MLB Betting Stats 2025 2025

League Leaders - Teams

Top 5 Pitching

#Team ERA OBP OPS SO
1 Texas TEX 3.27 .293 .646 718
2 San Francisco SF 3.41 .306 .677 785
3 Detroit DET 3.43 .300 .669 778
4 Kansas City KC 3.47 .301 .680 746
5 Houston HOU 3.52 .293 .669 876
See all Pitching statistics

Top 5 Money

#Team W/L $ HM $ AW $
1 Toronto TOR 53-38 1315 1114 201
2 Houston HOU 55-36 1303 1139 164
3 LA Angels LAA 44-46 1074 183 891
4 Detroit DET 58-34 1048 765 283
5 Miami MIA 41-48 960 -258 1218
See all Money statistics

Top 5 Hitting

#Team AVG OPS HR SO
1 LA Dodgers LAD .260 .788 141 752
2 Houston HOU .260 .738 105 696
3 Tampa Bay TB .259 .731 101 752
4 Toronto TOR .258 .733 97 609
5 Chi. Cubs CHC .257 .779 136 700
See all Hitting statistics

Top 5 Bullpen ERA

#Team IP ER ERA
1 San Francisco SF 314.1 102 2.92
2 Houston HOU 305.2 110 3.24
3 Chi. Cubs CHC 331.2 120 3.26
4 San Diego SD 326.2 120 3.31
5 Texas TEX 324.2 122 3.38
See all BullPen ERA statistics

Batting Leaders

Pitching Leaders

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
See all Homer statistics

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
See all Over Under statistics

League Leaders - Teams

Top 5 Pitching

#Team ERA OBP OPS SO
1 Texas TEX 3.27 .293 .646 718
2 Detroit DET 3.43 .300 .669 778
3 Kansas City KC 3.47 .301 .680 746
4 Houston HOU 3.52 .293 .669 876
5 Seattle SEA 3.77 .309 .702 747
See all Pitching statistics

Top 5 Money

#Team W/L $ HM $ AW $
1 Toronto TOR 53-38 1315 1114 201
2 Houston HOU 55-36 1303 1139 164
3 LA Angels LAA 44-46 1074 183 891
4 Detroit DET 58-34 1048 765 283
5 Tampa Bay TB 49-42 602 -199 801
See all Money statistics

Top 5 Hitting

#Team AVG OPS HR SO
1 Houston HOU .260 .738 105 696
2 Tampa Bay TB .259 .731 101 752
3 Toronto TOR .258 .733 97 609
4 NY Yankees NYY .255 .790 140 801
5 Boston BOS .255 .755 114 843
See all Hitting statistics

Top 5 Bullpen ERA

#Team IP ER ERA
1 Houston HOU 305.2 110 3.24
2 Texas TEX 324.2 122 3.38
3 Kansas City KC 302.0 119 3.55
4 Boston BOS 342.0 135 3.55
5 Seattle SEA 327.2 130 3.57
See all BullPen ERA statistics

Batting Leaders

Pitching Leaders

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
See all Homer statistics

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
See all Over Under statistics

League Leaders - Teams

Top 5 Pitching

#Team ERA OBP OPS SO
1 San Francisco SF 3.41 .306 .677 785
2 NY Mets NYM 3.54 .317 .685 786
3 Pittsburgh PIT 3.68 .300 .676 685
4 San Diego SD 3.69 .306 .674 773
5 Philadelphia PHI 3.70 .307 .691 841
See all Pitching statistics

Top 5 Money

#Team W/L $ HM $ AW $
1 Miami MIA 41-48 960 -258 1218
2 Milwaukee MIL 51-40 712 622 90
3 Chi. Cubs CHC 54-36 481 210 271
4 St. Louis STL 48-43 460 764 -304
5 San Diego SD 48-42 342 414 -72
See all Money statistics

Top 5 Hitting

#Team AVG OPS HR SO
1 LA Dodgers LAD .260 .788 141 752
2 Chi. Cubs CHC .257 .779 136 700
3 Philadelphia PHI .255 .733 97 722
4 Miami MIA .253 .704 80 721
5 Arizona AZ .252 .774 133 716
See all Hitting statistics

Top 5 Bullpen ERA

#Team IP ER ERA
1 San Francisco SF 314.1 102 2.92
2 Chi. Cubs CHC 331.2 120 3.26
3 San Diego SD 326.2 120 3.31
4 Atlanta ATL 291.2 117 3.61
5 Pittsburgh PIT 317.1 132 3.74
See all BullPen ERA statistics

Batting Leaders

Pitching Leaders

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
See all Homer statistics

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
See all Over Under statistics

Pages Related to This Topic

What are MLB betting stats? πŸ“

MLB betting stats offer deep insights into how teams perform not just on the diamond β€” 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.

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 (–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.

πŸ“Œ Runline stats are essential when deciding whether to bet a favorite straight up or lay the –1.5.

πŸ”— 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.

πŸ“Œ Factor in ballpark effects, pitching matchups, and weather when betting totals.

πŸ”— 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.

πŸ“Œ 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.

πŸ“Œ 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.

πŸ“Œ Use this when betting series between rivals or when playoff races heat up late in the season.

How to boost your MLB betting success πŸ“

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Baseball is a grind β€” but with the right stats and bonus strategy, your bets can go the distance.

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