AL Starting Pitcher Z-Contact% Improvers
What do we do to analyze players this early in the season? Focus on the underlying metrics that stabilize quickest and try to spot early changes. While our sample size stabilization points don’t include any advanced metrics, I would bet that the plate discipline metrics, including Z-Contact%, would sit on the low end in terms of how many plate appearances or batters faced they require to reach the calculated stabilization points. So let’s dive into the American League starting pitchers that have improved their Z-Contact% most from last year. Is there anything more illustrative of the quality of a pitcher’s stuff than making a batter miss a pitch in the strike zone?
| Name | 2017 K% | 2016 K% | 2017 Z-Contact% | 2016 Z-Contact% | Z-Contact% Diff |
|---|---|---|---|---|---|
| Jason Vargas | 28.0% | 23.4% | 74.6% | 84.3% | -9.7% |
| Chris Sale | 36.7% | 25.7% | 74.3% | 83.2% | -8.9% |
| James Paxton | 29.3% | 22.9% | 77.9% | 85.4% | -7.5% |
| Ian Kennedy | 25.3% | 22.5% | 77.1% | 84.5% | -7.4% |
| Matt Andriese | 20.3% | 20.7% | 82.8% | 89.3% | -6.5% |
| Tyler Skaggs | 25.0% | 22.8% | 81.3% | 87.7% | -6.4% |
| James Shields | 23.2% | 16.4% | 83.1% | 89.0% | -5.9% |
| CC Sabathia | 14.9% | 19.8% | 81.0% | 86.7% | -5.7% |
| Marco Estrada | 22.4% | 22.8% | 77.0% | 82.5% | -5.5% |
| Rick Porcello | 22.8% | 21.2% | 83.2% | 88.4% | -5.2% |
| Group Average | 24.8% | 21.8% | 79.2% | 86.1% | -6.9% |
Wowzers, Jason Vargas! The comparison to last year is kinda silly, considering he threw just 12 innings, facing 47 batters. However, last season was his lowest Z-Contact% to begin with, so this improvement is even larger if looking at his historical rates. How has the 34-year old suddenly become a strikeout machine?! He’s not suddenly throwing any harder and his pitch mix has remained the same. His changeup has always been fantastic, though this year its SwStk% is all the way up at an absurd 30.8%. The big driver is that his four-seamer is suddenly inducing whiffs, when it’s been ohhhh so bad in the past.
My initial inclination would be to guess that he’s now throwing the pitch higher in the zone. High fastballs generate more whiffs than low fastballs. That was indeed the case during his short time last year. But, not so this season so far. In fact, his vertical location is the lowest in the zone it’s ever been! So without an explanation I could dig up, this looks like a complete fluke, as there’s no reason his changeup should also improve from top notch to historically good.
So much for Chris Sale’s strikeout rate dip last year. This improvement looks better because of last season’s highest Z-Contact% since 2012, so it appears he’s back to normal. And hey, his velocity has rebounded too! He’ll battle for second best fantasy pitcher honors once again.
While I’d like to see the ground balls return to James Paxton’s profile, I don’t think anyone could complain. His fastball velocity hasn’t quite been maintained from last year, but it’s still above his pre-2016 days. Getting back to his ground ball rate, his fastball is generating a low-teen SwStk%, nearly double his mark last year. It’s time yet again to investigate the vertical location of the pitch. Unfortunately, no dice once again. He’s throwing it a bit higher than last year, but it’s still low in the zone. I highly doubt he could maintain his fastball SwStk%, but his secondary pitches remain super strong, so he should stick in the low-to-mid-20% strikeout rate range.
Ian Kennedy has essentially maintained his career best velocity from last year, but now his changeup has been even more insane than Vargas’. What’s going on in Kansas City?! Are naked girls being unleashed in the outfield every time a Royals pitcher throw a changeup, thereby distracted the batter from making contact?
Matt Andriese is one of the few pitchers on the list whose Z-Contact% has significantly improved, yet his strikeout rate has barely budged. His scouting grades are meh, he was never an exciting prospect, and his minor league numbers were mediocre. But with a good defense behind him and a friendly home park, he’s a respectable stash in even shallow mixed leagues.
Tyler Skaggs hasn’t maintained his increased velocity from last year after returning from Tommy John surgery, but it’s still well above his pre-2014 days and all three of his pitches have generated a SwStk% in the double digits. There are some red flags here such as a fly ball rate that has jumped above 40%, but with an ERA over 5.00 and a sub-4.00 SIERA, he should post much better results the rest of the way.
