| #Team | ERA | OBP | OPS | SO |
|---|---|---|---|---|
1
MIL
|
3.33 | .293 | .648 | 896 |
2
NYY
|
3.40 | .297 | .662 | 801 |
3
LAD
|
3.48 | .289 | .647 | 827 |
4
SEA
|
3.54 | .296 | .667 | 802 |
5
ATL
|
3.61 | .305 | .680 | 771 |
| #Team | W/L | $ | HM $ | AW $ |
|---|---|---|---|---|
1
WAS
|
48-46 | 1183 | -837 | 2020 |
2
CHW
|
47-44 | 1010 | 1389 | -379 |
|
3
MIL
|
58-34 | 990 | 268 | 722 |
4
TB
|
54-36 | 921 | 1315 | -394 |
5
STL
|
48-43 | 795 | -49 | 844 |
| #Player | AVG |
|---|---|
| 1 Otto Lopez | .345 |
| 2 Yandy Diaz | .327 |
| 3 Luis Arraez | .324 |
| 4 Nick Gonzales | .311 |
| 5 Yordan Alvarez | .310 |
| #Player | HR |
|---|---|
| 1 Kyle Schwarber | 32 |
| 2 Yordan Alvarez | 29 |
| 3 Hunter Goodman | 27 |
| 4 Ben Rice | 26 |
| 5 Junior Caminero | 26 |
| #Player | RBI |
|---|---|
| 1 Jordan Walker | 70 |
| 2 Luis Garcia Jr. | 68 |
| 3 CJ Abrams | 67 |
| 4 Yordan Alvarez | 67 |
| 5 Alec Burleson | 66 |
| #Player | R |
|---|---|
| 1 James Wood | 85 |
| 2 Bryan Reynolds | 64 |
| 3 Zach Neto | 64 |
| 4 Brice Turang | 63 |
| 5 Matt Olson | 62 |
| #Name | Team | W/L | $ |
|---|---|---|---|
| 1 Foster Griffin | WAS | 15-4 | 1251 |
| 2 Tomoyuki Sugano | COL | 10-6 | 951 |
| 3 Brandon Young | BAL | 11-3 | 877 |
| 4 Joey Cantillo | CLE | 13-6 | 784 |
| 5 Davis Martin | CHW | 12-6 | 742 |
| #Name | Team | O/U | % |
|---|---|---|---|
| 1 Braxton Ashcraft | PIT | 15-3 | 83.3 |
| 2 Jeffrey Springs | ATH | 13-5 | 72.2 |
| 3 Mitch Keller | PIT | 13-5 | 72.2 |
| 4 Sandy Alcantara | MIA | 13-6 | 68.4 |
| 5 Joey Cantillo | CLE | 13-6 | 68.4 |
| #Player | Wins |
|---|---|
| 1 Chase Burns | 11 |
| 2 Jacob Misiorowski | 10 |
| 3 Sandy Alcantara | 10 |
| 4 Andre Pallante | 10 |
| 5 Cristopher Sanchez | 10 |
| #Player | ERA |
|---|---|
| 1 Jacob Misiorowski | 1.62 |
| 2 Cam Schlittler | 2.01 |
| 3 Eduardo Rodriguez | 2.25 |
| 4 Chris Sale | 2.27 |
| 5 Yoshinobu Yamamoto | 2.49 |
| #Player | SV |
|---|---|
| 1 Cade Smith | 26 |
| 2 Bryan Baker | 25 |
| 3 Mason Miller | 23 |
| 4 Riley O'Brien | 22 |
| 5 Jhoan Duran | 22 |
| #Player | SO |
|---|---|
| 1 Jacob Misiorowski | 167 |
| 2 Dylan Cease | 148 |
| 3 Cristopher Sanchez | 137 |
| 4 Cam Schlittler | 131 |
| 5 Jesus Luzardo | 125 |
| #Name | W/L | % | $ |
|---|---|---|---|
| 1 Chris Guccione | 16-3 | 84.2 | 1137 |
| 2 Carlos Torres | 13-4 | 76.5 | 662 |
| 3 Nestor Ceja | 13-5 | 72.2 | 659 |
| 4 Lance Barksdale | 13-5 | 72.2 | 596 |
| 5 Edwin Moscoso | 13-5 | 72.2 | 551 |
| #Name | O/U | % | AVG |
|---|---|---|---|
| 1 Alfonso Marquez | 13-3 | 81.2 | 11.4 |
| 2 Dan Iassogna | 13-5 | 72.2 | 11.9 |
| 3 Nate Tomlinson | 13-5 | 72.2 | 10.0 |
| 4 Vic Carapazza | 13-7 | 65.0 | 9.7 |
