How MLB RBIs actually behave

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Across 418 MLB players with at least 10 logged games in RBIs, this page measures 20031 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 418 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. 418 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.

20,031 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 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 418 measured; the figures above this table are over all 418.

MLB RBIs: measured field
Player	Club	Logged games	Average	Balanced line	Hit rate there
Max Muncy	Dodgers	103	0.5 RBIs	Over 0.5	32 of 103 (31%)
Junior Caminero	Rays	80	0.6 RBIs	Over 0.5	34 of 80 (43%)
Jackson Chourio	Brewers	77	0.6 RBIs	Over 0.5	32 of 77 (42%)
Yandy Díaz	Rays	76	0.5 RBIs	Over 0.5	24 of 76 (32%)
Chandler Simpson	Rays	74	0.4 RBIs	Over 0.5	23 of 74 (31%)
Jonathan Aranda	Rays	74	0.4 RBIs	Over 0.5	22 of 74 (30%)
Jo Adell	Guardians	73	0.7 RBIs	Over 0.5	26 of 73 (36%)
Matt Olson	Braves	73	0.5 RBIs	Over 0.5	26 of 73 (36%)
Munetaka Murakami	White Sox	73	0.5 RBIs	Over 0.5	26 of 73 (36%)
Ozzie Albies	Braves	73	0.4 RBIs	Over 0.5	19 of 73 (26%)
Steven Kwan	Guardians	73	0.2 RBIs	Over 0.5	15 of 73 (21%)
Brice Turang	Brewers	72	0.6 RBIs	Over 0.5	26 of 72 (36%)
Drake Baldwin	Braves	72	0.4 RBIs	Over 0.5	24 of 72 (33%)
Michael Harris II	Braves	72	0.5 RBIs	Over 0.5	23 of 72 (32%)
Garrett Mitchell	Brewers	71	0.4 RBIs	Over 0.5	16 of 71 (23%)
Miguel Vargas	White Sox	71	0.5 RBIs	Over 0.5	23 of 71 (32%)
Sam Antonacci	White Sox	71	0.3 RBIs	Over 0.5	17 of 71 (24%)
Tristan Peters	White Sox	71	0.3 RBIs	Over 0.5	14 of 71 (20%)
Austin Riley	Braves	70	0.5 RBIs	Over 0.5	22 of 70 (31%)
Brayan Rocchio	Guardians	70	0.4 RBIs	Over 0.5	21 of 70 (30%)
Jackson Merrill	Padres	70	0.7 RBIs	Over 0.5	32 of 70 (46%)
Kyle Tucker	Dodgers	70	0.4 RBIs	Over 0.5	16 of 70 (23%)
Manny Machado	Padres	70	0.6 RBIs	Over 0.5	25 of 70 (36%)
Mookie Betts	Dodgers	70	0.5 RBIs	Over 0.5	20 of 70 (29%)
Travis Bazzana	Guardians	70	0.4 RBIs	Over 0.5	20 of 70 (29%)
William Contreras	Brewers	70	0.7 RBIs	Over 0.5	30 of 70 (43%)
Braden Montgomery	White Sox	69	0.3 RBIs	Over 0.5	19 of 69 (28%)
Fernando Tatis Jr.	Padres	69	0.7 RBIs	Over 0.5	33 of 69 (48%)
Jake Bauers	Brewers	69	0.5 RBIs	Over 0.5	20 of 69 (29%)
Liam Hicks	Rays	69	0.5 RBIs	Over 0.5	19 of 69 (28%)
Teoscar Hernández	Dodgers	69	0.4 RBIs	Over 0.5	21 of 69 (30%)
Tommy Edman	Dodgers	69	0.4 RBIs	Over 0.5	20 of 69 (29%)
Colson Montgomery	White Sox	68	0.5 RBIs	Over 0.5	21 of 68 (31%)
Jake Cronenworth	Padres	68	0.5 RBIs	Over 0.5	23 of 68 (34%)
Mauricio Dubón	Braves	68	0.3 RBIs	Over 0.5	17 of 68 (25%)
Ty France	Padres	68	0.6 RBIs	Over 0.5	23 of 68 (34%)
Ben Rice	Yankees	67	0.6 RBIs	Over 0.5	23 of 67 (34%)
Bryce Harper	Phillies	67	0.5 RBIs	Over 0.5	23 of 67 (34%)
Chase Meidroth	White Sox	67	0.5 RBIs	Over 0.5	20 of 67 (30%)
Christian Yelich	Brewers	67	0.5 RBIs	Over 0.5	22 of 67 (33%)

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
Player	Club	Home (games)	Away (games)	Gap
Danny Jansen	Rangers	0.1 (16)	1.2 (10)	1.1 away
Kyle Manzardo	Guardians	0.3 (10)	1.2 (5)	0.9 away
Luis Torrens	Mets	0.3 (15)	1.1 (17)	0.8 away
Lucas Spence	Astros	0.2 (10)	1.0 (10)	0.8 away
Starling Marte	Royals	0.8 (5)	0.1 (10)	0.7 at home
Christopher Morel	Mets	0.1 (9)	0.8 (5)	0.7 away
Daylen Lile	Nationals	1.0 (30)	0.3 (34)	0.7 at home
Shea Langeliers	Athletics	0.9 (10)	0.2 (9)	0.7 at home
Eugenio Suárez	Reds	0.3 (25)	0.9 (32)	0.6 away
Ian Happ	Cubs	0.1 (33)	0.7 (32)	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
Player	Club	Last 5	Full log	Difference
Davis Schneider	Blue Jays	0.8 RBIs	0.2 over 20	300% above
Eli White	Red Sox	1.2 RBIs	0.3 over 40	243% above
José Tena	Nationals	0.4 RBIs	0.1 over 42	236% above
Ben Rice	Yankees	1.8 RBIs	0.6 over 67	217% above
Geraldo Perdomo	Diamondbacks	1.2 RBIs	0.4 over 64	207% above
Luke Keaschall	Twins	1.2 RBIs	0.4 over 60	200% above
Gavin Sheets	Padres	0.8 RBIs	0.3 over 37	196% above
Nolan Schanuel	Angels	1.4 RBIs	0.5 over 29	190% above
David Hamilton	Brewers	0.8 RBIs	0.3 over 56	164% above
Jose Altuve	Astros	1.0 RBIs	0.4 over 62	158% 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
Player	Club	Full log	Difference
Jonathan Aranda	Rays	0.4 over 74	100% below
Jo Adell	Guardians	0.7 over 73	100% below
Steven Kwan	Guardians	0.2 over 73	100% below
Mookie Betts	Dodgers	0.5 over 70	100% below
Kyle Tucker	Dodgers	0.4 over 70	100% below
Austin Riley	Braves	0.5 over 70	100% below
Jackson Merrill	Padres	0.7 over 70	100% below
Jake Bauers	Brewers	0.5 over 69	100% below
Tommy Edman	Dodgers	0.4 over 69	100% below
Pete Crow-Armstrong	Cubs	0.8 over 67	100% 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 and grades are Parlay Builder’s own calculations.