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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.
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.
| Player | Club | Logged games | Average | Balanced line | Hit rate there |
|---|---|---|---|---|---|
| Max Muncy | Dodgers | 153 | 0.5 RBIs | Over 0.5 | 50 of 153 (33%) |
| Alec Burleson | Cardinals | 107 | 0.7 RBIs | Over 0.5 | 46 of 107 (43%) |
| Iván Herrera | Cardinals | 107 | 0.4 RBIs | Over 0.5 | 29 of 107 (27%) |
| Junior Caminero | Rays | 107 | 0.6 RBIs | Over 0.5 | 45 of 107 (42%) |
| Sal Stewart | Reds | 107 | 0.7 RBIs | Over 0.5 | 45 of 107 (42%) |
| Bryce Harper | Phillies | 106 | 0.5 RBIs | Over 0.5 | 38 of 106 (36%) |
| Jackson Merrill | Padres | 106 | 0.6 RBIs | Over 0.5 | 44 of 106 (42%) |
| Miguel Vargas | White Sox | 106 | 0.6 RBIs | Over 0.5 | 33 of 106 (31%) |
| Pete Crow-Armstrong | Cubs | 106 | 0.8 RBIs | Over 0.5 | 46 of 106 (43%) |
| Bryan Reynolds | Pirates | 105 | 0.4 RBIs | Over 0.5 | 29 of 105 (28%) |
| Ezequiel Duran | Rangers | 105 | 0.6 RBIs | Over 0.5 | 39 of 105 (37%) |
| Fernando Tatis Jr. | Padres | 105 | 0.6 RBIs | Over 0.5 | 43 of 105 (41%) |
| Jackson Chourio | Brewers | 105 | 0.6 RBIs | Over 0.5 | 41 of 105 (39%) |
| JJ Bleday | Reds | 105 | 0.3 RBIs | Over 0.5 | 25 of 105 (24%) |
| Jordan Walker | Cardinals | 105 | 0.6 RBIs | Over 0.5 | 36 of 105 (34%) |
| Matt Olson | Braves | 105 | 0.4 RBIs | Over 0.5 | 32 of 105 (30%) |
| Ozzie Albies | Braves | 105 | 0.4 RBIs | Over 0.5 | 29 of 105 (28%) |
| Bryson Stott | Phillies | 104 | 0.4 RBIs | Over 0.5 | 29 of 104 (28%) |
| Corbin Carroll | Diamondbacks | 104 | 0.4 RBIs | Over 0.5 | 28 of 104 (27%) |
| Geraldo Perdomo | Diamondbacks | 104 | 0.3 RBIs | Over 0.5 | 26 of 104 (25%) |
| Henry Bolte | Athletics | 104 | 0.3 RBIs | Over 0.5 | 23 of 104 (22%) |
| Manny Machado | Padres | 104 | 0.6 RBIs | Over 0.5 | 39 of 104 (38%) |
| Michael Busch | Cubs | 104 | 0.5 RBIs | Over 0.5 | 38 of 104 (37%) |
| Pete Alonso | Orioles | 104 | 0.7 RBIs | Over 0.5 | 44 of 104 (42%) |
| Yandy Díaz | Rays | 104 | 0.5 RBIs | Over 0.5 | 36 of 104 (35%) |
| Alex Bregman | Cubs | 103 | 0.7 RBIs | Over 0.5 | 38 of 103 (37%) |
| Bo Bichette | Mets | 103 | 0.5 RBIs | Over 0.5 | 32 of 103 (31%) |
| Brandon Marsh | Phillies | 103 | 0.3 RBIs | Over 0.5 | 27 of 103 (26%) |
| Brooks Lee | Twins | 103 | 0.6 RBIs | Over 0.5 | 34 of 103 (33%) |
| Daylen Lile | Nationals | 103 | 0.6 RBIs | Over 0.5 | 35 of 103 (34%) |
| Ernie Clement | Blue Jays | 103 | 0.3 RBIs | Over 0.5 | 26 of 103 (25%) |
| Gunnar Henderson | Orioles | 103 | 0.3 RBIs | Over 0.5 | 22 of 103 (21%) |
| Isaac Paredes | Astros | 103 | 0.7 RBIs | Over 0.5 | 41 of 103 (40%) |
| Kyle Schwarber | Phillies | 103 | 0.6 RBIs | Over 0.5 | 34 of 103 (33%) |
| Nico Hoerner | Cubs | 103 | 0.4 RBIs | Over 0.5 | 30 of 103 (29%) |
| Tristan Peters | White Sox | 103 | 0.4 RBIs | Over 0.5 | 26 of 103 (25%) |
| A.J. Ewing | Mets | 102 | 0.4 RBIs | Over 0.5 | 22 of 102 (22%) |
| Alec Bohm | Phillies | 102 | 0.6 RBIs | Over 0.5 | 43 of 102 (42%) |
| Ben Rice | Yankees | 102 | 0.6 RBIs | Over 0.5 | 37 of 102 (36%) |
| Caleb Durbin | Red Sox | 102 | 0.5 RBIs | Over 0.5 | 33 of 102 (32%) |
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.
