The most electrifying moment of the NCAA Tournament came in a game that was all but out of reach already.
Tennessee left-hander Liam Doyle, on his third team in as many seasons, was not present for the Vols’ College World Series title in 2024. But over a short time in Knoxville, he’d nudged his way into a very select group: Along with Florida State’s Jamie Arnold and LSU’s Kade Anderson, Doyle is a candidate to be the first college pitcher taken in the draft.
Below is an analysis of the prospects in the farm system of the Miami Marlins. 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 »
A month ago, I checked in on Spencer Strider’s worrisome return from internal brace surgery. After four starts, Strider was 0-4 with a 5.68 ERA and a 6.40 FIP. His fastball had lost two ticks. His arm angle had fallen by seven degrees. He wasn’t getting chases. He wasn’t missing bats. In short, he didn’t look like Spencer Strider. “There’s no way for us to know how long it might take Strider to get back up to speed,” I wrote, “but the longer he looks like this, the more reason there is to worry.” One month later, I return to you with good news. Strider has made six more starts, and over the last five, he is starting to look different. He’s run a 2.70 ERA and a 2.35 FIP. His strikeout rate is up and his walk rate is down. You might even say that Strider is halfway back.
Once again, the velocity is the big ticket item, so let’s not waste any time:
On last Monday’s episode of the Rates and Barrelspodcast, Derek VanRiper raised a curious contradiction. “[Riley Greene is] first percentile in squared-up percentage, but 97th percentile in barrel rate, which — I’m sure there’s an explanation, I don’t know what it is just yet.” In response, Eno Sarris asked, “How can he barrel it without squaring it up?” It was a great question. In colloquial use, a squared-up ball is synonymous with a barreled ball. So what’s going on here, exactly?
The first thing to know: A squared-up ball is not necessarily a well-hit ball, as Davy Andrews highlighted when these stats were first made public last June. To understand why, one must first become acquainted with the Statcast definition of squared up. The MLB glossary entry for squared-up rate defines it thusly: “A swing’s squared-up rate tells us how much of the highest possible exit velocity available (based on the physics related to the swing speed and pitch speed) a batter was able to obtain – it is, at its simplest, how much exit velocity did you get as a share of how much exit velocity was possible based on your swing speed and the speed of the pitch.” If a hitter generates 80% of their possible exit velocity on a given swing and the ball is put in play, the batted ball is considered squared up.
We might quibble over the simplicity of that definition. In any case, as Davy showed, squared-up balls can be hit at super low speeds — if all it means is that a hitter channelled 80% of the potential exit velocity, then 80% of a half-swing is not very much exit velocity.
It’s also possible to do damage without making frequent flush contact; Greene shows us how. As Ben Clemens wrote just a couple of weeks ago, Greene is posting yet another excellent offensive campaign despite one of the higher strikeout rates among qualified hitters. He’s doing it unconventionally, swinging a ton in early counts to maximize damage. He’s also unconventional in another sense: He barrels the ball a ton while hardly ever squaring it up.
Part of the explanation for how this works is tied to the nature of swinging hard. When the bat speed statistics first dropped, it immediately became clear that there is a strong negative relationship between bat speed and the ability to square the ball up, at least by the Statcast definition. Click over to the bat tracking leaderboard, and the first thing you’ll see is this image, which shows the negative correlation between these two variables:
That’s no surprise. By the Statcast definition of a squared-up ball, slow swingers will always come out on top, because swinging slower allows for greater barrel accuracy. But it’s not all bad news for hard swingers. They also tend to produce the most valuable type of batted ball: a barrel.
