MLB Daily Notes - June 19

A daily automated report of what happened yesterday in Major League Baseball, along with other recent trends and further analysis

Jun 19, 2026

Check out yesterday’s box scores here

The Daily Notes are the flagship resource of MLB Data Warehouse. Every morning, Jon breaks down the current goings on in the fantasy baseball world, and an automated daily report gets you up to date on key stats and trends. Become a paid subscriber at MLB Data Warehouse to get this unlocked in your inbox every morning!

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Just go here and use password “friday”, then hit “PRO” on the menu and go the bottom for “Game Sim”.

It’s a Misiorowski night, and the projections are fully bought in now after some tweaks I made the other day.

We have a 2:20 Friday Cubs game. I really wish they’d stop doing that. I’m pretty into tradition, generally, but why do we need the 2:20 Friday game? Didn’t that start because they didn’t have lights in Wrigley so they couldn’t play night games? But they’ve had lights for decades now, and they’re still doing this 2:20 thing?

Or no, actually a memory just came to me. Someone on X once told me it has to do with a city ordinance or something.

So it’s a law! They aren’t allowed to play on Friday nights so the neighborhood doesn’t get too loud. I guess that’s a consequence of playing literally in people’s backyards. I guess that’s kinda cool then. I’m fine with it now.

But anyways, you don’t have to bother with watching the game, because you can just simulate it and know exactly what will happen ahead of time! Toronto wins 5-4, Ben Brown struggles, and George Springer hits a homer.

If that’s exactly right, I’d better get at least 20 upgrades to MLB DW PRO.

PITCHERS

Thursdays don’t give us much to look back at, which I appreciate.

Trey Yesavage was cooking early on but stayed in the game late and gave up a few runs. Nice numbers though with the 16.8% SwStr% and 6:0 K:BB.

Sean Manaea has been pretty good as a starter for the Mets:

Jon Anderson@JonPgh

Sean Manaea since May 17th 34.1 IP, 3.19 ERA, 1.06 WHIP, 24% K%, 5.6% BB%, 0.87 HR/9

12:34 PM · Jun 19, 2026 · 31 Views

The pitch mix from this sample when he’s been being built up to get back to a starter role:

Pretty good stuff. Lots of strikes, a few whiffs, soft contact. Manaea can do this kind of junk. We’ve seen it before. He made 32 starts for the Mets in 2024 and gave them a 3.47 ERA and a 1.08 WHIP. But the injuries and the suck have limited him to just 114 innings the last two years. But he looks pretty good right now and he can definitely be a useful starter for fantasy leagues.

The good pitchers were good:

Ryan Weathers: 6.33IP 3H 1ER 1R 8K 1BB
Bryan Woo: 7.0IP 3H 0ER 0R 9K 1BB
Parker Messick: 6.0IP 4H 2ER 2R 9K 3BB
Joe Ryan: 5.0IP 3H 0ER 0R 7K 2BB

Good lesson on Weathers there. Someone asked me on that podcast I did Monday answering questions about what they should do with him. And I said HOLD because of the K-BB%. And that paid off yesterday.

Up to a 20.5% K-BB% now with a 2.87 JA SIERA but a 4.04 JA ERA. So what’s that difference about?

Well, it’s what we talked about yesterday. A 12% SwStr% would suggest like a 23% K%. But Weathers has a 27% mark. Back-to-back days for this plot!

So he is way over there in called strike rate. And that makes you a little bit nervous. But he has good stuff, and he’s gotten whiffs in the past, and even right now it’s not awful at 12%. So I’d keep using him.

When Bryan Woo doesn’t give up a homer, he’s awesome.

→ Bryan Woo Career: 3.34 ERA
→ When Not Giving Up HR: 1.53 ERA

It’s that simple, man. Just don’t give up homers, and you’ll win the Cy Young. Why isn’t someone paying me a full time salary and bennies for this advice??

