in the air. Unfortunately, without data on the vertical angle of the ball off the bat or on the hang time of the ball in play, it will be difficult to fix this issue.

Even with these limitations, the tool works extremely well at determining how well guys have been hitting the ball and identifying who has been helped or hurt by factors beyond their control. Take the time to dig through the data and the code and point out areas for improvement, and I’ll incorporate them in future versions.


Joc Pederson’s Plate Discipline

Joc Pederson: your leading runner for rookie of the year. Pederson started off at the beginning of the year in the bottom half of the order and was mashing the ball with authority. Don Mattingly had us all scratching our heads when he refused to bat Joc Pederson first in favor of the aging Jimmy Rollins. But after tremendous production from Pederson and lack thereof from Rollins, Mattingly finally made the switch.

Batting mostly from the bottom of the order in March and April, Pederson walked at an ungodly 22.1% and batted his way to an inflated .406 BABIP en route to a .440 wOBA. His strikeout sat at an ugly 28.6% but with his walk rate also in the 20’s, it balanced out nicely.

Upon his move to the leadoff spot, Pederson has gotten very aggressive. His walk rate has plunged, and his strikeout rate has increased; sitting at a 12% and 30%, respectively. Despite these negative trends,  Joc has adjusted nicely and is still hitting the ball with authority… against righties. All of 12 of his home runs have come off of righties and he has compiled a total of 19 extra-base hits against them. Against lefties, Pederson has only collected one extra-base hit, a double off of Madison Bumgarner on 5/21, and has walked only once. Given these struggles, Joc has hit a bit of snag lately dropping his average tremendously and has neutralized his BABIP a bit. He has hit for the occasional home run but that’s about it.

Is it time to panic? Absolutely not, Joc is a rookie and has only 35 plate appearances against lefties, making it a small sample size. He’s raised his average against lefties above .200 at the end of May suggesting he is starting to adjust. However, for those who own Pederson, be aware he is young and is still going through the growing pains of being in the majors. Continue to send him out in your lineups, but be aware that the production he had in the bottom order may not continue through the year in the leadoff unless he adjusts. Given his talent, that’s certainly possible.


Concerns About Polanco

Gregory Polanco has been one of the most talked-about Pirates prospects in recent years. Baseball America rated him #51 and #10 respectively in 2013 and 2014 rankings. Moreover, prior to the 2015 season, Jayson Stark wrote an article for ESPN entertaining the idea that the Pirates may have the best outfield in baseball with Gregory Polanco, Andrew McCutchen and Starling Marte.

When Polanco came up in June of 2014, the budding 22-year-old looked like the future McCutchen. With a home run in his first at-bat and a strong slash line in his first month (.288/.374/.375), Polanco looked like the real deal. After a few weeks of success, his game leveled out. Most writers attributed his downfall in the latter half of the 2014 season to the fact that he had played 127 games in 2013, then went to Winter Ball, and followed that up with 158 games in 2014. And there may be some truth to that.

Fully rested, Polanco came into the 2015 season with high expectations. To this point, his fielding has been stellar: he is tied for 1st amongst all right fielders with Giancarlo Stanton in UZR at 3.6 and is in sole possession of 1st in DEF at 2.0.

He is definitely holding up on his defensive abilities, but to this point, his offense has been underwhelming. His OPS has dropped from .650 in 2014 to an abysmal .626 in 2015. Thus far, he has only hit one home run on the season and driven in just 12 runs. The gleam of light in his offensive game has been his work on the base paths. Stealing 40 bags in A-ball in 2012 and then a combined 38 from A+, AA, and AAA in 2013, Polanco was projected to be a speedster, but his decline from there seemed alarming. He stole only 14 bases in 19 attempts in 2014 for the Pirates, but is already close to eclipsing that mark. Polanco is 12 for 14 in steal attempts this year, and in most cases is doing so based on good reads and strong jumps rather than on speed alone.

Most casual fans appreciate the defense and see the potential as a real threat on the base paths, and simply hope that he shows more pop as he matures at the plate. But there are also other warning signs with Polanco. He was to work on his plate discipline this year, but his walk rate has actually lowered from 9.6% to 8.9% and his strikeout rate has risen from 18.9% to an unsightly 22.6%. Especially if he will not produce power numbers, these numbers are trending in the wrong direction.

I started thinking back to other Pirates who were young and showed promise only to become mediocre players, and then I found this.