Naturally, bat speed is correlated — positively — with barrel rate. A barrel, by the Statcast definition, is any type of batted ball where the expected batting average is at least .500 and the expected slugging percentage is at least 1.500. Barrels tend to be clustered in a pretty narrow exit velocity/launch angle range, somewhere north of 100 mph in terms of exit velocity and between 15 and 40 degrees or so of launch angle:
As the scatterplot below shows, the relationship between bat speed and barrel rate is extremely tight:
Greene’s average bat speed — 75.2 mph — is in the 91st percentile, so on some level, a high barrel rate and a low squared-up rate is to be expected. Even so, the spread between these two metrics is striking. His barrel rate is higher than his squared-up rate! Only one other hitter has a lower squared-up-minus-barrel rate — Aaron Judge. And that gives a hint into how, exactly, Greene is pulling this off.
Judge racks up an obscene number of barrels. Already, he’s mashed 60 this year, good for a 25.9% barrel rate. Like Greene, his squared-up rate is low — not as low, but comfortably a standard deviation below the mean. But also like Greene, Judge is amazing at converting his squared-up balls into barrels.
Nobody comes particularly close to Judge in this metric. Nearly 40% of his squared-up balls are converted into barrels, by far the highest rate in the league. (The league average is 13.6%.) As you might have guessed, Greene also excels here, ranking fifth among all hitters with at least 150 plate appearances:
So that’s the first part of this equation. Greene might not square the ball up that often, but when he does, it’s frequently crushed. The other part of the equation? Greene hits a ton of foul balls.
Greene’s 315 foul balls rank fifth among all hitters. When Greene makes contact with the ball, it goes foul 56% of the time. That mark ranks 11th out of all hitters with at least 150 plate appearances; besides Cal Raleigh, nobody else in Greene’s squared-up-to-barrel cohort fouls off nearly as many balls:
Minimum 150 plate appearances. Foul balls divided by pitches that end with contact.
All of those foul balls — in addition to his seventh percentile whiff rate — contribute to the squared-up percentage denominator, sinking Greene’s squared-up rate to the very bottom of qualified hitters. Importantly, foul balls are not part of the barrel rate denominator. The barrel rate that shows up on the Savant player page popsicles is a measure of barrels per batted ball event. A bunch of foul balls do nothing to affect a hitter’s barrel rate, but they’ll go a long way toward tanking a squared-up rate.
It isn’t necessarily intuitive to think that a hitter could be so good at barreling the ball and so bad at squaring it up. But breaking it down in this fashion, I think it starts to clarify this ostensible conundrum. Barrels are hard to come by. Even Judge, the barrel GOAT, hits one just over a quarter of the time he puts a ball in play. To be a barrel king like Judge or Greene, you don’t need to crush that many baseballs, at least on an absolute basis. But you better make sure that when the ball is in play, it gets smushed.
More than anything, I think these two data points paint a compelling picture of the modern hitter. Greene, perhaps more than any other hitter, goes for broke, almost like the anti-Luis Arraez. His swing tilt is the steepest in the sport. He mishits a bunch of pitches. He whiffs a ton. But when he connects, he does damage. And even though those damage events are relatively infrequent, they’re valuable enough to make him one of the better hitters in baseball.
Below is an analysis of the prospects in the farm system of the Washington Nationals. 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 »
Since 2021, Ke’Bryan Hayes is the leader in OAA among all infielders. As one of the best defenders in the sport, his floor is very high. Even with his career 87 wRC+, he has still been worth about 3 WAR per 162 games. If he could be a consistently average offensive player, he’d be one of the most valuable players at his position. This is a story we all know. With his name swirling in trade rumors, you have to imagine other teams are thinking about the possibility more so now than in the past. His issues stem from his suboptimal swing path, and if he’s traded, that will be what his new hitting coach tries to fix.
In the last calendar year (459 plate appearances), Hayes has a 60 wRC+. That is bad! But despite those struggles, it’s not like he is completely lacking offensive ability. His bat speed is only a little below average. His strikeout and whiff rates are better than league average over the past three seasons. He hits the ball hard more often than not, and he chases at about an average rate. Those are all things you could work with if you’re trying to manufacture a league average hitter. But if you’re doing all this and your path is rarely working in an ideal direction, you’ll always have limitations on what you do when you actually make contact. Read the rest of this entry »
“If you’re taking follow up questions, I’d like to hear how he differentiates intention and conviction from physical effort. How difficult is it to mentally commit to the pitch but only give it 90% so you keep some gas in the tank? Is it even possible to do so?”