If you were like AMAZED by the stat I just gave, shame on you. This says nothing special about Woo, I don’t think. Let’s look at the big league average:

→ ALL STARTERS ERA 2021-2026: 4.25
→ WHEN THEY DON’T GIVE UP HR: 2.54

Woo’s no-homer ERA is 0.45 of his normal, the league’s non-homer ERA is 0.53 of the normal. So I guess it matters a little bit more for pitchers like Woo who don’t walk guys or give up many hits. The only way you can typically get to him is with the homer.

But you just start the guy every time and take the few bad starts he gives you with dignity.

JACK LEITER - 4.0IP 7H 6ER 6R 4K 2BB

Sucked. What can you say?

He looks the same as last year now, but with a way worse ERA.

You need to throw STRIKES.

A 47% Strike% isn’t going to work, Jack! And then you walk 9% of guys and give up more than one homer per start.

Check out the Ball% vs. Strike% plot, it’s colored very beautifully:

Everybody likes some asymmetry. It’s crazy how unattractive you are when your eyes aren’t lined up. And the reason this plot looks so nice is that it plots three things that add up to 100%.

Ball%
Strike%
Ball In Play

Every pitch will be one, and only one, of those things. So it’s a zero-sum game. Let’s filter it to starters with 10+ GS:

The outlier dot over to the right is, of course, Misiorowski. Must-see TV on him tonight, I think. I might have to check in on that game.

Jack Leiter is right in the middle there:

So he’s not a dude that needs to go back to AAA or anything like that. His SIERA is 4.19; he’s fine. He’s just seemingly more bad than good for standard fantasy leagues.

Shane Baz - 7.0IP 5H 3ER 3R 9K 2BB

This guy…

Jon Anderson@JonPgh

Shane Baz last six starts: 2.39 ERA, 7.7 BB%, 0.48 HR/9, 34 strikeouts in 37.2 innings.

12:56 PM · Jun 19, 2026

He hasn’t quite deserved these results with a 14% K-BB% and a 4.23 JA ERA, but he’s been a lot better and the Stuff+ on the curveball is actually working now with a .245 xwOBA allowed on 34% usage the last six starts.

Matthew Liberatore - 1.67IP 7H 5ER 7R 2K 0BB

Tiki torched bro. The Lib sucks. I hope Hunter didn’t tell you to start him in Starts & Sits… let’s check.

Sick, nice job Hunter.

Gage Jump - 7 IP, 1 H, 0 ER, 7 SO, 3 BB

It helped that Mike Trout hit the IL. The Angels lineup now looks something like this:

They need those real Angels from the 90’s movie to come back or something. And it’s all the fault of that kid’s dad. What a prick.

Thoughts from the Stands: Angels in the Outfield commentary, part 1: 'I'd say when the Angels win the pennant'

If you have a family, it’s time to grow up, man. Put the leather jacket away, stop trying to be 22 years old, grow a pair, and take care of your kids.

Nobody talks about this guy when you’re talking about classic movie villains. But he’s at the top of my list. At least the coach was there to step into the picture and show Roger and JP what a real man looks like.

Is Gage Jump a stud?

A good start against the Angels doesn’t prove much, but it was in Sacramento, and he didn’t give anything up. The numbers:

The good:

7.6% BB%, 32.2% Ball%, .277 xwOBA allowed, 2.5% Brl%

The bad:

12.4% SwStr%, 48% four-seamer usage

The bad isn’t that bad, though. The fastball is pretty good. I don’t think it’s some super-elite fastball that will carry him. There are probably going to be rougher times ahead. You can’t actually allow a 2.5% Brl% for long.

Let’s test that theory. I exported 2023-2025 seasons from FanGraphs. Only seven of 314 qualified pitchers (120+ IP) held hitters to less than 5% Brl%:

Those are ground ball pitchers. Jump looks like a 60th percentile or so ground ball guy. But even the ground ball guys typically are at 6-8% Brl%.

This is a great opportunity for a histogram:

Looks a bit like the NORMAL DISTRIBUTION, doesn’t it?

