MLB Betting Stats 2025 2025

League Leaders - Teams

Top 5 Pitching

#Team ERA OBP OPS SO
1 Texas TEX 3.45 .297 .667 1031
2 Milwaukee MIL 3.57 .304 .679 1086
3 San Diego SD 3.58 .302 .665 1074
4 Kansas City KC 3.60 .305 .688 982
5 San Francisco SF 3.67 .314 .695 1055
See all Pitching statistics

Top 5 Money

#Team W/L $ HM $ AW $
1 Milwaukee MIL 79-46 2530 1356 1174
2 Toronto TOR 73-53 1636 1541 95
3 Miami MIA 59-66 1371 66 1305
4 LA Angels LAA 60-65 1123 498 625
5 San Diego SD 69-56 919 918 1
See all Money statistics

Top 5 Hitting

#Team AVG OPS HR SO
1 Toronto TOR .268 .767 148 848
2 Milwaukee MIL .259 .740 135 988
3 Philadelphia PHI .255 .743 151 1006
4 Athletics ATH .254 .754 174 1073
5 Houston HOU .254 .720 136 988
See all Hitting statistics

Top 5 Bullpen ERA

#Team IP ER ERA
1 San Diego SD 461.0 151 2.95
2 San Francisco SF 451.0 165 3.29
3 Boston BOS 447.2 174 3.50
4 Cleveland CLE 440.2 175 3.57
5 Texas TEX 452.1 181 3.60
See all BullPen ERA statistics

Batting Leaders

Pitching Leaders

Umpires

Top 5 Umpire Homer

#Name W/L % $
1 Paul Clemons 18-6 75.0 946
2 Carlos Torres 17-6 73.9 835
3 Laz Diaz 17-7 70.8 761
4 Ryan Blakney 17-7 70.8 667
5 CB Bucknor 16-6 72.7 791
See all Homer statistics

Top 5 Umpire O/U

#Name O/U % AVG
1 Tom Hanahan 16-7 69.6 10.1
2 Lance Barrett 16-7 69.6 9.8
3 Ryan Additon 15-6 71.4 10.0
4 Shane Livensparger 15-8 65.2 9.3
5 Chris Conroy 15-10 60.0 10.0
See all Over Under statistics

League Leaders - Teams

Top 5 Pitching

#Team ERA OBP OPS SO
1 Texas TEX 3.45 .297 .667 1031
2 Kansas City KC 3.60 .305 .688 982
3 Boston BOS 3.76 .319 .696 1028
4 Detroit DET 3.80 .304 .693 1087
5 Cleveland CLE 3.86 .318 .708 1044
See all Pitching statistics

Top 5 Money

#Team W/L $ HM $ AW $
1 Toronto TOR 73-53 1636 1541 95
2 LA Angels LAA 60-65 1123 498 625
3 Houston HOU 69-56 836 496 340
4 Cleveland CLE 64-60 390 -541 931
5 Boston BOS 68-58 315 897 -582
See all Money statistics

Top 5 Hitting

#Team AVG OPS HR SO
1 Toronto TOR .268 .767 148 848
2 Athletics ATH .254 .754 174 1073
3 Houston HOU .254 .720 136 988
4 Boston BOS .253 .749 151 1116
5 Tampa Bay TB .250 .711 137 1068
See all Hitting statistics

Top 5 Bullpen ERA

#Team IP ER ERA
1 Boston BOS 447.2 174 3.50
2 Cleveland CLE 440.2 175 3.57
3 Texas TEX 452.1 181 3.60
4 Tampa Bay TB 425.0 175 3.71
5 Kansas City KC 432.0 178 3.71
See all BullPen ERA statistics

Batting Leaders

Pitching Leaders

Umpires

Top 5 Umpire Homer

#Name W/L % $
1 Ryan Blakney 12-2 85.7 944
2 Nestor Ceja 11-1 91.7 964
3 Laz Diaz 11-1 91.7 944
4 Marvin Hudson 11-4 73.3 901
5 Carlos Torres 11-4 73.3 873
See all Homer statistics

Top 5 Umpire O/U

#Name O/U % AVG
1 Gabe Morales 10-5 66.7 9.2
2 Shane Livensparger 9-3 75.0 11.3
3 Lance Barrett 9-4 69.2 9.4
4 Mike Muchlinski 9-5 64.3 10.1
5 Alfonso Marquez 9-5 64.3 9.7
See all Over Under statistics

League Leaders - Teams

Top 5 Pitching

#Team ERA OBP OPS SO
1 Milwaukee MIL 3.57 .304 .679 1086
2 San Diego SD 3.58 .302 .665 1074
3 San Francisco SF 3.67 .314 .695 1055
4 Philadelphia PHI 3.78 .304 .694 1134
5 NY Mets NYM 3.78 .321 .698 1059
See all Pitching statistics

Top 5 Money

#Team W/L $ HM $ AW $
1 Milwaukee MIL 79-46 2530 1356 1174
2 Miami MIA 59-66 1371 66 1305
3 San Diego SD 69-56 919 918 1
4 Cincinnati CIN 66-60 794 409 385
5 Chi. Cubs CHC 71-54 6 -28 34
See all Money statistics

Top 5 Hitting

#Team AVG OPS HR SO
1 Milwaukee MIL .259 .740 135 988
2 Philadelphia PHI .255 .743 151 1006
3 LA Dodgers LAD .253 .768 185 1065
4 San Diego SD .251 .704 106 871
5 Miami MIA .251 .712 123 978
See all Hitting statistics

Top 5 Bullpen ERA

#Team IP ER ERA
1 San Diego SD 461.0 151 2.95
2 San Francisco SF 451.0 165 3.29
3 St. Louis STL 444.0 179 3.63
4 Milwaukee MIL 485.2 205 3.80
5 Chi. Cubs CHC 452.0 192 3.82
See all BullPen ERA statistics

Batting Leaders

Pitching Leaders

Umpires

Top 5 Umpire Homer

#Name W/L % $
1 Charlie Ramos 11-3 78.6 871
2 Stu Scheurwater 11-3 78.6 800
3 John Tumpane 11-6 64.7 775
4 Jim Wolf 10-4 71.4 835
5 Ryan Additon 9-3 75.0 961
See all Homer statistics

Top 5 Umpire O/U

#Name O/U % AVG
1 Bill Miller 11-2 84.6 11.8
2 Clint Vondrak 10-6 62.5 12.4
3 Ryan Wills 9-2 81.8 10.9
4 Tom Hanahan 9-4 69.2 9.8
5 Chris Conroy 9-7 56.2 9.9
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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