MLB Betting Stats 2025 2025
League Leaders - Teams
Top 5 Pitching
#Team | ERA | OBP | OPS | SO |
---|---|---|---|---|
1
|
3.27 | .293 | .646 | 718 |
2
|
3.41 | .306 | .677 | 785 |
3
|
3.43 | .300 | .669 | 778 |
4
|
3.47 | .301 | .680 | 746 |
5
|
3.52 | .293 | .669 | 876 |
Top 5 Money
#Team | W/L | $ | HM $ | AW $ |
---|---|---|---|---|
1
|
53-38 | 1315 | 1114 | 201 |
2
|
55-36 | 1303 | 1139 | 164 |
3
|
44-46 | 1074 | 183 | 891 |
4
|
58-34 | 1048 | 765 | 283 |
5
|
41-48 | 960 | -258 | 1218 |
Batting Leaders
Top 5 Batting Average
#Player | AVG |
---|---|
1 Aaron Judge | .360 |
2 Jacob Wilson | .335 |
3 Will Smith | .332 |
4 Jeremy Pena | .322 |
5 Jonathan Aranda | .319 |
Top 5 Home Runs
#Player | HR |
---|---|
1 Cal Raleigh | 35 |
2 Aaron Judge | 33 |
3 Shohei Ohtani | 30 |
4 Eugenio Suarez | 28 |
5 Kyle Schwarber | 27 |
Top 5 Runs Batted In
#Player | RBI |
---|---|
1 Seiya Suzuki | 77 |
2 Cal Raleigh | 74 |
3 Aaron Judge | 74 |
4 Eugenio Suarez | 74 |
5 Pete Alonso | 73 |
Top 5 Runs
#Player | R |
---|---|
1 Shohei Ohtani | 87 |
2 Aaron Judge | 80 |
3 Elly De La Cruz | 68 |
4 Kyle Tucker | 65 |
5 Juan Soto | 65 |
Pitching Leaders
Top 5 Starter Money
#Name | Team | W/L | $ |
---|---|---|---|
1 Cal Quantrill | MIA | 10-7 | 1009 |
2 Robbie Ray | SF | 14-4 | 831 |
3 Jackson Jobe | DET | 9-1 | 826 |
4 Andrew Abbott | CIN | 11-4 | 750 |
5 Griffin Canning | NYM | 12-4 | 695 |
Top 5 Starter O/U
#Name | Team | O/U | % |
---|---|---|---|
1 Yusei Kikuchi | LAA | 13-6 | 68.4 |
2 Luis Severino | ATH | 12-6 | 66.7 |
3 Kevin Gausman | TOR | 12-6 | 66.7 |
4 Eduardo Rodriguez | AZ | 11-4 | 73.3 |
5 German Marquez | COL | 11-6 | 64.7 |
Top 5 Wins
#Player | Wins |
---|---|
1 Max Fried | 11 |
2 Tarik Skubal | 10 |
3 Framber Valdez | 10 |
4 Freddy Peralta | 10 |
5 Jacob deGrom | 9 |
Top 5 Earned Run Average
#Player | ERA |
---|---|
1 Hunter Brown | 1.82 |
2 Paul Skenes | 1.94 |
3 Tarik Skubal | 2.02 |
4 Zack Wheeler | 2.17 |
5 Max Fried | 2.27 |
Top 5 Saves
#Player | SV |
---|---|
1 Josh Hader | 25 |
2 Robert Suarez | 25 |
3 Carlos Estevez | 24 |
4 Jeff Hoffman | 22 |
5 Andres Munoz | 21 |
Top 5 Strikeouts
#Player | SO |
---|---|
1 Garrett Crochet | 151 |
2 Tarik Skubal | 148 |
3 Zack Wheeler | 148 |
4 Logan Webb | 133 |
5 MacKenzie Gore | 131 |
Umpires
Top 5 Umpire Homer
#Name | W/L | % | $ |
---|---|---|---|
1 Stu Scheurwater | 14-3 | 82.4 | 670 |
2 Paul Clemons | 14-4 | 77.8 | 775 |
3 Nestor Ceja | 13-3 | 81.2 | 895 |
4 Charlie Ramos | 12-4 | 75.0 | 549 |
5 Marvin Hudson | 12-5 | 70.6 | 572 |
Top 5 Umpire O/U
#Name | O/U | % | AVG |
---|---|---|---|
1 Tom Hanahan | 12-4 | 75.0 | 10.8 |
2 Adrian Johnson | 12-6 | 66.7 | 9.6 |
3 Andy Fletcher | 12-7 | 63.2 | 10.2 |
4 Lance Barrett | 11-4 | 73.3 | 10.2 |
5 Shane Livensparger | 11-5 | 68.8 | 9.5 |
