Will a Player Hit .400 This Season?

The 2020 season, assuming it happens and is completed, is sure to have some quirky statistics that will be tough to wrap our heads around. The home run leader might not even get to 20 dingers this year. A three-win season might lead all of baseball. And while batting average has fallen out of favor as the be-all, end-all of a hitter’s talent at the plate because walks matter and getting a double is better than getting a single, hits are an undoubtedly good pursuit for batters. As such, the aura of batting average still maintains some glow when contemplating the history of baseball. The pursuit of a .400 batting average in a shortened season due to a pandemic will not and should not be viewed with the same historical significance as Ted Williams’ run in 1941, or even George Brett’s 1980 campaign or Tony Gwynn’s strike-shortened 1994 season, but it would make this season a little more fun.

Ty Cobb, George Sisler, and Rogers Hornsby all put up batting averages above .400 nearly 100 years ago, while Ted Williams was the last player to hit that mark nearly 80 years ago. The list of players who have even hit .375 since then is a short one: Stan Musial’s .376 (1948), Williams’ .388 (1957), Rod Carew’s .388 (1977), George Brett’s .390 (1980), Tony Gwynn’s .394 (1994), and Larry Walker’s .379 (1999). The last player to hit above .350 was Josh Hamilton, who hit .359 in 2010. History has shown that if a very high batting average is your goal, the odds are very much stacked against you in a full season. Shrink the season down to just 60 games, though, and we might get a fighting chance.

For recent examples of players who has gotten close, Eno Sarris pointed to Cody Bellinger, who hit over .400 for quite a while to start last season. Jayson Stark mentioned José Altuve’s 60-game run at .388 back in 2017, and this C. Jackson Cowart piece put together a list of 60-game leaders going back to 2002, with Chipper Jones’ .409 in 2008 the best of all the starts. But what about this season? To keep things as simple as possible, I looked at the projections in our Depth Charts and considered every player projected to receive at least 150 plate appearances. I looked at their projected batting average and current talent level, and ran them through a binomial distribution. To provide some context, here are the top 20 players as well as their chances of hitting .400 if given 540 at-bats in a season.

Odds of Hitting .400 in a Full Season
Name Projected AVG Probability of .400 (162) Odds (1 in:)
Luis Arraez .311 0.000007443 134359
Christian Yelich .303 0.000001052 950777
Jose Altuve .301 0.000000626 1596448
Howie Kendrick .299 0.000000369 2712592
Nolan Arenado .297 0.000000214 4664672
J.D. Martinez .297 0.000000214 4664672
Mike Trout .296 0.000000163 6144816
Freddie Freeman .296 0.000000163 6144816
Rafael Devers .296 0.000000163 6144816
Charlie Blackmon .296 0.000000163 6144816
Alex Verdugo .296 0.000000163 6144816
Ketel Marte .295 0.000000123 8119312
Juan Soto .294 0.000000093 10761145
Daniel Murphy .292 0.000000052 19078906
Jeff McNeil .291 0.000000039 25522544
Michael Brantley .291 0.000000039 25522544
Ozzie Albies .290 0.000000029 34249244
Xander Bogaerts .290 0.000000029 34249244
Cody Bellinger .290 0.000000029 34249244
Vladimir Guerrero Jr. .290 0.000000029 34249244

Those odds are not very good. Even assuming the odds of getting a hit in 31% of at-bats (as with Luis Arraez above) only results in a 1-in-134,000 chance of hitting .400 over an entire season. The odds of seeing a perfect game in any particular game are eight times more greater than a talented player hitting .400. That’s part of the reason it doesn’t happen over the course of a normal season. But what happens in a 60-game slate? Here’s the same list above except with just 200 at-bats.

Odds of Hitting .400 in a 60-Game Season
Name Projected AVG Probability of .400 (60) Odds (1 in:)
Luis Arraez .311 0.47% 211
Christian Yelich .303 0.22% 452
Jose Altuve .301 0.18% 552
Howie Kendrick .299 0.15% 677
Nolan Arenado .297 0.12% 835
J.D. Martinez .297 0.12% 835
Mike Trout .296 0.11% 928
Freddie Freeman .296 0.11% 928
Rafael Devers .296 0.11% 928
Charlie Blackmon .296 0.11% 928
Alex Verdugo .296 0.11% 928
Ketel Marte .295 0.10% 1033
Juan Soto .294 0.09% 1151
Daniel Murphy .292 0.07% 1435
Jeff McNeil .291 0.06% 1605
Michael Brantley .291 0.06% 1605
Ozzie Albies .290 0.06% 1796
Xander Bogaerts .290 0.06% 1796
Cody Bellinger .290 0.06% 1796
Vladimir Guerrero Jr. .290 0.06% 1796

