How MLB hits actually behave

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Across 535 MLB players with at least 10 logged games in hits, this page measures 33047 games in total. The median player in that field averages 0.7 hits. The line closest to a coin flip sits at 0.5 for the median of the 535 players whose distribution supports one — half the field is more often over it, half more often under. The deepest sample here is Max Muncy, with 153 logged games. Of the 80 players whose spread can be measured, 0 cluster tightly around their average, 2 vary moderately and 78 swing widely. 535 of them have at least three games home and away, so the venue gap below is measured rather than assumed. Every figure is counted from official box scores and describes games already played. It is not a projection, and on its own it says nothing about whether any price on offer is worth taking.

Measured as of 2026-09-20, rebuilt daily from official box scores. Window: 2026-05-23 to 2026-09-20. No prices appear on this page.

Where the coin-flip line sits in MLB hits

Each player's own most balanced threshold — the half-point line he has finished above in closest to half his logged games — measured from his distribution rather than read off a book. Deepest sample first, not best to worst. The 40 deepest samples of 535 measured; the figures above this table are over all 535.

MLB hits — measured field
PlayerClubLogged gamesAverageBalanced lineHit rate there
Max MuncyDodgers1530.7 hitsOver 0.580 of 153 (52%)
Alec BurlesonCardinals1071.0 hitsOver 0.575 of 107 (70%)
Iván HerreraCardinals1070.9 hitsOver 0.560 of 107 (56%)
Junior CamineroRays1071.1 hitsOver 1.531 of 107 (29%)
Sal StewartReds1071.0 hitsOver 0.577 of 107 (72%)
Bryce HarperPhillies1061.0 hitsOver 0.565 of 106 (61%)
Jackson MerrillPadres1061.1 hitsOver 0.567 of 106 (63%)
Miguel VargasWhite Sox1061.0 hitsOver 0.573 of 106 (69%)
Pete Crow-ArmstrongCubs1061.2 hitsOver 1.531 of 106 (29%)
Bryan ReynoldsPirates1051.0 hitsOver 0.575 of 105 (71%)
Ezequiel DuranRangers1050.9 hitsOver 0.563 of 105 (60%)
Fernando Tatis Jr.Padres1051.2 hitsOver 1.535 of 105 (33%)
Jackson ChourioBrewers1051.2 hitsOver 1.530 of 105 (29%)
JJ BledayReds1050.7 hitsOver 0.556 of 105 (53%)
Jordan WalkerCardinals1051.0 hitsOver 0.571 of 105 (68%)
Matt OlsonBraves1050.9 hitsOver 0.568 of 105 (65%)
Ozzie AlbiesBraves1050.8 hitsOver 0.566 of 105 (63%)
Bryson StottPhillies1040.9 hitsOver 0.564 of 104 (62%)
Corbin CarrollDiamondbacks1040.8 hitsOver 0.560 of 104 (58%)
Geraldo PerdomoDiamondbacks1041.0 hitsOver 0.567 of 104 (64%)
Henry BolteAthletics1040.9 hitsOver 0.564 of 104 (62%)
Manny MachadoPadres1040.9 hitsOver 0.560 of 104 (58%)
Michael BuschCubs1040.9 hitsOver 0.569 of 104 (66%)
Pete AlonsoOrioles1041.1 hitsOver 0.572 of 104 (69%)
Yandy DíazRays1041.1 hitsOver 1.538 of 104 (37%)
Alex BregmanCubs1031.0 hitsOver 0.566 of 103 (64%)
Bo BichetteMets1031.1 hitsOver 0.570 of 103 (68%)
Brandon MarshPhillies1030.7 hitsOver 0.553 of 103 (51%)
Brooks LeeTwins1031.0 hitsOver 0.565 of 103 (63%)
Daylen LileNationals1030.9 hitsOver 0.558 of 103 (56%)
Ernie ClementBlue Jays1030.9 hitsOver 0.564 of 103 (62%)
Gunnar HendersonOrioles1030.8 hitsOver 0.559 of 103 (57%)
Isaac ParedesAstros1031.0 hitsOver 0.568 of 103 (66%)
Kyle SchwarberPhillies1030.9 hitsOver 0.560 of 103 (58%)
Nico HoernerCubs1031.0 hitsOver 0.568 of 103 (66%)
Tristan PetersWhite Sox1030.8 hitsOver 0.553 of 103 (51%)
A.J. EwingMets1020.9 hitsOver 0.562 of 102 (61%)
Alec BohmPhillies1021.0 hitsOver 0.566 of 102 (65%)
Ben RiceYankees1021.0 hitsOver 0.562 of 102 (61%)
Caleb DurbinRed Sox1021.0 hitsOver 0.564 of 102 (63%)

The steadiest MLB hits records

Standard deviation in the market’s own units, and the same figure as a share of the player’s average so it means the same thing in points as in passing yards. A narrow spread means the average is close to what a typical game actually looked like; it says nothing about what the next one will look like.