League Leaders - Teams
Top 5 Pitching
#Team | ERA | OBP | OPS | SO |
---|---|---|---|---|
1
|
3.27 | .293 | .646 | 718 |
2
|
3.43 | .300 | .669 | 778 |
3
|
3.47 | .301 | .680 | 746 |
4
|
3.52 | .293 | .669 | 876 |
5
|
3.77 | .309 | .702 | 747 |
Top 5 Money
#Team | W/L | $ | HM $ | AW $ |
---|---|---|---|---|
1
|
53-38 | 1315 | 1114 | 201 |
2
|
55-36 | 1303 | 1139 | 164 |
3
|
44-46 | 1074 | 183 | 891 |
4
|
58-34 | 1048 | 765 | 283 |
5
|
49-42 | 602 | -199 | 801 |
Batting Leaders
Top 5 Batting Average
#Player | AVG |
---|---|
1 Aaron Judge | .360 |
2 Jacob Wilson | .335 |
3 Jeremy Pena | .322 |
4 Jonathan Aranda | .319 |
5 Jake Meyers | .308 |
Top 5 Home Runs
#Player | HR |
---|---|
1 Cal Raleigh | 35 |
2 Aaron Judge | 33 |
3 Riley Greene | 22 |
4 Junior Caminero | 21 |
5 Spencer Torkelson | 20 |
Top 5 Runs Batted In
#Player | RBI |
---|---|
1 Cal Raleigh | 74 |
2 Aaron Judge | 74 |
3 Riley Greene | 72 |
4 Taylor Ward | 59 |
5 Junior Caminero | 57 |
Top 5 Runs
#Player | R |
---|---|
1 Aaron Judge | 80 |
2 Cal Raleigh | 62 |
3 Byron Buxton | 57 |
4 Bobby Witt Jr. | 56 |
5 Vladimir Guerrero Jr. | 55 |
Pitching Leaders
Top 5 Starter Money
#Name | Team | W/L | $ |
---|---|---|---|
1 Jackson Jobe | DET | 9-1 | 826 |
2 Framber Valdez | HOU | 13-5 | 583 |
3 Shane Baz | TB | 12-6 | 578 |
4 Ben Lively | CLE | 7-2 | 574 |
5 Tyler Anderson | LAA | 10-7 | 565 |
Top 5 Starter O/U
#Name | Team | O/U | % |
---|---|---|---|
1 Yusei Kikuchi | LAA | 13-6 | 68.4 |
2 Luis Severino | ATH | 12-6 | 66.7 |
3 Kevin Gausman | TOR | 12-6 | 66.7 |
4 Gavin Williams | CLE | 11-6 | 64.7 |
5 Jose Berrios | TOR | 11-8 | 57.9 |
Top 5 Wins
#Player | Wins |
---|---|
1 Max Fried | 11 |
2 Tarik Skubal | 10 |
3 Framber Valdez | 10 |
4 Jacob deGrom | 9 |
5 Hunter Brown | 9 |
Top 5 Earned Run Average
#Player | ERA |
---|---|
1 Hunter Brown | 1.82 |
2 Tarik Skubal | 2.02 |
3 Max Fried | 2.27 |
4 Jacob deGrom | 2.29 |
5 Kris Bubic | 2.36 |
Top 5 Saves
#Player | SV |
---|---|
1 Josh Hader | 25 |
2 Carlos Estevez | 24 |
3 Jeff Hoffman | 22 |
4 Andres Munoz | 21 |
5 Emmanuel Clase | 19 |
Top 5 Strikeouts
#Player | SO |
---|---|
1 Garrett Crochet | 151 |
2 Tarik Skubal | 148 |
3 Carlos Rodon | 127 |
4 Hunter Brown | 126 |
5 Joe Ryan | 116 |
Umpires
Top 5 Umpire Homer
#Name | W/L | % | $ |
---|---|---|---|
1 Nestor Ceja | 10-0 | 100.0 | 887 |
2 Doug Eddings | 9-2 | 81.8 | 836 |
3 Marvin Hudson | 9-2 | 81.8 | 790 |
4 Paul Clemons | 8-1 | 88.9 | 748 |
5 Ryan Blakney | 8-2 | 80.0 | 653 |
Top 5 Umpire O/U
#Name | O/U | % | AVG |
---|---|---|---|
1 Gabe Morales | 8-3 | 72.7 | 9.4 |
2 Andy Fletcher | 8-5 | 61.5 | 10.5 |
3 Brian Walsh | 7-3 | 70.0 | 11.5 |
4 Mike Muchlinski | 7-3 | 70.0 | 10.4 |
5 Ron Kulpa | 7-3 | 70.0 | 9.3 |
League Leaders - Teams
Top 5 Pitching
#Team | ERA | OBP | OPS | SO |
