
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 |
|---|---|---|---|---|
48 | 30 | .615 | ||
43 | 36 | .544 | 5.5 | |
41 | 39 | .513 | 8.0 | |
41 | 39 | .513 | 8.0 | |
34 | 44 | .436 | 14.0 | |
| NL Central | W | L | PCT | GB |
48 | 29 | .623 | ||
42 | 35 | .545 | 6.0 | |
41 | 37 | .526 | 7.5 | |
39 | 40 | .494 | 10.0 | |
37 | 41 | .474 | 11.5 | |
| NL West | W | L | PCT | GB |
51 | 29 | .638 | ||
41 | 37 | .526 | 9.0 | |
40 | 39 | .506 | 10.5 | |
32 | 46 | .410 | 18.0 | |
31 | 49 | .388 | 20.0 |
| AL East | W | L | PCT | GB |
|---|---|---|---|---|
47 | 31 | .603 | ||
43 | 33 | .566 | 3.0 | |
39 | 40 | .494 | 8.5 | |
38 | 43 | .469 | 10.5 | |
32 | 45 | .416 | 14.5 | |
| AL Central | W | L | PCT | GB |
41 | 37 | .526 | ||
41 | 39 | .513 | 1.0 | |
38 | 43 | .469 | 4.5 | |
34 | 45 | .430 | 7.5 | |
34 | 46 | .425 | 8.0 | |
| AL West | W | L | PCT | GB |
41 | 39 | .513 | ||
38 | 41 | .481 | 2.5 | |
38 | 41 | .481 | 2.5 | |
38 | 43 | .469 | 3.5 | |
33 | 48 | .407 | 8.5 |