44% of pitchers will be in the 8-9% Brl% range. 84% of pitchers will be in the 6-10% range. So you shouldn’t be projecting anybody outside of that range. And my projection DON’T. Everybody in the skill data will be between 5% and 11%, and by the time you get real big samples on guys it’ll be even tighter than that.

You should absolutely be projecting hitters to be way outside of that range, because barrels are dictated by the hitter.

All of this is to say that Gage Jump is going to give up more barrels really soon. He’ll end up above 6% this year, that’s my guess. And that means he’ll give up homers - especially pitching in Sacramento.

But it’s probably too early to sell high on the guy. I do think he’s worth a roster spot in 12-teamers. He’s 60% owned, and that’s probably about right. He’ll go to San Francisco for his next start, which is an elite matchup - so you should start him there. But after that it’s probably against the Dodgers.

Shane Drohan - 5.0IP 3H 1ER 1R 3K 3BB

A decent start for Drohan. He’s up to a 17% K-BB% and he built the pitch count up to 91 yesterday.

He might be worth a look in your deep leagues.

Awesome grades thus far on the four-seamer (117), slider (116), and curve (129). But small samples across the board.

He’s 27… which is ANCIENT. But he had a 34.5% K% and a 9.4% BB% in the minors last year, which is really good. I’ve never seen the guy with my eyes. So I want to. Let’s look at one single pitch and draw a bunch of conclusions from it like the pitching bro’s do:

Okay fine let’s double the sample size to TWO:

Slider whiff punchies to Harper and Marte. The Brewers might be doing it again with this guy. Keep an eye out!

I X SEARCHED him, and now we shout out PITCHER LIST as they made the top result:

That’s a big fat F in PLV. But I don’t know what PLV is. I think it might incorporate locations too. It must, because the grades on his locations were awful (D-).

Locations vary wildly.

It’s a little bit ridiculous we even attempt this stuff. I’d imagine that like an inch of difference could change a grade from an A to F depending on where it is.

But people probably wouldn’t be bothering if it didn’t have some kind of predictive value.

If we look at LOCATION+ leaders:

You couldn’t have hand-picked a list of guys that have really bad STUFF. It almost seems like there’s an inverse relationship between Stuff+ and Location+. But that’s probably not true. Let me check.

Would you look at that… an inverse relationship. That’s strange, isn’t it? Am I doing something wrong? Nobody above a 100 Stuff+ has a Location+ above 105. That doesn’t make any sense to me.

The only explanation I can think of is that the bad Stuff+ goes only stay in the league because their locations are good. The survivorship bias. And ChatGPT agrees:

But that doesn’t mean this is the reason. It wouldn’t prove out this cleanly, would it? Maybe it’s just the model doing something wrong.

So I don’t trust this to start with, so there’s definitely no takeaway from it. I’m ignoring it for now. In my experience, though, Location+ looks pretty worthless.

Hitters

Juan Soto is still very good. And the Twins and Royals went to town yesterday.

Trevor Larnach has been quiet this year (five homers, .787 OPS). But he’s still hitting righties pretty well (.338 xwOBA, .438 SLG). Big day for him yesterday, but he’s only useful in a deep league where you can sit him when the Twins face a lefty.

Let’s look at some of these Royals. The “Team O Breakdown” is one of my most-used tabs on the dashboard. Here’s what you get from that page:

Team stats with splits at the top, rolling plots for the team, and then the player stats in a table that change based on whatever date range you select. Really useful and clean page. Lots of information in one screenshot there. What I don’t have is home/road splits, so I’m going to add that RIGHT NOW.

The Royals are getting going. In June:

Jensen has been a lot better, Witt crushes all the time (he got hurt last night but it seems like a day-to-day thing).

The guy we keep coming back to is Jac Caglianone.

