MLB Betting Stats 2025 2025

League Leaders - Teams

Top 5 Pitching

#Team ERA OBP OPS SO
1 Texas TEX 3.45 .295 .669 1316
2 Milwaukee MIL 3.61 .305 .677 1402
3 San Diego SD 3.64 .301 .670 1392
4 Cleveland CLE 3.68 .311 .696 1351
5 Boston BOS 3.72 .316 .693 1329
See all Pitching statistics

Top 5 Money

#Team W/L $ HM $ AW $
1 Milwaukee MIL 96-63 2151 1180 971
2 Miami MIA 77-82 1959 -56 2015
3 Cleveland CLE 86-73 1534 250 1284
4 Toronto TOR 91-68 1501 1570 -69
5 San Diego SD 87-72 636 922 -286
See all Money statistics

Top 5 Hitting

#Team AVG OPS HR SO
1 Toronto TOR .265 .758 185 1072
2 Milwaukee MIL .260 .738 164 1238
3 Philadelphia PHI .260 .764 210 1301
4 Boston BOS .254 .746 184 1389
5 Athletics ATH .254 .751 218 1376
See all Hitting statistics

Top 5 Bullpen ERA

#Team IP ER ERA
1 San Diego SD 595.1 202 3.05
2 Cleveland CLE 540.0 207 3.45
3 Boston BOS 573.0 222 3.49
4 San Francisco SF 588.0 230 3.52
5 Texas TEX 571.0 227 3.58
See all BullPen ERA statistics

Batting Leaders

Pitching Leaders

Umpires

Top 5 Umpire Homer

#Name W/L % $
1 Laz Diaz 22-9 71.0 995
2 Paul Clemons 21-8 72.4 1023
3 Bill Miller 21-10 67.7 874
4 Adam Hamari 21-10 67.7 725
5 Mike Muchlinski 20-10 66.7 733
See all Homer statistics

Top 5 Umpire O/U

#Name O/U % AVG
1 Alfonso Marquez 19-9 67.9 9.8
2 Shane Livensparger 19-10 65.5 9.2
3 Dan Bellino 18-9 66.7 9.6
4 Ben May 18-10 64.3 10.0
5 Tom Hanahan 18-11 62.1 9.6
See all Over Under statistics

League Leaders - Teams

Top 5 Pitching

#Team ERA OBP OPS SO
1 Texas TEX 3.45 .295 .669 1316
2 Cleveland CLE 3.68 .311 .696 1351
3 Boston BOS 3.72 .316 .693 1329
4 Kansas City KC 3.75 .307 .700 1228
5 Seattle SEA 3.87 .305 .701 1383
See all Pitching statistics

Top 5 Money

#Team W/L $ HM $ AW $
1 Cleveland CLE 86-73 1534 250 1284
2 Toronto TOR 91-68 1501 1570 -69
3 Boston BOS 87-72 584 403 181
4 Houston HOU 85-74 527 352 175
5 Seattle SEA 89-69 486 731 -245
See all Money statistics

Top 5 Hitting

#Team AVG OPS HR SO
1 Toronto TOR .265 .758 185 1072
2 Boston BOS .254 .746 184 1389
3 Athletics ATH .254 .751 218 1376
4 Tampa Bay TB .252 .716 179 1363
5 NY Yankees NYY .251 .786 266 1429
See all Hitting statistics

Top 5 Bullpen ERA

#Team IP ER ERA
1 Cleveland CLE 540.0 207 3.45
2 Boston BOS 573.0 222 3.49
3 Texas TEX 571.0 227 3.58
4 Kansas City KC 547.2 220 3.62
5 Seattle SEA 562.1 232 3.71
See all BullPen ERA statistics

Batting Leaders

Pitching Leaders

Umpires

Top 5 Umpire Homer

#Name W/L % $
1 Laz Diaz 14-3 82.4 1207
2 Adam Hamari 14-4 77.8 1114
3 Nestor Ceja 13-2 86.7 1189
4 Doug Eddings 13-4 76.5 1092
5 Carlos Torres 13-6 68.4 995
See all Homer statistics

Top 5 Umpire O/U

#Name O/U % AVG
1 Alfonso Marquez 13-5 72.2 9.9
2 Gabe Morales 13-5 72.2 9.4
3 Lance Barrett 11-6 64.7 8.8
4 Shane Livensparger 10-5 66.7 10.4
5 Edwin Moscoso 10-5 66.7 8.9
See all Over Under statistics

League Leaders - Teams

Top 5 Pitching

#Team ERA OBP OPS SO
1 Milwaukee MIL 3.61 .305 .677 1402
2 San Diego SD 3.64 .301 .670 1392
3 Pittsburgh PIT 3.79 .305 .687 1286
4 Chi. Cubs CHC 3.82 .297 .699 1221
5 Philadelphia PHI 3.82 .305 .698 1433
See all Pitching statistics

Top 5 Money

#Team W/L $ HM $ AW $
1 Milwaukee MIL 96-63 2151 1180 971
2 Miami MIA 77-82 1959 -56 2015
3 San Diego SD 87-72 636 922 -286
4 Cincinnati CIN 81-78 438 487 -49
5 Philadelphia PHI 94-65 362 999 -637
See all Money statistics

Top 5 Hitting

#Team AVG OPS HR SO
1 Milwaukee MIL .260 .738 164 1238
2 Philadelphia PHI .260 .764 210 1301
3 LA Dodgers LAD .253 .769 239 1323
4 San Diego SD .252 .708 147 1137
5 Arizona AZ .251 .757 210 1283
See all Hitting statistics

Top 5 Bullpen ERA

#Team IP ER ERA
1 San Diego SD 595.1 202 3.05
2 San Francisco SF 588.0 230 3.52
3 St. Louis STL 565.2 227 3.61
4 Milwaukee MIL 617.1 253 3.69
5 Chi. Cubs CHC 566.0 240 3.82
See all BullPen ERA statistics

Batting Leaders

Pitching Leaders

Umpires

Top 5 Umpire Homer

#Name W/L % $
1 Stu Scheurwater 13-5 72.2 969
2 D.J. Reyburn 12-3 80.0 1092
3 Charlie Ramos 12-4 75.0 944
4 Bill Miller 12-5 70.6 1078
5 Jim Wolf 12-5 70.6 1021
See all Homer statistics

Top 5 Umpire O/U

#Name O/U % AVG
1 Doug Eddings 11-3 78.6 11.1
2 Ryan Wills 11-3 78.6 10.8
3 Bill Miller 11-6 64.7 10.5
4 Clint Vondrak 11-7 61.1 12.2
5 Chris Conroy 11-7 61.1 10.6
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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