MLB Betting Stats 2025 2025

League Leaders - Teams

Top 5 Pitching

#Team ERA OBP OPS SO
1 Texas TEX 3.42 .294 .665 1243
2 Milwaukee MIL 3.63 .307 .680 1317
3 San Diego SD 3.64 .300 .668 1312
4 Kansas City KC 3.73 .308 .699 1174
5 Boston BOS 3.74 .318 .696 1233
See all Pitching statistics

Top 5 Money

#Team W/L $ HM $ AW $
1 Milwaukee MIL 91-59 2219 1049 1170
2 Toronto TOR 87-62 1752 1692 60
3 Miami MIA 70-80 1409 -56 1465
4 Cleveland CLE 78-71 800 132 668
5 LA Angels LAA 69-81 636 175 461
See all Money statistics

Top 5 Hitting

#Team AVG OPS HR SO
1 Toronto TOR .270 .771 178 1008
2 Philadelphia PHI .261 .763 191 1215
3 Milwaukee MIL .260 .741 160 1170
4 Athletics ATH .255 .759 211 1288
5 LA Dodgers LAD .254 .768 217 1243
See all Hitting statistics

Top 5 Bullpen ERA

#Team IP ER ERA
1 San Diego SD 558.2 194 3.12
2 San Francisco SF 550.0 208 3.40
3 Boston BOS 537.1 206 3.45
4 Cleveland CLE 507.2 199 3.53
5 St. Louis STL 532.1 213 3.60
See all BullPen ERA statistics

Batting Leaders

Pitching Leaders

Umpires

Top 5 Umpire Homer

#Name W/L % $
1 Laz Diaz 21-8 72.4 986
2 Paul Clemons 20-8 71.4 918
3 Carlos Torres 20-8 71.4 831
4 Charlie Ramos 19-8 70.4 823
5 Mike Muchlinski 19-9 67.9 755
See all Homer statistics

Top 5 Umpire O/U

#Name O/U % AVG
1 Alfonso Marquez 18-9 66.7 9.7
2 Lance Barrett 18-9 66.7 9.4
3 Tom Hanahan 18-10 64.3 9.8
4 Chris Conroy 18-11 62.1 10.3
5 Ryan Additon 17-8 68.0 9.9
See all Over Under statistics

League Leaders - Teams

Top 5 Pitching

#Team ERA OBP OPS SO
1 Texas TEX 3.42 .294 .665 1243
2 Kansas City KC 3.73 .308 .699 1174
3 Boston BOS 3.74 .318 .696 1233
4 Cleveland CLE 3.80 .315 .704 1236
5 Houston HOU 3.86 .302 .694 1404
See all Pitching statistics

Top 5 Money

#Team W/L $ HM $ AW $
1 Toronto TOR 87-62 1752 1692 60
2 Cleveland CLE 78-71 800 132 668
3 LA Angels LAA 69-81 636 175 461
4 Houston HOU 81-69 621 337 284
5 Boston BOS 81-68 459 472 -13
See all Money statistics

Top 5 Hitting

#Team AVG OPS HR SO
1 Toronto TOR .270 .771 178 1008
2 Athletics ATH .255 .759 211 1288
3 Boston BOS .253 .747 176 1313
4 Houston HOU .252 .718 166 1200
5 Tampa Bay TB .252 .718 171 1273
See all Hitting statistics

Top 5 Bullpen ERA

#Team IP ER ERA
1 Boston BOS 537.1 206 3.45
2 Cleveland CLE 507.2 199 3.53
3 Kansas City KC 520.2 209 3.61
4 Texas TEX 533.0 216 3.65
5 Seattle SEA 538.0 218 3.65
See all BullPen ERA statistics

Batting Leaders

Pitching Leaders

Umpires

Top 5 Umpire Homer

#Name W/L % $
1 Laz Diaz 13-2 86.7 1098
2 Doug Eddings 13-3 81.2 1092
3 Carlos Torres 13-5 72.2 995
4 Nestor Ceja 12-2 85.7 1098
5 Alan Porter 12-3 80.0 1096
See all Homer statistics

Top 5 Umpire O/U

#Name O/U % AVG
1 Alfonso Marquez 12-5 70.6 9.9
2 Gabe Morales 12-5 70.6 9.5
3 Lance Barrett 11-5 68.8 9.0
4 Brian Walsh 10-6 62.5 10.9
5 Mike Muchlinski 10-6 62.5 10.1
See all Over Under statistics

League Leaders - Teams

Top 5 Pitching

#Team ERA OBP OPS SO
1 Milwaukee MIL 3.63 .307 .680 1317
2 San Diego SD 3.64 .300 .668 1312
3 Philadelphia PHI 3.83 .305 .695 1365
4 San Francisco SF 3.84 .318 .702 1256
5 Chi. Cubs CHC 3.86 .299 .703 1146
See all Pitching statistics

Top 5 Money

#Team W/L $ HM $ AW $
1 Milwaukee MIL 91-59 2219 1049 1170
2 Miami MIA 70-80 1409 -56 1465
3 San Diego SD 82-68 592 815 -223
4 Philadelphia PHI 89-61 290 964 -674
5 Cincinnati CIN 74-75 143 277 -134
See all Money statistics

Top 5 Hitting

#Team AVG OPS HR SO
1 Philadelphia PHI .261 .763 191 1215
2 Milwaukee MIL .260 .741 160 1170
3 LA Dodgers LAD .254 .768 217 1243
4 San Diego SD .252 .709 135 1065
5 Arizona AZ .250 .757 203 1221
See all Hitting statistics

Top 5 Bullpen ERA

#Team IP ER ERA
1 San Diego SD 558.2 194 3.12
2 San Francisco SF 550.0 208 3.40
3 St. Louis STL 532.1 213 3.60
4 Milwaukee MIL 578.2 240 3.73
5 Chi. Cubs CHC 534.1 228 3.84
See all BullPen ERA statistics

Batting Leaders

Pitching Leaders

Umpires

Top 5 Umpire Homer

#Name W/L % $
1 Charlie Ramos 12-3 80.0 944
2 Stu Scheurwater 12-5 70.6 888
3 Ryan Additon 11-3 78.6 1118
4 Bill Miller 11-5 68.8 991
5 Jim Wolf 11-5 68.8 937
See all Homer statistics

Top 5 Umpire O/U

#Name O/U % AVG
1 Ryan Wills 11-2 84.6 11.3
2 Bill Miller 11-5 68.8 10.9
3 Clint Vondrak 11-7 61.1 12.2
4 Chris Conroy 11-7 61.1 10.6
5 Doug Eddings 10-3 76.9 10.7
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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