| Player | Club | Home (games) | Away (games) | Gap |
|---|---|---|---|---|
| Aaron Judge | Yankees | 0.3 (6) | 1.1 (8) | 0.8 away |
| Ian Happ | Cubs | 0.1 (48) | 0.8 (53) | 0.7 away |
| Matt Chapman | Giants | 0.4 (17) | 1.1 (17) | 0.7 away |
| Jordan Walker | Cardinals | 0.3 (55) | 0.9 (50) | 0.6 away |
| Tyler Stephenson | Reds | 0.2 (46) | 0.8 (40) | 0.6 away |
| Willy Adames | Giants | 0.2 (35) | 0.8 (36) | 0.6 away |
| Luis Torrens | Mets | 0.2 (30) | 0.8 (30) | 0.6 away |
| Danny Jansen | Rangers | 0.2 (17) | 0.8 (11) | 0.6 away |
| Thomas Saggese | Cardinals | 0.2 (15) | 0.8 (10) | 0.6 away |
| Dustin Harris | Padres | 0.2 (9) | 0.8 (13) | 0.6 away |
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.
| Player | Club | Last 5 | Full log | Difference |
|---|---|---|---|---|
| Esteury Ruiz | Marlins | 0.8 RBIs | 0.1 over 81 | 489% above |
| David Fry | Guardians | 0.8 RBIs | 0.2 over 55 | 389% above |
| Chandler Simpson | Rays | 1.0 RBIs | 0.3 over 99 | 281% above |
| Eli White | Red Sox | 1.2 RBIs | 0.3 over 67 | 265% above |
| Nolan Schanuel | Angels | 1.4 RBIs | 0.4 over 59 | 230% above |
| Pedro Pagés | Cardinals | 0.2 RBIs | 0.1 over 48 | 220% above |
| Petey Halpin | Guardians | 0.6 RBIs | 0.2 over 63 | 215% above |
| Agustín Ramírez | Marlins | 0.8 RBIs | 0.3 over 34 | 202% above |
| Samad Taylor | Padres | 1.2 RBIs | 0.4 over 42 | 196% above |
| Adam Frazier | Angels | 0.6 RBIs | 0.2 over 32 | 174% above |
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.
| Player | Club | Last 5 | Full log | Difference |
|---|---|---|---|---|
| Jordan Walker | Cardinals | 0.0 RBIs | 0.6 over 105 | 100% below |
| Bryan Reynolds | Pirates | 0.0 RBIs | 0.4 over 105 | 100% below |
| JJ Bleday | Reds | 0.0 RBIs | 0.3 over 105 | 100% below |
| Yandy Díaz | Rays | 0.0 RBIs | 0.5 over 104 | 100% below |
| Geraldo Perdomo | Diamondbacks | 0.0 RBIs | 0.3 over 104 | 100% below |
| Kyle Schwarber | Phillies | 0.0 RBIs | 0.6 over 103 | 100% below |
| Brandon Marsh | Phillies | 0.0 RBIs | 0.3 over 103 | 100% below |
| Tristan Peters | White Sox | 0.0 RBIs | 0.4 over 103 | 100% below |
| Caleb Durbin | Red Sox | 0.0 RBIs | 0.5 over 102 | 100% below |
| Cole Young | Mariners | 0.0 RBIs | 0.4 over 102 | 100% below |
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.
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.
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.
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.