Luis Arraez Needs To Swing and Miss More Often

Jay Biggerstaff-USA TODAY Sports

The 2022 American League batting title was won with .316. It was the lowest batting average to earn the award in the American League since Carl Yastrzemski hit .301 in 1968. Rod Carew earned the best AL batting average in 1972 with .318 and Tony Gwynn hit .313 in 1988 to earn the NL award. But typically, the batting title is awarded for a higher average. The average batting average of players winning the batting title in both the AL and NL over the past 50 seasons has been .345. Arraez’s .316 average was impressive, but it probably won’t benefit your fantasy team when quite enough when it brings only 8 home runs along with it.

Is there room for more power in Arraez’s approach? Don’t tinker with a good thing is what I immediately think, but then again, will .316 and probably slightly below (Arraez steamer 2022: avg .305), continue to top leaderboards? Furthermore, Arraez is up for arbitration prior to the 2023 season and won’t be a free agent until 2026. He has plenty of room to work for a few extra dollars in the power department. Shoot, he even said he wanted to add power himself when speaking with two of the most powerful in Giancarlo Stanton and Aaron Judge at the All-Star game (0:36):

So, what can he do? How can Luis Arraez add a little more power without changing who he is? I’m not a swing expert, but I did stay at a Holiday Inn last night and I know how to run a clustering model on high-dimensional data. But we’ll get to that in a minute.

Let’s start with who he is. First, he’s a man who does not strike out. He had the lowest K% at 7.1% among qualified hitters in 2022. He also never swings and misses. His 2.5% SwStr% was also the lowest among qualified hitters and lower than the new kid on the block Steven Kwan’s second place 3.1%. Second, he doesn’t steal bases. Four bags in 2022 and two bags in 2021 didn’t accentuate Arraez’s ability to get on base. Lastly, he doesn’t hit for power. His .104 ISO ranked 12th from the bottom among qualified hitters in 2022. From a fantasy perspective, Arraez is not necessarily a one-sided player, but he’s close. He got on base enough times to be driven in to score enough times and both his mR and mAVG returned positive value according to our auction calculator:

Luis Arraez, 2022 YTD Value
Name PA mAVG mRBI mR mSB mHR PTS aPOS Dollars
Luis Arraez 603 $6.93 -$2.79 $3.07 -$1.53 -$3.61 $2.07 $9.51 $12.59

So where does this profile place him amongst his peers? Well, looking at a lot of columns in a spreadsheet can make it difficult to put a single label on a player. There’s just too much to sway your opinion. In order to combat this and help us create a more summarized view of many metrics, I’ll use a Principal Component Analysis (PCA) to “increas[e] the interpretability of data while preserving the maximum amount of information, and enabling the visualization of multidimensional data”. I created two sets of variables, one mostly batted ball, and plate discipline and the other Statcast metrics with a few non-Statcast metrics that more or less define power. Here they are:

Batted ball and plate discipline metrics
LD%, GB%, FB%, Pull%, Cent%, Oppo%, Swing%, Contact%, Zone%, SwStr%, CStr%

Statcast/power metrics
HR/FB,EV, maxEV, LA, Barrels, Barrel%, HardHit, SLG, xSLG

With a PCA I’m able to reduce these lists to two numbers which can then be passed through a k-means cluster analysis, grouping players into nice segments for visualization. Typically, a cluster analysis is used to gather insights on unlabeled data and it is a type of unsupervised learning. In this case, we’re using it to make comparisons we otherwise wouldn’t have:

Cluster Diagram 1

Arraez finds himself, surprisingly, in the high-power end of cluster 1. To better understand why that is, we can compare his Statcast/power metrics with the averages from cluster 1. In addition, I’ll throw in that player all the way to the left, Tony Kemp, to help us compare Arraez with his cluster-mates:

Cluster 1 Metrics
Name HR/FB EV maxEV LA Barrels Barrel% HardHit SLG xSLG
Tony Kemp 4.3 84.4 103.2 15.0 7 1.6 65 0.334 0.291
Luis Arraez 4.8 88.9 107.3 12.9 18 3.6 153 0.420 0.408
Cluster 1 Average 7.7 86.7 108.8 12.2 17 4.2 126 0.383 0.365
SOURCE: Statcast

