MLB Betting Stats 2025 2025
League Leaders - Teams
Top 5 Pitching
#Team | ERA | OBP | OPS | SO |
---|---|---|---|---|
1
|
3.28 | .291 | .643 | 670 |
2
|
3.39 | .306 | .670 | 721 |
3
|
3.44 | .299 | .671 | 720 |
4
|
3.46 | .317 | .675 | 738 |
5
|
3.47 | .290 | .661 | 823 |
Top 5 Money
#Team | W/L | $ | HM $ | AW $ |
---|---|---|---|---|
1
|
41-42 | 1049 | 64 | 985 |
2
|
50-34 | 926 | 1239 | -313 |
3
|
53-32 | 878 | 674 | 204 |
4
|
47-38 | 835 | -151 | 986 |
5
|
37-45 | 788 | -307 | 1095 |
Batting Leaders
Top 5 Batting Average
#Player | AVG |
---|---|
1 Aaron Judge | .354 |
2 Jacob Wilson | .339 |
3 Jonathan Aranda | .327 |
4 Jeremy Pena | .322 |
5 Will Smith | .318 |
Top 5 Home Runs
#Player | HR |
---|---|
1 Cal Raleigh | 33 |
2 Aaron Judge | 30 |
3 Shohei Ohtani | 29 |
4 Eugenio Suarez | 26 |
5 Kyle Schwarber | 25 |
Top 5 Runs Batted In
#Player | RBI |
---|---|
1 Cal Raleigh | 71 |
2 Eugenio Suarez | 69 |
3 Seiya Suzuki | 69 |
4 Aaron Judge | 67 |
5 Pete Alonso | 65 |
Top 5 Runs
#Player | R |
---|---|
1 Shohei Ohtani | 82 |
2 Aaron Judge | 73 |
3 Elly De La Cruz | 67 |
4 Juan Soto | 61 |
5 Kyle Tucker | 61 |
Pitching Leaders
Top 5 Starter Money
#Name | Team | W/L | $ |
---|---|---|---|
1 Cal Quantrill | MIA | 9-7 | 889 |
2 Jackson Jobe | DET | 9-1 | 826 |
3 Shane Baz | TB | 12-4 | 778 |
4 Robbie Ray | SF | 13-4 | 743 |
5 Griffin Canning | NYM | 12-4 | 695 |
Top 5 Starter O/U
#Name | Team | O/U | % |
---|---|---|---|
1 Luis Severino | ATH | 12-5 | 70.6 |
2 Sonny Gray | STL | 11-5 | 68.8 |
3 Kevin Gausman | TOR | 11-5 | 68.8 |
4 Yusei Kikuchi | LAA | 11-6 | 64.7 |
5 Eduardo Rodriguez | AZ | 10-4 | 71.4 |
Top 5 Wins
#Player | Wins |
---|---|
1 Max Fried | 10 |
2 Tarik Skubal | 10 |
3 Framber Valdez | 9 |
4 Carlos Rodon | 9 |
5 Brandon Pfaadt | 8 |
Top 5 Earned Run Average
#Player | ERA |
---|---|
1 Hunter Brown | 1.74 |
2 Max Fried | 1.92 |
3 Jacob deGrom | 2.08 |
4 Paul Skenes | 2.12 |
5 Tarik Skubal | 2.15 |
Top 5 Saves
#Player | SV |
---|---|
1 Robert Suarez | 23 |
2 Josh Hader | 23 |
3 Carlos Estevez | 22 |
4 Jeff Hoffman | 19 |
5 Tanner Scott | 18 |
Top 5 Strikeouts
#Player | SO |
---|---|
1 Garrett Crochet | 144 |
2 Tarik Skubal | 138 |
3 Zack Wheeler | 136 |
4 MacKenzie Gore | 129 |
5 Logan Webb | 127 |
Umpires
Top 5 Umpire Homer
#Name | W/L | % | $ |
---|---|---|---|
1 Paul Clemons | 14-2 | 87.5 | 975 |
2 Nestor Ceja | 13-3 | 81.2 | 895 |
3 Stu Scheurwater | 12-3 | 80.0 | 467 |
4 Marvin Hudson | 12-5 | 70.6 | 572 |
5 Bill Miller | 12-6 | 66.7 | 489 |
Top 5 Umpire O/U
#Name | O/U | % | AVG |
---|---|---|---|
1 Tom Hanahan | 12-4 | 75.0 | 10.8 |
2 Lance Barrett | 11-4 | 73.3 | 10.2 |