Fortuitously, an opportunity to circle back with the future Hall of Famer came just a few days later when the Blue Jays visited Fenway Park for a weekend series. As expected — Scherzer likes talking ball — he was amenable to addressing said followup.
“Effort level and conviction are different,” Scherzer answered. “You can throw a pitch at 100% effort and still be mentally indecisive about it. You can also put out less than 100% effort and be mentally convicted in what you’re doing. Can things go hand-in-hand? Yes, but it’s not ‘more effort means more conviction.’ You can just be more mentally convicted.”
Scherzer had opined in our earlier conversation that you’re more likely to miss your spot when not fully convicted. What about throwing with full conviction at a 90% effort level? Does that make it easier to pinpoint your command? Read the rest of this entry »
Hello FanGraphs Members and readers. I hope all of you here in the U.S. are enjoying your holiday weekend. I’ve spent much of this week on vacation, so I didn’t get to watch as many games as I usually do. Still, I followed some of the action from afar, enough to see Clayton Kershaw record his 3,000th strikeout, the Yankees fall out of first place, and the All-Star Game’s starters be named.
Before we get to all that, I’d like to remind all of you that while anyone can submit a question, this mailbag is exclusive to FanGraphs Members. If you aren’t yet a Member and would like to keep reading, you can sign up for a Membership here. It’s the best way to both experience the site and support our staff, and it comes with a bunch of other great benefits. Also, if you’d like to ask a question for next week’s mailbag, send me an email at mailbag@fangraphs.com. Read the rest of this entry »
David Rodriguez Munoz/USA TODAY NETWORK via Imagn Images
We’ve now passed the mathematical halfway point of the 2025 season, which serves as a good time to check in on the ZiPS projected standings and analyze the ways in which reality has torn the preseason prognostications to shreds. While our depth charts utilize the ZiPS projections in the daily standings, this full ZiPS run utilizes the most robust methodology that I can assemble without pulling out what’s left of my increasingly dwindling supply of hair.
The ZiPS projected standings are the product of a million seasonal simulations. In order to get a better estimate of the upside and downside of the team, ZiPS takes an important additional step in simulating the roster itself before it ever considers a single game on the schedule. For example, in most of the New York Yankees’ simulations, Aaron Judge continues destroying pitchers on his merry way to what ZiPS projects will be an 11-WAR season, playing somewhere between 80% and 95% of the remaining games. Sometimes he regresses less from his current 13-WAR pace; other times, he drops off the pace a little bit more. Sometimes he’s dinged up a bit and misses time, and once in a while, he misses the rest of the season due to a serious injury. After an injury simulation, ZiPS fills in the depth charts in each sim based on who is available. When Judge is injured, the Yankees roster strength is typically made with more Jasson Domínguez, sometimes more Everson Pereira or Bryan De La Cruz, maybe some Spencer Jones, or as in simulation no. 111,535, a whole lot of Brennen Davis and Duke Ellis somehow. There’s a lot of PC power (I made an upgrade in May!) and a distressing amount of linear algebra involved.
Once ZiPS has a simulated distribution of a team’s roster strength, it then simulates the results of the rest of the season a million times. (Here I’ll note that a million simulations was not enough to get the Rockies into the playoffs.)
