How MLB RBIs actually behave

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Across 490 MLB players with at least 10 logged games in RBIs, this page measures 32225 games in total. The median player in that field averages 0.4 RBIs. The line closest to a coin flip sits at 0.5 for the median of the 490 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. 490 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 RBIs

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 490 measured; the figures above this table are over all 490.

MLB RBIs — measured field
PlayerClubLogged gamesAverageBalanced lineHit rate there
Max MuncyDodgers1530.5 RBIsOver 0.550 of 153 (33%)
Alec BurlesonCardinals1070.7 RBIsOver 0.546 of 107 (43%)
Iván HerreraCardinals1070.4 RBIsOver 0.529 of 107 (27%)
Junior CamineroRays1070.6 RBIsOver 0.545 of 107 (42%)
Sal StewartReds1070.7 RBIsOver 0.545 of 107 (42%)
Bryce HarperPhillies1060.5 RBIsOver 0.538 of 106 (36%)
Jackson MerrillPadres1060.6 RBIsOver 0.544 of 106 (42%)
Miguel VargasWhite Sox1060.6 RBIsOver 0.533 of 106 (31%)
Pete Crow-ArmstrongCubs1060.8 RBIsOver 0.546 of 106 (43%)
Bryan ReynoldsPirates1050.4 RBIsOver 0.529 of 105 (28%)
Ezequiel DuranRangers1050.6 RBIsOver 0.539 of 105 (37%)
Fernando Tatis Jr.Padres1050.6 RBIsOver 0.543 of 105 (41%)
Jackson ChourioBrewers1050.6 RBIsOver 0.541 of 105 (39%)
JJ BledayReds1050.3 RBIsOver 0.525 of 105 (24%)
Jordan WalkerCardinals1050.6 RBIsOver 0.536 of 105 (34%)
Matt OlsonBraves1050.4 RBIsOver 0.532 of 105 (30%)
Ozzie AlbiesBraves1050.4 RBIsOver 0.529 of 105 (28%)
Bryson StottPhillies1040.4 RBIsOver 0.529 of 104 (28%)
Corbin CarrollDiamondbacks1040.4 RBIsOver 0.528 of 104 (27%)
Geraldo PerdomoDiamondbacks1040.3 RBIsOver 0.526 of 104 (25%)
Henry BolteAthletics1040.3 RBIsOver 0.523 of 104 (22%)
Manny MachadoPadres1040.6 RBIsOver 0.539 of 104 (38%)
Michael BuschCubs1040.5 RBIsOver 0.538 of 104 (37%)
Pete AlonsoOrioles1040.7 RBIsOver 0.544 of 104 (42%)
Yandy DíazRays1040.5 RBIsOver 0.536 of 104 (35%)
Alex BregmanCubs1030.7 RBIsOver 0.538 of 103 (37%)
Bo BichetteMets1030.5 RBIsOver 0.532 of 103 (31%)
Brandon MarshPhillies1030.3 RBIsOver 0.527 of 103 (26%)
Brooks LeeTwins1030.6 RBIsOver 0.534 of 103 (33%)
Daylen LileNationals1030.6 RBIsOver 0.535 of 103 (34%)
Ernie ClementBlue Jays1030.3 RBIsOver 0.526 of 103 (25%)
Gunnar HendersonOrioles1030.3 RBIsOver 0.522 of 103 (21%)
Isaac ParedesAstros1030.7 RBIsOver 0.541 of 103 (40%)
Kyle SchwarberPhillies1030.6 RBIsOver 0.534 of 103 (33%)
Nico HoernerCubs1030.4 RBIsOver 0.530 of 103 (29%)
Tristan PetersWhite Sox1030.4 RBIsOver 0.526 of 103 (25%)
A.J. EwingMets1020.4 RBIsOver 0.522 of 102 (22%)
Alec BohmPhillies1020.6 RBIsOver 0.543 of 102 (42%)
Ben RiceYankees1020.6 RBIsOver 0.537 of 102 (36%)
Caleb DurbinRed Sox1020.5 RBIsOver 0.533 of 102 (32%)

The widest home and away gaps in MLB RBIs

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 RBIs — venue gaps
PlayerClubHome (games)Away (games)Gap
Aaron JudgeYankees0.3 (6)1.1 (8)0.8 away
Ian HappCubs0.1 (48)0.8 (53)0.7 away
Matt ChapmanGiants0.4 (17)1.1 (17)0.7 away
Jordan WalkerCardinals0.3 (55)0.9 (50)0.6 away
Tyler StephensonReds0.2 (46)0.8 (40)0.6 away
Willy AdamesGiants0.2 (35)0.8 (36)0.6 away
Luis TorrensMets0.2 (30)0.8 (30)0.6 away
Danny JansenRangers0.2 (17)0.8 (11)0.6 away
Thomas SaggeseCardinals0.2 (15)0.8 (10)0.6 away
Dustin HarrisPadres0.2 (9)0.8 (13)0.6 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
Esteury RuizMarlins0.8 RBIs0.1 over 81489% above
David FryGuardians0.8 RBIs0.2 over 55389% above
Chandler SimpsonRays1.0 RBIs0.3 over 99281% above
Eli WhiteRed Sox1.2 RBIs0.3 over 67265% above
Nolan SchanuelAngels1.4 RBIs0.4 over 59230% above
Pedro PagésCardinals0.2 RBIs0.1 over 48220% above
Petey HalpinGuardians0.6 RBIs0.2 over 63215% above
Agustín RamírezMarlins0.8 RBIs0.3 over 34202% above
Samad TaylorPadres1.2 RBIs0.4 over 42196% above
Adam FrazierAngels0.6 RBIs0.2 over 32174% 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
Jordan WalkerCardinals0.0 RBIs0.6 over 105100% below
Bryan ReynoldsPirates0.0 RBIs0.4 over 105100% below
JJ BledayReds0.0 RBIs0.3 over 105100% below
Yandy DíazRays0.0 RBIs0.5 over 104100% below
Geraldo PerdomoDiamondbacks0.0 RBIs0.3 over 104100% below
Kyle SchwarberPhillies0.0 RBIs0.6 over 103100% below
Brandon MarshPhillies0.0 RBIs0.3 over 103100% below
Tristan PetersWhite Sox0.0 RBIs0.4 over 103100% below
Caleb DurbinRed Sox0.0 RBIs0.5 over 102100% below
Cole YoungMariners0.0 RBIs0.4 over 102100% below

Common questions

Where does the MLB RBIs 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 RBIs 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 RBIs 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 RBIs 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.