Each through 131 Career Games:

Player A: .286/ .341/ .386 – 26 doubles; 7 home runs; 41 RBIs; 44 walks; 28 stolen bases

Player B: .235/ .306/ .336 – 19 doubles; 8 home runs; 45 RBIs; 45 walks; 26 stolen bases

Player B is obviously Gregory Polanco, and player A is Jose Tabata.

In no way am I saying that Polanco will fall in the footsteps of the powerless Tabata, but the numbers are eerily similar. With Tabata, writers and fans alike hoped for the same changes: better discipline at the plate, the stolen bases to continue to rise, and the power to follow.

The big difference between Polanco and Tabata is that Polanco is an elite fielder today. Through advanced metrics, it is easier to quantify the impact of guys like Jason Heyward and Alex Gordon, and perhaps that will be the same fate of Polanco. Since 2010, Heyward is ranked 19th and Gordon is ranked 13th in cumulative WAR according to FanGraphs. Defensive impact should not be overlooked.

Polanco is still young, and he has tremendous upside. Even if the power stroke never emerges, he can still be a great player. As the 2015 Pirates season continues, Polanco needs his strikeout rate to drop, his on-base percentage to rise, and to run on a more frequent basis.


What in the World is Going on with James Shields?

Here at FanGraphs, it is gospel to say that a pitcher’s ERA is related to both skill and luck. The skill comes from being able to get batters to swing and miss or to induce weak contact, while limiting walks and home runs. The luck comes from how well the other players defend, and also the sequencing of events. That last element of luck, sequencing, merits a brief conversation.

There is little difference, from a pitcher’s skill point of view, between consecutive hits and hits in separate innings. That is to say, a pitcher’s skill is related to how many hard hit balls he gives up; a pitcher’s luck is related to when those hard hit balls occur. So, ERA is affected by the timing of hits, which we can measure easily using LOB%, which is the percentage of base runners that do not score at the end of an inning. It’s not this simple, but basically, a low LOB% rate means the pitcher has been unlucky, and a high LOB% rate means he has been lucky.

The average LOB% in 2015 so far is 72.4%. James Shields‘ LOB% is 87.8%. This is significant! Seven out of eight runners that reach base on him get stranded! His ERA should be anemic, right? Wrong. His ERA is a respectable 3.74, but this is unexpectedly high given what I have told you so far. Clearly, I haven’t told you everything.

There was concern during the offseason that James Shields’s fly ball tendencies would be problematic in the spacious Petco Park with a highly questionable outfield defensively. I guess his home ballpark isn’t spacious enough, because Shields is allowing a career high 2.28 home runs per nine innings, and 25.5% of the fly balls he surrenders leave the ballpark.

Meanwhile, Shields is also striking batters out at a significantly higher rate than his historical numbers indicate he should be. In fact, Shields is striking out batters at a greater rate than any other qualified starting pitcher (and most unqualified ones too!). Opposing hitters are also swinging and missing against Shields more frequently than any other pitcher, even more than highly sophisticated robot and Rust Cohle impersonator Corey Kluber!

When contact is made against Shields, though, it’s been hard contact. According to our new quality of contact statistics, only three starting pitchers have given up a higher percentage of hard contact than Shields. Batters rarely make contact, but paradoxically, when they do make contact, they’re hitting ropes.

This is confusing, and I don’t know why it’s happening, though I can speculate. Shields picked up a knuckle curve a few years ago, and he’s throwing it this year almost a quarter of the time. He’s a good pitcher, and it’s probably a good pitch, which explains the swinging and missing. However, it’s also a new pitch, and he’s probably also making a fair amount of mistakes, which hitters are taking advantage of.

That all made sense to me until a quick PitchF/X search told me that only one of the dingers off Shields were on curveballs. Back to Square 1; I have no idea why this is happening, and it will probably take someone smarter than me to figure it out, or it’s just a sample size issue.

In conclusion, let’s look back at the definition of LOB%. It measures the amount of batters that are left on base when an inning is over. Shields’s high K% probably helps inflate that LOB%. But, it’s also small sample size, and I’m not talking about early season small sample size (although that is probably also a factor). When a high percentage of hits given up are home runs, there are no runners to leave on base in the first place! James Shields is striking out and walking batters, and giving up home runs, all at a career high rate. And it’s kind of working.


