MLB Betting Stats 2026 2026

League Leaders - Teams

Top 5 Pitching

#Team ERA OBP OPS SO
1 NY Yankees NYY 3.21 .292 .656 1301
2 Milwaukee MIL 3.55 .298 .662 1406
3 Atlanta ATL 3.59 .308 .687 1234
4 Boston BOS 3.63 .308 .690 1267
5 Detroit DET 3.67 .306 .686 1171
See all Pitching statistics

Top 5 Money

#Team W/L $ HM $ AW $
1 Tampa Bay TB 87-58 1404 1124 280
2 Chi. White Sox CHW 75-70 1160 1297 -137
3 Milwaukee MIL 91-56 1126 892 234
4 Arizona AZ 78-69 982 483 499
5 Atlanta ATL 85-61 685 955 -270
See all Money statistics

Top 5 Hitting

#Team AVG OPS HR SO
1 Tampa Bay TB .261 .734 154 1011
2 LA Dodgers LAD .257 .759 180 1154
3 Milwaukee MIL .257 .739 137 1238
4 Pittsburgh PIT .254 .734 167 1370
5 Colorado COL .253 .738 161 1270
See all Hitting statistics

Top 5 Bullpen ERA

#Team IP ER ERA
1 NY Yankees NYY 514.2 175 3.06
2 Boston BOS 549.2 192 3.14
3 Atlanta ATL 538.0 200 3.35
4 San Diego SD 618.2 235 3.42
5 Milwaukee MIL 569.1 217 3.43
See all BullPen ERA statistics

Batting Leaders

Pitching Leaders

Top 5 Starter Money

#Name Team W/L $
1 Eduardo Rodriguez AZ 22-7 1474
2 Foster Griffin CLE 21-8 1290
3 Brandon Pfaadt AZ 13-3 1201
4 Tomoyuki Sugano COL 15-11 1184
5 Nick Martinez TB 21-6 1170
See all Money statistics

Top 5 Starter O/U

#Name Team O/U %
1 Braxton Ashcraft PIT 20-8 71.4
2 Jeffrey Springs ATH 19-6 76.0
3 MacKenzie Gore TEX 19-10 65.5
4 Seth Lugo KC 18-10 64.3
5 Freddy Peralta TB 18-10 64.3
See all Over/Under statistics

Top 5 Earned Run Average

See all ERA statistics

Umpires

Top 5 Umpire Homer

#Name W/L % $ Date Matchup
1 Chris Guccione 22-8 73.3 1177 - -
2 Nestor Ceja 20-8 71.4 910 - -
3 Edwin Moscoso 19-7 73.1 772 - -
4 Lance Barksdale 19-8 70.4 879 - -
5 Hunter Wendelstedt 19-10 65.5 612 - -
See all Homer statistics

Top 5 Umpire O/U

#Name O/U % AVG Date Matchup
1 Vic Carapazza 20-12 62.5 9.8 - -
2 Erich Bacchus 19-6 76.0 10.2 - -
3 Adam Hamari 19-10 65.5 9.7 - -
4 Willie Traynor 19-11 63.3 10.2 - -
5 Emil Jimenez 18-6 75.0 11.8 - -
See all Over Under statistics

League Leaders - Teams

Top 5 Pitching

#Team ERA OBP OPS SO
1 NY Yankees NYY 3.21 .292 .656 1301
2 Boston BOS 3.63 .308 .690 1267
3 Detroit DET 3.67 .306 .686 1171
4 Cleveland CLE 3.81 .311 .700 1384
5 Tampa Bay TB 3.81 .289 .682 1174
See all Pitching statistics

Top 5 Money

#Team W/L $ HM $ AW $
1 Tampa Bay TB 87-58 1404 1124 280
2 Chi. White Sox CHW 75-70 1160 1297 -137
3 Boston BOS 80-67 76 -874 950
4 Houston HOU 74-72 47 -561 608
5 NY Yankees NYY 83-62 22 -537 559
See all Money statistics

Top 5 Hitting

#Team AVG OPS HR SO
1 Tampa Bay TB .261 .734 154 1011
2 Boston BOS .248 .726 153 1195
3 Toronto TOR .248 .692 140 1053
4 Kansas City KC .247 .718 154 1141
5 Minnesota MIN .245 .726 172 1157
See all Hitting statistics

Top 5 Bullpen ERA

#Team IP ER ERA
1 NY Yankees NYY 514.2 175 3.06
2 Boston BOS 549.2 192 3.14
3 Cleveland CLE 508.2 204 3.61
4 Chi. White Sox CHW 676.1 276 3.67
5 Toronto TOR 616.0 252 3.68
See all BullPen ERA statistics

