Connelly Early has emerged as one of Boston’s best pitching prospects. A fifth-round pick in 2023 out of the University of Virginia — he’d spent his first two collegiate seasons at Army — the 23-year-old left-hander has a 40.4% strikeout rate, a 1.88 ERA, and a 1.73 FIP over six appearances comprising 24 innings with Double-A Portland. Moreover, he’s allowed just 12 hits, none of which have left the yard. Assigned a 35+ FV when our 2024 Red Sox Top Prospects list came out last July, he was recently added to The Board for 2025 and bumped up to a 45+.

Early began opening eyes last summer in his first full professional season. Effectively establishing himself as a sleeper within a well-stocked Red Sox system, the Midlothian, Virginia native threw 103 2/3 innings between his current level and High-A, logging a 3.99 ERA and a 3.24 FIP, as well as a 30.8% strikeout rate that ranked highest among Boston farmhands who threw at least 80 frames. Early did so with both a better understanding of his craft and a revamped repertoire.

“From college, the only same grip I have is my [four-seam] fastball,” Early told me at the onset of the current campaign. “My changeup is completely different. The curveball grip is different. The sweeper is completely new. My cutter/gyro slider is pretty much the same, but I’ve worked a lot more on it this year than I did in college.” Read the rest of this entry »

Aaron Nola is having a truly awful season: Through nine starts, he’s 1-7 with a 6.16 ERA, which is bad for any pitcher. For the putative no. 2 starter on a big-market team whose fans are getting pretty tetchy about not having won a World Series in a while, it’s disastrous. Especially when said pitcher is in year two of a seven-year, $172 million contract. In fact, you’d have to say Nola has been surpassed in the pecking order by Cristopher Sánchez at the very least, and possibly by newcomer Jesús Luzardo.

Everyone’s got their theories as to what’s gone wrong. Davy Andrews tried to figure out Nola’s deal last month. Timothy Jackson of Baseball Prospectus speculated earlier this week that there’s something off with his fastball, and that lefty-heavy opposing lineups might be to blame. The Phillies, for their part, just put Nola on the (non-COVID) IL for the first time in almost eight years. The stated reason is an ankle injury Nola says is messing up his mechanics, but a player in a slump this bad can almost always use some time off to clear his head as well. Read the rest of this entry »

The Reds rotation has been an undeniable strength this season. The team’s starters are third in park- and league-adjusted ERA, and their collective peripherals mostly back it up; they’re 10th in park- and league-adjusted FIP. Hunter Greene has been phenomenal, Nick Lodolo has made some key command improvements, and Brady Singer has added a secret ingredient, though his ERA has ballooned to over 5.00 since Michael Baumann wrote about him last month. But the pitcher leading the team in ERA is Andrew Abbott, and before Baumann can write about his third Cincinnati starter this year, I’d like to take a stab at puzzling out what’s gone right for the 25-year-old lefty.

What if I told you that while Abbott’s fastball is coming in about a tick slower than normal and his arm slot is five degrees higher than usual, he has somehow managed to slightly improve the pitch’s Stuff+ score? You might be a bit confused, as the trend for many pitchers has been to try and lower their arm slot in an effort to flatten out their four-seamers. A flatter approach angle often leads to more swings and misses at the top of the zone and weaker contact, as batters have trouble squaring up a pitch that looks like it’s rising above their bat. Abbott has always had a high release point, but his 50 degree arm angle is now the 11th-highest arm slot among qualified left-handed pitchers.

Research into the relationship between a pitcher’s arm slot and the shape of their pitches has shown that as a pitcher’s arm slot rises, they’re able to generate more backspin. More backspin allows them to create more induced vertical break (IVB). Put simply, IVB is a function of arm angle. The other thing about a high arm angle is that purer backspin fastballs tend to cut less horizontally. Abbott has managed something somewhat tricky with his new arm slot:

Despite the higher release angle, Abbott hasn’t experienced a corresponding increase in the amount of carry on his heater. The other odd thing is that he’s been able to maintain the higher-than-normal horizontal break he generates with the pitch. Because he’s now throwing from a higher slot, the pitch has a much steeper approach angle, and the pitch’s cutter-esque shape provides a wider horizontal approach angle.

