Return of The Mighty Giancarlo Stanton

David Dermer-Imagn Images

Beneath this cynical, empirically motivated exterior, I’m actually a big softie. As such, I love it when an old guy turns back the clock and rediscovers the magic one last time. Almost a decade ago, Giancarlo Stanton was the proto-Aaron Judge: A player who was bigger and stronger than any outfielder we’d ever seen, and capable of hitting the ball much harder than anyone else in the league.

Stanton came of age just as Statcast made exit velocity public knowledge, though his 2017 season — the peak of his stardom — was impressive enough by the metrics Henry Chadwick scrawled on a cave wall 15,000 years ago. Those numbers: 59 home runs, 123 runs scored, 132 RBI, a .631 slugging percentage. Small wonder Stanton was named the MVP of the National League that year. Read the rest of this entry »


2024 World Series Preview: This is What You Came For

Jayne Kamin-Oncea-Imagn Images

Rihanna said it best. Or maybe it was Russell Crowe. This is the main event. The top seed in the American League meets the top seed in the National League. The presumptive AL MVP is leading his team against the presumptive NL winner. Those guys, coincidentally, are the two biggest free agents in history – Shohei Ohtani broke the bank this past offseason, only a year after Aaron Judge signed a historic deal of his own. Juan Soto might eclipse them both this winter. And while those three are the biggest stars in the game right now, they have three previous MVP winners – Mookie Betts, Freddie Freeman, and Giancarlo Stanton – as sidekicks. Oh yeah, and the two highest-paid pitchers in history are the aces of their respective teams. Heck, I’ve allowed this paragraph to run to a ridiculous length, and I’m only now mentioning 2024 Home Run Derby winner Teoscar Hernández.

By any objective measure, this World Series matchup is absolutely loaded with star power. But the current players are only half the story. This is the 12th Yankees-Dodgers matchup in World Series history – the Dodgers have played in 22 of these things, and they’ve faced one team more than half the time. This isn’t quite Doris Kearns Goodwin’s Fall Classic anymore, where the two preeminent teams are a subway ride apart, but the next best thing is a rivalry between the two biggest cities in the country.

Want an example of how good the players in this series are? Here are the top five hitters in baseball by wRC+ this year:

Top Hitters, 2024
Player PA AVG OBP SLG wRC+
Aaron Judge 704 .322 .458 .701 218
Shohei Ohtani 731 .310 .390 .646 181
Juan Soto 713 .288 .419 .569 180
Yordan Alvarez 635 .308 .392 .567 168
Bobby Witt Jr. 709 .332 .389 .588 168

Jay Jaffe dove into how rare it is to see the best player in each league in the World Series – turns out, it’s quite rare! Fifty-homer sluggers have also never faced each other in the Series before now, and that leaves out the fact that Ohtani stole 50 bags too. Soto is an absurdly over-qualified second banana. Betts isn’t on this list, and he was in the MVP running before missing time with injury. The star power on display is simply staggering, as Davy Andrews noted Wednesday. Read the rest of this entry »


Contract Crowdsourcing 2024-25: Ballot 2 of 10

Reggie Hildred-USA TODAY Sports

Free agency begins five days after the end of the World Series. As in other recent seasons, FanGraphs is once again facilitating a contract crowdsourcing project, with the idea being to harness the wisdom of the crowd to better understand and project the 2024-25 free agent market.

In recent years, we’ve added a few features to these ballots based on reader feedback. You now have the option to indicate that a player will only receive a minor league contract, or won’t receive one at all. If there is a player option, team option, or opt out in a player’s contract, you’ll be able to indicate whether you think he will remain with his current team or become a free agent. Numbers are prorated to full season where noted. The projected WAR figures are from the first cut of the 2025 Steamer600 projections.

Below are ballots for 11 of this year’s free agents — in this case, a group of starting pitchers.


