MLB Betting Stats 2026 2026

League Leaders - Teams

Top 5 Pitching

#Team ERA OBP OPS SO
1 NY Yankees NYY 3.37 .297 .666 832
2 Milwaukee MIL 3.48 .295 .655 928
3 LA Dodgers LAD 3.56 .289 .649 866
4 Boston BOS 3.59 .304 .681 802
5 Atlanta ATL 3.60 .304 .678 804
See all Pitching statistics

Top 5 Money

#Team W/L $ HM $ AW $
1 Chi. White Sox CHW 50-45 1111 1490 -379
2 Tampa Bay TB 56-38 893 1287 -394
3 Washington WAS 48-49 883 -1137 2020
4 St. Louis STL 50-45 826 -18 844
5 Milwaukee MIL 59-37 771 268 503
See all Money statistics

Top 5 Hitting

#Team AVG OPS HR SO
1 Pittsburgh PIT .263 .768 125 907
2 LA Dodgers LAD .262 .777 127 757
3 Tampa Bay TB .259 .735 94 672
4 San Francisco SF .256 .730 106 743
5 Colorado COL .255 .745 110 852
See all Hitting statistics

Top 5 Bullpen ERA

#Team IP ER ERA
1 NY Yankees NYY 337.0 114 3.04
2 Atlanta ATL 355.1 121 3.06
3 Boston BOS 344.1 123 3.21
4 Seattle SEA 300.2 119 3.56
5 Milwaukee MIL 374.2 149 3.58
See all BullPen ERA statistics

Batting Leaders

Pitching Leaders

Top 5 Starter Money

#Name Team W/L $
1 Foster Griffin WAS 15-4 1251
2 Tomoyuki Sugano COL 10-6 951
3 Brandon Young BAL 12-3 941
4 Eduardo Rodriguez AZ 14-5 883
5 Joey Cantillo CLE 14-6 873
See all Money statistics

Top 5 Starter O/U

#Name Team O/U %
1 Braxton Ashcraft PIT 16-3 84.2
2 Mitch Keller PIT 14-5 73.7
3 Jeffrey Springs ATH 13-5 72.2
4 Seth Lugo KC 13-6 68.4
5 MacKenzie Gore TEX 13-6 68.4
See all Over/Under statistics

Top 5 Earned Run Average

See all ERA statistics

Umpires

Top 5 Umpire Homer

#Name W/L % $
1 Chris Guccione 16-4 80.0 1037
2 Lance Barksdale 14-5 73.7 664
3 Carlos Torres 13-4 76.5 662
4 Nestor Ceja 13-6 68.4 559
5 Hunter Wendelstedt 13-6 68.4 507
See all Homer statistics

Top 5 Umpire O/U

#Name O/U % AVG
1 Alfonso Marquez 14-3 82.4 11.8
2 Erich Bacchus 13-3 81.2 10.6
3 Nate Tomlinson 13-5 72.2 10.0
4 Dan Iassogna 13-6 68.4 11.6
5 Doug Eddings 13-6 68.4 10.4
See all Over Under statistics

League Leaders - Teams

Top 5 Pitching

#Team ERA OBP OPS SO
1 NY Yankees NYY 3.37 .297 .666 832
2 Boston BOS 3.59 .304 .681 802
3 Seattle SEA 3.61 .299 .677 825
4 Detroit DET 3.65 .302 .682 795
5 Cleveland CLE 3.71 .309 .699 870
See all Pitching statistics

Top 5 Money

#Team W/L $ HM $ AW $
1 Chi. White Sox CHW 50-45 1111 1490 -379
2 Tampa Bay TB 56-38 893 1287 -394
3 Cleveland CLE 51-46 538 -213 751
4 Minnesota MIN 48-49 130 -49 179
5 Texas TEX 49-47 -69 -175 106
See all Money statistics

Top 5 Hitting

#Team AVG OPS HR SO
1 Tampa Bay TB .259 .735 94 672
2 Minnesota MIN .248 .738 120 796
3 Kansas City KC .246 .711 97 783
4 Texas TEX .245 .719 109 805
5 Toronto TOR .244 .690 98 701
See all Hitting statistics

Top 5 Bullpen ERA

#Team IP ER ERA
1 NY Yankees NYY 337.0 114 3.04
2 Boston BOS 344.1 123 3.21
3 Seattle SEA 300.2 119 3.56
4 Cleveland CLE 320.1 133 3.74
5 Toronto TOR 404.2 171 3.80
See all BullPen ERA statistics