Now we have a group for Arraez that makes sense. Next, let’s look at a few players who are higher up on the power scale, but aren’t changing too much in the batted ball/plate discipline area. Here’s our cluster image from before but with two new names identified that might be able to help Arraez inch over to the next cluster:

Cluster Diagram 2

Shifting into Cluster 3
Name HR/FB EV maxEV LA Barrels Barrel% HardHit SLG xSLG
Josh Bell 12.1 88.9 112.2 8.3 33 7.2 186 0.422 0.424
Brandon Nimmo 10.9 89.4 111.9 6.1 33 7.0 187 0.433 0.409
Arraez 4.8 88.9 107.3 12.9 18 3.6 153 0.420 0.408
SOURCE: Statcast

I am not saying that Luis Arraez should just go up there and try to be more like Josh. But I am using him as an example to determine what makes his profile more powerful. Josh Bell, 6′ 4″ / 255, and Luis Arraez, 5′ 10″ / 175, are different. While I don’t expect Luis Arraez to just suddenly increase his exit velocity, I am certain he has the skills to change his approach. One place to start would be adding more pull.

Shifting into Cluster 3
Name LD% GB% FB% Pull% Cent% Oppo% Swing% Contact% SwStr%
Josh Bell 18.6 50.4 30.9 38.4 36.0 25.7 45.3 80.6 8.8
Brandon Nimmo 17.7 50.5 31.7 32.1 38.5 29.4 43.7 82.6 7.6
Luis Arraez 25.8 41.2 32.9 31.6 37.9 30.6 42.7 94.1 2.5
SOURCE: Statcast

Josh pulls the ball more. Josh also swings and misses more often. But while not swinging and missing is really impressive in this day and age, how valuable is it from both a fantasy perspective and a real-life perspective? Increasing his swinging-strike percentage while also increasing his slugging percentage would benefit everyone involved. Arraez is already hitting the ball with decent slugging results when it’s put inside, though he could improve on high-inside pitches, and all of his 2022 home runs came off pulled balls:

Arraez SLG/BIP Heatmap

Luis Arraez 2022 Home Run Spray

While watching a player who can spray the ball all over the field is fun, Arraez’s numbers aren’t great when going oppo. He slugged .638 when pulling the ball but when he slapped the ball the other way in 2022, he had mediocre results and his slugging percentage was brought down to .364. Just look at how many outs he hit into the opposite direction:

Arraez Field Out Spray

In 2022, Arraez’s HardHit% increased from 27.8% to 30.6% when he pulled the ball. When he was ahead in the count and pulled the ball, it jumped to 32.5%. Given a little more freedom from the worry of striking out, he added more power. But, here’s where things get a little odd. Arraez put the ball in the air more often than Bell and Nimmo in 2022 and his average launch angle was higher as well. If we look at his baseball savant radial chart isolated to singles, doubles and home runs (he only hit one triple in 2022), he clearly knows how to elevate the ball to hit for power:

Luis Arraez Radial

But, without the exit velocity to take the ball out, he ends up with a lot of fly ball outs. Looking at the table above, he’s putting the ball in the air more often than Nimmo and Bell but with a significantly lower HR/FB rate.

Arraez Field Outs

Let’s summarize. Luis Arraez could be more valuable if he hit with a little more power. One way he might add power is to start pulling the ball more and leveling out his swing ever-so-slightly. This may cause him to swing and miss more often, but he can afford it. Arraez earned nearly $13 in 2022 and we should expect that to increase if he can adjust. It may seem nuts, but Luis Arraez needs to start swinging and missing more often.





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JSJohnSmithAnon
1 year ago

Nice article.
“and leveling out his swing ever-so-slightly”
It’s weird, he hits the ball in the air more than Bell and Nimmo, but he’s the only one of the three that hits the ball more softly on fly balls than his overall average – it’s like his swing isn’t intentionally going for loft and the fly balls are more often “mishits”. Looks like b/c of two main reasons for those mishits – he’s putting more bad pitches in play and pitchers are attacking the top of the zone more vs him. A more level swing should help regarding the latter, I’m not sure it would reduce his contact though, I would think it would do the opposite. Maybe he should just swing harder more often (ie 95% effort swing instead of 85% effort).