Those odds are much better. If you take those 20 hitters, the odds of one of them hitting .400 this year is around 1-in-50, and if we use all hitters, we end up with around a 3% chance that somebody hits .400 in 2020. That’s a really good chance. I’ll also point out that in 61 Double-A games in 2018, Vladimir Guerrero Jr. hit .402, with his average on the season across three levels ending up at .382. While the cumulative probability of some player hitting .400 is 3.1% using a binomial distribution, the odds are actually higher than that, as pointed out by Dan Szymborksi here:

Projections are in part an estimate of a player’s true talent. After Arraez above, the next 19 players are within 13 points of each other in terms of batting average. It’s a tightly bunched group, but we can use reliability tests to show why those players are not actually as tightly grouped as we might think; those single estimates are more accurately a range of estimates.

Because we are talking about hitting .400, let’s start there. If we observed a player hitting .400 over 540 at-bats in a season, we could rightly estimate their true talent as somewhere between .302 and .350, with some volatility and randomness pushing their batting average up to .400 during that time. We might then say we would estimate their talent level/projection at .326 (averaging .302 and .350), but we are really just estimating based on a large range. If we do the same exercise above over only with 200 at-bats, we could fairly estimate the player’s true talent as somewhere between .266 and .332, with an average right at .299, which is where we see Howie Kendrick above.

In a normal year, a player would need a very high talent level to even think a .400 season was possible. In the last 40 years, Wade Boggs, Ichiro Suzuki, Todd Helton, Albert Pujols, Tony Gwynn, Mike Piazza, Vladimir Guerrero, and Joe Mauer were the types of players who might have had a shot at .400. Over just 200 plate appearances, though, we open the possibilities to a whole other tier of hitter. The possibility may still be unlikely, but it is certainly more realistic.

As Dan noted in the next tweet in his thread, the chances of hitting .400 go up considerably if you move up a player’s talent level, but don’t fall that much if you drop the level down due to the already slim chance. For example, if you took the top 20 hitters and moved half of them up by 15 points and half of them down by 15 points and repeated the binomial distribution, the odds of a .400 season go to about 1-in-14 even though the total averages remain the same. If we think of the projections more like a spread than a spot-on determination, we can better simulate the odds of a .400 season for the league, even if we aren’t going to get too much closer on an individual basis.

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Doing thousands of simulations of a 60-game season or having Dan run ZiPS probabilities for .400 hitters might make for a more exacting approach, but simply taking the top 100 hitters and randomly spreading out the projections 20 points or less in either direction gives a 5.3% chance of seeing a hitter put together a .400 season. One out of 18 might not seem outrageously high, but it’s definitely better than we’ve ever seen and could provide an added bit of intrigue to the summer.





Craig Edwards can be found on twitter @craigjedwards.

45 Comments
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sadtromboneMember since 2020
6 years ago

Aside from Dan’s caveat (where we would expect someone totally unexpected to hit a hot streak, upping the chance considerably) I do wonder about the choice of a binomial distribution here. It seems like you would want to predict the variance over a 60-game stretch compared to a full season. I don’t see how dichotomizing outcomes here makes sense since it is a continuous measure we’re predicting.

Morris GreenbergMember since 2020
6 years ago
Reply to  sadtrombone

The variance of a binomial also changes with sample size since it is n*p*(1-p). I am assuming the variance you are referring to is the within-player variance on hits in a 60-game stretch vs. 162. Since hits are a binary variable and we would know the number of trials (i.e., at bats), that is the motivation for the choice in distribution. We are modelling a set of trials here.

However, if you wanted to weigh the probability of some points more or less based on preconceived beliefs about the variance, you could put a prior on the binomial distribution. The conjugate prior for the binomial is the continuous beta distribution which is defined by 2 shape parameters, so that may be what you are looking for here.

sadtromboneMember since 2020
6 years ago

I am clearly confused about the methodology here. Is he running a trials for each PA for each player and reporting the percentage of times the player winds up above .400? That wasn’t what I thought he was doing, but that would be one way to do it.

Morris GreenbergMember since 2020
6 years ago
Reply to  sadtrombone

The binomial is the multiple trial generalization of a Bernoulli. Think about 1 at-bat: a player either gets a hit or he doesn’t. This can be modeled by a Bernoulli random variable, and the only parameter associated with a Bernoulli distribution is p, the probability of success (or in this case, the probability of a hit, which is one in the same as batting average if we are limiting trials to hits and outs).