Batting Leaders

Pitching Leaders

Top 5 Starter Money

#Name Team W/L $
1 Foster Griffin CLE 21-8 1290
2 Nick Martinez TB 21-6 1170
3 Brandon Young BAL 18-7 1136
4 Jose Soriano TOR 18-11 874
5 Sonny Gray BOS 19-7 844
See all Money statistics

Top 5 Starter O/U

#Name Team O/U %
1 Jeffrey Springs ATH 19-6 76.0
2 MacKenzie Gore TEX 19-10 65.5
3 Seth Lugo KC 18-10 64.3
4 Freddy Peralta TB 18-10 64.3
5 Joey Cantillo CLE 18-12 60.0
See all Over/Under statistics

Top 5 Earned Run Average

See all ERA statistics

Umpires

Top 5 Umpire Homer

#Name W/L % $ Date Matchup
1 Chris Guccione 13-6 68.4 1137 - -
2 Adam Hamari 11-4 73.3 947 - -
3 Chris Segal 11-5 68.8 789 - -
4 Tyler Jones 10-2 83.3 798 - -
5 Brennan Miller 10-6 62.5 822 - -
See all Homer statistics

Top 5 Umpire O/U

#Name O/U % AVG Date Matchup
1 Chris Guccione 11-8 57.9 8.7 - -
2 Hunter Wendelstedt 10-4 71.4 10.0 - -
3 Adam Hamari 10-5 66.7 9.9 - -
4 Mike Estabrook 10-7 58.8 8.7 - -
5 Will Little 10-9 52.6 9.4 - -
See all Over Under statistics

League Leaders - Teams

Top 5 Pitching

#Team ERA OBP OPS SO
1 Milwaukee MIL 3.55 .298 .662 1406
2 Atlanta ATL 3.59 .308 .687 1234
3 LA Dodgers LAD 3.67 .293 .665 1348
4 San Diego SD 3.88 .316 .704 1189
5 Philadelphia PHI 4.00 .312 .712 1427
See all Pitching statistics

Top 5 Money

#Team W/L $ HM $ AW $
1 Milwaukee MIL 91-56 1126 892 234
2 Arizona AZ 78-69 982 483 499
3 Atlanta ATL 85-61 685 955 -270
4 St. Louis STL 72-75 503 -404 907
5 San Diego SD 78-68 319 834 -515
See all Money statistics

Top 5 Hitting

#Team AVG OPS HR SO
1 LA Dodgers LAD .257 .759 180 1154
2 Milwaukee MIL .257 .739 137 1238
3 Pittsburgh PIT .254 .734 167 1370
4 Colorado COL .253 .738 161 1270
5 Chi. Cubs CHC .251 .768 203 1243
See all Hitting statistics

Top 5 Bullpen ERA

#Team IP ER ERA
1 Atlanta ATL 538.0 200 3.35
2 San Diego SD 618.2 235 3.42
3 Milwaukee MIL 569.1 217 3.43
4 NY Mets NYM 594.0 254 3.85
5 LA Dodgers LAD 486.0 212 3.93
See all BullPen ERA statistics

Batting Leaders

Pitching Leaders

Top 5 Starter Money

#Name Team W/L $
1 Eduardo Rodriguez AZ 22-7 1474
2 Brandon Pfaadt AZ 13-3 1201
3 Tomoyuki Sugano COL 15-11 1184
4 Walker Buehler SD 20-9 1034
5 Javier Assad CHC 10-1 846
See all Money statistics

Top 5 Starter O/U

#Name Team O/U %
1 Braxton Ashcraft PIT 20-8 71.4
2 Matthew Liberatore STL 18-10 64.3
3 Cade Cavalli WAS 18-11 62.1
4 Paul Skenes PIT 17-12 58.6
5 Chase Burns CIN 16-11 59.3
See all Over/Under statistics

Umpires

Top 5 Umpire Homer

#Name W/L % $ Date Matchup
1 Nestor Ceja 12-5 70.6 1056 - -
2 Laz Diaz 11-3 78.6 1028 - -
3 Edwin Moscoso 11-3 78.6 790 - -
4 Hunter Wendelstedt 11-4 73.3 900 - -
5 Malachi Moore 11-5 68.8 942 - -
See all Homer statistics

Top 5 Umpire O/U

#Name O/U % AVG Date Matchup
1 Vic Carapazza 12-6 66.7 11.0 - -
2 Emil Jimenez 11-1 91.7 13.1 - -
3 Malachi Moore 11-5 68.8 11.2 - -
4 Erich Bacchus 10-4 71.4 10.8 - -
5 Alfonso Marquez 10-6 62.5 10.5 - -
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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