Have you ever had a friend enthusiastically recommend that you watch a TV show and then say, “It takes a few episodes to get going, and the timeline gets weird at the end, and one or two of the main characters can be kind of annoying, but other than that it’s SO GOOD.” And initially you might be put off, thinking that a truly good show wouldn’t require that many qualifiers. Sometimes you’re right about that, but sometimes it turns out the show is Parks and Recreation and even though the first season is about as appealing as living in a pit, the rest of the show is an absolute treat.

Sometimes small components of a larger body of work do a poor job of representing the work as a whole. The oddities that occur in small samples are likely not a new concept to FanGraphs readers, nor will it shock anyone when I note that what constitutes a small sample depends on what exactly we want to measure. Recently, the fine folks at MLB Advanced Media gifted us with a handful of new metrics that make use of Statcast’s bat tracking technology. Every time we dig into a new metric, we must consider the appropriate serving size to satiate our hunger for knowledge, lest we find ourselves hangrily generating takes that we later regret.

For this article, we’ll attempt to determine appropriate sample thresholds for measuring a hitter’s average bat speed; so that players without bats don’t feel left out, we’ll do the same for sword rate from the pitcher’s perspective. For many metrics, the sample size is measured in pitches or plate appearences, but since both bat speed and sword rate are tied specifically to bat movement, their samples will be composed of swings. To determine reasonable sample sizes, I used the split-half correlation method. The idea is to randomly select two samples of size X from a player’s collection of swings, calculate the player’s average bat speed or sword rate for both samples, lather/rinse/repeat for a bunch of players, then take the full set of two-sample pairs for all players and see how well they correlate. We complete the experiment by repeating the process for progressively larger sample sizes. And just to be super thorough, we’ll re-run the experiment several times and average the correlation values. Read the rest of this entry »

At last we reach the end of my annual series spotlighting the weakest positions on contenders. While still focusing upon teams that meet that loose definition of contenders (Playoff Odds of at least 9.5%), I have also incorporated our Depth Charts’ rest-of-season WAR projections into the equation for an additional perspective. Sometimes that may suggest that the team will clear the bar by a significant margin, but even so, I’ve included them here because the team’s performance at that spot is worth a look.

At the other positions in this series, I have used about 0.6 WAR or less thus far — which prorates to 1.0 WAR over a full season — as my cutoff, but for the designated hitters, I’ve limited the list to the teams below zero, both to keep the length manageable and to account for the general spread of value. In the third full season of the universal DH, exactly half the teams in the majors have actually gotten 0.0 WAR or less from their DHs thus far, four are in the middle ground between 0.0 and 1.0, eight are between 1.0 and 2.0, and three are above 2.0. DHs as a group have hit .245/.321/.421 for a 109 wRC+; that last figure is up three points from last year, and seven points from the last time I did this list, via a slash line that’s virtually identical (the majors’ slugging percentage as a whole has dropped 17 points from last season).

This year, we’re seeing a greater number of teams invest more playing time in a single DH. Whereas each of the past two seasons saw three players reach the 500 plate appearance threshold as DHs, this year we’re on pace for five; similarly, 11 player are on pace to reach 400 PA as DHs, compared to eight last year. That said, many of the teams on this list are the ones that haven’t found that special someone to take the lion’s share of the plate appearances.

Read the rest of this entry »

Welcome to another edition of Five Things I Liked (Or Didn’t Like) this week. This is a strange week for the column. The All-Star break cut into the number of games available to watch; mathematically speaking, fewer games means fewer chances for weird things to happen. I took a weekend trip and didn’t watch any MLB games on Friday or Saturday. I’m also hard at work on the upcoming trade value series, which comes out between the All-Star game and the deadline every year – check back Monday for that annual exercise’s kickoff. In any case, that means this is a hodgepodge list: some stuff from this week, sure, but also plays and series that got left out last week, and some low-level baseball to boot. Thanks, as always, to ESPN’s Zach Lowe for the format idea. And two quick programming notes: I won’t be doing my regular Monday chat or Five Things next week; instead, I’ll be doing a jumbo-sized chat Friday morning.

