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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HR
22
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75
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AVG
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W
12
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185
deGrom
ERA
1.73
Eovaldi
Team Rankings
HR
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1,344
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Rangers
Athletics
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BAL
MLB 2025 Batting Leaders
MLB 2025 Pitching Leaders
MLB Fantasy 2025
MLB 2025 Betting
MLB 2025 Standings
| NL East | W | L | PCT | GB |
|---|---|---|---|---|
 Phillies - y | 96 | 66 | .593 | |
83 | 79 | .512 | 13.0 | |
79 | 83 | .488 | 17.0 | |
76 | 86 | .469 | 20.0 | |
66 | 96 | .407 | 30.0 | |
| NL Central | W | L | PCT | GB |
 Brewers - y | 97 | 65 | .599 | |
 Cubs - w | 92 | 70 | .568 | 5.0 |
 Reds - w | 83 | 79 | .512 | 14.0 |
78 | 84 | .481 | 19.0 | |
71 | 91 | .438 | 26.0 | |
| NL West | W | L | PCT | GB |
 Dodgers - y | 93 | 69 | .574 | |
 Padres - w | 90 | 72 | .556 | 3.0 |
81 | 81 | .500 | 12.0 | |
80 | 82 | .494 | 13.0 | |
43 | 119 | .265 | 50.0 |
Mets
Marlins
Braves
Nationals
Cardinals
Pirates
Giants
Diamondbacks
Rockies| AL East | W | L | PCT | GB |
|---|---|---|---|---|
 Blue Jays - y | 94 | 68 | .580 | |
 Yankees - w | 94 | 68 | .580 | |
 Red Sox - w | 89 | 73 | .549 | 5.0 |
77 | 85 | .475 | 17.0 | |
75 | 87 | .463 | 19.0 | |
| AL Central | W | L | PCT | GB |
 Guardians - y | 88 | 74 | .543 | |
 Tigers - w | 87 | 75 | .537 | 1.0 |
82 | 80 | .506 | 6.0 | |
70 | 92 | .432 | 18.0 | |
60 | 102 | .370 | 28.0 | |
| AL West | W | L | PCT | GB |
 Mariners - y | 90 | 72 | .556 | |
87 | 75 | .537 | 3.0 | |
81 | 81 | .500 | 9.0 | |
76 | 86 | .469 | 14.0 | |
72 | 90 | .444 | 18.0 |
Rays
Royals
Twins
White Sox
