MLB Betting Stats 2025 2025

League Leaders - Teams

Top 5 Pitching

#Team ERA OBP OPS SO
1 Texas TEX 3.30 .293 .648 729
2 Detroit DET 3.45 .301 .672 793
3 Kansas City KC 3.46 .300 .679 762
4 San Francisco SF 3.49 .308 .683 800
5 NY Mets NYM 3.57 .317 .685 794
See all Pitching statistics

Top 5 Money

#Team W/L $ HM $ AW $
1 Toronto TOR 54-39 1268 1114 154
2 Houston HOU 55-38 1103 939 164
3 LA Angels LAA 45-47 1071 180 891
4 Detroit DET 59-35 1031 748 283
5 Miami MIA 42-49 967 -258 1225
See all Money statistics

Top 5 Hitting

#Team AVG OPS HR SO
1 Houston HOU .260 .736 105 722
2 Tampa Bay TB .260 .734 103 767
3 Toronto TOR .259 .735 98 616
4 LA Dodgers LAD .257 .780 142 778
5 Philadelphia PHI .257 .737 100 737
See all Hitting statistics

Top 5 Bullpen ERA

#Team IP ER ERA
1 San Francisco SF 320.2 113 3.17
2 San Diego SD 333.0 122 3.30
3 Houston HOU 312.2 115 3.31
4 Chi. Cubs CHC 337.0 126 3.37
5 Texas TEX 331.1 125 3.40
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 Laz Diaz 13-6 68.4 456
5 Charlie Ramos 12-4 75.0 549
See all Homer statistics

Top 5 Umpire O/U

#Name O/U % AVG
1 Tom Hanahan 12-4 75.0 10.8
2 Lance Barrett 12-4 75.0 10.3
3 Shane Livensparger 12-5 70.6 9.8
4 Adrian Johnson 12-6 66.7 9.6
5 Andy Fletcher 12-7 63.2 10.2
See all Over Under statistics

League Leaders - Teams

Top 5 Pitching

#Team ERA OBP OPS SO
1 Texas TEX 3.30 .293 .648 729
2 Detroit DET 3.45 .301 .672 793
3 Kansas City KC 3.46 .300 .679 762
4 Houston HOU 3.58 .293 .671 889
5 Tampa Bay TB 3.78 .303 .706 778
See all Pitching statistics

Top 5 Money

#Team W/L $ HM $ AW $
1 Toronto TOR 54-39 1268 1114 154
2 Houston HOU 55-38 1103 939 164
3 LA Angels LAA 45-47 1071 180 891
4 Detroit DET 59-35 1031 748 283
5 Tampa Bay TB 50-43 625 -199 824
See all Money statistics

Top 5 Hitting

#Team AVG OPS HR SO
1 Houston HOU .260 .736 105 722
2 Tampa Bay TB .260 .734 103 767
3 Toronto TOR .259 .735 98 616
4 NY Yankees NYY .257 .795 145 814
5 Boston BOS .257 .763 120 856
See all Hitting statistics

Top 5 Bullpen ERA

#Team IP ER ERA
1 Houston HOU 312.2 115 3.31
2 Texas TEX 331.1 125 3.40
3 Kansas City KC 308.1 120 3.50
4 Boston BOS 345.0 137 3.57
5 Toronto TOR 355.0 141 3.58
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 Carlos Torres 9-4 69.2 695
5 Paul Clemons 8-1 88.9 748
See all Homer statistics

Top 5 Umpire O/U

#Name O/U % AVG
1 Gabe Morales 9-3 75.0 9.9
2 Andy Fletcher 8-5 61.5 10.5
3 Edwin Moscoso 7-2 77.8 9.8
4 Brian Walsh 7-3 70.0 11.5
5 Shane Livensparger 7-3 70.0 10.9
See all Over Under statistics

League Leaders - Teams

Top 5 Pitching

#Team ERA OBP OPS SO
1 San Francisco SF 3.49 .308 .683 800
2 NY Mets NYM 3.57 .317 .685 794
3 Philadelphia PHI 3.66 .306 .688 857
4 Milwaukee MIL 3.68 .309 .684 801
5 Pittsburgh PIT 3.68 .300 .680 698
See all Pitching statistics

Top 5 Money

#Team W/L $ HM $ AW $
1 Miami MIA 42-49 967 -258 1225
2 Milwaukee MIL 53-40 937 847 90
3 St. Louis STL 49-44 404 708 -304
4 San Diego SD 49-43 313 385 -72
5 Chi. Cubs CHC 54-38 281 210 71
See all Money statistics

Top 5 Hitting

#Team AVG OPS HR SO
1 LA Dodgers LAD .257 .780 142 778
2 Philadelphia PHI .257 .737 100 737
3 Chi. Cubs CHC .256 .773 137 715
4 Miami MIA .253 .705 81 730
5 Arizona AZ .251 .773 137 740
See all Hitting statistics

Top 5 Bullpen ERA

#Team IP ER ERA
1 San Francisco SF 320.2 113 3.17
2 San Diego SD 333.0 122 3.30
3 Chi. Cubs CHC 337.0 126 3.37
4 Atlanta ATL 301.0 119 3.56
5 Pittsburgh PIT 322.1 134 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 9-4 69.2 657
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 8-5 61.5 12.1
3 Adrian Johnson 7-2 77.8 10.4
4 Brennan Miller 7-3 70.0 10.3
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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