How MLB hits actually behave

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Across 476 MLB players with at least 10 logged games in hits, this page measures 21128 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 476 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 103 logged games. Of the 82 players whose spread can be measured, 0 cluster tightly around their average, 1 vary moderately and 81 swing widely. 474 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 2026-11-15, rebuilt daily from official box scores. Window: 2026-07-18 to 2026-10-28. No prices appear on this page.

21,128 logged player-games from 1,010 unique games. A player-game is one player in one game, so a single game counts once for every player it logged.

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 476 measured; the figures above this table are over all 476.

MLB hits: measured field
PlayerClubLogged gamesAverageBalanced lineHit rate there
Max MuncyDodgers1030.7 hitsOver 0.553 of 103 (51%)
Junior CamineroRays801.0 hitsOver 0.559 of 80 (74%)
Jackson ChourioBrewers771.2 hitsOver 1.522 of 77 (29%)
Yandy DíazRays761.1 hitsOver 1.529 of 76 (38%)
Chandler SimpsonRays741.3 hitsOver 1.533 of 74 (45%)
Jonathan ArandaRays741.0 hitsOver 0.550 of 74 (68%)
Jo AdellGuardians730.8 hitsOver 0.544 of 73 (60%)
Matt OlsonBraves730.8 hitsOver 0.544 of 73 (60%)
Munetaka MurakamiWhite Sox730.7 hitsOver 0.541 of 73 (56%)
Ozzie AlbiesBraves730.7 hitsOver 0.544 of 73 (60%)
Steven KwanGuardians731.3 hitsOver 1.528 of 73 (38%)
Brice TurangBrewers721.0 hitsOver 0.547 of 72 (65%)
Drake BaldwinBraves721.2 hitsOver 1.528 of 72 (39%)
Michael Harris IIBraves721.2 hitsOver 1.524 of 72 (33%)
Garrett MitchellBrewers710.8 hitsOver 0.537 of 71 (52%)
Miguel VargasWhite Sox710.9 hitsOver 0.550 of 71 (70%)
Sam AntonacciWhite Sox710.8 hitsOver 0.540 of 71 (56%)
Tristan PetersWhite Sox710.6 hitsOver 0.533 of 71 (46%)
Austin RileyBraves700.8 hitsOver 0.538 of 70 (54%)
Brayan RocchioGuardians700.7 hitsOver 0.540 of 70 (57%)
Jackson MerrillPadres701.2 hitsOver 1.525 of 70 (36%)
Kyle TuckerDodgers700.8 hitsOver 0.539 of 70 (56%)
Manny MachadoPadres700.9 hitsOver 0.541 of 70 (59%)
Mookie BettsDodgers701.0 hitsOver 0.543 of 70 (61%)
Travis BazzanaGuardians700.8 hitsOver 0.539 of 70 (56%)
William ContrerasBrewers701.1 hitsOver 0.548 of 70 (69%)
Braden MontgomeryWhite Sox690.7 hitsOver 0.537 of 69 (54%)
Fernando Tatis Jr.Padres691.1 hitsOver 0.548 of 69 (70%)
Jake BauersBrewers690.8 hitsOver 0.544 of 69 (64%)
Liam HicksRays690.9 hitsOver 0.538 of 69 (55%)
Teoscar HernándezDodgers691.0 hitsOver 0.546 of 69 (67%)
Tommy EdmanDodgers690.7 hitsOver 0.531 of 69 (45%)
Colson MontgomeryWhite Sox680.6 hitsOver 0.527 of 68 (40%)
Jake CronenworthPadres680.9 hitsOver 0.541 of 68 (60%)
Mauricio DubónBraves681.0 hitsOver 0.546 of 68 (68%)
Ty FrancePadres681.2 hitsOver 1.529 of 68 (43%)
Ben RiceYankees670.9 hitsOver 0.539 of 67 (58%)
Bryce HarperPhillies671.0 hitsOver 0.546 of 67 (69%)
Chase MeidrothWhite Sox671.0 hitsOver 0.543 of 67 (64%)
Christian YelichBrewers670.8 hitsOver 0.543 of 67 (64%)

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
Tyler SoderstromAthletics241.0 hits0.658%
Gabriel MorenoDiamondbacks601.2 hits0.970%
Chandler SimpsonRays741.3 hits0.971%
Dominic CanzoneMariners621.1 hits0.871%
Shea LangeliersAthletics191.1 hits0.872%
Nick GonzalesPirates571.1 hits0.873%
Junior CamineroRays801.0 hits0.774%
Trevor StoryRed Sox251.0 hits0.874%
Javier SanojaMarlins641.1 hits0.874%
Sal StewartReds661.1 hits0.875%

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
Mookie BettsDodgers701.0 hits1.1107%
Pete Crow-ArmstrongCubs671.1 hits1.1104%
Yainer DiazAstros561.0 hits1.1104%
Cole CarriggRockies611.1 hits1.1103%
James McCannDiamondbacks281.0 hits1.1102%
Eduardo ValenciaTigers371.1 hits1.1101%
Alex BregmanCubs621.2 hits1.2100%
Freddie FreemanDodgers661.0 hits1.099%
Henry BolteAthletics641.1 hits1.098%
Cooper PrattBrewers621.0 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
Maikel GarciaRoyals1.5 (8)0.2 (5)1.3 at home
Josue De PaulaDodgers1.2 (6)0.3 (9)0.9 at home
Carlos JorgeReds0.1 (8)0.9 (10)0.8 away
Danny JansenRangers0.4 (16)1.2 (10)0.8 away
Christian Encarnacion-StrandOrioles0.6 (27)1.3 (31)0.7 away
Luis ArraezPhillies1.5 (28)0.8 (31)0.7 at home
Christian FranklinOrioles0.0 (8)0.7 (13)0.7 away
Byron BuxtonTwins0.3 (10)1.0 (8)0.7 away
Jhonny PeredaMariners0.5 (6)1.2 (6)0.7 away
Nick SogardRed Sox1.3 (26)0.7 (30)0.6 at home

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
Davis SchneiderBlue Jays0.4 hits0.1 over 20167% above
TJ FriedlReds0.6 hits0.2 over 31166% above
Eli WhiteRed Sox1.2 hits0.5 over 40129% above
Carlos JorgeReds1.2 hits0.6 over 18116% above
Luis UríasBlue Jays0.8 hits0.4 over 13108% above
Nick LoftinRoyals1.6 hits0.8 over 58102% above
Sung-Mun SongPadres0.4 hits0.2 over 35100% above
Alika WilliamsAthletics1.4 hits0.7 over 5198% above
Jorge PolancoMets0.8 hits0.4 over 1794% above
Carter JensenRoyals1.6 hits0.8 over 5989% 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
Austin RileyBraves0.0 hits0.8 over 70100% below
Ian HappCubs0.0 hits0.7 over 65100% below
Taylor WallsRays0.0 hits0.6 over 61100% below
Mike YastrzemskiBraves0.0 hits0.5 over 60100% below
Jase BowenPadres0.0 hits0.1 over 60100% below
Ildemaro VargasDiamondbacks0.0 hits0.7 over 58100% below
Zach McKinstryTigers0.0 hits0.5 over 57100% below
José CaballeroYankees0.0 hits0.5 over 55100% below
Taylor TrammellAstros0.0 hits0.4 over 55100% below
Ryan ViladeRays0.0 hits0.5 over 50100% 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 and grades are Parlay Builder’s own calculations.