---|---|---|---|---|
1
|
3.41 | .306 | .677 | 785 |
2
|
3.54 | .317 | .685 | 786 |
3
|
3.68 | .300 | .676 | 685 |
4
|
3.69 | .306 | .674 | 773 |
5
|
3.70 | .307 | .691 | 841 |
Top 5 Money
#Team | W/L | $ | HM $ | AW $ |
---|---|---|---|---|
1
|
41-48 | 960 | -258 | 1218 |
2
|
51-40 | 712 | 622 | 90 |
3
|
54-36 | 481 | 210 | 271 |
4
|
48-43 | 460 | 764 | -304 |
5
|
48-42 | 342 | 414 | -72 |
Batting Leaders
Top 5 Batting Average
#Player | AVG |
---|---|
1 Will Smith | .332 |
2 Freddie Freeman | .307 |
3 Trea Turner | .299 |
4 Josh Naylor | .299 |
5 Michael Busch | .297 |
Top 5 Home Runs
#Player | HR |
---|---|
1 Shohei Ohtani | 30 |
2 Eugenio Suarez | 28 |
3 Kyle Schwarber | 27 |
4 Seiya Suzuki | 25 |
5 James Wood | 23 |
Top 5 Runs Batted In
#Player | RBI |
---|---|
1 Seiya Suzuki | 77 |
2 Eugenio Suarez | 74 |
3 Pete Alonso | 73 |
4 James Wood | 67 |
5 Pete Crow-Armstrong | 67 |
Top 5 Runs
#Player | R |
---|---|
1 Shohei Ohtani | 87 |
2 Elly De La Cruz | 68 |
3 Kyle Tucker | 65 |
4 Juan Soto | 65 |
5 Pete Crow-Armstrong | 64 |
Pitching Leaders
Top 5 Starter Money
#Name | Team | W/L | $ |
---|---|---|---|
1 Cal Quantrill | MIA | 10-7 | 1009 |
2 Robbie Ray | SF | 14-4 | 831 |
3 Andrew Abbott | CIN | 11-4 | 750 |
4 Griffin Canning | NYM | 12-4 | 695 |
5 Sonny Gray | STL | 13-4 | 676 |
Top 5 Starter O/U
#Name | Team | O/U | % |
---|---|---|---|
1 Eduardo Rodriguez | AZ | 11-4 | 73.3 |
2 German Marquez | COL | 11-6 | 64.7 |
3 Brandon Pfaadt | AZ | 10-6 | 62.5 |
4 Jake Irvin | WAS | 10-6 | 62.5 |
5 Spencer Schwellenbach | ATL | 10-6 | 62.5 |
Top 5 Wins
#Player | Wins |
---|---|
1 Freddy Peralta | 10 |
2 Zack Wheeler | 9 |
3 Matthew Boyd | 9 |
4 Nick Pivetta | 9 |
5 Robbie Ray | 9 |
Top 5 Earned Run Average
#Player | ERA |
---|---|
1 Paul Skenes | 1.94 |
2 Zack Wheeler | 2.17 |
3 Matthew Boyd | 2.52 |
4 Chris Sale | 2.52 |
5 Cristopher Sanchez | 2.59 |
Top 5 Saves
#Player | SV |
---|---|
1 Robert Suarez | 25 |
2 Trevor Megill | 20 |
3 Emilio Pagan | 19 |
4 Kyle Finnegan | 18 |
5 Tanner Scott | 18 |
Top 5 Strikeouts
#Player | SO |
---|---|
1 Zack Wheeler | 148 |
2 Logan Webb | 133 |
3 MacKenzie Gore | 131 |
4 Paul Skenes | 125 |
5 Dylan Cease | 121 |
Umpires
Top 5 Umpire Homer
#Name | W/L | % | $ |
---|---|---|---|
1 Stu Scheurwater | 10-1 | 90.9 | 689 |
2 Charlie Ramos | 9-2 | 81.8 | 696 |
3 John Tumpane | 9-3 | 75.0 | 657 |
4 Jim Wolf | 8-4 | 66.7 | 675 |
5 Bill Miller | 7-3 | 70.0 | 604 |
Top 5 Umpire O/U
#Name | O/U | % | AVG |
---|---|---|---|
1 Bill Miller | 8-2 | 80.0 | 11.2 |
2 Clint Vondrak | 8-4 | 66.7 | 12.5 |
3 Adrian Johnson | 7-2 | 77.8 | 10.4 |
4 Brennan Miller | 7-3 | 70.0 | 10.5 |
5 Ben May | 7-4 | 63.6 | 8.7 |
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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.