Ian Kinsler’s Walking, Not Running

While the Detroit Tigers’ decision to trade Prince Fielder to the Texas Rangers for Ian Kinsler prior to last season initially came as a shock to Tigers fans, the positive early returns on the trade seemed to provide a calming influence. As I wrote in late April 2014,

Kinsler has provided some real spark, though. Looking at the right side of this graph, you can see that, while he and Prince posted similar batting averages last season, Kinsler has kept the pace this year, but Prince has dropped off sharply with the Rangers.

chart

While Fielder has the edge in on-base percentage, probably due to his ability to draw walks (of the intentional and unintentional varieties), Kinsler’s hitting for more power (.133 ISO vs. .121 ISO) and is posting a better wOBA— a catch-all offensive metric– than Fielder (.319 vs. .277). They also have the same number of home runs (two), with Kinsler driving in nearly twice as many runs as Fielder (14 vs. 8), while stealing three bases (to Fielder’s zero, obviously).

Less than a month later, Prince’s season would be over, a completely understandable side-effect of probably overdue neck surgery.

Kinsler powered right along, though, making 726 plate appearances in a career-high 161 games. His bat seemed to cool off in the second half of 2014 (.353 wOBA vs. .276), but he still managed to finish the season tied with Miguel Cabrera for the title of most valuable Tiger, as determined by fWAR (5.1 fWAR apiece), although much of that was due to Kinsler’s defense (and Cabrera’s lack thereof).

In reviewing last year’s statistics in anticipation of this season, Kinsler’s numbers jumped off the page for one main reason: his walks had disappeared. Read the rest of this entry »


By Request: Mike Trout Facts!

As kind-of-requested in the comments section of a recent Mike Trout-centric article, here are some fun Mike Trout facts!

***all statistics, ages, etc., are as of May 13, 2015***

1. From May 21-24, 2013, Mike Trout had four consecutive multi-hit games. Over that stretch, he went 10-for-17 (.588) with a walk, double, two triples, and two home runs. In the first game of that stretch, Trout hit for the cycle. In this four-game multi-hit streak, Trout accumulated 19 total bases in 18 plate appearances. This was one of Trout’s two career streaks of four consecutive multi-hit games; the other was just a month earlier.

2. Mike Trout has 107 home runs in 526 games, and is still just 23 years old. But Mike Trout did not hit two home runs in the same game until homers #77 and #78.

3. Mike Trout has 107 home runs. If he plays in as many games as did all-time home runs leader Barry Bonds (2,986), and homers at his current rate the whole time, Trout will finish with 607 home runs, good for 9th all time.

4. Mike Trout has 109 steals. If he plays in as many games as did all-time steals leader Rickey Henderson (3,081), and steals at his current rate the whole time, Trout will finish with 638 steals, good for 15th all time.

5. Bearing in mind facts #3-4, this is a complete list of all the players in the top HUNDRED all-time for both home runs and steals: Barry Bonds.

6. Mike Trout has 607 hits in 526 games. If he plays in as many games as did all-time hits leader Pete Rose (3,562), and gets hits at his current rate the whole time, Trout will finish with 4,110 hits, good for 3rd place all time. Rose and Ty Cobb are the only players to ever get more than 4,000 hits.

7. Mike Trout is 23 years, 9 months, and 6 days old, and has 607 hits. At that exact age, Pete Rose had 309 hits.

8. After reaching an 0-2 count, Mike Trout reaches base successfully 27% of the time (career). This year, it’s 35%. Mike Trout’s on-base percentage in 0-2 counts this year is better than the on-base percentages, in all counts, of 29 entire major league teams.

9. Mike Trout has 8 bunt attempts in his career and reached base safely in 4 of 8.

10. In his last three months of regular-season play, the longest Mike Trout has gone without a hit is 2 games.

11. The longest Mike Trout has ever gone without a hit is 4 games. This has happened three times. Two of those three times were in Trout’s first full month in the major leagues, in 2011. He has only done it once in the last four seasons.

12. When he pulls the ball, Mike Trout has a career batting average of .488. When he hits the ball to center, Mike Trout has a career batting average of .443.

13. Give or take a few tenths of a percent, the percentage of balls hit by Mike Trout which are classified as “hard-hit” has increased every year of his career, to 2015’s 41.6%. (That ranks 9th in the MLB this year.)