1. The New Derby Format
The modern swing-happy Home Run Derby has been a great success, at least as far as I’m concerned. It’s more fun to see sluggers launch as many home runs as they possibly can than it is to see them agonize over every single swing. The format wasn’t perfect, though. I’m not trying to be a grump about it – is it even possible to be a grump about the Home Run Derby? – but there was one downside to the timed-round format: not enough drama.
Read the rest of this entry »

Welcome back to Top of the Order, where every Tuesday and Friday I’ll be starting your baseball day with some news, notes, and thoughts about the game we love.

It’s amusing that we consider this morning the start of the second half of the Major League Baseball season, considering 1,449 games have been played, with only 981 left on the schedule. Yet, of course, we know why that’s the case: The All-Star break offers players and coaches a little breather and provides an easy dividing point in the action. Besides, “first uninterrupted segment of the season” is quite the mouthful.

So, anyway, now that the lopsided first half is over, I figured this would be a good time to take a high-level view of where things stand as we begin the second section of the season. Let’s run things down division by division, first covering the National League from East to West before doing the same for the American League. Read the rest of this entry »

Ben Lindbergh and Meg Rowley banter about the highlights of the All-Star Game, a hypothetical Evan Longoria unretirement scenario, the newly announced 2025 regular-season schedule (featuring Tokyo contests and a “Rivalry Weekend”), a baseball movie-mention conspiracy theory, players possessed by Gameday 3D, the timing of Martín Maldonado’s DFA, and the potential effect of moving the foul lines. Then (36:54) they bring on FanGraphs lead prospect analyst Eric Longenhagen to break down the standout trends, teams, and players of the amateur draft, the demographics of amateur baseball, trading draft picks, and more.

Audio intro: Kite Person, “Effectively Wild Theme”
Audio interstitial: Benny and a Million Shetland Ponies, “Effectively Wild Theme (Pedantic)”
Audio outro: Grant Brisbee, “Effectively Wild Theme”

Link to Skenes ASG highlights
Link to Ohtani ASG highlights
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Link to possessed player clip 2
Link to Maldonado leaderboard
Link to MLBTR on Maldonado
Link to Ben on the foul lines
Link to Eric’s Day 1 recap
Link to Eric’s Day 2 recap
Link to Condor HR record
Link to college offense article 1
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Link to Nightengale tweet
Link to ESPN top 100 athletes
Link to Manfred on draft picks
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The 2024 MLB Draft has concluded, and it’s time to make definitive judgments about which teams did the best and worst before many of the players have even signed their deals. Just kidding — while I do have a few team-specific thoughts below, this piece is more about what unfolded across the draft as a whole. I texted folks in the industry (scouts, executives, and agents) to see what they thought of the overall results, and if they noticed a continuation of broad industry trends or observed behavior specific to this year’s proceedings. I’ve incorporated some of their thoughts below. Read the rest of this entry »

The Toronto Blue Jays’ Matt Hague is earning a reputation as one of the best young hitting coaches in the game. Promoted to the big league staff this year after a pair of seasons spent working at Double-A, followed by a year in Triple-A, the 38-year-old former first baseman is one of the team’s two assistant hitting coaches. (Hunter Mense, who was featured in our Talks Hitting series in July 2022, is the other, while Guillermo Martinez is the lead hitting coach and Don Mattingly serves as the team’s offensive coordinator.)

Hague’s playing career included several strong seasons in the minors, but only a smattering of opportunities in the majors. The Bellevue, Washington native logged just 91 big league plate appearances, 74 with the Pittsburgh Pirates and 17 with the Blue Jays. And while what he experienced over 11 professional campaigns influences the approach he brings to his current role, what he’s learned since is every bit as important. Like most coaches who excel at their jobs, Hague is not only an effective communicator, he embraces modern training methods.