Now, consider 200 at-bats. We want to see the portion of the time a player gets at least 80 hits given his true talent level. The binomial distribution does exactly this. Think about it like you have an unfair coin where heads occurs 30% of the time and tails 70%, and flip it 200 times. You want to see the probability of 80 or more heads, just like we want the probability of getting 80 or more hits for a .300 BA player. I got it to be 0.163%, I used R to find it quickly, just type: 1-pbinom(0.4*200-1, 200, 0.3)

Jon L.Member since 2016
6 years ago

I’ve been having this same thought about the short season, although my money is definitely on the leaders surpassing 20 homers and 3 WAR…

My big takeaway from this was, when did Luis Arraez, with his 366 ML PAs, 45 / 60 hit tool, and .103 spring batting average, become the best hitter in the majors?

D-WizMember since 2019
6 years ago
Reply to  Jon L.

Well not the best hitter, but one of the best hitters-for-average… Last year!

AnonMember since 2025
6 years ago
Reply to  Jon L.

BAseball Savant is also not sold – Arraez’s xBA last year was .290

Joe WilkeyMember since 2025
6 years ago
Reply to  Jon L.

Arraez makes A TON of contact (SwStr% last year of 2.8%, hasn’t been above 7% in the last 5 seasons) and has average sprint speed. Plus, he hits fewer fly balls than average, generally hits the ball a little harder than average, hits to the opposite field, all things that generally result in bumps to your batting average, but not necessarily your production.

Captain MoonlightMember since 2020
6 years ago

The downside would be dreading the article in 2045 where 30 baseball insiders lament that the dude was so locked in he would have done it in a full season.

slingerMember since 2016
6 years ago

I’m wondering about the old question – will it be the hitters or the pitchers who have an advantage at the outset? Maybe neither …

Jason BMember since 2017
6 years ago
Reply to  slinger

Sounds like talking to an economist – “This group should have an advantage, but then again this one might, but perhaps neither…”

StockMember since 2024
6 years ago

A .400 hitter this year would come with a huge asterisk. I think the ownership that values history would not want this to happen. They changed the ball last year to create more HR. I can see them changing the ball again this year.

Anon21Member since 2018
6 years ago
Reply to  Stock

I don’t think anyone would confuse rate stat accomplishments this year with any other year. This whole season is going to be considered a one-off exception to MLB statistics and accomplishments. (At least, we have it’s one-off, and that 2021 is not similarly affected.)

Lanidrac
6 years ago
Reply to  Anon21

For the most part, yes, but I can’t see MLB completely dismissing it if someone actually sets a new record in an official rate statistic this season.

Cave Dameron
6 years ago

No.

Fredchuckdave
6 years ago

400 seems like a good way to get an MVP if nothing else, will just be an historical footnote otherwise.

SenorGato
6 years ago

Yes, Kris Bryant

AnonMember since 2025
6 years ago

It has to be somebody in Colorado, right? Their team BABIP has been top 6 every year since 2012 with most years 1st or 2nd,. including a team .332 BABIP in 2017. The problem is that a number of their hitters are of the high-K variety (Dahl, Story, McMahon, Hampson, Hilliard) and those guys aren’t hitting .400. So that kind of leaves Arenado, Blackmon and Murphy.

Looking at Statcast, Arenado has thumped his xBA by 29 points over the Statcast era and Blackmon by 21 points. Murphy has only played the 1 season in Coors but he beat his xBA by 29 points last year.

Arenado has never really shown a high BA tendency but you kind of have to wonder why not. He hits plenty of line drives, isn’t an extreme FB guy, isn’t a dead pull hitter and hits the ball plenty hard. His IFFB% is a bit high but not extreme. However, he’s not fast and he’s RH (note that every .375 hitter you listed bats from the left side).

Blackmon hits plenty of LD and hits more GB than FB with reasonable IFFB rates. I went and tried to see if I could find a 60 game stretch where he was close to .400 but didn’t really find any (he’s been remarkably consistent – gets to around .280-.300 by the end of April and stays close to that the rest of the year). You can find some 60 game stretches in the .340-.350 area but not better than that. IN 2014 he was at .380 after 30 games but fell off badly the next 30 games.