Seriously, who has taken over James Shields‘ body? I can’t for the life of me recognize who this masked man is anymore from his statistical profile. A career best Z-Contact%, career worst F-Strike% and walk rate, a hilariously high 58.1% (!!!!!) fly ball rate, and his signature changeup being thrown only about 10% of the time, half the frequency of last year? Good luck trying to project his performance moving forward, but there’s little here that’s inspiring.
The pitch to contact CC Sabathia has officially arrived! Now sporting just a 14.9% strikeout rate! Odd, he’s inducing whiffs like normal and has posted the second lowest Z-Contact% of his entire career. So where the heck are the strikeouts?! His xK% is better at 17.4%, so this looks like some bad sequencing early on.
Marco Estrada is inducing whiffs more than ever before, so as a reward, his strikeout rate has…declined. Oddly, he hasn’t induced a popup yet, as he’s typically been a master of, but has offset the lack of easy outs with a crazy low line drive rate.
We all figured that Rick Porcello would disappoint compared to his Cy Young campaign last year, but probably didn’t envision a 7.00+ ERA after his first three starts. Guess what? His skills are just as good, if not better, than last year. The Z-Contact% sits at a career best, which has boosted his SwStk% above 10% for the first time, all on the heels of an amazing slider. That pitch has always induced below average whiffs for the pitch type, so I’m not sure what he’s doing differently whether the pitch has improved or it’s a small sample fluke. Whatever the answer, his .385 BABIP and 20.8% HR/FB are sure to plummet toward the league average, so don’t panic Porcello owners.
Mike Podhorzer is the founder of ProjectingX IQ, an advanced fantasy baseball analytics platform that transforms projection data and in-season performance signals into actionable intelligence. He is the 2015 Fantasy Sports Writers Association Baseball Writer of the Year and three-time Tout Wars champion. He is the author of the eBook Projecting X 2.0: How to Forecast Baseball Player Performance, which teaches you how to project players yourself. Follow Mike on X@MikePodhorzer and contact him via email.
Jason Vargas is not a fluke. Have you actually watched him pitch or just stared at his fangraphs page? He’s got a Benjamin Button arm; he needed to blow out his elbow to reach his strike-throwing potential. http://twtwsports.blogspot.com/2017/04/royal-rematch-giants-return-to-kansas.html
Anything he’s doing differently will show up in the stats. I don’t need to watch him pitch. And what’s the point of the article? It tells me nothing about Vargas’ strikeout surge.
stats can’t tell the whole story, or really any of the story; kind of like the crappy film adaptation of Moneyball. He looks like a changed man on the mound. Smooth delivery, confidence, deception of the batters. I would definitely actually watch the man pitch before calling him a fluke, Mr. Podhorzer.
Obvious troll job.
Didn’t you feel ignorant typing that? Your perspective couldn’t be more wrong. There are people that claim that they don’t need any of the stats because they can see everything from watching the games. As with everything, the problem is extremists – brilliance is somewhere in between.
[on Jason Vargas] “…and his pitch mix has remained the same.”
No it hasn’t. He dramatically cut his 4-seam usage and nearly doubled his 2-seam usage. His 3 years on the Royals before this season he was throwing 41% 4-seam and 13% 2-seam — this year he is throwing 29% 4-seam and 24% 2-seam.
(Source: Fangraphs player page, Pitchf/x Pitch Type section)
Does doubling your two seam usage usually result in way more swinging strikes? I don’t think so.
On that note: is there a way to see plate discipline and batted ball stats by pitch type?
The lowest zone contact rate in the league last year was Scherzer at 79%. Then Duffy at 81.3%, Price at 81.6% and Fernandez and 81.8%. Doesn’t seem like Vargas’ 74% rate is sustainable, especially with his high 80s velocity.
Why don’t you think so? It depends on how good the pitch is and the pitcher… and last time Vargas threw 100+ IP in 2014 his 2-seamer was more effective than the 4-seamer and got a better percentage of wiffs… but that’s irrelevant because I was simply pointing out that his pitch mix did change.
As for trying to find plate discipline and batted ball stats by pitch type, my best guess would be for you to check out baseballsavant.com which holds all the statcast info, it won’t be as neatly organized as you see things on fangraphs but you can run a query to pull the data you want.
It’s his change-up driving the K rate, so unless you think altering his 2-seam/4-seam mix is radically–and I mean RADICALLY–improving the whiff rate on his change-up, throwing more 2-seamers doesn’t explain much.
While you would bet that the plate discipline metrics, including Z-Contact%, would sit on the low end in terms of how many plate appearances or batters faced they require to reach the calculated stabilization points, you have provided no evidence to support your belief, and looking at the small sample of pitchers you selected, and seeing how they performed last year, the evidence doesn’t clearly support your contention.