| 5 Erich Bacchus | 12-3 | 80.0 | 10.6 |
| #Team | ERA | OBP | OPS | SO |
|---|---|---|---|---|
|
1
NYY
|
3.40 | .297 | .662 | 801 |
|
2
SEA
|
3.54 | .296 | .667 | 802 |
3
DET
|
3.69 | .304 | .690 | 756 |
4
BOS
|
3.70 | .306 | .687 | 768 |
|
5
TB
|
3.72 | .292 | .686 | 731 |
| #Team | W/L | $ | HM $ | AW $ |
|---|---|---|---|---|
|
1
CHW
|
47-44 | 1010 | 1389 | -379 |
|
2
TB
|
54-36 | 921 | 1315 | -394 |
3
MIN
|
46-47 | 198 | 19 | 179 |
4
CLE
|
47-46 | 128 | -213 | 341 |
5
HOU
|
46-49 | -152 | -250 | 98 |
| #Player | AVG |
|---|---|
| 1 Yandy Diaz | .327 |
| 2 Yordan Alvarez | .310 |
| 3 Ernie Clement | .297 |
| 4 Josh Jung | .297 |
| 5 Sam Antonacci | .293 |
| #Player | HR |
|---|---|
| 1 Yordan Alvarez | 29 |
| 2 Ben Rice | 26 |
| 3 Junior Caminero | 26 |
| 4 Byron Buxton | 25 |
| 5 Colson Montgomery | 23 |
| #Player | RBI |
|---|---|
| 1 Yordan Alvarez | 67 |
| 2 Nick Kurtz | 66 |
| 3 Pete Alonso | 62 |
| 4 Jonathan Aranda | 61 |
| 5 Willson Contreras | 61 |
| #Player | R |
|---|---|
| 1 Zach Neto | 64 |
| 2 Yordan Alvarez | 62 |
| 3 Miguel Vargas | 61 |
| 4 Nick Kurtz | 61 |
| 5 Ben Rice | 60 |
| #Name | Team | W/L | $ |
|---|---|---|---|
| 1 Brandon Young | BAL | 11-3 | 877 |
| 2 Joey Cantillo | CLE | 13-6 | 784 |
| 3 Davis Martin | CHW | 12-6 | 742 |
| 4 Nick Martinez | TB | 13-4 | 671 |
| 5 Sonny Gray | BOS | 12-4 | 600 |
| #Name | Team | O/U | % |
|---|---|---|---|
| 1 Jeffrey Springs | ATH | 13-5 | 72.2 |
| 2 Joey Cantillo | CLE | 13-6 | 68.4 |
| 3 Seth Lugo | KC | 12-6 | 66.7 |
| 4 MacKenzie Gore | TEX | 12-6 | 66.7 |
| 5 Kyle Bradish | BAL | 12-6 | 66.7 |
| #Player | Wins |
|---|---|
| 1 Davis Martin | 9 |
| 2 Cam Schlittler | 9 |
| 3 Nathan Eovaldi | 9 |
| 4 Gavin Williams | 9 |
| 5 Taj Bradley | 8 |
| #Player | ERA |
|---|---|
| 1 Cam Schlittler | 2.01 |
| 2 Dylan Cease | 2.56 |
| 3 Nick Martinez | 2.61 |
| 4 Drew Rasmussen | 2.78 |
| 5 Parker Messick | 2.80 |
| #Player | SV |
|---|---|
| 1 Cade Smith | 26 |
| 2 Bryan Baker | 25 |
| 3 Louis Varland | 18 |
| 4 Jacob Latz | 18 |
| 5 Aroldis Chapman | 18 |
| #Player | SO |
|---|---|
| 1 Dylan Cease | 148 |
| 2 Cam Schlittler | 131 |
| 3 Gavin Williams | 123 |
| 4 Joe Ryan | 122 |
| 5 Jacob deGrom | 122 |
| #Name | W/L | % | $ |
|---|---|---|---|
| 1 Chris Guccione | 9-2 | 81.8 | 730 |
| 2 Gabe Morales | 8-4 | 66.7 | 645 |
| 3 Mike Muchlinski | 7-1 | 87.5 | 509 |
| 4 Ben May | 7-2 | 77.8 | 568 |
| 5 Lance Barksdale | 7-3 | 70.0 | 552 |
| #Name | O/U | % | AVG |
|---|---|---|---|
| 1 Alfonso Marquez | 7-1 | 87.5 | 11.8 |
| 2 Steven Jaschinski | 7-1 | 87.5 | 10.0 |
| 3 Erich Bacchus | 7-1 | 87.5 | 9.8 |
| 4 Nate Tomlinson | 7-2 | 77.8 | 9.9 |