14. Inside Edge classifies all defensive plays based on whether they are Impossible (0% chance of being made), Remote (1-10% chance of being made), Unlikely (10-40%), Even Odds (40-60%), Likely (60-90%), or Routine (90% chance). Since 2012, Mike Trout ranks 10th on converting Remote chances, 1st on making Unlikely plays, and 9th on converting Even chances.

15. Last year’s two Rookie of the Year winners were, respectively, three and four years older than Mike Trout. Only one of the four Rookies of the Year elected since Trout is younger than he is. (Of course, Bryce Harper, elected at the same time as Trout, is the youngest of all. Harper has yet to face a single MLB pitcher younger than he is. But this isn’t Bryce Harper Facts.)

16. Measured by Wins Above Replacement (WAR), Mike Trout is responsible for 95.8% of the offensive value of the 2015 Angels roster. This is partly because Matt Joyce, C.J. Cron, Drew Butera, and Chris Iannetta have provided negative value by hitting a combined 41-for-270 (.152).

17. Measuring again by Wins Above Replacement (WAR), and bearing in mind that hitters can give their team negative value: in 2013, Mike Trout was more valuable (10.5 WAR) than all the hitters on the Mariners, Marlins, White Sox, and Astros, COMBINED (10.4 WAR).

18. Over 2012-15, Mike Trout is in the top ten players for home runs (#6), triples (#1), hits (#6), stolen bases (#7), batting average (#8), on-base percentage (#2), weighted on-base average (wOBA) (#2), isolated power (#6), batting average on balls in play (#1), and plays made in the outfield (#2).


Rafael Montero Scouting Report

Rafael Montero is one of the New York Mets’ top pitching prospects, and he was given the spot start the other evening against the Mets’ division rival the Miami Marlins.  Montero got the loss after giving up three runs in the sixth but looked sharp striking out six and walking one over 5.2 innings.  Although Montero was sent back to the Mets’ Triple-A affiliate in Las Vegas, he will be back up later this season for bullpen help and will be the first called up to replace any starters that get injured during the long 162-game season.

Positives

Fastball movement and command

Although Montero’s fastball is not overpowering (90-93 mph, topping out at 94 mph), he placed it on both sides of the plate and kept it knee-high throughout his start.  This translated into Marlins hitters taking called strikes early in their at-bats, striking out looking (See first inning Dee Gordon and third inning Adeiny Hechavarria) and a good groundball rate of 48.1% for Montero (50%+ is considered an above-average groundball pitcher).  Montero’s fastball also showed strong arm-side run and sink at 90-93 mph, which projects a continued strong groundball rate in future outings.

Kept pitches down in the zone

Montero kept nearly all of his fastballs and off-speed pitches thigh high or below which resulted in very few hard-hit balls by Marlins hitters.  The only three pitches that were hard hit off of Montero were:

  1. A Gordon fourth inning double on a four-seam fastball that was more a case of Gordon’s ability to hit rather than poor command by Montero.
  2. A Giancarlo Stanton fourth inning line out to Mets third baseman Eric Campbell that was a product of a knee-high and inside two-seam fastball which showed the importance of keeping the ball down in the zone. If that fastball was a bit higher, it could have resulted in either a double down the third-base line or a two-run home run.
  3. A Gordon sixth-inning single (advanced to second on Curtis Granderson fielding error) on a four-seam fastball that was left up in the strike zone. It was one of the few poor pitches left up and over the plate by Montero all night.

Use of slider

After a few appearances last year where Montero threw nearly 80% fastballs, the Mets have pushed him to throw his off-speed pitches more often.  Although Montero only threw 46% of his sliders for strikes last night, he did throw his slider for a strike when he needed to (see sixth inning Stanton 3-1 slider for called strike).  The 46% strike percentage can also be misleading because many of the times Montero threw his slider low and out of the strike zone in an attempt to cause a swing and miss.

Negatives

First-pitch strikes

Analyst that argue first-pitch strikes are overrated due to the small differences in 0-1 and 1-0 batting averages fail to understand that the first pitch of an at-bat will dictate which pitches will be thrown in the following pitches.  This is the reason that every pitching coach in America stresses the importance of first-pitch strikes to their pitchers.

Having said that, Montero did an average job getting ahead of hitters with first-pitch strikes or creating balls in play on the first pitch at a combined rate of 60%.  If Montero wants to become a second or third starter in a rotation, it will be imperative to get the first pitch of the at-bat into the strike zone closer to 75% to 80%.  When Montero does not get ahead of hitters, it is difficult for him to come back in an at-bat from 1-0, 2-0 and 2-1 counts because his off-speed pitches aren’t sharp enough to create many swing and misses.  This will force him to throw more predictable fastballs that will be hit into play harder.