Batting Leaders

Pitching Leaders

Top 5 Starter Money

#Name Team W/L $
1 Brandon Young BAL 12-3 941
2 Joey Cantillo CLE 14-6 873
3 Nick Martinez TB 14-4 752
4 Davis Martin CHW 12-6 742
5 Sonny Gray BOS 13-4 720
See all Money statistics

Top 5 Starter O/U

#Name Team O/U %
1 Jeffrey Springs ATH 13-5 72.2
2 Seth Lugo KC 13-6 68.4
3 MacKenzie Gore TEX 13-6 68.4
4 Joey Cantillo CLE 13-7 65.0
5 Drew Rasmussen TB 12-6 66.7
See all Over/Under statistics

Top 5 Earned Run Average

See all ERA statistics

Umpires

Top 5 Umpire Homer

#Name W/L % $
1 Chris Guccione 9-3 75.0 730
2 Gabe Morales 9-4 69.2 722
3 Chris Segal 9-4 69.2 672
4 Ben May 7-2 77.8 568
5 Mike Muchlinski 7-2 77.8 509
See all Homer statistics

Top 5 Umpire O/U

#Name O/U % AVG
1 Hunter Wendelstedt 8-3 72.7 10.4
2 Alfonso Marquez 7-1 87.5 11.8
3 Steven Jaschinski 7-1 87.5 10.0
4 Erich Bacchus 7-1 87.5 9.8
5 Emil Jimenez 7-2 77.8 12.2
See all Over Under statistics

League Leaders - Teams

Top 5 Pitching

#Team ERA OBP OPS SO
1 Milwaukee MIL 3.48 .295 .655 928
2 LA Dodgers LAD 3.56 .289 .649 866
3 Atlanta ATL 3.60 .304 .678 804
4 Miami MIA 4.02 .310 .682 815
5 St. Louis STL 4.13 .324 .716 715
See all Pitching statistics

Top 5 Money

#Team W/L $ HM $ AW $
1 Washington WAS 48-49 883 -1137 2020
2 St. Louis STL 50-45 826 -18 844
3 Milwaukee MIL 59-37 771 268 503
4 Miami MIA 52-45 530 527 3
5 Atlanta ATL 55-40 379 206 173
See all Money statistics

Top 5 Hitting

#Team AVG OPS HR SO
1 Pittsburgh PIT .263 .768 125 907
2 LA Dodgers LAD .262 .777 127 757
3 San Francisco SF .256 .730 106 743
4 Colorado COL .255 .745 110 852
5 Milwaukee MIL .254 .735 89 784
See all Hitting statistics

Top 5 Bullpen ERA

#Team IP ER ERA
1 Atlanta ATL 355.1 121 3.06
2 Milwaukee MIL 374.2 149 3.58
3 San Diego SD 406.1 166 3.68
4 Miami MIA 356.0 146 3.69
5 LA Dodgers LAD 319.2 135 3.80
See all BullPen ERA statistics

Batting Leaders

Pitching Leaders

Top 5 Starter Money

#Name Team W/L $
1 Foster Griffin WAS 15-4 1251
2 Tomoyuki Sugano COL 10-6 951
3 Eduardo Rodriguez AZ 14-5 883
4 Zack Wheeler PHI 13-2 755
5 Max Meyer MIA 14-5 661
See all Money statistics

Top 5 Starter O/U

#Name Team O/U %
1 Braxton Ashcraft PIT 16-3 84.2
2 Mitch Keller PIT 14-5 73.7
3 Cade Cavalli WAS 13-6 68.4
4 Sandy Alcantara MIA 13-7 65.0
5 Paul Skenes PIT 13-7 65.0
See all Over/Under statistics

Top 5 Earned Run Average

See all ERA statistics

Umpires

Top 5 Umpire Homer

#Name W/L % $
1 Nestor Ceja 8-5 61.5 749
2 Chris Guccione 7-1 87.5 707
3 Tom Hanahan 7-1 87.5 618
4 Lance Barksdale 7-2 77.8 612
5 Carlos Torres 7-2 77.8 558
See all Homer statistics

Top 5 Umpire O/U

#Name O/U % AVG
1 Lance Barrett 8-1 88.9 11.6
2 Mark Wegner 8-3 72.7 10.9
3 Vic Carapazza 8-4 66.7 10.7
4 Alfonso Marquez 7-2 77.8 11.9
5 Paul Clemons 7-3 70.0 9.2
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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