Braves vs Mets Prediction, Picks & Odds for Tonight's MLB Game
| #Team | ERA | OBP | OPS | SO |
|---|---|---|---|---|
|
1
|
3.27 | .295 | .655 | 602 |
|
2
|
3.36 | .296 | .644 | 583 |
|
3
|
3.36 | .282 | .632 | 624 |
|
4
|
3.42 | .301 | .662 | 654 |
|
5
|
3.57 | .302 | .680 | 610 |
| #Team | W/L | $ | HM $ | AW $ |
|---|---|---|---|---|
|
1
|
37-31 | 1186 | 1379 | -193 |
|
2
|
45-24 | 1057 | 474 | 583 |
|
3
|
37-30 | 1044 | 330 | 714 |
|
4
|
35-35 | 1019 | -795 | 1814 |
|
5
|
40-26 | 881 | 1085 | -204 |
| #Player | AVG |
|---|---|
| 1 Otto Lopez | .342 |
| 2 Jung Hoo Lee | .333 |
| 3 Yandy Diaz | .329 |
| 4 Luis Arraez | .326 |
| 5 Brandon Marsh | .322 |
| #Player | HR |
|---|---|
| 1 Kyle Schwarber | 24 |
| 2 Yordan Alvarez | 24 |
| 3 Byron Buxton | 21 |
| 4 Munetaka Murakami | 20 |
| 5 Matt Olson | 20 |
| #Player | RBI |
|---|---|
| 1 Andy Pages | 56 |
| 2 Jordan Walker | 55 |
| 3 Yordan Alvarez | 54 |
| 4 Matt Olson | 51 |
| 5 CJ Abrams | 51 |
| #Player | R |
|---|---|
| 1 James Wood | 63 |
| 2 Brice Turang | 53 |
| 3 Mike Trout | 51 |
| 4 Miguel Vargas | 50 |
| 5 Ben Rice | 50 |
| #Name | Team | W/L | $ |
|---|---|---|---|
| 1 Davis Martin | CHW | 11-2 | 1063 |
| 2 Foster Griffin | WAS | 10-4 | 850 |
| 3 Spencer Arrighetti | HOU | 9-1 | 819 |
| 4 Brandon Young | BAL | 9-1 | 779 |
| 5 Tomoyuki Sugano | COL | 8-5 | 701 |
| #Name | Team | O/U | % |
|---|---|---|---|
| 1 Braxton Ashcraft | PIT | 12-2 | 85.7 |
| 2 Joey Cantillo | CLE | 11-3 | 78.6 |
| 3 Brady Singer | CIN | 10-2 | 83.3 |
| 4 Bailey Ober | MIN | 10-2 | 83.3 |
| 5 Drew Rasmussen | TB | 10-3 | 76.9 |
| #Player | Wins |
|---|---|
| 1 Davis Martin | 9 |
| 2 Gavin Williams | 9 |
| 3 Jacob Misiorowski | 8 |
| 4 Chris Sale | 8 |
| 5 Cristopher Sanchez | 8 |
| #Player | ERA |
|---|---|
| 1 Jacob Misiorowski | 1.34 |
| 2 Cristopher Sanchez | 1.54 |
| 3 Cam Schlittler | 1.87 |
| 4 Chase Burns | 2.14 |
| 5 Chris Sale | 2.30 |
| #Player | SV |
|---|---|
| 1 Cade Smith | 22 |
| 2 Mason Miller | 18 |
| 3 Bryan Baker | 18 |
| 4 Riley O'Brien | 17 |
| 5 Jhoan Duran | 17 |
| #Player | SO |
|---|---|
| 1 Jacob Misiorowski | 131 |
| 2 Cristopher Sanchez | 113 |
| 3 Gavin Williams | 99 |
| 4 Reid Detmers | 97 |
| 5 Chris Sale | 92 |
| #Name | W/L | % | $ |
|---|---|---|---|
| 1 Chris Guccione | 13-2 | 86.7 | 1006 |
| 2 Hunter Wendelstedt | 11-2 | 84.6 | 743 |
| 3 Nestor Ceja | 11-3 | 78.6 | 755 |
| 4 Jordan Baker | 11-3 | 78.6 | 657 |
| 5 Lance Barksdale | 10-3 | 76.9 | 500 |
| #Name | O/U | % | AVG |
|---|---|---|---|
| 1 Erich Bacchus | 10-2 | 83.3 | 11.0 |
| 2 Tom Hanahan | 10-2 | 83.3 | 10.0 |
| 3 Willie Traynor | 9-3 | 75.0 | 11.5 |
| 4 Doug Eddings | 9-3 | 75.0 | 10.8 |
| 5 Alfonso Marquez | 9-3 | 75.0 | 10.4 |
| #Team | ERA | OBP | OPS | SO |
|---|---|---|---|---|
|
1
|
3.36 | .296 | .644 | 583 |
|
2
|
3.57 | .302 | .680 | 610 |
|
3
|
3.74 | .305 | .687 | 567 |
|
4
|
3.79 | .309 | .703 | 648 |
|
5
|
3.89 | .314 | .706 | 563 |
| #Team | W/L | $ | HM $ | AW $ |
|---|---|---|---|---|
|
1
|
37-31 | 1186 | 1379 | -193 |
|
2
|
40-26 | 881 | 1085 | -204 |
|
3
|
38-33 | 500 | -294 | 794 |
|
4
|
34-35 | 168 | -556 | 724 |
|
5
|
41-27 | 86 | -99 | 185 |
| #Player | AVG |
|---|---|
| 1 Yandy Diaz | .329 |
| 2 Yordan Alvarez | .321 |
| 3 Josh Jung | .308 |
| 4 Ernie Clement | .306 |