Contract Crowdsourcing 2024-25: Ballot 1 of 10

David Dermer-Imagn Images

Free agency begins five days after the end of the World Series. As in other recent seasons, FanGraphs is once again facilitating a contract crowdsourcing project, with the idea being to harness the wisdom of the crowd to better understand and project the 2024-25 free agent market.

In recent years, we’ve added a few features to these ballots based on reader feedback. You now have the option to indicate that a player will only receive a minor league contract, or won’t receive one at all. If there is a player option, team option, or opt out in a player’s contract, you’ll be able to indicate whether you think he will remain with his current team or become a free agent. Numbers are prorated to full season where noted. The projected WAR figures are from the first cut of the 2025 Steamer600 projections.

Below are ballots for 10 of this year’s free agents — in this case, a group of position players, including the winter’s top free agent.


Rays Prospect Tre’ Morgan Talks Hitting

SCOTT CLAUSE/USA TODAY Network

Tre’ Morgan is one of the most promising prospects in the Tampa Bay Rays organization. Drafted 88th overall last year out of LSU, the 22-year-old left-handed-hitting first baseman slashed .324/.408/.483 with 10 home runs and a 158 wRC+ in 437 plate appearances between three levels this season. Moreover, he’s only upped his profile by continuing to rake in the Arizona Fall League. As our lead prospect analyst Eric Longenhagen wrote on Tuesday, Morgan “is making a case to be elevated into the back of this offseason’s Top 100 list.”

Morgan — a New Orleans native with a well-deserved reputation for being both personable and thoughtful about his craft — talked hitting prior to taking the field for the AFL’s Mesa Solar Sox earlier this month.

———

David Laurila: Who are you as a hitter? In other words, how would you describe your style and approach?

Tre’ Morgan: “As a a hitter, I’m definitely contact over power. Swinging and missing is something that just shouldn’t happen too often. That’s how I was taught to hit, by my dad really. If I run into one, it sometimes goes pretty far, but I kind of stick to gap-to-gap, trying to play with the barrel.”

Laurila: What is your father’s background?

Morgan: “He played football, mostly — he played college football and had a couple of tryouts for the NFL — but he taught me everything I know about baseball. He said that he was better than me [at baseball] when I was growing up.”

Laurila: You said that the ball sometimes goes far when you run into one. What have you had in terms of exit velocities and distances? Read the rest of this entry »


Aaron Judge Is the Greatest Dodger-Killer of All Time

Kirby Lee-USA TODAY Sports

Let me be very clear: This doesn’t matter. What I’m about to show you is small sample size theater. It’s not statistically significant. It has no bearing on what’s actually going to happen in the World Series. We are here for a fun fact rather than a learning opportunity. Are we all in agreement? Okay, then let me show you something wild. Here are Aaron Judge’s career numbers against the Los Angeles Dodgers.

These Are Some Humongous Numbers, My Friends
PA HR AVG OBP SLG OPS wOBA wRC+
41 8 .389 .463 1.111 1.575 .621 312

So, uh, yeah. A .389 batting average is good. A slugging percentage in the thousands is good. A wRC+ over 300 is also good. Just in case you were wondering how good those numbers are, here’s a table that shows the best career numbers against the Dodgers, minimum 40 plate appearances, courtesy of our splits leaderboard. Read the rest of this entry »


How I Voted for the Fielding Bible Awards: Outfielders, Pitchers, Multi-Positional, Defensive Player of the Year

Jay Biggerstaff and Rafael Suanes-Imagn Images

Yesterday, I published the first half of my votes for this year’s Fielding Bible awards, which have now been released. This morning, I’m going to cover my ballots for the three outfield positions, pitchers, multi-positional defenders, and defensive player of the year. If you’re curious about the methodology I used, you can read all about it in yesterday’s article, but here’s a bite-sized refresher:

I used a weighted blend of DRS, FRV, DRP, and UZR (the four flagship public defensive metrics), with the weights based on how well each metric did at each position when it comes to reliability and consistency. I used different weightings based on recent effectiveness at a few position groupings: first base, non-first-base infield, catcher, and outfield. That gave me an initial rough order. From there, I used my own expertise, both in terms of deeper statistical dives on individual players and the copious amounts of baseball I watched this year, to assemble my final rankings. I deferred to advanced metrics when the gaps were huge – Patrick Bailey is the best defensive catcher by a mile, for example – but for close calls, I leaned heavily on my own judgment.

