MLB Betting Stats 2025 2025

League Leaders - Teams

Top 5 Pitching

#Team ERA OBP OPS SO
1 Texas TEX 3.22 .291 .642 703
2 San Francisco SF 3.45 .306 .679 772
3 Detroit DET 3.46 .300 .670 772
4 Kansas City KC 3.48 .302 .683 738
5 Houston HOU 3.48 .292 .666 871
See all Pitching statistics

Top 5 Money

#Team W/L $ HM $ AW $
1 Houston HOU 55-35 1403 1239 164
2 Toronto TOR 52-38 1252 1114 138
3 Detroit DET 57-34 957 674 283
4 LA Angels LAA 43-46 955 64 891
5 Miami MIA 40-48 837 -258 1095
See all Money statistics

Top 5 Hitting

#Team AVG OPS HR SO
1 Houston HOU .261 .738 102 692
2 Tampa Bay TB .260 .734 101 746
3 LA Dodgers LAD .260 .790 141 741
4 Toronto TOR .258 .731 94 605
5 Chi. Cubs CHC .257 .779 136 700
See all Hitting statistics

Top 5 Bullpen ERA

#Team IP ER ERA
1 San Francisco SF 306.1 101 2.97
2 Houston HOU 302.1 108 3.21
3 Chi. Cubs CHC 331.2 120 3.26
4 Texas TEX 317.0 117 3.32
5 San Diego SD 313.2 116 3.33
See all BullPen ERA statistics

Batting Leaders

Pitching Leaders

Umpires

Top 5 Umpire Homer

#Name W/L % $
1 Paul Clemons 14-4 77.8 775
2 Nestor Ceja 13-3 81.2 895
3 Stu Scheurwater 13-3 81.2 579
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 3.22 .291 .642 703
2 Detroit DET 3.46 .300 .670 772
3 Kansas City KC 3.48 .302 .683 738
4 Houston HOU 3.48 .292 .666 871
5 Seattle SEA 3.77 .309 .702 747
See all Pitching statistics

Top 5 Money

#Team W/L $ HM $ AW $
1 Houston HOU 55-35 1403 1239 164
2 Toronto TOR 52-38 1252 1114 138
3 Detroit DET 57-34 957 674 283
4 LA Angels LAA 43-46 955 64 891
5 Tampa Bay TB 49-41 702 -199 901
See all Money statistics

Top 5 Hitting

#Team AVG OPS HR SO
1 Houston HOU .261 .738 102 692
2 Tampa Bay TB .260 .734 101 746
3 Toronto TOR .258 .731 94 605
4 NY Yankees NYY .255 .790 140 801
5 Boston BOS .254 .751 111 833
See all Hitting statistics

Top 5 Bullpen ERA

#Team IP ER ERA
1 Houston HOU 302.1 108 3.21
2 Texas TEX 317.0 117 3.32
3 Kansas City KC 300.0 118 3.54
4 Seattle SEA 327.2 130 3.57
5 Boston BOS 338.2 135 3.59
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 Ron Kulpa 7-3 70.0 9.3
5 Quinn Wolcott 7-4 63.6 9.9
See all Over Under statistics

League Leaders - Teams

Top 5 Pitching

#Team ERA OBP OPS SO
1 San Francisco SF 3.45 .306 .679 772
2 NY Mets NYM 3.54 .317 .685 786
3 Pittsburgh PIT 3.61 .299 .670 680
4 San Diego SD 3.69 .306 .675 755
5 Philadelphia PHI 3.70 .307 .692 832
See all Pitching statistics

Top 5 Money

#Team W/L $ HM $ AW $
1 Miami MIA 40-48 837 -258 1095
2 Milwaukee MIL 50-40 591 501 90
3 Chi. Cubs CHC 54-36 481 210 271
4 St. Louis STL 48-43 460 764 -304
5 San Diego SD 47-41 361 433 -72
See all Money statistics

Top 5 Hitting

#Team AVG OPS HR SO
1 LA Dodgers LAD .260 .790 141 741
2 Chi. Cubs CHC .257 .779 136 700
3 Philadelphia PHI .256 .734 97 717
4 Miami MIA .252 .703 79 714
5 Arizona AZ .252 .772 132 707
See all Hitting statistics

Top 5 Bullpen ERA

#Team IP ER ERA
1 San Francisco SF 306.1 101 2.97
2 Chi. Cubs CHC 331.2 120 3.26
3 San Diego SD 313.2 116 3.33
4 Atlanta ATL 291.2 117 3.61
5 Pittsburgh PIT 312.1 127 3.66
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 Bill Miller 7-3 70.0 604
5 Adrian Johnson 7-3 70.0 592
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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