3 Shane Livensparger | 11-5 | 68.8 | 9.5 |
4 Andy Fletcher | 11-7 | 61.1 | 10.1 |
5 Clint Vondrak | 10-6 | 62.5 | 11.6 |
League Leaders - Teams
Top 5 Pitching
#Team | ERA | OBP | OPS | SO |
---|---|---|---|---|
1
|
3.28 | .291 | .643 | 670 |
2
|
3.44 | .299 | .671 | 720 |
3
|
3.47 | .290 | .661 | 823 |
4
|
3.48 | .294 | .647 | 768 |
5
|
3.50 | .302 | .683 | 689 |
Top 5 Money
#Team | W/L | $ | HM $ | AW $ |
---|---|---|---|---|
1
|
41-42 | 1049 | 64 | 985 |
2
|
50-34 | 926 | 1239 | -313 |
3
|
53-32 | 878 | 674 | 204 |
4
|
47-38 | 835 | -151 | 986 |
5
|
46-38 | 685 | 547 | 138 |
Batting Leaders
Top 5 Batting Average
#Player | AVG |
---|---|
1 Aaron Judge | .354 |
2 Jacob Wilson | .339 |
3 Jonathan Aranda | .327 |
4 Jeremy Pena | .322 |
5 Alejandro Kirk | .311 |
Top 5 Home Runs
#Player | HR |
---|---|
1 Cal Raleigh | 33 |
2 Aaron Judge | 30 |
3 Junior Caminero | 21 |
4 Taylor Ward | 20 |
5 Byron Buxton | 19 |
Top 5 Runs Batted In
#Player | RBI |
---|---|
1 Cal Raleigh | 71 |
2 Aaron Judge | 67 |
3 Riley Greene | 63 |
4 Taylor Ward | 57 |
5 Junior Caminero | 53 |
Top 5 Runs
#Player | R |
---|---|
1 Aaron Judge | 73 |
2 Cal Raleigh | 60 |
3 Brent Rooker | 54 |
4 Byron Buxton | 53 |
5 Julio Rodriguez | 52 |
Pitching Leaders
Top 5 Starter Money
#Name | Team | W/L | $ |
---|---|---|---|
1 Jackson Jobe | DET | 9-1 | 826 |
2 Shane Baz | TB | 12-4 | 778 |
3 Ben Lively | CLE | 7-2 | 574 |
4 Tomoyuki Sugano | BAL | 10-6 | 536 |
5 Hunter Dobbins | BOS | 7-3 | 503 |
Top 5 Starter O/U
#Name | Team | O/U | % |
---|---|---|---|
1 Luis Severino | ATH | 12-5 | 70.6 |
2 Kevin Gausman | TOR | 11-5 | 68.8 |
3 Yusei Kikuchi | LAA | 11-6 | 64.7 |
4 Gavin Williams | CLE | 10-5 | 66.7 |
5 Bailey Ober | MIN | 10-7 | 58.8 |
Top 5 Wins
#Player | Wins |
---|---|
1 Max Fried | 10 |
2 Tarik Skubal | 10 |
3 Framber Valdez | 9 |
4 Carlos Rodon | 9 |
5 Jacob deGrom | 8 |
Top 5 Earned Run Average
#Player | ERA |
---|---|
1 Hunter Brown | 1.74 |
2 Max Fried | 1.92 |
3 Jacob deGrom | 2.08 |
4 Tarik Skubal | 2.15 |
5 Kris Bubic | 2.25 |
Top 5 Saves
#Player | SV |
---|---|
1 Josh Hader | 23 |
2 Carlos Estevez | 22 |
3 Jeff Hoffman | 19 |
4 Andres Munoz | 18 |
5 Emmanuel Clase | 18 |
Top 5 Strikeouts
#Player | SO |
---|---|
1 Garrett Crochet | 144 |
2 Tarik Skubal | 138 |
3 Carlos Rodon | 123 |
4 Hunter Brown | 118 |
5 Framber Valdez | 108 |
Umpires
Top 5 Umpire Homer
#Name | W/L | % | $ |
---|---|---|---|
1 Nestor Ceja | 10-0 | 100.0 | 887 |
2 Marvin Hudson | 9-2 | 81.8 | 790 |
3 Paul Clemons | 8-1 | 88.9 | 748 |
4 Doug Eddings | 8-2 | 80.0 | 694 |
5 Ryan Blakney | 8-2 | 80.0 | 653 |
Top 5 Umpire O/U