His last month:

111 PA, .283/.360/.434, .795 OS, 31.5% K%, 9% BB%, 9.4% Brl%, .284 xBA, .363 xwOBA

Bad plate discipline in this sample. And a single-digit barrel rate. But he’s lifting it a little more, still not a lot (22% FB%). I guess this isn’t convincing, but any little increase to his launch angle will be great because he hits the ball so, so hard - as I’ve said a bunch of times.

It’s been more line drives than fly balls, but those are better than ground balls at least:

He’s been awesome in June and the ceiling is massive, so he should owned & started everywhere, I’d say. The K% has me not as confident as I thought I’d be.

Kyle Manzardo with another dinger. Since May 1st, he has a 15.1% Brl% and a .354 xwOBA - but a 30% K% and a .246 xBA. He’s a dude you like to use in DFS for cheap against righties. He can definitely hit the long ball (seven in his last 130 PAs, a homer every 18.5 PAs). But he doesn’t do much else, and the Guardians might have the worst lineup in the league now being without Jose Ramirez.

Travis Bazzana hit his fifth homer and now has a .250/.349/.419 slash with a 4% Brl%. The strikeouts have come up a bit, and now he’s at 19% with a 12% BB%.

He’s appealing in a league with SB + OBP. He’s good at taking walks and stealing bags, and it looks like he should mix in a homer every couple of weeks. He’s probably a 17-20 homer guy right now (full season pace, I mean). The EVs are ugly:

So maybe I’d reduce that down to like 14-17 homers. He is not hitting the ball hard. His max is 108, and you really like to see 110 or so there if you’re trying to draw lines.

Speaking of softly hit homers, Brooks Lee now has a dozen homers. I have no idea how he’s done that.

The 17% Air Pull% helps a lot. That’s typically how you do this thing where you get homers on. I checked on who, among hitters with 5+ homers, has the lowest average EV on those homers.

Here’s the CODE for the baseball savant coding bro’s:

hrs = sav26.groupby(['BatterName','batter'],as_index=False)['IsHomer'].sum()
hrs = hrs[hrs['IsHomer']>4]

hr_ev = sav26[(sav26['launch_speed']>90)&(sav26['IsHomer']==1)].groupby(['BatterName','batter'],as_index=False)['launch_speed'].mean()

df = pd.merge(hrs,hr_ev,how='left',on=['BatterName','batter'])
df = df.sort_values(by='launch_speed')
df = df.round(1)
df.head(10)

Here are your ten lowest:

I knew Brooks Lee would be there. Just 100.8mph of average home run velo. He’s not a home run hitter, and I wouldn’t expect another 12 to come. But he’s 60% of the way to twenty, so I guess he could get there.

Here’s everybody with 10+ homers and their average HR EV:

That’s the type of season that Ketel Marte has had. If he doesn’t hit in 105+, it finds somebody’s glove.

It’s not totally fake. You can hit “soft” homers with regularity if you’re pulling the fly balls and you hit in a good hitters’ park. But you want big EVs, ideally.

That’ll have to do it for today. We’ve got a bunch more stuff coming. A big DFS slate preview using the SIMS now, and the waiver wire podcast will return this afternoon!

Enjoy the free CONTENT. And please consider becoming a paid member, I’d like a little mid-season surge here.

The subscriber numbers have been down a bit from last year… I guess that’s just because I suck or maybe I started charging too much or maybe the explosion of AI just has people doing their own work and not paying me for it.

I don’t even need any more money than I currently make, so I should probably just stop caring. I guess I’m a little disappointed because coming into this season I thought I might be able to go full time with this stuff after this year, but that’s clearly not happening. And the lockout stuff might really crush this business next year. I doubt it does, but it’s possible.

What I wanted was 1,000 paid subs, but we’re a few hundred shy of that.

That would be a ridiculous thing to complain about though, wouldn’t it now? Wow I’m ONLY MAKING the median US salary for doing the thing that I love to do the most. Lol. So I’m chill, but I do get a little bit of pleasure every time I see a new paid sub hit.

I turned off the notifications for people who cancel their sub, but left them on BIG TIME for new subs. That’s a good strat, right there. All positive baby. Have a good Friday you idiots.