Below are the updated ZiPS projected standings through the games played on July 2. We’ll start our look with the AL East:
ZiPS Median Projected Standings – AL East (Through July 2)
Team
W
L
GB
Pct
Div%
WC%
Playoff%
WS Win%
80th
20th
New York Yankees
91
71
—
.562
61.0%
31.1%
92.1%
11.7%
95.6
86.9
Tampa Bay Rays
87
75
4
.537
19.0%
50.5%
69.5%
3.2%
90.8
82.3
Toronto Blue Jays
86
76
5
.531
17.7%
48.0%
65.7%
2.6%
90.5
81.6
Boston Red Sox
81
81
10
.500
1.7%
17.7%
19.4%
0.7%
84.1
75.6
Baltimore Orioles
77
85
14
.475
0.5%
8.3%
8.8%
0.5%
81.6
72.9
The Yankees offense slowed down considerably in June, which if you believe parts of Reddit, is somehow due to too much analytics. The more likely cause is that the Yankees are extremely reliant on Judge playing like a demigod, and when he has an ordinary month — a 157 wRC+ qualifies by his standards — the lineup has trouble absorbing what were down stretches for other key parts of the offense. ZiPS still sees the Yankees as the AL East team with the fewest potential problems over the next three months, even if it doesn’t think that Max Fried and Carlos Rodón will keep up their blistering pace.
The Blue Jays’ improvements this year should serve as a reminder (though they probably won’t), that people are too wedded to recent terrible/great performances. Coming off a 74-88 season in 2024, the Jays didn’t do a whole lot to really change the nature of their team, and the biggest thing they did do — signing Anthony Santander — hasn’t worked out yet. Sometimes gravity takes care of things!
The Rays have done their usual excellent patchwork job, but ZiPS isn’t really sold on the lineup maintaining wRC+ of 109 over the rest of the season. The computer is optimistic about Boston’s pitching staff, but the divisional math is getting difficult, and this is a team that didn’t really aggressively chase the playoffs when similarly situated in the race the last few years. ZiPS still thinks the O’s are a good team, albeit one with serious rotation issues, but they’ve banked so many losses that it’s getting hard to say that their current long shot odds are enough to keep 2025 a going concern.
Turning to the AL Central:
ZiPS Median Projected Standings – AL Central (Through July 2)
Team
W
L
GB
Pct
Div%
WC%
Playoff%
WS Win%
80th
20th
Detroit Tigers
93
69
—
.574
91.6%
5.5%
97.1%
7.3%
97.4
88.8
Cleveland Guardians
81
81
12
.500
4.6%
25.6%
30.3%
1.7%
85.8
77.2
Minnesota Twins
80
82
13
.494
3.1%
19.8%
22.9%
1.1%
84.7
76.0
Kansas City Royals
78
84
15
.481
0.8%
7.0%
7.8%
0.3%
81.2
72.7
Chicago White Sox
53
109
40
.327
0.0%
0.0%
0.0%
0.0%
56.9
48.6
The Tigers have pretty much ended this race, and with an excellent rotation headed by the best pitcher in baseball right now, Tarik Skubal, this is an extremely dangerous playoff team. Detroit’s projected final win total has increased more than any other team in the baseball, jumping from 81 wins to 93.
ZiPS still sees the Guardians and Twins as legitimate playoff contenders, though it doesn’t have a great deal of enthusiasm for their rosters. I don’t expect either team to be particularly aggressive at the trade deadline.
Jac Caglianone has struggled in the majors so far, and while I fully expect him to overcome his growing pains, it also means that he hasn’t done much to resuscitate an abysmal offense. Kansas City’s pitching has been excellent, but it’s simply not enough. The White Sox are projected to finish with a 12-win improvement compared to 2024! That’s… something, I guess. Somehow, the pitching has been approximately league average, and if they can actually finish the season that way, maybe pitching coach Ethan Katz deserves the Cy Young award.
