50 players are tied for the highest OPS in a month, with an OPS of 5.000. The first three are Travis Jankowski in March 2024, Sean Bouchard in October 2023 and Austin Slater in October 2021.
Interpreted as:
best ops by a player in a month in the year2026| NAME | OPS | MONTH | G | AB | R | H | 2B | 3B | HR | RBI | BB | HBP | SO | SB | CS | PA | TB | XBH | SH | SF | IBB | GIDP | AVG | OBP | SLG | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 |  | T. Jankowski | 5.000 | March 2024 | 2 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 1 | 0 | 0 | 0 | 0 | 1.000 | 1.000 | 4.000 |
| 2 | | S. Bouchard | 5.000 | October 2023 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 1 | 0 | 0 | 0 | 0 | 1.000 | 1.000 | 4.000 |
| 3 | | A. Slater | 5.000 | October 2021 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 1 | 0 | 0 | 0 | 0 | 1.000 | 1.000 | 4.000 |
| 4 | | D. Jansen | 5.000 | August 2021 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 2 | 4 | 1 | 0 | 0 | 0 | 0 | 1.000 | 1.000 | 4.000 |
| 5 | | D. Camarena | 5.000 | July 2021 | 3 | 1 | 1 | 1 | 0 | 0 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 1 | 0 | 0 | 0 | 0 | 1.000 | 1.000 | 4.000 |
| 6 | | D. Smith | 5.000 | September 2019 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 1 | 0 | 0 | 0 | 0 | 1.000 | 1.000 | 4.000 |
| 7 | | A. Wilkerson | 5.000 | April 2019 | 3 | 1 | 1 | 1 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 1 | 0 | 0 | 0 | 0 | 1.000 | 1.000 | 4.000 |
| 8 | | C. Culberson | 5.000 | March 2019 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 1 | 0 | 0 | 0 | 0 | 1.000 | 1.000 | 4.000 |
| 9 | | B. Woodruff | 5.000 | July 2018 | 3 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 1 | 0 | 0 | 0 | 0 | 1.000 | 1.000 | 4.000 |
| 10 | | A. Garcia | 5.000 | October 2017 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 1 | 0 | 0 | 0 | 0 | 1.000 | 1.000 | 4.000 |
| 11 | | C. Gimenez | 5.000 | October 2017 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 1 | 0 | 0 | 0 | 0 | 1.000 | 1.000 | 4.000 |
| 12 |  | E. Hosmer | 5.000 | October 2017 | 1 | 1 | 2 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 2 | 4 | 1 | 0 | 0 | 0 | 0 | 1.000 | 1.000 | 4.000 |
| 13 | | M. Montero | 5.000 | October 2016 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 1 | 0 | 0 | 0 | 0 | 1.000 | 1.000 | 4.000 |
| 14 | | D. Ruf | 5.000 | October 2016 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 1 | 0 | 0 | 0 | 0 | 1.000 | 1.000 | 4.000 |
| 15 | | M. Holliday | 5.000 | September 2016 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 1 | 0 | 0 | 0 | 0 | 1.000 | 1.000 | 4.000 |
| 16 | | M. Lorenzen | 5.000 | August 2016 | 10 | 1 | 1 | 1 | 0 | 0 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 1 | 0 | 0 | 0 | 0 | 1.000 | 1.000 | 4.000 |
| 17 | | C. Heisey | 5.000 | October 2015 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 1 | 0 | 0 | 0 | 0 | 1.000 | 1.000 | 4.000 |
| 18 | | D. Uggla | 5.000 | October 2015 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 4 | 1 | 0 | 0 | 0 | 0 | 1.000 | 1.000 | 4.000 |
| 19 | | R. Vogelsong | 5.000 | September 2015 | 2 | 1 | 1 | 1 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 1 | 0 | 0 | 0 | 0 | 1.000 | 1.000 | 4.000 |
| 20 | | A. Duvall | 5.000 | August 2015 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 1 | 0 | 0 | 0 | 0 | 1.000 | 1.000 | 4.000 |
| 21 | | J. Sands | 5.000 | May 2015 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 2 | 1 | 0 | 0 | 0 | 0 | 2 | 4 | 1 | 0 | 0 | 0 | 0 | 1.000 | 1.000 | 4.000 |
| 22 | | A. Marte | 5.000 | July 2014 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 1 | 0 | 0 | 0 | 0 | 1.000 | 1.000 | 4.000 |
| 23 | | E. Kratz | 5.000 | March 2014 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 1 | 0 | 0 | 0 | 0 | 1.000 | 1.000 | 4.000 |
| 24 | | S. Smith | 5.000 | March 2014 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 1 | 0 | 0 | 0 | 0 | 1.000 | 1.000 | 4.000 |
| 25 | | A. Castellanos | 5.000 | October 2012 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 1 | 0 | 0 | 0 | 0 | 1.000 | 1.000 | 4.000 |
StatMuse has game-level data for OPS going back to the 1908 season.
Some of the information used here was obtained free of charge from Retrosheet.
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| NL East | W | L | PCT | GB |
|---|---|---|---|---|
79 | 55 | .590 | ||
74 | 60 | .552 | 5.0 | |
68 | 66 | .507 | 11.0 | |
63 | 73 | .463 | 17.0 | |
60 | 74 | .448 | 19.0 | |
| NL Central | W | L | PCT | GB |
83 | 51 | .619 | ||
76 | 58 | .567 | 7.0 | |
67 | 68 | .496 | 16.5 | |
65 | 70 | .481 | 18.5 | |
63 | 71 | .470 | 20.0 | |
| NL West | W | L | PCT | GB |
80 | 54 | .597 | ||
72 | 62 | .537 | 8.0 | |
71 | 64 | .526 | 9.5 | |
55 | 79 | .410 | 25.0 | |
52 | 82 | .388 | 28.0 |
Braves
Phillies
Marlins
Nationals
Mets
Cubs
Cardinals
Pirates
Reds
Dodgers
Padres
Diamondbacks
Giants
Rockies| AL East | W | L | PCT | GB |
|---|---|---|---|---|
79 | 54 | .594 | ||
75 | 58 | .564 | 4.0 | |
73 | 60 | .549 | 6.0 | |
65 | 69 | .485 | 14.5 | |
65 | 70 | .481 | 15.0 | |
| AL Central | W | L | PCT | GB |
70 | 63 | .526 | ||
68 | 66 | .507 | 2.5 | |
64 | 70 | .478 | 6.5 | |
62 | 71 | .466 | 8.0 | |
60 | 75 | .444 | 11.0 | |
| AL West | W | L | PCT | GB |
67 | 67 | .500 | ||
66 | 68 | .493 | 1.0 | |
64 | 70 | .478 | 3.0 | |
53 | 81 | .396 | 14.0 | |
52 | 82 | .388 | 15.0 |
Rays
Yankees
Red Sox
Orioles
Blue Jays
White Sox
Guardians
Twins
Tigers
Royals