
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.
| 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 |
|---|---|---|---|---|
94 | 68 | .580 | ||
88 | 74 | .543 | 6.0 | |
80 | 82 | .494 | 14.0 | |
77 | 85 | .475 | 17.0 | |
74 | 88 | .457 | 20.0 | |
| NL Central | W | L | PCT | GB |
103 | 59 | .636 | ||
89 | 73 | .549 | 14.0 | |
82 | 80 | .506 | 21.0 | |
77 | 85 | .475 | 26.0 | |
75 | 87 | .463 | 28.0 | |
| NL West | W | L | PCT | GB |
100 | 62 | .617 | ||
91 | 71 | .562 | 9.0 | |
86 | 76 | .531 | 14.0 | |
65 | 97 | .401 | 35.0 | |
58 | 104 | .358 | 42.0 |
| AL East | W | L | PCT | GB |
|---|---|---|---|---|
98 | 64 | .605 | ||
93 | 68 | .578 | 4.5 | |
87 | 75 | .537 | 11.0 | |
79 | 82 | .491 | 18.5 | |
79 | 83 | .488 | 19.0 | |
| AL Central | W | L | PCT | GB |
85 | 77 | .525 | ||
84 | 78 | .519 | 1.0 | |
77 | 85 | .475 | 8.0 | |
76 | 86 | .469 | 9.0 | |
69 | 93 | .426 | 16.0 | |
| AL West | W | L | PCT | GB |
81 | 81 | .500 | ||
80 | 82 | .494 | 1.0 | |
76 | 86 | .469 | 5.0 | |
64 | 98 | .395 | 17.0 | |
62 | 100 | .383 | 19.0 |