Abbott’s four-seamer now stands out both because it doesn’t carry as much and because it cuts more than you’d expect. A “dead zone” fastball describes a pitch with unspectacular movement traits — a fastball that moves as expected. Research has shown that a fastball’s dead zone is a function of the pitcher’s arm angle, leading to the concept of a dynamic dead zone (DDZ). Using Alex Chamberlain’s calculated DDZ deltas (based on work done by Max Bay), we can see just how much Abbott’s fastball falls outside of what the batter expects based on his arm slot:

Remember, magnitude is what matters when evaluating a pitcher’s DDZ, so Abbott’s negative vertical dead zone delta isn’t necessarily a bad thing, though his +2.8 horizontal dead zone delta is very much a good thing.

The results have been positive so far. His whiff rate on the pitch has improved from just over 19% during his first two seasons to 25.2% this year. The additional swings and misses are nice, but he’s also turned his heater into a contact-suppression monster. Just look at some of these key contact metrics from Statcast:

Abbott’s expected wOBA on contact when he throws his fastball is just .297, 17th among the 248 pitchers who have thrown at least 100 four-seamers this year. The hard-hit and barrel rates against the pitch are miniscule. The most impressive aspect of his contact management comes from Statcast’s new bat tracking data. Opposing batters produce the second-highest average bat speed in baseball against Abbott’s fastball, but they “square-up” the pitch at the third-lowest rate on a per swing basis and they produce a “blast” against his heater at the fourth-lowest rate in baseball. In other words, batters really gear up when they see Abbott’s fastball because their eyes are telling them that the pitch is very hittable, but they simply cannot make solid contact against it.

To connect this all back to the pitch’s shape, I expect that this contact suppression is all linked to the amount of horizontal break Abbott generates with his fastball. With his high arm slot, a batter expects to see a straight four-seamer with tons of carry. Instead, they’re presented with a cutting fastball that doesn’t have as much carry as you’d expect. Rather than swing completely under the pitch like they might if it had a ton of carry, they’ll often put it in play, but it’s weak contact because the pitch doesn’t come in where they expect it to horizontally. So much of the contact he generates with the pitch is off the end of the bat or in on the handle, leading to weak fly balls and popups.

Of course, location matters, too. In the first table above, I included average vertical location, because location is a critical component of vertical approach angle. Abbott is locating his fastball much lower in the strike zone this year, which, along with his higher arm slot, has contributed to his steeper approach angle. He’s also been very consistent with his location on the outer half of the plate to right-handed batters:

Because the horizontal break on the pitch causes it to tail away from righties, his location is perfect for inducing weak contact off the end of the bat while avoiding the barrel if it ends up over the heart of the plate.

In case you were worried about Abbott’s dip in velocity, I’m happy to report that his heater has had a bit more zip during his last few starts:

A shoulder injury last August cut short his 2024 season, and he entered spring training a little bit behind schedule because of it. I suspect that he was still ramping up during his first few starts of the season and that his velocity will be back to normal moving forward.

Beyond his fastball and the new arm slot, there’s one key change to the rest of Abbott’s repertoire that could be contributing to his success. He’s getting about three more inches of drop on his changeup while still maintaining the pitch’s above-average horizontal break. The whiff rate on that pitch has improved by about four points, and the expected wOBA against it is just .222. More importantly, the change in shape has allowed him to differentiate the pitch from his fastball a bit more:

Please excuse the color differences from year to year in the plots above. In Abbott’s pitch plot from 2024 on the left, his changeup (the black blob) somewhat overlaps with his fastball (the blue blob). In 2025, on the right, his offspeed pitch (the green blog) is wholly distinct from his heater (the blue blob).

Abbott briefly discussed the evolution of the pitch with Charlie Goldsmith of the Dayton Daily News in late April:

It’s come a long way. I talked with Nick Martinez and a bunch of the guys about how to throw it, grips and all of that stuff. It’s finally coming around. It’s not to where I think it can be yet, but it’s gotten a lot more consistent.

He has increased his use of his changeup from 16.3% last year to 21.3% this year, and it has proven to be a potent weapon against right-handed batters.

With a new arm slot, a deceptive fastball, and an improved changeup in hand, Abbott has truly elevated his arsenal. His walk rate is a little high right now, but his strikeout rate is 30.3%, and the contact suppression improvements he’s made to his heater have almost entirely negated those additional free passes. The top-line results certainly speak for themselves: Abbott has allowed more than one run in just one of his starts this year, and that happened to be the only start in which he’s allowed more than four hits. As long as batters are unable to square up his fastball, we could be seeing a significant step forward from the young lefty.