#Name | O/U | % | AVG |
---|---|---|---|
1 Brian Walsh | 7-3 | 70.0 | 11.5 |
2 Ron Kulpa | 7-3 | 70.0 | 9.3 |
3 Gabe Morales | 7-3 | 70.0 | 9.0 |
4 Quinn Wolcott | 7-4 | 63.6 | 9.9 |
5 Andy Fletcher | 7-5 | 58.3 | 10.3 |
League Leaders - Teams
Top 5 Pitching
#Team | ERA | OBP | OPS | SO |
---|---|---|---|---|
1
|
3.39 | .306 | .670 | 721 |
2
|
3.46 | .317 | .675 | 738 |
3
|
3.65 | .304 | .669 | 731 |
4
|
3.72 | .309 | .701 | 785 |
5
|
3.73 | .300 | .671 | 636 |
Top 5 Money
#Team | W/L | $ | HM $ | AW $ |
---|---|---|---|---|
1
|
37-45 | 788 | -307 | 1095 |
2
|
47-39 | 720 | 764 | -44 |
3
|
47-37 | 602 | 501 | 101 |
4
|
44-41 | 395 | 286 | 109 |
5
|
45-39 | 377 | 438 | -61 |
Batting Leaders
Top 5 Batting Average
#Player | AVG |
---|---|
1 Will Smith | .318 |
2 Freddie Freeman | .312 |
3 Josh Naylor | .304 |
4 Sal Frelick | .300 |
5 Trea Turner | .295 |
Top 5 Home Runs
#Player | HR |
---|---|
1 Shohei Ohtani | 29 |
2 Eugenio Suarez | 26 |
3 Kyle Schwarber | 25 |
4 James Wood | 22 |
5 Seiya Suzuki | 22 |
Top 5 Runs Batted In
#Player | RBI |
---|---|
1 Eugenio Suarez | 69 |
2 Seiya Suzuki | 69 |
3 Pete Alonso | 65 |
4 James Wood | 64 |
5 Pete Crow-Armstrong | 62 |
Top 5 Runs
#Player | R |
---|---|
1 Shohei Ohtani | 82 |
2 Elly De La Cruz | 67 |
3 Juan Soto | 61 |
4 Kyle Tucker | 61 |
5 Kyle Schwarber | 59 |
Pitching Leaders
Top 5 Starter Money
#Name | Team | W/L | $ |
---|---|---|---|
1 Cal Quantrill | MIA | 9-7 | 889 |
2 Robbie Ray | SF | 13-4 | 743 |
3 Griffin Canning | NYM | 12-4 | 695 |
4 Sonny Gray | STL | 13-3 | 676 |
5 Andrew Abbott | CIN | 10-4 | 615 |
Top 5 Starter O/U
#Name | Team | O/U | % |
---|---|---|---|
1 Sonny Gray | STL | 11-5 | 68.8 |
2 Eduardo Rodriguez | AZ | 10-4 | 71.4 |
3 Jake Irvin | WAS | 10-6 | 62.5 |
4 Spencer Schwellenbach | ATL | 10-6 | 62.5 |
5 German Marquez | COL | 10-7 | 58.8 |
Top 5 Wins
#Player | Wins |
---|---|
1 Brandon Pfaadt | 8 |
2 Robbie Ray | 8 |
3 Nick Pivetta | 8 |
4 Clay Holmes | 8 |
5 Zack Wheeler | 8 |
Top 5 Earned Run Average
#Player | ERA |
---|---|
1 Paul Skenes | 2.12 |
2 Zack Wheeler | 2.27 |
3 Chris Sale | 2.52 |
4 Yoshinobu Yamamoto | 2.61 |
5 Logan Webb | 2.61 |
Top 5 Saves
#Player | SV |
---|---|
1 Robert Suarez | 23 |
2 Tanner Scott | 18 |
3 Kyle Finnegan | 18 |
4 Trevor Megill | 18 |
5 Emilio Pagan | 18 |
Top 5 Strikeouts
#Player | SO |
---|---|
1 Zack Wheeler | 136 |
2 MacKenzie Gore | 129 |
3 Logan Webb | 127 |
4 Dylan Cease | 117 |
5 Chris Sale | 114 |
Umpires
Top 5 Umpire Homer
#Name | W/L | % | $ |
---|---|---|---|
1 Stu Scheurwater | 9-1 | 90.0 | 577 |
2 John Tumpane | 9-2 | 81.8 | 657 |
3 Charlie Ramos | 8-2 | 80.0 | 628 |