Pitcher Reports

Yesterdays Pitcher Debuts

Bryse Wilson (PHI): 2.0IP, 1H, 0ER, 0SO, 1BB

Max Rajcic (STL): 2.0IP, 2H, 1ER, 1SO, 0BB

Algo SP Ranks - Yesterday

1. Trey Yesavage

2. Joe Ryan

3. Sean Manaea

4. Ryan Weathers

5. Bryan Woo

6. Gage Jump

7. Jack Leiter

8. Parker Messick

9. Shane Baz

10. Noah Cameron

11. Aaron Nola

12. Ryan Johnson

13. Shane Drohan

14. Sonny Gray

Fantasy Points Leaders - Yesterday

1. Bryan Woo (vs. BAL): 35.35 Points

2. Gage Jump (vs. LAA): 31.35 Points

3. Sean Burke (vs. NYY): 30.89 Points

4. Parker Messick (vs. MIL): 27.3 Points

5. Joe Ryan (vs. TEX): 26.25 Points

6. Ryan Weathers (vs. CWS): 25.84 Points

7. Shane Baz (vs. SEA): 23.55 Points

8. Trey Yesavage (vs. BOS): 20.09 Points

9. Noah Cameron (vs. STL): 15.25 Points

10. Aaron Nola (vs. NYM): 14.45 Points

Whiffs Leaders - Yesterday

1. Sean Burke (CWS): 20 Whiffs (89 Pitches)

2. Sean Manaea (NYM): 16 Whiffs (95 Pitches)

3. Trey Yesavage (TOR): 16 Whiffs (95 Pitches)

4. Noah Cameron (KC): 14 Whiffs (108 Pitches)

5. Ryan Weathers (NYY): 14 Whiffs (88 Pitches)

6. Shane Baz (BAL): 13 Whiffs (99 Pitches)

7. Joe Ryan (MIN): 13 Whiffs (97 Pitches)

8. Parker Messick (CLE): 13 Whiffs (97 Pitches)

9. Bryan Woo (SEA): 12 Whiffs (89 Pitches)

10. Gage Jump (OAK): 12 Whiffs (107 Pitches)

Strike% Leaders - Yesterday

1. Joe Ryan (MIN): 57.7 Strike%, 30.9 Ball%

2. Sean Burke (CWS): 55.1 Strike%, 27.0 Ball%

3. Gage Jump (OAK): 54.2 Strike%, 32.7 Ball%

4. Ryan Weathers (NYY): 52.3 Strike%, 33.0 Ball%

5. Bryan Woo (SEA): 51.7 Strike%, 31.5 Ball%

6. Sean Manaea (NYM): 49.5 Strike%, 33.7 Ball%

7. Trey Yesavage (TOR): 48.4 Strike%, 30.5 Ball%

8. Jack Leiter (TEX): 47.4 Strike%, 34.2 Ball%

9. Parker Messick (CLE): 47.4 Strike%, 39.2 Ball%

10. Aaron Nola (PHI): 47.4 Strike%, 35.1 Ball%

11. Noah Cameron (KC): 46.3 Strike%, 37.0 Ball%

12. Shane Drohan (MIL): 46.2 Strike%, 38.5 Ball%

13. Sonny Gray (BOS): 46.1 Strike%, 29.2 Ball%

14. Shane Baz (BAL): 45.5 Strike%, 37.4 Ball%

15. Ryan Johnson (LAA): 39.3 Strike%, 36.0 Ball%

Pitches/Out (POUT) Leaders - Yesterday

1. Bryan Woo: 89 Pitches, 21 Outs, 4.24 POUT

2. Trey Yesavage: 95 Pitches, 22 Outs, 4.32 POUT

3. Sonny Gray: 89 Pitches, 20 Outs, 4.45 POUT

4. Ryan Weathers: 88 Pitches, 19 Outs, 4.63 POUT

5. Sean Burke: 89 Pitches, 19 Outs, 4.68 POUT