I spend a lot of time saying the word “April.” It’s a convenient excuse to wave away any notion of changing my mind drastically on a player after two or three weeks of the season. But April isn’t actually meaningless, and as we head toward June, we’re already nearly a third of the way through the season. A lot of the stuff we’ve seen isn’t just a rough patch or a freak BABIP, but career trajectories changing, and that has consequences for the players and their teams. One of the most common questions about players I get in chats is some variation of “What does ZiPS think now?” I can’t answer them all, mainly because “doughy middle-aged nerd talks to his magical baseball box for an hour” sounds like the worst episode of Black Mirror ever. That said, because I do full in-season runs of ZiPS in the middle of every month, now seems like a good time to get some projectionist changes of heart for the overachieving and underperforming players.

So whose changing fortunes are most likely to lead to changed destinies? Well, to get an idea of which trajectories have changed the most, I took the current 2026 projected numbers for each player and compared them to the 2026 ZiPS projections from before this season began. We’ll start with the good news, because I’m a Baltimore native and an Orioles fan, so I need something sunny first. These are park-neutral projections, and I eliminated anyone who is projected as below replacement level, since we’re focusing on major league-relevant players.

Yesterday, sometimes known as “one Orioles loss ago,” I took a look at the hitters whose 2026 projections have changed the most since the start of this season, so now it’s the pitchers’ turn. Since we’re talking about pitchers, I also took out the guys who have missed most of the season due to injury, or the bottom 25 would just be a list of pitchers who might need Tommy John surgery.

Here are the pitchers whose 2026 ZiPS projections have improved the most since the beginning of this season, sorted by the greatest gains in projected WAR: Read the rest of this entry »

Below is an analysis of the prospects in the farm system of the Cleveland Guardians. Scouting reports were compiled with information provided by industry sources as well as my own observations. This is the fifth year we’re delineating between two anticipated relief roles, the abbreviations for which you’ll see in the “position” column below: MIRP for multi-inning relief pitchers, and SIRP for single-inning relief pitchers. The ETAs listed generally correspond to the year a player has to be added to the 40-man roster to avoid being made eligible for the Rule 5 draft. Manual adjustments are made where they seem appropriate, but we use that as a rule of thumb.

A quick overview of what FV (Future Value) means can be found here. A much deeper overview can be found here.

All of the ranked prospects below also appear on The Board, a resource the site offers featuring sortable scouting information for every organization. It has more details (and updated TrackMan data from various sources) than this article and integrates every team’s list so readers can compare prospects across farm systems. It can be found here. Read the rest of this entry »

On Monday night, just after midnight, Major League Baseball released a bevy of new bat tracking data. It was accompanied by the now customary combination of an explainer from Mike Petriello and a breakdown of the most extreme players from David Adler. Like many people, I’m still trying to wrap my arms around how these data work and what we might be able to learn from them. Bat tracking metrics are complicated because swings are complicated. The various numbers are interconnected, dependent on location, pitch type, and the batter’s tendencies and intent. There’s no one perfect way to swing, and it’s easier to draw inferences about individual players than overarching conclusions. My first takeaway was that something weird is going on with Leody Taveras. I’ll write about that tomorrow, but for now I’d like to take the new metrics for a test drive. We’ll look at two specific pitch archetypes to get a sense of what these numbers do and how they look in action.

Let’s start as simple as we can. I pulled the league-average numbers for swings against four-seam fastballs right down the middle in zone 5, but I split them up. The top row shows the numbers only for competitive swings on hard-hit balls. The bottom row shows the numbers only for competitive swings that resulted in whiffs. Let’s see how these two swings might differ.

Plenty of differences jump out at you here. When a hitter misses a four-seamer right down the middle, it’s usually because they’re behind on it or under it. All of the new metrics are telling us that in their own way. I’ll capitalize all the metrics in this article, just so we get comfortable with their names and definitions. Read the rest of this entry »

Back in the halcyon days of 2021, things were looking up for Robbie Ray. After a promising but inconsistent start to his career, he put everything together all at once and won a Cy Young award. He hit free agency on the back of that season and signed a deal that guaranteed him five times what he’d made in the majors so far. The future was bright – except that Ray turned around and put up a miserable 2022 campaign, meaningfully worse across the board despite pitching in Seattle, where trained squirrels can go six innings and give up two runs in the pitcher-friendliest ballpark in the big leagues. Then he got hurt. And later got traded as salary ballast. Life comes at you fast.