| 5 Lance Barksdale | 7-3 | 70.0 | 10.5 |
| #Team | ERA | OBP | OPS | SO |
|---|---|---|---|---|
|
1
MIL
|
3.33 | .293 | .648 | 896 |
|
2
LAD
|
3.48 | .289 | .647 | 827 |
|
3
ATL
|
3.61 | .305 | .680 | 771 |
4
MIA
|
4.04 | .309 | .680 | 780 |
|
5
STL
|
4.16 | .326 | .721 | 683 |
| #Team | W/L | $ | HM $ | AW $ |
|---|---|---|---|---|
|
1
WAS
|
48-46 | 1183 | -837 | 2020 |
|
2
MIL
|
58-34 | 990 | 268 | 722 |
|
3
STL
|
48-43 | 795 | -49 | 844 |
|
4
MIA
|
51-42 | 720 | 717 | 3 |
|
5
ATL
|
53-38 | 378 | 206 | 172 |
| #Player | AVG |
|---|---|
| 1 Otto Lopez | .345 |
| 2 Luis Arraez | .324 |
| 3 Nick Gonzales | .311 |
| 4 Jung Hoo Lee | .308 |
| 5 Michael Harris II | .307 |
| #Player | HR |
|---|---|
| 1 Kyle Schwarber | 32 |
| 2 Hunter Goodman | 27 |
| 3 James Wood | 25 |
| 4 Matt Olson | 24 |
| 5 Brandon Lowe | 21 |
| #Player | RBI |
|---|---|
| 1 Jordan Walker | 70 |
| 2 Luis Garcia Jr. | 68 |
| 3 CJ Abrams | 67 |
| 4 Alec Burleson | 66 |
| 5 Brandon Lowe | 64 |
| #Player | R |
|---|---|
| 1 James Wood | 85 |
| 2 Bryan Reynolds | 64 |
| 3 Brice Turang | 63 |
| 4 Matt Olson | 62 |
| 5 Trea Turner | 62 |
| #Name | Team | W/L | $ |
|---|---|---|---|
| 1 Foster Griffin | WAS | 15-4 | 1251 |
| 2 Tomoyuki Sugano | COL | 10-6 | 951 |
| 3 Eduardo Rodriguez | AZ | 13-5 | 711 |
| 4 Max Meyer | MIA | 14-5 | 661 |
| 5 Zack Wheeler | PHI | 12-2 | 643 |
| #Name | Team | O/U | % |
|---|---|---|---|
| 1 Braxton Ashcraft | PIT | 15-3 | 83.3 |
| 2 Mitch Keller | PIT | 13-5 | 72.2 |
| 3 Sandy Alcantara | MIA | 13-6 | 68.4 |
| 4 Matthew Liberatore | STL | 12-6 | 66.7 |
| 5 Paul Skenes | PIT | 12-7 | 63.2 |
| #Player | Wins |
|---|---|
| 1 Chase Burns | 11 |
| 2 Jacob Misiorowski | 10 |
| 3 Sandy Alcantara | 10 |
| 4 Andre Pallante | 10 |
| 5 Cristopher Sanchez | 10 |
| #Player | ERA |
|---|---|
| 1 Jacob Misiorowski | 1.62 |
| 2 Eduardo Rodriguez | 2.25 |
| 3 Chris Sale | 2.27 |
| 4 Yoshinobu Yamamoto | 2.49 |
| 5 Chase Burns | 2.54 |
| #Player | SV |
|---|---|
| 1 Mason Miller | 23 |
| 2 Riley O'Brien | 22 |
| 3 Jhoan Duran | 22 |
| 4 Paul Sewald | 20 |
| 5 Raisel Iglesias | 18 |
| #Player | SO |
|---|---|
| 1 Jacob Misiorowski | 167 |
| 2 Cristopher Sanchez | 137 |
| 3 Jesus Luzardo | 125 |
| 4 Paul Skenes | 123 |
| 5 Braxton Ashcraft | 122 |
| #Name | W/L | % | $ |
|---|---|---|---|
| 1 Nestor Ceja | 8-4 | 66.7 | 749 |
| 2 Chris Guccione | 7-1 | 87.5 | 707 |
| 3 Tom Hanahan | 7-1 | 87.5 | 618 |
| 4 Carlos Torres | 7-2 | 77.8 | 558 |
| 5 Paul Clemons | 7-3 | 70.0 | 558 |
| #Name | O/U | % | AVG |
|---|---|---|---|
| 1 Mark Wegner | 8-3 | 72.7 | 10.9 |
| 2 Vic Carapazza | 8-4 | 66.7 | 10.7 |
| 3 Lance Barrett | 7-1 | 87.5 | 11.4 |