Looking to the AL West:
ZiPS Median Projected Standings – AL West (Through July 2)
Team
W
L
GB
Pct
Div%
WC%
Playoff%
WS Win%
80th
20th
Houston Astros
94
68
—
.580
88.1%
9.8%
97.9%
12.9%
98.8
89.9
Seattle Mariners
85
77
9
.525
9.7%
50.2%
59.9%
3.4%
89.5
80.9
Texas Rangers
81
81
13
.500
2.1%
23.9%
26.1%
1.0%
85.2
76.5
Los Angeles Angels
74
88
20
.457
0.1%
2.5%
2.6%
0.0%
78.4
69.6
Oakland A’s
70
92
24
.432
0.0%
0.1%
0.1%
0.0%
72.9
64.3
The Astros’ penchant for middling starts showed itself again this year, but as has been the case in the past, no other AL West team took the opportunity to build up a big cushion in the division. A seven-game lead at this point of the season isn’t an insurmountable one, but most teams with that kind of lead end up finishing with it. That’s especially the case when the team holding the comfortable lead is also likely the “true” best team in the division. The Astros are no juggernaut, but they can ride Hunter Brown and Framber Valdez, and the offense has been better than it had any right to be given the de facto loss of Yordan Alvarez and the de jure one of Kyle Tucker.
The Mariners have been surprising in that their offense has been a lot better than their pitching, and while ZiPS sees that flipping to a degree, they have enough holes that they still look like a .530-.540 team; that won’t be enough in most situations unless the Astros collapse. ZiPS is projecting a lot more Jacob deGrom innings these days than it was in March, but the holes in the lineup and at the back end of the rotation and bullpen leave Texas projected as merely a second-tier Wild Card contender.
Despite a near .500 record, ZiPS is still bearish on the Los Angeles Angels. Elsewhere, ZiPS thought the A’s had a pitching problem, and that’s basically what has transpired; the team’s early contention was a mirage.
Shifting to the National League, staring with the East:
ZiPS Median Projected Standings – NL East (Through July 2)
Team
W
L
GB
Pct
Div%
WC%
Playoff%
WS Win%
80th
20th
Philadelphia Phillies
93
69
—
.574
65.1%
27.5%
92.6%
9.8%
96.9
88.4
New York Mets
90
72
3
.556
34.0%
46.8%
80.8%
6.3%
94.0
85.5
Atlanta Braves
79
83
14
.488
0.9%
9.1%
10.0%
0.5%
83.4
74.6
Miami Marlins
71
91
22
.438
0.0%
0.2%
0.2%
0.0%
75.3
66.5
Washington Nationals
69
93
24
.426
0.0%
0.1%
0.1%
0.0%
73.7
65.1
The Phillies have been tested by Aaron Nola’s poor start and subsequent injury, but this was always a compelling unit and they’ve carried on without serious trouble. They do need to score more runs to keep holding off the Mets, and Bryce Harper’s injury highlighted the fact that he, Kyle Schwarber, and Trea Turner have been holding up the lineup.
The Mets have cobbled together an impressive rotation seemingly from spare parts, and ZiPS is actually fairly confident they’ll be fine after a rather gloomy June. ZiPS sees the Mets as being as strong as the Phillies, but the Phillies get a projected edge by virtue of an easier schedule (ZiPS says .497 vs. .505 for the Mets) and the two-game “head start” on the second half.
ZiPS still thinks Atlanta is a very competent team, but even if you assume that there aren’t more nasty pitching injury surprises waiting and that there’s nothing fundamentally broken about Ozzie Albies or Michael Harris II, the team has a 39-46 record, and is at the point where they have to consider short-term retooling.
The computer thinks the Nationals are better than the Marlins, but are now too far behind to be a factor in the playoff race.