4 Bill Miller | 7-2 | 77.8 | 604 |
5 CB Bucknor | 6-1 | 85.7 | 493 |
Top 5 Umpire O/U
#Name | O/U | % | AVG |
---|---|---|---|
1 Clint Vondrak | 8-4 | 66.7 | 12.5 |
2 Bill Miller | 7-2 | 77.8 | 11.0 |
3 Lance Barrett | 6-1 | 85.7 | 12.0 |
4 Brennan Miller | 6-3 | 66.7 | 10.6 |
5 Chris Guccione | 6-3 | 66.7 | 10.0 |
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Pages Related to This Topic
What are MLB betting stats? π
MLB betting stats offer deep insights into how teams perform not just on the diamond β but in relation to oddsmakersβ 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.
Hereβs a breakdown of the key stats on this page and how to use them for more profitable baseball betting.
ATS (Against the Spread / Runline)
What it means: In MLB, ATS typically refers to runline betting β where a team must win by 2+ runs (β1.5) 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 theyβve consistently beaten the runline. Underdogs that win outright or keep games close often offer ATS value.
π Runline stats are essential when deciding whether to bet a favorite straight up or lay the β1.5.
π Use the latest MLB odds to compare runline prices and spot market inefficiencies.
O/U (Over/Under Totals)
What it means: Tracks how often games go Over or Under the posted total runs.
How to use it: Team tendencies β like high-powered lineups or unreliable bullpens β directly influence totals. If the Rockies are 68-40 to the Over, it often signals offensive firepower or Coors Field factor.
π Factor in ballpark effects, pitching matchups, and weather when betting totals.
π Learn more with our MLB betting guide.
SU (Straight-Up)
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 β especially with plus-money value. For example, the Orioles may be 55-50 SU but +10 units due to frequent underdog wins.
π Use SU stats alongside profit/loss metrics to gauge value beyond win totals.
Home/Away Splits
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.
π Ballpark familiarity, travel, and lineup depth often shift performance drastically between venues.
Division/League Records
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.
π Use this when betting series between rivals or when playoff races heat up late in the season.
How to boost your MLB betting success π
Betting on baseball becomes more rewarding when you pair your insights with the best promo codes. Bonuses can help smooth out cold streaks and capitalize on your winning reads.
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Baseball is a grind β but with the right stats and bonus strategy, your bets can go the distance.