Pitches up in the sixth inning

There were two notable pitches in the sixth inning that led to the Marlins go ahead runs:

  1. The four-seam fastball noted earlier to Gordon that resulted in a line drive single to right field.
  2. A 3-2 fastball to Stanton which resulted in a RBI single to left field.

On both of those fastballs, Montero didn’t get his hand on top of the baseball during his release or more commonly known as “finishing his pitch”.  This causes his four-seam fastball to stay up in the zone and allows his two-seam fastball to come back on a flat plane over the plate as opposed to a sinking plane left to right over the plate.  The reason Montero wasn’t able to finish his pitches well was most likely due to his small frame becoming tired on his 90th pitch of the game.

Comparison

Montero’s body type is similar to Pedro Martinez with his six-foot, 185-pound frame but large enough hands to have the ability to manipulate movement on the baseball.  The one main difference is Martinez threw a consistent mid-90’s fastball and much sharper breaking off-speed pitches.  Montero’s repertoire of pitches can better be compared to Tim Hudson with his low-90’s two-seam sinker and the ability to locate an above-average slider.


Who’s Wilin to Give Rosario a Chance?

So the seemingly inevitable came to fruition last week when the Colorado Rockies sent Wilin Rosario down to Triple-A Albuquerque after just 14 at-bats with the Rockies this year. According to the man himself, it was to allow another bullpen arm to join the big-league club. Fair enough you might say, the team’s immediate needs are a priority (try telling Kris Bryant that) and the Rockies needed another pitcher in the pen.

Just a couple of years ago, Rosario posted a .270 batting average, tallying 28 home runs and an .843 OPS in 426 plate appearances in the most demanding of positions as a 23-year-old rookie.

What did he do for an encore? Well in 2013 Rosario managed a .292 batting average but launched only 21 home runs and his OPS dropped to a paltry .801 in 466 plate appearances. I jest. Still very productive for a young catcher, even if he gets the assistance of Coors field 50% of the time.

So how did it reach the point where this seemingly top prospect is now battling for a spot in the Majors aged 26?

Well, it begins with Rosario’s skills behind the plate. As a 23 year old, the Rockies knew Rosario had the bat to play but needed to improve defensively to become an everyday catcher in the Majors. Bumps and hiccups are to be expected and in 2012 he had 13 errors and 21 passed balls in 105 games.

This improved in 2013, when Rosario committed nine errors and cut passed balls to nine in 106 games.

But then in 2014, things began to fall apart again and in just 96 games, he had 12 passed balls and seven errors. Granted, a strained left wrist troubled him much of the season, and landed him on the disabled list. In May, a nasty bout with type-B influenza cost him 12 games and 11 pounds. All this culminated in a drop in production at the plate. The batting average dropped to .267, homers fell to 13 and his OPS to .739 whilst appearing at the plate 410 times.

On paper, the batting stats don’t look too bad for a catcher suffering illnesses and injuries. After two good years, one disappointing one couldn’t undo all the potential shown in the previous two seasons, surely?

Looking a little deeper then, there’s the issues Rosario has had with facing righties during his career. Below is a breakdown of his 2012, ’13 and ’14 seasons, showing his splits against RHP and LHP.

2012

Split PA H 2B 3B HR BB SO BA OBP SLG OPS
vs RHP 308 68 15 0 14 19 78 .239 .286 .440 .726
vs LHP 118 39 4 0 14 6 21 .348 .381 .759 1.140

2013

Split PA H 2B 3B HR BB SO BA OBP SLG OPS
vs RHP 328 89 14 1 14 8 85 .279 .299 .461 .760
vs LHP 138 42 8 0 7 7 24 .323 .355 .546 .901

2014

Split PA H 2B 3B HR BB SO BA OBP SLG OPS
vs RHP 303 70 16 0 5 18 56 .249 .290 .359 .650
vs LHP 107 32 9 0 8 5 14 .317 .346 .644 .989

Rosario is considered someone who cannot hit righties effectively and one highly-regarded publication even had written this about him heading into 2015. If every opposing pitcher was a lefty, he’d win an MVP. Any hope for solving RHPs? “. Not exactly a ringing endorsement. But again, his stats against righties aren’t terrible for a young catcher in the National League, certainly serviceable.