The steadiest MLB hits records
PlayerClubLogged gamesAverageStandard deviationSpread as % of average
Trevor StoryRed Sox191.3 hits0.757%
Joshua Kuroda-GrauerAthletics161.6 hits0.960%
Gabriel MorenoDiamondbacks961.2 hits0.871%
Ronny SimonPirates151.0 hits0.773%
Ceddanne RafaelaRed Sox881.2 hits0.973%
Josh JungRangers531.1 hits0.977%
Brett BatemanBlue Jays371.3 hits1.077%
Jake McCarthyRockies1001.2 hits1.078%
Sal StewartReds1071.0 hits0.878%
Vinnie PasquantinoRoyals591.0 hits0.878%

The widest MLB hits swings

The other end of the same measurement. A wide spread means the average describes the middle of a broad range rather than a typical night, which is worth knowing before reading anything into that average.

The widest MLB hits swings
PlayerClubLogged gamesAverageStandard deviationSpread as % of average
Juan BritoReds131.0 hits1.2118%
Mookie BettsDodgers1001.1 hits1.1104%
Blaze AlexanderOrioles511.1 hits1.1100%
Oneil CruzPirates441.1 hits1.199%
Jung Hoo LeeGiants951.1 hits1.099%
James McCannDiamondbacks261.1 hits1.199%
Luis García Jr.Yankees961.1 hits1.098%
Jackson MerrillPadres1061.1 hits1.197%
Jac CaglianoneRoyals921.1 hits1.197%
Alex BregmanCubs1031.0 hits1.097%

The widest home and away gaps in MLB hits

Both averages are over the games actually played at each venue, and the game count for each is in the cell beside it. A gap measured over a handful of games either way is one you cannot distinguish from noise — this table prints the denominators so you can tell which is which. Three games a side is the floor for appearing here at all.

MLB hits — venue gaps
PlayerClubHome (games)Away (games)Gap
Santiago EspinalDodgers0.0 (4)1.0 (7)1.0 away
Yohandy MoralesNationals1.4 (5)0.4 (7)1.0 at home
Blake DunnReds0.7 (15)1.6 (12)0.9 away
Adolis GarcíaPhillies0.9 (8)0.1 (9)0.8 at home
Tsung-Che ChengRed Sox0.4 (9)1.2 (5)0.8 away
Blaze JordanCardinals0.4 (29)1.1 (29)0.7 away
Nick MadrigalRays1.1 (10)0.4 (9)0.7 at home
Eliezer AlfonzoDodgers0.1 (8)0.8 (5)0.7 away
Michael StefanicAthletics0.1 (7)0.8 (5)0.7 away
Christian Encarnacion-StrandOrioles0.5 (23)1.2 (30)0.7 away

Ahead of their own baseline over the last five

Last five logged games against the full log, reported only where the gap is more than a tenth of the player’s own average. It is a description of five games that have been played and it is not a forecast of the sixth.

Ahead of their own baseline over the last five
PlayerClubLast 5Full logDifference
Walker JenkinsTwins1.6 hits0.6 over 20167% above
Eli WhiteRed Sox1.2 hits0.5 over 67144% above
Agustín RamírezMarlins1.4 hits0.6 over 34116% above
Kyle TuckerDodgers1.6 hits0.8 over 98104% above
Hao-Yu LeeTigers1.6 hits0.8 over 84104% above
TJ FriedlReds0.6 hits0.3 over 50100% above
Garrett StubbsPhillies0.4 hits0.2 over 25100% above
Buddy KennedyGiants0.4 hits0.2 over 25100% above
Brett HarrisGiants0.8 hits0.4 over 10100% above
Mookie BettsDodgers2.0 hits1.1 over 10089% above

Behind their own baseline over the last five

The same comparison in the other direction, and the same caveat: five games is five games, and a run below a baseline is as often noise as it is a change.

Behind their own baseline over the last five
PlayerClubLast 5Full logDifference
Yandy DíazRays0.0 hits1.1 over 104100% below
Ernie ClementBlue Jays0.0 hits0.9 over 103100% below
Tristan PetersWhite Sox0.0 hits0.8 over 103100% below
Cam SmithAstros0.0 hits0.7 over 100100% below
Zach McKinstryTigers0.0 hits0.6 over 94100% below
Taylor WardMariners0.0 hits0.7 over 90100% below
Evan CarterRangers0.0 hits0.5 over 86100% below
J.T. RealmutoPhillies0.0 hits0.7 over 85100% below
Lars NootbaarDiamondbacks0.0 hits0.7 over 85100% below
Lane ThomasBraves0.0 hits0.7 over 79100% below

Common questions

Where does the MLB hits coin-flip line sit?

At the half-point threshold each player has finished above in about half their logged games. It is measured per player from their own distribution rather than read off a sportsbook, which is why it is on this page at all: a posted line moves through the day and this page is rebuilt once, so a number taken from a book would be wrong by morning.

Is this a ranking of the best MLB hits props?

No. Nothing here is ordered by how good a bet it is, and no price is quoted anywhere on the page. The tables are ordered by sample depth, by spread and by the size of a measured gap, because those are the things a game log can actually establish.

How many games are behind each hits figure?

The count is printed beside every one of them. A player only appears once they have ten or more logged games in the market, and games they did not play are absent rather than counted as zero, so an average describes games they were actually in.

Does a hits trend on this page predict the next game?

No. A trend here is a comparison between a player’s last five logged games and their full log, and it is reported only when the gap is large enough to be worth naming. It is a description of what has happened, and history is not a forecast.

What these tables are measuring, explained: how to read a hit rate and what its denominator hides, what an over/under line is and what it is not.

MLB player props and live odds

Odds and lines come from licensed data feeds and refresh on a schedule; hit rates, edges and grades are Parlay Builder’s own calculations.