That’s the broad strokes of how I built a method for analysis, which is hopefully at least somewhat interesting. More interesting than that? The actual players who played the defense and got the awards. So let’s get right to my last six ballots. The award winners are noted with an asterisk after their name in the balloting section

Left Field
1. Colton Cowser
2. Riley Greene*
3. Lourdes Gurriel Jr.
4. Steven Kwan
5. Jackson Chourio
6. Alex Verdugo
7. Wyatt Langford
8. Ian Happ
9. Brandon Marsh
10. Taylor Ward

I thought that Cowser and Greene were the two easy choices for this award. They both played elite defense, with every metric above average and a few elite markers. (Greene was the best left fielder by DRS, Cowser by FRV.) They both exemplify what I’m looking for in a left fielder – namely, someone good enough that their team keeps playing them in center. In fact, if either were much better defensively, they might not qualify for this award; you have to play the plurality of your innings at a position to qualify, and they both played hundreds of innings in center.
Read the rest of this entry »


Job Posting: Chicago White Sox – Player Development Affiliate Intern

Player Development Affiliate Intern

Locations: Charlotte, NC – Birmingham, AL – Winston-Salem, NC – Kannapolis, NC – Glendale, AZ

Summary:
The Chicago White Sox are seeking multiple seasonal Player Development Affiliate Interns. This entry level opportunity will provide individuals with a wide range of experiences across professional baseball. These positions will report to the Minor League Video Coordinator, while supporting Minor League coaching staffs at affiliate locations throughout the season. There will also be opportunities to work on various baseball operations projects depending on skillset. 

Program Details:

  • The internship is an hourly, non-exempt position. Housing or a housing stipend will be provided.
  • The position will take place at one of our 5 affiliate locations: Charlotte (AAA), Birmingham (AA), Winston-Salem (A+), Kannapolis (A), or Glendale (RK).
  • All positions will start during Minor League Spring Training and end upon the conclusion of the Minor League season with the potential of extending into Instructional League.
  • Candidates must be fully available for the duration of the internship (March 1 – September 30).
  • Hours for this position may vary week to week; candidates must be available and prepared to work irregular hours, including nights, weekends and holidays.

Essential Duties & Responsibilities:

  • Directly support players and coaching staff with all day-to-day video and information needs
  • Film and chart each game and any early work requests
  • Compile advanced scouting reports to be utilized prior to each series
  • Manage the setup, operation and data management of all baseball technology
  • Travel with the team on all road trips
  • Aid in the execution of players development plans
  • Complete independent projects as assigned by scouting/analytics/player development/front office staffs

Qualifications:

  • Strong communication, organization skills, and eagerness to learn
  • Strong knowledge pertaining to information technology including proficiency with all Microsoft Office software
  • Knowledge of baseball technologies such as Hawkeye, Motion Capture, TrackMan, Edgertronic Cameras, Rapsodo, Blast Motion, etc. is strongly encouraged
  • Must have a valid driver’s license and ability to lift and carry up to 50 lbs.
  • Ability to work evenings, weekends, and holidays

Additional Skills:

  • Prior coaching/playing experience
  • Advanced understanding of hitting/pitching biomechanics
  • Ability to speak conversational Spanish a plus
  • Video editing skills
  • Prior baseball/performance related research. Use of SQL/R/Python languages.

To Apply:

  • Please email PDJobs@chisox.com with the subject line “PD Affiliate Intern” and include your resume, a PDF of the application questions below and two references. 