Murphy is 35 now so probably a bad bet just based on that. I went and looked at his 2016 when he hit .341 and he got off to a fast start that year – .400 thru 37 games, still .394 thru 52 games and ended up .374 thru his 1st 60 games. Maybe he can rediscover that mojo and combine it with high altitude and hit .400

bluerum29
6 years ago

And even if they did, would it matter with this strange exhibition season?

mookie28Member since 2016
6 years ago
Reply to  bluerum29

No. Anyone downvoting you is being silly. I love baseball, I love stats, I kill an hour a day on Sporcle playing baseball trivia. I am the perfect target audience for anything baseball related — and .400 in a 60 game season is meaningless.

nickolai
6 years ago

Looking forward to the 10 Bold Predictions series for the coming mini-season!

acemanMember since 2019
6 years ago

I’ve seen batting order projections and a lot have Arraez hitting 8th,I don’t see any of those other names on the list hitting 8th ,he should have less ABs than all of them which should help but he’s slow so not many INF hits

jdtTX
6 years ago

So if Mike Trout decides this is the year he wants to hit .400…

HughesMember since 2016
6 years ago
Reply to  jdtTX

Unfortunately it looks like we need to preface that with If Mike Trout decides to play baseball and…

Joe WilkeyMember since 2025
6 years ago

So I took a look at this from a more global standpoint. I broke last season into “two month” increments (before May 31, June-July, after August 1). I only used players who met the “qualified” requirements, to keep the population similar to what the upcoming season will look like. It actually works pretty well in terms of games played and PA. I found the mean and standard deviation for each of the three sets, used the cumulative distribution to find the odds of one player exceeding .400 from the set, and used a binomial distribution with the number of players in each set to figure out the likelihood of at least one player exceeding .400. Interestingly enough, the numbers aren’t all that different.

Time Period: Mean/StDev/% chance of one player hitting .400
March/April/May 2019: .265/.033/0.3%
June/July 2019: .273/.033/1.1%
August/September/October 2019: .273/.039/5.5% (almost exactly 1/18)

I would probably put the likelihood somewhere between the last two, since early in the season offense is usually suppressed due to the weather, but the September callups can screw with the numbers later in the year.

ChiSoxfan2
6 years ago

With every game being more important in a 60 game season, isn’t it also plausible to think that starting pitchers will be on shorter leashes, meaning relievers will come in sooner. Which will typically result in tougher matchups for hitters. I might be completely off base on this claim. It will be interesting to see what the highest BA will be this year.

Lanidrac
6 years ago
Reply to  ChiSoxfan2

That’s a good point. Managers also won’t have to worry much about their best relievers getting overworked in such a short season.

Jason BMember since 2017
6 years ago
Reply to  Lanidrac

“Wait….what?”

–Dusty Baker

Justin KaiserMember since 2020
6 years ago

I feel like Trout has a good shot, just in terms of a small sample size miracle opportunity. With how often he walks, in a 200 at bat season he would only really put somewhere between 140-160 balls in play. Assuming he’s about a .290 true talent hitter, that’s only 17-ish more hits over the course of the season to hit .400.

I know you could apply this to any high-walk hitter, but none of them really have the consistent BA track record that Trout has (except Harper that one time).

Hey, now that I think of it, Harper might be a decent bet as well.

AnonMember since 2025
6 years ago
Reply to  Justin Kaiser

Trout has no shot because he strikes out too much (around 20%) and he’s right-handed. Look at it a couple ways:
– Since WWII the highest BA by a RH hitter is Nomar’s .372 in 2000
– The highest BA since WWII by someone who struck out 20+% is ManRam in (coincidentally) 2000 when he hit .351 while striking out 22% of the time, but to do that he had to post one of the very few .400+ BABIP seasons.
– Nobody since WWII has hit .360 while striking out 15% of the time (2010 Josh Hamilton comes closest at .359 while striking out 16.6% of the time)
– the highest non-pre-humidor-Coors BA by someone who struck out more than 9% of the time is 1994 Jeff Bagwell who hit .368 with a 13.6% K rate (1999 Larry Walker and 1993 Andres Galarraga hit higher than that while striking out over 9% of the time)

Just simple math assuming 200 PA:
– Projections are around a 20% BB rate, that’s 40 PA
– Projections are 20-21K%. Let’s go with 20% to make it simple, that’s another 40 PA
– Projections are from 6.5% to 6.9% HR/PA which is 13 to 14 HR. HR are by definition, of course, hits. I’ll use 14.

So that leaves 106 PA where Trout doesn’t K, BB or hit a HR. IN order to hit .400 we can solve it as an algebraic formula

BA = H / AB = Non-HR + 14 HR / 160
SInce we are looking for a .400 season, it is:
.400 = Non-HR + 14 / 160

Solve all that and Trout would need 50 hits in his 106 balls in play, or a .471 BABIP.