Moving to the NL Central:
ZiPS Median Projected Standings – NL Central (Through July 2)
Team
W
L
GB
Pct
Div%
WC%
Playoff%
WS Win%
80th
20th
Chicago Cubs
92
70
—
.568
62.5%
27.0%
89.5%
6.9%
96.1
87.4
Milwaukee Brewers
88
74
4
.543
27.1%
43.2%
70.3%
4.2%
92.5
83.7
St. Louis Cardinals
84
78
8
.519
7.4%
28.8%
36.3%
1.3%
88.2
79.6
Cincinnati Reds
82
80
10
.506
3.0%
16.3%
19.3%
0.5%
85.6
76.7
Pittsburgh Pirates
73
89
19
.451
0.0%
0.7%
0.7%
0.0%
77.3
68.7
ZiPS was a massive believer in the Cubs in the preseason, being head-over-transistors in love with the team’s offense and defense, and not absolutely hating the pitching staff. That’s about how the team has played, so the projections naturally haven’t changed too much. ZiPS also saw the Brewers as the biggest danger to the Cubs, and again, it hasn’t moved off that position.
St. Louis and Cincinnati are both above .500, but the computer still sees the Cards as too broadly mediocre and the Reds as having too many positions that have been chasms for either to be a divisional threat without some things going their way. Both are plausible Wild Card teams.
The projections are actually bullish on the Pirates scoring more runs in the second half, with much of the lineup underperforming their peripheral numbers, but it’s largely in the category of “too little, too late.”
Lastly, let’s look at the NL West:
ZiPS Median Projected Standings – NL West (Through July 2)
Team
W
L
GB
Pct
Div%
WC%
Playoff%
WS Win%
80th
20th
Los Angeles Dodgers
99
63
—
.611
95.9%
3.9%
99.7%
19.6%
103.7
95.1
San Diego Padres
86
76
13
.531
3.1%
51.4%
54.5%
3.2%
90.6
81.5
San Francisco Giants
82
80
17
.506
0.6%
22.7%
23.3%
0.6%
86.4
77.6
Arizona Diamondbacks
82
80
17
.506
0.5%
22.3%
22.8%
0.9%
86.2
77.7
Colorado Rockies
49
113
50
.302
0.0%
0.0%
0.0%
0.0%
53.6
45.1
ZiPS was always skeptical of the notion that the Dodgers ought to be projected for a crazy number of wins, with the preseason projections thinking that the biggest benefit to come from the team’s offseason was protecting itself from injury downside. I don’t always agree with my creation, but I did in this case. That’s sort of how things have played out; the injuries hit the pitching as hard as they usually have, but the high-end offensive talent has compensated, and team is on a 102-win pace. I’ll note that this ZiPS run was a late-night one, and does give a pretty big hit to Max Muncy’s playing time after the grisly injury he sustained in yesterday’s game. In reality, the Dodgers have a large enough lead that his exact timetable shouldn’t change the projections significantly.
The Padres have been solid and are a first-tier Wild Card candidate, but they’ve probably fallen too far behind to scare the Dodgers. It doesn’t help that they’ve gotten basically no offense out of left field and designated hitter this year. The Giants are hitting their projections after falling short the last few years, but they have a similar problem to the Padres and have gotten sub-.700 OPS performances at prime offensive positions (first base, right field, and DH).
The Diamondbacks have disappointed, in large part due to a number of serious injuries, and the team, seeing the writing on the wall, has been hinting about being short-term sellers this summer. If they aren’t, however, ZiPS still thinks that they’re good enough to end up with a Wild Card spot without anything ridiculous happening.
For their part, the Rockies can be content with the fact that they’re one of the 30 best teams in the majors.
It was ugly, it was labor-intensive, it was sobering — and probably humbling. Clayton Kershaw entered Wednesday night’s start in Los Angeles needing just three strikeouts to reach 3,000 for his career. Facing the White Sox, a team with the American League’s worst record (28-57) and the majors’ second-highest strikeout rate against lefties (26.6%), the 37-year-old southpaw repeatedly struggled to get from strike two to strike three, and only reached the milestone on his 100th and final pitch of the night. By the time he caught Vinny Capra looking at a slider on the outside edge of the plate, the Dodgers trailed 4-2, and Max Muncy had just departed with a serious knee injury while applying the tag on an attempted steal of third base. It took a textbook ninth-inning rally for the Dodgers to salvage a victory.