Application Questions – answer 5 of the 10 that best showcase your overall skillset (limit 250 words per question): 

  1. What is your favorite defensive metric to use when evaluating a position player and why?
  2. How would an automated strike zone at the MLB level affect how catchers are valued?
  3. Identify one player the White Sox should look to acquire via trade or free agency this offseason. What would it take to acquire this player? Why do you recommend the White Sox target this player?
  4. In a hypothetical situation you are the Amateur Scouting Director of an MLB team. Your team has the first overall pick and the top two players available are a high school position player and a college pitcher. Both players project to have the same career WAR and neither has any known injury history. Assume both will sign for slot value. Which would you select and why? What other factors would you consider in making the selection?
  5. Who is one prospect outside MLB.com’s Top 100 that you believe is underrated? Provide a brief scouting report.
  6. Willy Adames and Luis Severino are impending free agents for the upcoming offseason. Project their next contracts (years/dollars) and support your answer.
  7. You’re a pitching coach preparing for a series against a new team. What are some of the key statistics/metrics on the opposing hitters that you would consider in compiling an Advance Scouting Report? Please support your answer.
  8. In terms of analytics and technology, where can MLB organizations look to gain a competitive edge in the coming years?
  9. In recent years, baseball has seen a move from more traditional marker-based motion capture systems (Motion Analysis, Qualisys, Vicon) to marker-less systems such as Hawkeye and KinaTrax. What are some of the pros and cons to each? If you were in charge of putting one motion capture system in a team’s Spring Training facility, which motion capture system (marker-less or marker-based) would you choose and why? 
  10. Using the dataset in the link below, write a function to create the following measures of performance: Contact Rate, Exit Velocity, and OPS.
  11. Dataset: https://www.dropbox.com/scl/fo/rk96asjrnf9r59ie9nf3s/ACHi4oHJh5OKWw9gGtF5nSY?rlkey=r63x6xbr07l9dhjujwi7c2ahv&st=86vgbb3s&dl=0

    • Which player with at least 100 PAs has the highest OPS? Contact%?
    • What percentage of players with at least 100 PAs have an OPS of .800 or greater?
    • What is the correlation between Contact% and OPS for players with at least 100 PAs?

The content in this posting was created and provided solely by the Chicago White Sox.


Does Home Field Advantage Really Evaporate in October?

Kiyoshi Mio-Imagn Images

When it comes to throwing shade in the playoffs in recent years, nothing has caught as much – not even your least favorite broadcaster – than the concept of home field advantage. The reason for the negative feelings isn’t surprising. Other than a possible first-round bye, home field advantage is the main reward for playoff teams that win more regular-season games than other playoff teams.

It’s true that home teams have struggled in recent postseasons, but they actually haven’t been too bad this year. The 19-18 record of home teams isn’t the most scintillating of tallies, but their .513 winning percentage across 37 games is not exactly a stunning departure from the .522 winning percentage for home teams during the 2024 regular season. The most games a team can possibly play in a single postseason is 22, and nine points of winning percentage works out to only 0.2 wins per 22 games.

Postseason Winning Percentage at Home, 1995-2024
Year Wins Losses Winning Percentage
2023 15 26 .366
2010 13 19 .406
1996 14 18 .438
2019 17 20 .459
1998 14 16 .467
2003 18 20 .474
2016 17 18 .486
2012 18 19 .486
1997 17 17 .500
2024 19 18 .514
2001 18 17 .514
2018 17 16 .515
2000 16 15 .516
2015 19 17 .528
2005 16 14 .533
2020 29 24 .547
2002 19 15 .559
2008 18 14 .563
2014 18 14 .563
2006 17 13 .567
2022 23 17 .575
2004 20 14 .588
2011 23 15 .605
2013 23 15 .605
2007 17 11 .607
1995 19 12 .613
2021 24 14 .632
2009 19 11 .633
1999 20 11 .645
2017 27 11 .711

Naturally, the data are noisy given the relatively small number of postseason games, even under the current format, but the recent issues with home field advantage seem to mostly be a 2023 thing, when home teams went 15-26, comfortably their worst year. Smoothing out the data a bit doesn’t really do much, either.