6. Shane Baz: 99 Pitches, 21 Outs, 4.71 POUT

7. Gage Jump: 107 Pitches, 20 Outs, 5.35 POUT

8. Parker Messick: 97 Pitches, 18 Outs, 5.39 POUT

9. Sean Manaea: 95 Pitches, 17 Outs, 5.59 POUT

10. Ryan Johnson: 89 Pitches, 15 Outs, 5.93 POUT

Velo Changes - Yesterday

Parker Messick’s FF velo (28 pitches) UP 2.4mph to 95.9

Parker Messick’s SI velo (26 pitches) UP 1.9mph to 94.0

Aaron Nola’s SI velo (32 pitches) UP 1.8mph to 93.0

Sean Burke’s FF velo (37 pitches) UP 1.7mph to 96.2

Aaron Nola’s FF velo (14 pitches) UP 1.5mph to 93.5

Pitch Mix Changes - Yesterday

Aaron Nola’s SI usage (33.0%) up 13.7 points

Bryan Woo’s SL usage (23.6%) up 11.8 points

Gage Jump’s CU usage (22.4%) up 10.2 points

Parker Messick’s SI usage (27.1%) up 10.8 points

Ryan Johnson’s SI usage (41.6%) up 16.4 points

Ryan Johnson’s FS usage (27.0%) up 10.3 points

Sean Manaea’s SI usage (27.4%) up 17.6 points

Sonny Gray’s FC usage (25.8%) up 10.7 points

Pitch Mix Changes - Last 3 Starts

Tanner Bibee Sinker: +23.0%

Bubba Chandler 4-Seam Fastball: -17.5%

Tanner Bibee 4-Seam Fastball: -16.9%

Gavin Williams 4-Seam Fastball: -16.8%

Kyle Freeland Sweeper: -15.6%

Roki Sasaki Forkball: -15.5%

Stephen Kolek Slider: +15.3%

Slade Cecconi 4-Seam Fastball: -15.3%

Roki Sasaki Split-Finger: +15.0%

Logan Webb Sinker: -15.0%

Kumar Rocker Sinker: -14.7%

Griffin Jax 4-Seam Fastball: -14.6%

Andrew Painter 4-Seam Fastball: -13.2%

Kyle Freeland Cutter: +12.6%

Randy Vasquez Sweeper: +12.5%

Walbert Urena Changeup: -12.5%

Joey Cantillo Cutter: +12.4%

Casey Mize Split-Finger: -12.4%

Brandon Sproat 4-Seam Fastball: +12.3%

Logan Gilbert 4-Seam Fastball: +12.0%

Bad Luck Pitchers - Last 15 Days

Andrew Morris - 42.0 RISP H%, 0.524 BABIP, 33.0 HR/FB, 184.0 Luck Score

Kai-Wei Teng - 30.0 RISP H%, 0.421 BABIP, 50.0 HR/FB, 176.0 Luck Score

Chad Patrick - 30.0 RISP H%, 0.438 BABIP, 43.0 HR/FB, 175.0 Luck Score

Braydon Fisher - 38.0 RISP H%, 0.4 BABIP, 33.0 HR/FB, 175.0 Luck Score

Kyle Bradish - 24.0 RISP H%, 0.447 BABIP, 43.0 HR/FB, 167.0 Luck Score

Matthew Liberatore - 44.0 RISP H%, 0.333 BABIP, 36.0 HR/FB, 167.0 Luck Score

Patrick Corbin - 46.0 RISP H%, 0.417 BABIP, 20.0 HR/FB, 165.0 Luck Score

Connelly Early - 25.0 RISP H%, 0.419 BABIP, 38.0 HR/FB, 165.0 Luck Score