Ray would hardly be the first pitcher to spike some hardware in a weak year — only six AL pitchers reached 4 WAR in 2021; Ray wasn’t one of them — and then fade away. Rick Porcello says hi, by the way. If Ray’s last act was keeping replacement-level time on the Giants, at least he got his one big payday. Expectations weren’t high, and when he was shut down with an injury only a month after returning in the second half of last year, they fell further still.

Of course, I’m writing this article, so you know that hasn’t continued. Rather than teeter into irrelevance, Ray has come out strong to start 2025. He looks as good as he has since his award-winning season – and arguably even better. So let’s look at how he’s doing it now, because whether you’re a long-time Ray-head or just seeing the first Rays of light this year, he’s a strange enough – and fun enough – pitcher to be worth taking notice of. Read the rest of this entry »

At one point or another, most of us have done the thing where we go to the refrigerator in search of a snack, decide nothing looks appealing, close the door, then come back 15 minutes later to check again and somehow feel annoyed when the contents remain unchanged. It’s a near-universal experience despite the illogical nature of the whole thing. And when we relate this experience to others, it’s always the refrigerator, even though we could just as easily choose to re-check a cabinet or the pantry. But I think this is where we do get some credit for being slightly logical. The contents of a refrigerator are far more transient than the dry and canned goods stored elsewhere in the kitchen. The fridge is where we keep the perishables, the food that by definition isn’t meant to last long. Food in the refrigerator comes and goes, rots and gets tossed, all at a much faster rate than elsewhere in the kitchen.

Park factors work a little like a refrigerator. They present a single value that contains within it the influence of several different components that vary from park to park, much in the way my refrigerator is two-thirds beverages and cheese, while yours probably has fruits and veggies and maybe some leftover ham from Easter that you should definitely throw away. Some of the components captured by park factors are static and easily measured, like surface dimensions and wall height. They’re the condiments that remain consistently stocked in the fridge door.

But sometimes you throw open the door to a park’s refrigerator and get whacked in the face with a stench of unknown origin. And that stench becomes all the more potent as it mingles with a to-go box of leftover Thai and a carton of milk growing more questionable by the day. Likewise, wind speeds, the daily dew point, and the angle of the sun at different points relative to the solstice all fluctuate and interact in a way that a scientist with the right expertise could tease out and quantify, but that remain a bit fuzzy to the casual observer.

It was these squishier components of park factors, the ones that ebb and flow as weather cycles in and out and the seasons change, that sparked my curiosity about how park factors might vary over the course of such a long season. Traditionally, park factors are calculated over multiple full seasons of data (though sometimes single-season park factors are useful for capturing more recent trends), and that’s not just a sample size consideration. A full season of data is needed to ensure a balanced schedule where every opponent faced on the road is also faced at home and vice versa. This ensures that when comparing runs per game at home to runs per game on the road, the team quality is consistent in both subsets. Read the rest of this entry »

Ben Lindbergh and Meg Rowley banter about Elly De La Cruz’s unspectacular start to the season, the firing of Brandon Hyde and what it would take for them to blame a manager for a team’s disappointing season, the hubbub about Juan Soto’s hustle, MLB’s announcement about Rivalry Weekend’s success, Kyle Schwarber and the lineage of non-Hall-of-Fame hitters who’ve appeared to have a chance at “magic number” milestones, MLB’s attempt to define the swing, the overwhelming array of Statcast stats, the latest call for Shohei Ohtani to specialize, and more.

Audio intro: Gabriel-Ernest, “Effectively Wild Theme”
Audio outro: Jonathan Crymes 2, “Effectively Wild Theme”

Link to FG on the O’s
Link to FG playoff odds
Link to BaseRuns standings
Link to Girardi firing article
Link to ESPN on Valentine
Link to FG on the Twins
Link to Soto flight confusion
Link to Ben on Jeter vs. Cano
Link to Soto in-game interview info
Link to Ben on in-game interviews
Link to Soto plays
Link to Mendoza quote
Link to MLB press release
Link to Vedder Cup story
Link to Schwarber HR stat
Link to Stathead query
Link to most HR since 2022
Link to swings article 1
Link to swings article 2
Link to new Savant leaderboard
Link to article on new metrics
Link to FG on Royals pitching
Link to Ohtani strikeout
Link to Pereda ball
Link to Ohtani article
Link to Sam on Ohtani

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