However, you now have enough question marks to take stock at what you have; someone who had a bad year, who struggles against right handed pitching and is not performing defensively. So the Rockies had a solution, move him over to first base. His WAR had dropped from starter level in 2012 and 2013 (both years he sported a 2.1 WAR) to replacement level in 2014 (-0.1 WAR). So it seemed like a good idea. Rosario is yet to hit his peak, his bat has more than enough upside for long-term production and without the pressures of needing to improve at the immensely challenging catcher position anymore, things can only trend up.

But then a spanner is thrown into the works in the form of Justin Morneau and his $12.5 million two-year contract which runs through the 2015 season (with a mutual option for 2016). So the simplest short-term solution is to keep Rosario in Triple-A for the season, work out his issues against righties, develop his skills at first and decline the option on Morneau’s contract for 2016, freeing up monies to be used elsewhere. Rosario is arbitration-eligible the next two years and cannot become an unrestricted free agent until 2018 but a long stint in the minors could add an extra year of team control.

So let’s play a bit of devil’s advocate for a moment. If the Rockies extend Morneau through 2016, if the Rockies don’t see Rosario as an everyday first baseman going forward, if they think they can use Rosario to get better elsewhere it begs the question: Who could be Wilin to give Rosario a chance?

As things stand, the Rockies have a winning record and it’s still too early to say if they’ll be contending this year or whether they’ll try to rebuild a little. So let’s look at three possible trades the Rockies could target at the end of this season if they feel the need to move on from Rosario.

Boston Red Sox

Mike Napoli’s contract ends this year and the Red Sox won’t be renewing it. He’s having a bad year and injuries have caught up with him. Rosario on the other hand could be the perfect fit what with the Green Monster and its hitter friendly confines. So the Red Sox could do with getting Rosario. But who could they trade? The Rockies need pitching above all else (which hasn’t bothered the front office too much in the past) but the Red Sox don’t really have any pitching options to trade. If anything, they need the help too.

So let’s look at the outfield. The Red Sox will enter 2016 with Mookie Betts, Rusney Castillo, Jackie Bradley Jr, Daniel Nava and Allen Craig as outfield options, whilst the Rockies will have Corey Dickerson, Carlos Gonzalez and Charlie Blackmon (based on existing contracts and no renewals/trades). So there’s one name which may intrigue. Brock Holt.

Brock Holt is a bit of a utility guy the Red Sox are trying to find at-bats for so one could perceive a trade for an everyday first baseman as ideal. The Rockies don’t have the depth of the Red Sox so they can find ways to give Holt more regular playing time and keep an effective batting lineup.

The likelihood of this trade happening is slim, but it’s intriguing nonetheless.

Philadelphia Phillies

It’s no secret the Phillies are reluctantly rebuilding after prolonged efforts to bury their head in the sand. They still field a lineup containing Ryan Howard and Carlos Ruiz despite father time having caught up with them both (not forgetting Chase Utley).

Ryan Howard continues to be the Phillies everyday first baseman and while he’s still signed through 2016, sooner or later, they need to bite the bullet and accept whatever they can get for him. Carlos Ruiz is also signed through 2016 so maybe if at least one can be moved on, Rosario could fill in for twelve months, covering either spot with a view of an everyday first base role from 2016. He’s young enough to form a part of the rebuild and is a clear upside on both Ruiz and Howard’s bat so this makes sense.

Cole Hamels is the big star the Rockies would love, but the Phillies are looking for a big prospect haul so unless some form of Dickerson, Arenado and top prospects were sent the other way, this just isn’t happening. They don’t have any other starter who could conceivably be considered by the Rockies either. Their main pitching prospects of Aaron Nola, Yoel Mecias, Zach Eflin, Jesse Biddle and Ben Lively are all probably out of play if they get serious about rebuilding so maybe a lower level guy like Nefi Ogando is possible. But this would be a big risk for the Rockies, trading for a mid-tier (at best) pitching prospect.

So maybe some bullpen help to go with it? Ken Giles is the closer in waiting for the Phillies once Papelbon leaves behind the fans who adore him so. But he’s struggle early in 2015 but again, the likelihood of the Phillies losing a potential closer for the next few years to bring in Rosario is unlikely so at best a package of two or three decent arms could be conceived by both parties.

