50 players are tied for the best 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.
| 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 |
|---|---|---|---|---|
45 | 23 | .662 | ||
37 | 31 | .544 | 8.0 | |
35 | 34 | .507 | 10.5 | |
34 | 35 | .493 | 11.5 | |
30 | 38 | .441 | 15.0 | |
| NL Central | W | L | PCT | GB |
41 | 25 | .621 | ||
37 | 29 | .561 | 4.0 | |
35 | 34 | .507 | 7.5 | |
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| NL West | W | L | PCT | GB |
44 | 25 | .638 | ||
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34 | 34 | .500 | 9.5 | |
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Phillies
Nationals
Marlins
Mets
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Pirates
Cubs
Reds
Dodgers
Padres
Diamondbacks
Giants
Rockies| AL East | W | L | PCT | GB |
|---|---|---|---|---|
40 | 25 | .615 | ||
41 | 26 | .612 | ||
33 | 36 | .478 | 9.0 | |
33 | 37 | .471 | 9.5 | |
27 | 39 | .409 | 13.5 | |
| AL Central | W | L | PCT | GB |
36 | 31 | .537 | ||
37 | 33 | .529 | 0.5 | |
31 | 39 | .443 | 6.5 | |
29 | 40 | .420 | 8.0 | |
28 | 41 | .406 | 9.0 | |
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36 | 34 | .514 | ||
34 | 34 | .500 | 1.0 | |
33 | 35 | .485 | 2.0 | |
31 | 39 | .443 | 5.0 | |
27 | 42 | .391 | 8.5 |
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