Andrew Painter - 37.0 RISP H%, 0.35 BABIP, 29.0 HR/FB, 160.0 Luck Score

Shane McClanahan - 47.0 RISP H%, 0.462 BABIP, 17.0 HR/FB, 160.0 Luck Score

Good Luck Pitchers - Last 15 Days

AJ Blubaugh - 0.0 RISP H%, 0.167 BABIP, 0.0 HR/FB, 17.0 Luck Score

Miles Mikolas - 0.0 RISP H%, 0.171 BABIP, 0.0 HR/FB, 18.0 Luck Score

Mason Barnett - 0.0 RISP H%, 0.19 BABIP, 0.0 HR/FB, 21.0 Luck Score

Gage Jump - 0.0 RISP H%, 0.196 BABIP, 0.0 HR/FB, 22.0 Luck Score

Reid Detmers - 0.0 RISP H%, 0.109 BABIP, 9.0 HR/FB, 26.0 Luck Score

Tanner Bibee - 0.0 RISP H%, 0.086 BABIP, 15.0 HR/FB, 34.0 Luck Score

Javier Assad - 0.0 RISP H%, 0.146 BABIP, 15.0 HR/FB, 37.0 Luck Score

Yoshinobu Yamamoto - 0.0 RISP H%, 0.049 BABIP, 17.0 HR/FB, 37.0 Luck Score

Drew Rasmussen - 0.0 RISP H%, 0.2 BABIP, 11.0 HR/FB, 38.0 Luck Score

Ben Brown - 0.0 RISP H%, 0.276 BABIP, 0.0 HR/FB, 41.0 Luck Score

CSW% Leaders - Last 3 Weeks

Jacob Misiorowski - 81 TBF, 35.6% CSW%

Jack Perkins - 73 TBF, 34.3% CSW%

Dustin May - 74 TBF, 33.6% CSW%

Jesus Luzardo - 104 TBF, 32.6% CSW%

Ranger Suarez - 73 TBF, 32.1% CSW%

Sean Burke - 89 TBF, 31.7% CSW%

Drew Rasmussen - 90 TBF, 31.5% CSW%

Foster Griffin - 88 TBF, 31.5% CSW%

MacKenzie Gore - 103 TBF, 31.4% CSW%

Paul Skenes - 71 TBF, 31.3% CSW%

K% Leaders - Last 3 Weeks

Jacob Misiorowski - 81 TBF, 38.3% K%

Drew Rasmussen - 90 TBF, 36.7% K%

Paul Skenes - 71 TBF, 33.8% K%

Chase Burns - 70 TBF, 32.9% K%

Logan Gilbert - 70 TBF, 32.9% K%

Dustin May - 74 TBF, 32.4% K%

Ranger Suarez - 73 TBF, 31.5% K%

Roki Sasaki - 68 TBF, 30.9% K%

Sean Burke - 89 TBF, 30.3% K%

Joe Ryan - 97 TBF, 29.9% K%

K-BB% Leaders - Last 3 Weeks

Jacob Misiorowski - 81 TBF, 34.6% K-BB%

Drew Rasmussen - 90 TBF, 33.3% K-BB%

Paul Skenes - 71 TBF, 28.2% K-BB%

Bryan Woo - 98 TBF, 27.6% K-BB%

Logan Gilbert - 70 TBF, 27.1% K-BB%

Dustin May - 74 TBF, 27.0% K-BB%

Ranger Suarez - 73 TBF, 26.0% K-BB%

Joe Ryan - 97 TBF, 25.8% K-BB%

Yoshinobu Yamamoto - 75 TBF, 25.3% K-BB%

Chase Burns - 70 TBF, 24.3% K-BB%

GB% Leaders - Last 3 Weeks

Jose Soriano - 71 TBF, 63.6% GB%

Andrew Alvarez - 72 TBF, 58.3% GB%

Cristopher Sanchez - 77 TBF, 56.6% GB%

Dustin May - 74 TBF, 56.5% GB%

Roki Sasaki - 68 TBF, 56.1% GB%

Freddy Peralta - 94 TBF, 55.9% GB%

Framber Valdez - 99 TBF, 55.7% GB%

MLB Data Warehouse

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