Hague sat down to talk hitting when the Blue Jays visited Fenway Park in late June.

———

David Laurila: You last played professionally in 2018. What do you know now that you didn’t know then?

Matt Hague: “Oh, man. That’s a really good question. I think the how. As a coach you’re kind of forced to unfold things that you thought as a player, but didn’t necessarily go really deep into, or didn’t have the chance to go as deep into. The importance of certain things shift on what you want to emphasize. That’s because you’re looking out for a whole group, even though it’s an individual plan, or an individual mover — a certain trait that an individual person needs to develop and continue to get better at.

“There are a lot of different pathways on how to bring out certain stuff, and the more you evolve as a coach, your perspective shifts. You try to find understandings on the mentality side, the game-planning side, the technical part of it. So yeah, I think it’s that you’re just forced to find out more. You’re forced to have a broader perspective than you had as a player.” Read the rest of this entry »

Today the Killers list turns the corner — or rather turns to the teams receiving less-than-acceptable production in the outfield corners. While still focusing on teams that meet the loose definition of contenders (Playoff Odds of at least 9.5%), and that have gotten about 0.6 WAR or less out of a position thus far — which prorates to 1.0 WAR over a full season — I have also incorporated our Depth Charts’ rest-of-season WAR projections into the equation for an additional perspective. Sometimes that may suggest that the team will clear the bar by a significant margin, but even so, I’ve included them here because the team’s performance at that spot is worth a look.

As noted previously, some of these situations are more dire than others, particularly when taken in the context of the rest of their roster. I’ve batched the two corners together into one supersized roundup because three of the seven teams below the WAR cutoff for left field also make the list for right field, and because there’s plenty of crossover in play with regards to personnel. The capsules are listed in order of their left field rankings first, while noting those three crossover teams with an asterisk. As always, I don’t expect every team here to go out and track down upgrades before the July 30 deadline, but these are teams to keep an eye on. All statistics are through July 14.

Read the rest of this entry »

Let’s start with a riddle: Team A and Team B have both played 98 games this season. Due to the vagaries of extra innings and unplayed bottoms of ninths, Team A’s pitchers have thrown four more innings than Team B’s pitchers. However, Team B’s pitchers have faced 259 more batters than Team A. How is this possible?

OK, yeah, so this was actually a pretty easy riddle. The answer is that Team B’s pitchers stink, while Team A’s pitchers are very good. Team A gets a higher percentage of batters out, which means that it faces fewer batters per inning. Let’s put some names and numbers to our hypothetical, shall we? Allow me to introduce you to the Mariners and the White Sox.

The Mariners have better pitchers and a better defense behind them. Consequently, the White Sox have allowed a whopping 130 more runs. But take a look at the last row of that table. The White Sox have thrown the most pitches in baseball, while the Mariners have thrown the second fewest. Having good pitching and good defense has allowed them to throw 1,477 fewer pitches than the South Siders. The average team throws 146 pitches per game, so we’re talking about 10 entire games’ worth of pitches. Ten games! That is a huge number, and these teams still have 64 games left to go. Read the rest of this entry »

Matt Strahm making the All-Star team as a setup man with no saves is a bit of an anomaly. Especially because he didn’t take the Aaron Crow route — his team had its proverbial bases covered.

The Phillies are no. 1 in baseball in pitcher WAR. They’re no. 1 by a huge margin in starter WAR, and no. 2 (a tenth of a win behind a team that has both Emmanuel Clase and 16% more bullpen innings) in reliever WAR. So it’s no surprise that Philadelphia sent five pitchers to Texas among its NL record-tying eight All-Star representatives.

The fact that Strahm is third in his own bullpen in ERA, behind Jeff Hoffman and Orion Kerkering, is mostly a testament to how good that unit has been overall. Strahm is second among relievers in FIP and tied for third in WAR. It’s not bad for a player who was an afterthought when the Phillies acquired him on the free agent market in December 2022, the same week Trea Turner and Taijuan Walker joined the organization. Read the rest of this entry »