| 4 Dan Iassogna | 7-3 | 70.0 | 13.5 |
| 5 Jeremie Rehak | 7-3 | 70.0 | 11.7 |
MLB betting stats offer deep insights into how teams perform not just on the diamond — but in relation to oddsmakers’ expectations. With a 162-game season and daily betting opportunities, knowing how to use metrics like ATS, O/U, and situational splits can be the difference between blind betting and sharp strategy.
Here’s a breakdown of the key stats on this page and how to use them for more profitable baseball betting.
What it means: In MLB, ATS typically refers to runline betting — where a team must win by 2+ runs (–1.5) or lose/win by fewer than 2 runs (+1.5).
How to use it: A team like the Rays could be 60-45 ATS, indicating they’ve consistently beaten the runline. Underdogs that win outright or keep games close often offer ATS value.
📌 Runline stats are essential when deciding whether to bet a favorite straight up or lay the –1.5.
🔗 Use the latest MLB odds to compare runline prices and spot market inefficiencies.
What it means: Tracks how often games go Over or Under the posted total runs.
How to use it: Team tendencies — like high-powered lineups or unreliable bullpens — directly influence totals. If the Rockies are 68-40 to the Over, it often signals offensive firepower or Coors Field factor.
📌 Factor in ballpark effects, pitching matchups, and weather when betting totals.
🔗 Learn more with our MLB betting guide.
What it means: Outright win-loss records.
How to use it: Great for evaluating moneyline betting opportunities. Teams might be profitable SU without being elite — especially with plus-money value. For example, the Orioles may be 55-50 SU but +10 units due to frequent underdog wins.
📌 Use SU stats alongside profit/loss metrics to gauge value beyond win totals.
What it means: Tracks performance based on location.
How to use it: Some teams dominate at home but collapse on the road. If the Padres are 35-20 ATS at home but 20-40 away, location should strongly influence your wager.
📌 Ballpark familiarity, travel, and lineup depth often shift performance drastically between venues.
What it means: Shows how teams fare against divisional or league opponents.
How to use it: Divisional matchups are common and often tight. A team with a strong ATS record vs. its division may be particularly effective at exploiting familiar opponents.
📌 Use this when betting series between rivals or when playoff races heat up late in the season.
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Baseball is a grind — but with the right stats and bonus strategy, your bets can go the distance.
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