Now, that number goes down a small amount when you add in HBP (where Trout has been between 1 and 2% the last few years) and SF (around 0.67% or so) but is also offset by his reached on error (which comes pretty close to offsetting his SF). SO maybe he only has to run a .450-460 BABIP. That’s. . . .tough. It’s hard to run a BABIP that high even in a SSS 200 PA.

No, I think if anyone is going to do it , it’s a quality LH hitter who doesn’t strike out much and runs into a 60 game stretch where they pare the K to the bare minimum and also hit the absolute crap out of the ball in a favorable ballpark.

Lanidrac
6 years ago
Reply to  Anon

Being right-handed isn’t that much of a disadvantage. After all, the modern (since the foul strike rule was added in 1902-03) record holder for single season batting average is right-handed Rogers Hornsby.

AnonMember since 2025
6 years ago
Reply to  Lanidrac

Just simple observation would tell you it is. Since 1941, 25 of the top 30 seasons for BA are LH or switch hitters. The exceptions are 2000 Nomar, 1993 Galarraga, 1994 Bagwell, 1970 Rico Carty and 2007 Magglio Ordonez.

Lanidrac
6 years ago
Reply to  Anon

You should look at league leaders since 1903, not a cherry-picked constant benchmark.

97 out of 234 (41%) of the batting title winners have hit right-handed (not counting switch-hitters).

On top of that, 7 out of the 14 players with 4+ batting titles batted right-handed.

bohknowsbmore
6 years ago
Reply to  Lanidrac

But you have to consider that righties outnumber lefties so the odds of an individual righty doing it are quite low.

Captain Tenneal
6 years ago
Reply to  Lanidrac

Why would the years 1903-1940 provide any extra information about who we expect to hit for a high average today?

And we’re not interested in a simple batting title winner, we’re interested in the guys who hit for the absolute highest average. Those guys happen to be overwhelmingly left handed for the last 75 years.

AnonMember since 2025
6 years ago
Reply to  Anon

Decided to expand the calc to include HBP, SF and ROE. So, over 200 PA Trout would have:
40 K
40 BB
14 HR
2 ROE
2 SF
5 HBP
0 SH (he has none in his career, can’t imagine he’s going to start now)

( I used his career numbers for ROE since there are no direct projections for that and I’m not going to spend the time to reverse engineer the projected BA)

That leaves him with 153 AB once you back out the BB, SF and HBP so to hit .400 he would need 62 hits (actually 61.2 but you can’t get a partial hit) less the 14 HR meaning he would need 48 hits in the other 97 PA that don’t end as detailed above. That means he would need a .494 BABIP to hit .400.

No, the only way to do it is to limit the Ks. If you could keep all the numbers above the same but cut Ks to 10 (a 5% K rate), then you drop the BABIP required down to .378 which is doable. Of course that means you’d need a guy who walked 20% of the time and struck out only 5% of the time. Turn some of the walks into balls in play and now the BABIP required starts going back up again.

bubbamoo
6 years ago

I doubt that it happens in this modern game, but if it does, my money is on jeff mcneil.

CubbieBlue66
6 years ago

I just wanted to point out that Derrek Lee was as high as .395 after 71 games in 2005. His first 60 games had him a bit lower, but he was really starting to vibe at that point.

Adam C
6 years ago
Reply to  CubbieBlue66

In 2008 Chipper Jones was hitting .400 through 66 games.

carterMember since 2020
6 years ago

The Franimal gonna hit 25 home runs, play average defense and hit 320 on way to his first (and only) MVP which sports writers will write about for years.

Adam C
6 years ago

Todd Helton’s name was mentioned in the article. Not many people know that in 2000 Helton was hitting .400 through 518 plate appearances. As far as I can tell Helton is the only player since 1941 to qualify for the batting title still hitting .400.

ninerbugMember since 2018
6 years ago

@kestdaddy Keston Hiura is the next. 400 hitter. Do the numbers support it?

Spahn_and_Sain
6 years ago
Reply to  ninerbug

His 34% K rate has got to come down, but I don’t think it’ll be down enough this year to get close (see the comments above about Trout’s 20% virtually disqualifying him).
Having said that, I sure wouldn’t mind watching him and Yelich go head to head for the batting title.

Bryson Brown
6 years ago

Additionally consider how many at bats a hitter will need this year to qualify for the batting title – less than 60 games worth of at bats

thebearproofsuit
6 years ago

All I wanna know is if Khris Davis can hit .247 and put things back right with the world.