Although it’d be difficult to see a trade here, I think a big enough scratch beneath the service could see something done to benefit the long term goals of each side. Stranger things have happened so only time would tell if the Rockies and Phillies could get something done.

Seattle Mariners

Finally we reach the most intriguing possible destination. The Seattle Mariners have invested big to get to the World Series in recent years. Big name free agent acquisitions of Robinson Cano and Nelson Cruz on the last two off-seasons has added to their chances whilst tying up King Felix long term has given them the ace they need. They’ve constructed a good rotation and a solid batting lineup with one notable exception; first base.

Logan Morrison has been the Mariners starting first baseman so far in 2015, after they waived Justin Smoak last October. First base has become a position synonymous with power hitters in recent times, with offense on the decline throughout baseball it’s a focal position for contending teams batting lineups. I’m not disparaging Logan Morrison, I don’t know the guy and he’s a far better baseball player than I’ll ever be, but he’s not a starting first baseman for a Major League contending team. Last year was the first time since 2010 he posted a positive WAR. Even in 2011 when he hit 23 homers, his WAR was -0.6. 2011 also marked the last time he played at least 100 games in a Major League season.

So there’s clearly a need to upgrade here. Is Wilin Rosario a clear upgrade? Well he is enough of one to matter, especially considering Morrison bats leftie. Morrison actually has a better career batting average against lefties (.260 compared to .243 against righties) but that’s as far as it goes for hitting lefties. Just a glance at his over stats will show this. As a sample, he hits a homerun every 28.65 at-bats against righties and one every 42.36 at-bats against lefties. Below is Morrison’s career splits.

Split PA AB H 2B 3B HR BB SO BA OBP SLG OPS
vs RHP 1393 1232 299 67 15 43 148 219 .243 .326 .426 .752
vs LHP 522 466 121 26 1 11 44 113 .260 .333 .391 .724

The Mariners also have the advantage of the DH. They can easily keep Morrison, form some kind of platoon between Rosario and Morrison whilst still giving Rosario at bats against righties with either of them DHing. Rosario would be a cheaper option at first than most alternatives so improving their lineup without breaking the bank is a good thing right? Things are starting to make sense all of a sudden.

But what could the Mariners give up in order to acquire Rosario. Although Rosario would make sense, they certainly aren’t going to overpay for him. This is where things could get interesting…….

Rockies still haven’t pinned everything on Tulowitzki. If they ever trade him away, it’ll be in the next year so heading into 2016, the Rockies may need a shortstop. I present to you, Mr. Bradley Miller. Before you start up, I’m in no way suggesting Miller is a direct replacement for Tulowitzki!

The Mariners looked like giving Chris Taylor the starting shortstop gig in 2015, until a broken wrist curtailed that idea, giving Brad Miller another chance to shine. He’s been pretty good so far this year, but Chris Taylor is back and Miller certainly hasn’t shown the promise the Mariners hoped he would. If Taylor can hit well in Triple-A (he’s already hitting .328 with 2 homers, 5 steals and an .894 OPS) he’ll be with the big league club sooner rather than later. It’d be a downgrade at shortstop for the Rockies I grant you, but would free up a lot of cap space to go out and get something resembling a decent rotation.

But even if the Rockies do keep hold of Tulowitzki (and why wouldn’t you?), we come back to their need for pitching. The Mariners aren’t exactly steeped with pitching but certainly have enough to trade a piece away. They’d be unlikely to want to lose one of their more established “prospects” in order to get Rosario (Taijuan Walker, Roenis Elias, and James Paxton).

But there’s also Danny Hultzen, who has started the year well in Triple-A after rotator cuff surgery (currently sporting a 2.05 ERA through 30+ innings). Tyler Olsen is currently in the Mariner bullpen but was considered a 4th/5th starter during his minor league career and Ryan Yarbrough is continuing to impress in low A ball and at age 23, could easily be in the Majors within a couple of years. So the Mariners have enough depth to make a trade without harming their rotation. Whether or not they value any of these guys on a par with Rosario however is a different matter.

Looking at the three possible destinations, the Mariners appear to be the best chance of getting something done, but I’d be more inclined to suggest Wilin Rosario starts 2016 as the Rockies first baseman. And who’s to say he won’t finish 2015 in the role. Just as it wouldn’t surprise me in the least if he gets traded tomorrow, but that’s baseball. Nothing is ever set in stone and should the Rockies look to move on, there are certainly enough options out there to get something done.