Postseason Winning Percentage at Home, Five-Year Periods, 1995-2024
Five-Year Period Winning Percentage
1995-1999 .532
1996-2000 .513
1997-2001 .528
1998-2002 .540
1999-2003 .538
2000-2004 .529
2001-2005 .532
2002-2006 .542
2003-2007 .550
2004-2008 .571
2005-2009 .580
2006-2010 .553
2007-2011 .563
2008-2012 .538
2009-2013 .549
2010-2014 .537
2011-2015 .558
2012-2016 .534
2013-2017 .581
2014-2018 .563
2015-2019 .542
2016-2020 .546
2017-2021 .573
2018-2022 .547
2019-2023 .517
2020-2024 .526

You can always find an oddity if you shave data paper-thin like prosciutto, but with data as volatile as this, you’ll mostly end up with bleeps and bloops that don’t really mean anything. Like, sure, teams are 29-31 since 1995 at home in Game 7s and Game 5s, but that’s primarily the odd blip of NLDS home teams going 4-12 in their rubber matches.

Returning to 2023 one more time, I went back and looked at the projections, both from ZiPS and regular-season record or Pythagorean record. Using each team’s actual 2023 record, the average home team in the playoffs had a .562 regular-season winning percentage; it was .551 for the road teams. It’s a .564/.553 split using the Pythagorean records. But I still have all the projected matchups and rosters at the start of the playoffs saved, so I re-projected the results of every actual game that was played. ZiPS thought on a game-by-game basis, with home field advantage completely removed from the equation, the road teams were actually slightly stronger, projecting the average home team at .545 and the average road team at .556. Facing off against each other, ZiPS expected home teams to have a .489 record in the 31 actual playoff games, with an 8% chance of going 15-26 or worse.

Looking at the Wild Card era as a whole, home teams have gone .540 over 1,045 playoffs games. In the regular season over the same era, home teams have a .537 winning percentage. In other words, the playoffs just aren’t that different from the regular season. (ZiPS assumes a .535 playoff winning percentage for the home team in a game of exactly equal teams.) So why does it feel so bad? I suspect one reason can be found in the charts above. Home teams had a pretty good run in the mid-2010s, on the heels of the expansion from eight to 10 playoff teams, peaking at a .581 winning percentage from 2013 to 2017. In that context, it conveys the feeling that home field advantage is working as intended, and the five-year runs stayed slightly above the historical trend until the 2023 home field crash.

Since that crash feels especially bad, it’s natural that people search for deeper meaning in data that don’t really have a lot to give. One common cry was blaming the long layoffs from the bye round. This argument doesn’t hold up, as Ben Clemens pointed out last postseason.

It also doesn’t have much to do with modern baseball or modern players, either. Home field advantage has been relatively stable in the regular season throughout baseball history.

Regular Season Winning Percentage by Decade
Decade Winning Percentage
1900s .551
1910s .540
1920s .543
1930s .553
1940s .544
1950s .539
1960s .540
1970s .538
1980s .541
1990s .535
2000s .542
2010s .535
2020s .531

There’s been some long-term decline, but nothing earth-shattering.

The larger problem is simply that fundamentally, home field advantage just isn’t a big deal in baseball. It’s not as big a deal in other sports as some think, but unlike in the other major sports, the difference in baseball between a great team, a good team, a lousy team, and the Chicago White Sox is not that large. Other sports don’t need home field advantage to be as much of a differentiator, especially in the playoffs. A few years back, Michael Lopez, Greg Matthews, and Ben Baumer crunched some numbers and estimated that to match the better-team-advances rate of the NBA playoffs, MLB teams would need to play best-of-75 playoff series. I certainly love me some baseball, but I can’t imagine I’d still watch World Series Game 63 with the same intensity as I do every Fall Classic game now. Besides, the MLBPA wouldn’t be on board, and the calendar would make that a practical impossibility anyway.