Excluding Vargas because ha barely pitches last year, that leaves you with 9 pitchers. So for 2016 I compared the Z-Contact% for each of those pitchers for the months of April with the Z-Contact% for each of those pitchers for the full season. I did so even though the full month of April os a larger sample size than what you have chosen because that is what is easily available on the Fangraphs’ leaderboards. For Paxton, I used the month of June, while for Skaggs, I used the month of July, since those months were the first they had more than a single start.
Of the nine pitchers, three had a sizeable gap between April and full-season Z-Contact%:
Kennedy: 79.5% April; 84.5% full season
Estrada: 82.5% April; 90.6% full season
Porcello: 88.4% April; 84.4% full season
The average gap for those three pitchers was 5.7% even though the sample size I took was roughy 25% larger using the full month, which is nearly as large as the gap for the 10 pitchers you selected because they featured the largest drop this year.
As well, two of the pitchers had a gap of 2.7% (Sabathia) and 2.4% (Andriese). In his last full season in 2014, Vargas had a gap of 2.7%.
That leave only four of nine pitchers whose April numbers more closely matched their season numbers, which suggested to me that your assumption about stabilization for just less than three weeks of data may be incorrect. At this point in the season, many starting pitchers have only three starts, and which lineups they faced may skew their Z-Contact%, as their is a 5% swing in that stat among MLB teams if we exclude Tampa, which is so far an outlier (the swing is 9% if we include Tampa). Sale and Estrada, for example, who have the lowest Z-Contact% among your group, each has a start against Tampa.
Thanks for this, but I think you misunderstood my opening paragraph. I was in no way suggesting we have already reached the stabilization points for these metrics! It’s still too early for literally everything. However, I would guess they stabilize quicker than most other metrics, so if we’re going to analyze something (and we have to, otherwise FG and RG would be blank for the first month of the season), then these are the metrics to analyze.
It looks like there are a few things that have happened to Vargas that are all interesting and probably all contributing to the step-up in his skills. FWIW, I think this is somewhat unsustainable, but probably not a fluke.
1. He dramatically lowered his release point post-TJ: http://www.brooksbaseball.net/velo.php?player=450306&b_hand=-1&gFilt=&pFilt=FA|SI|FC|CU|SL|CS|KN|CH|FS|SB&time=year&minmax=ci&var=z0&s_type=2&startDate=03/30/2007&endDate=04/20/2017
2. He switched to a knucklecurve from a traditional curveball right before he got hurt and likely improved it during his TJ recovery: http://www.fangraphs.com/statss.aspx?playerid=8044&position=P#pfxpitchtype
This knucklecurve moves much more than his old curve:
Horizontal movement: http://www.brooksbaseball.net/velo.php?player=450306&b_hand=-1&gFilt=&pFilt=FA|SI|FC|CU|SL|CS|KN|CH|FS|SB&time=year&minmax=ci&var=pfx_x&s_type=2&startDate=03/30/2007&endDate=04/20/2017
Vertical movement: http://www.brooksbaseball.net/velo.php?player=450306&b_hand=-1&gFilt=&pFilt=FA|SI|FC|CU|SL|CS|KN|CH|FS|SB&time=year&minmax=ci&var=pfx_z&s_type=2&startDate=03/30/2007&endDate=04/20/2017
And while it doesn’t get swings and misses, it generates weak contact and flyballs (if that’s a fluke or real, idk): http://www.brooksbaseball.net/outcome.php?player=450306&b_hand=-1&gFilt=&pFilt=FA|SI|FC|CU|SL|CS|KN|CH|FS|SB&time=year&minmax=ci&var=fb&s_type=2&startDate=03/30/2007&endDate=04/20/2017
The outcomes from this new pitch are WAY better than pre-TJ according to pitch values: http://www.fangraphs.com/statss.aspx?playerid=8044&position=P#pitchvalues
3. Perhaps because of #1 and/or #2, his changeup has become much better
More swings and misses: http://www.brooksbaseball.net/outcome.php?player=450306&b_hand=-1&gFilt=&pFilt=FA|SI|FC|CU|SL|CS|KN|CH|FS|SB&time=year&minmax=ci&var=whiff&s_type=2&startDate=03/30/2007&endDate=04/20/2017
More groundballs: http://www.brooksbaseball.net/outcome.php?player=450306&b_hand=-1&gFilt=&pFilt=FA|SI|FC|CU|SL|CS|KN|CH|FS|SB&time=year&minmax=ci&var=gb&s_type=2&startDate=03/30/2007&endDate=04/20/2017
He’s not just getting completely lucky, he’s evolved the way he pitches.
Nice.