MLB Betting Stats 2025 2025

League Leaders - Teams

Top 5 Pitching

#Team ERA OBP OPS SO
1 Texas TEX 3.44 .296 .665 1021
2 Milwaukee MIL 3.56 .304 .678 1077
3 San Diego SD 3.57 .301 .663 1064
4 Kansas City KC 3.60 .305 .688 977
5 San Francisco SF 3.70 .314 .696 1048
See all Pitching statistics

Top 5 Money

#Team W/L $ HM $ AW $
1 Milwaukee MIL 79-45 2630 1356 1274
2 Toronto TOR 73-52 1736 1541 195
3 Miami MIA 59-65 1471 166 1305
4 LA Angels LAA 60-64 1223 598 625
5 San Diego SD 69-55 1019 1018 1
See all Money statistics

Top 5 Hitting

#Team AVG OPS HR SO
1 Toronto TOR .269 .768 148 837
2 Milwaukee MIL .259 .740 134 979
3 Houston HOU .255 .722 136 977
4 Athletics ATH .254 .754 174 1073
5 LA Dodgers LAD .253 .769 185 1053
See all Hitting statistics

Top 5 Bullpen ERA

#Team IP ER ERA
1 San Diego SD 457.2 151 2.97
2 San Francisco SF 448.2 165 3.31
3 Boston BOS 444.2 170 3.44
4 Cleveland CLE 437.0 174 3.58
5 Texas TEX 448.0 180 3.62
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 Stu Scheurwater 16-5 76.2 644
See all Homer statistics

Top 5 Umpire O/U

#Name O/U % AVG
1 Tom Hanahan 16-7 69.6 10.1
2 Ryan Additon 15-6 71.4 10.0
3 Lance Barrett 15-7 68.2 9.8
4 Shane Livensparger 15-8 65.2 9.3
5 Chris Conroy 15-9 62.5 10.2
See all Over Under statistics

League Leaders - Teams

Top 5 Pitching

#Team ERA OBP OPS SO
1 Texas TEX 3.44 .296 .665 1021
2 Kansas City KC 3.60 .305 .688 977
3 Boston BOS 3.74 .318 .694 1018
4 Detroit DET 3.83 .305 .695 1076
5 Houston HOU 3.84 .301 .693 1172
See all Pitching statistics

Top 5 Money

#Team W/L $ HM $ AW $
1 Toronto TOR 73-52 1736 1541 195
2 LA Angels LAA 60-64 1223 598 625
3 Houston HOU 69-55 936 496 440
4 Boston BOS 68-57 415 997 -582
5 Seattle SEA 68-57 290 248 42
See all Money statistics

Top 5 Hitting

#Team AVG OPS HR SO
1 Toronto TOR .269 .768 148 837
2 Houston HOU .255 .722 136 977
3 Athletics ATH .254 .754 174 1073
4 Boston BOS .253 .752 151 1108
5 Tampa Bay TB .250 .711 137 1068
See all Hitting statistics

Top 5 Bullpen ERA

#Team IP ER ERA
1 Boston BOS 444.2 170 3.44
2 Cleveland CLE 437.0 174 3.58
3 Texas TEX 448.0 180 3.62
4 Seattle SEA 445.1 181 3.66
5 Tampa Bay TB 425.0 175 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 Mike Muchlinski 9-5 64.3 10.1
4 Alfonso Marquez 9-5 64.3 9.7
5 Chad Whitson 8-1 88.9 11.3
See all Over Under statistics

League Leaders - Teams

Top 5 Pitching

#Team ERA OBP OPS SO
1 Milwaukee MIL 3.56 .304 .678 1077
2 San Diego SD 3.57 .301 .663 1064
3 San Francisco SF 3.70 .314 .696 1048
4 Philadelphia PHI 3.75 .304 .693 1120
5 NY Mets NYM 3.78 .321 .698 1059
See all Pitching statistics

Top 5 Money

#Team W/L $ HM $ AW $
1 Milwaukee MIL 79-45 2630 1356 1274
2 Miami MIA 59-65 1471 166 1305
3 San Diego SD 69-55 1019 1018 1
4 Cincinnati CIN 65-60 705 409 296
5 Chi. Cubs CHC 70-54 -61 -95 34
See all Money statistics

Top 5 Hitting

#Team AVG OPS HR SO
1 Milwaukee MIL .259 .740 134 979
2 LA Dodgers LAD .253 .769 185 1053
3 Philadelphia PHI .253 .738 147 1002
4 San Diego SD .252 .705 105 864
5 Miami MIA .252 .712 122 970
See all Hitting statistics

Top 5 Bullpen ERA

#Team IP ER ERA
1 San Diego SD 457.2 151 2.97
2 San Francisco SF 448.2 165 3.31
3 St. Louis STL 440.0 179 3.66
4 Milwaukee MIL 482.2 204 3.80
5 Chi. Cubs CHC 448.1 192 3.85
See all BullPen ERA statistics

Batting Leaders

Pitching Leaders

Umpires

Top 5 Umpire Homer

#Name W/L % $
1 Stu Scheurwater 11-2 84.6 800
2 Charlie Ramos 11-3 78.6 871
3 John Tumpane 11-6 64.7 775
4 Jim Wolf 10-4 71.4 835
5 Jeremie Rehak 9-4 69.2 647
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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