Even giving the team with more wins home field advantage in every single game doesn’t drastically weight the dice. Assuming a .535 home winning percentage and evenly matched teams, the home team would require a best-of-13 series to become a 60/40 favorite; to increase its odds to 2-to-1, we’d have to make it a best-of-39 series. Just to experiment, I simulated series with the normal postseason distribution of home field advantage (one extra game) between two teams, the one in which the home team is .020 wins better than its opponent (just over three wins in a season). I then ran the numbers for how often the better team would be expected to win, based on series length.

Playoff Simulation, Better Team’s Series Win Probability
Series Length (Maximum Games) Win Probability
3 54.7%
5 55.1%
7 55.5%
9 55.9%
11 56.3%
13 56.6%
15 57.0%
17 57.3%
19 57.7%
21 58.0%
23 58.3%
25 58.6%
27 58.8%
29 59.1%
31 59.4%
33 59.6%
35 59.9%
37 60.1%
39 60.4%
41 60.6%
43 60.8%
45 61.0%
47 61.3%
49 61.5%
51 61.7%
53 61.9%
55 62.1%
57 62.3%
59 62.5%
61 62.7%
63 62.8%
65 63.0%
67 63.2%
69 63.4%
71 63.6%
73 63.7%
75 63.9%
77 64.1%
79 64.2%
81 64.4%

So what does this all mean? In all likelihood, home field advantage in the playoffs hasn’t changed in any meaningful way. And isn’t really all that big of a deal in the first place. Without altering the very nature of the postseason significantly — aggressive changes such as requiring the lower-seeded team sweep in the Wild Card series to advance — baseball has a very limited ability to reward individual playoff teams based on their regular-season results. Home field advantage isn’t broken; it’s working in the extremely limited way that one should expect. If the Dodgers beat the Yankees in the World Series this year, it probably won’t be because they were rewarded one more possible home game.


In Case You Need a Reason To Watch the World Series

Brad Penner and Wendell Cruz-Imagn Images

You are allowed to be sad. You do not have to be psyched about watching two gigantic legacy franchises smash everything in their paths and then start smashing each other in the Godzilla vs. King Kong World Series. You can be bummed that both of the obvious favorites made the World Series even though you also would have been bummed if some undeserving Wild Card team had sneaked in. Anyone who expects you to be rational in your rooting interests is being completely unreasonable. This a matchup designed specifically for fans of hegemony. You do not have to be good. You are allowed to cheer for Team Asteroid.

That said, there’s still a lot to be excited about in this matchup. The World Series offers itself to your imagination. I doubt that there’s one person reading this who doesn’t enjoy watching Aaron Judge, Shohei Ohtani, Mookie Betts, Juan Soto, or Freddie Freeman play baseball, who doesn’t thrill at the thought of seeing them on the biggest stage the game has to offer. It’s just inconceivable that a baseball fan could be so hopelessly lost.

Judge hit 58 home runs this season. He led baseball with a 218 wRC+. That’s the seventh-best qualified offensive season since 1900. The only players who have topped it: Barry Bonds, Babe Ruth, and Ted Williams. Judge is blasting his way onto Mount Rushmore in front of our eyes. Ohtani’s 181 wRC+ ranked second. While rehabbing from Tommy John surgery, he put up the first 50-50 season in history. When you combine his offense and baserunning, Ohtani was worth 80.7 runs this season, the 35th-highest total ever. Over 11 postseason games, he has a .434 on-base percentage with 10 RBI and 12 runs scored, and somehow his offensive line is worse than it was during the regular season. Soto was right behind Ohtani at 180. In seven big-league seasons, he’s never once been as low as 40% better than average at the plate, and he is still getting better. Read the rest of this entry »