| 5 Riley Greene | .298 |
| #Player | HR |
|---|---|
| 1 Yordan Alvarez | 24 |
| 2 Byron Buxton | 21 |
| 3 Munetaka Murakami | 20 |
| 4 Shea Langeliers | 18 |
| 5 Ben Rice | 18 |
| #Player | RBI |
|---|---|
| 1 Yordan Alvarez | 54 |
| 2 Nick Kurtz | 50 |
| 3 Dillon Dingler | 49 |
| 4 Christian Walker | 49 |
| 5 Jonathan Aranda | 48 |
| #Player | R |
|---|---|
| 1 Mike Trout | 51 |
| 2 Miguel Vargas | 50 |
| 3 Ben Rice | 50 |
| 4 Yordan Alvarez | 48 |
| 5 Nick Kurtz | 47 |
| #Name | Team | W/L | $ |
|---|---|---|---|
| 1 Davis Martin | CHW | 11-2 | 1063 |
| 2 Spencer Arrighetti | HOU | 9-1 | 819 |
| 3 Brandon Young | BAL | 9-1 | 779 |
| 4 Joey Cantillo | CLE | 10-4 | 647 |
| 5 Gavin Williams | CLE | 10-4 | 638 |
| #Name | Team | O/U | % |
|---|---|---|---|
| 1 Joey Cantillo | CLE | 11-3 | 78.6 |
| 2 Bailey Ober | MIN | 10-2 | 83.3 |
| 3 Drew Rasmussen | TB | 10-3 | 76.9 |
| 4 Kyle Bradish | BAL | 10-4 | 71.4 |
| 5 Jeffrey Springs | ATH | 9-4 | 69.2 |
| #Player | Wins |
|---|---|
| 1 Davis Martin | 9 |
| 2 Gavin Williams | 9 |
| 3 Will Warren | 7 |
| 4 Cam Schlittler | 7 |
| 5 Jose Soriano | 7 |
| #Player | ERA |
|---|---|
| 1 Cam Schlittler | 1.87 |
| 2 Davis Martin | 2.41 |
| 3 Nick Martinez | 2.43 |
| 4 Parker Messick | 2.68 |
| 5 Drew Rasmussen | 2.71 |
| #Player | SV |
|---|---|
| 1 Cade Smith | 22 |
| 2 Bryan Baker | 18 |
| 3 David Bednar | 13 |
| 4 Aroldis Chapman | 13 |
| 5 Louis Varland | 12 |
| #Player | SO |
|---|---|
| 1 Gavin Williams | 99 |
| 2 Reid Detmers | 97 |
| 3 Joe Ryan | 92 |
| 4 Cam Schlittler | 89 |
| 5 Jose Soriano | 87 |
| #Name | W/L | % | $ |
|---|---|---|---|
| 1 Chris Guccione | 8-1 | 88.9 | 682 |
| 2 Gabe Morales | 7-2 | 77.8 | 570 |
| 3 Brennan Miller | 7-3 | 70.0 | 563 |
| 4 Ben May | 6-2 | 75.0 | 474 |
| 5 Lance Barksdale | 6-2 | 75.0 | 463 |
| #Name | O/U | % | AVG |
|---|---|---|---|
| 1 Lance Barksdale | 7-1 | 87.5 | 11.8 |
| 2 Erich Bacchus | 6-1 | 85.7 | 9.9 |
| 3 Dan Iassogna | 6-2 | 75.0 | 10.0 |
| 4 Laz Diaz | 6-4 | 60.0 | 8.3 |
| 5 Andy Fletcher | 5-0 | 100.0 | 16.0 |
| #Team | ERA | OBP | OPS | SO |
|---|---|---|---|---|
|
1
|
3.27 | .295 | .655 | 602 |
|
2
|
3.36 | .282 | .632 | 624 |
|
3
|
3.42 | .301 | .662 | 654 |
|
4
|
3.90 | .313 | .685 | 630 |
|
5
|
3.95 | .318 | .701 | 573 |
| #Team | W/L | $ | HM $ | AW $ |
|---|---|---|---|---|
|
1
|
45-24 | 1057 | 474 | 583 |
|
2
|
37-30 | 1044 | 330 | 714 |
|
3
|
35-35 | 1019 | -795 | 1814 |
|
4
|
42-25 | 689 | 278 | 411 |
|
5
|
35-34 | -78 | 383 | -461 |
| #Player | AVG |
|---|---|
| 1 Otto Lopez | .342 |
| 2 Jung Hoo Lee | .333 |
| 3 Luis Arraez | .326 |
| 4 Brandon Marsh | .322 |
| 5 Troy Johnston | .311 |
| #Player | HR |
|---|---|
| 1 Kyle Schwarber | 24 |
| 2 Matt Olson | 20 |
| 3 James Wood | 19 |
| 4 Hunter Goodman | 18 |
| 5 Brandon Lowe | 17 |
| #Player | RBI |
|---|---|
| 1 Andy Pages | 56 |
| 2 Jordan Walker | 55 |
| 3 Matt Olson | 51 |
| 4 CJ Abrams | 51 |
| 5 Liam Hicks | 50 |
| #Player | R |
|---|---|
| 1 James Wood | 63 |
| 2 Brice Turang | 53 |
| 3 Matt Olson | 50 |
| 4 Shohei Ohtani | 48 |
| 5 Bryan Reynolds | 45 |
| #Name | Team | W/L | $ |
|---|---|---|---|
| 1 Foster Griffin | WAS | 10-4 | 850 |
| 2 Tomoyuki Sugano | COL | 8-5 | 701 |
| 3 Matthew Liberatore | STL | 9-4 | 613 |
| 4 Kyle Harrison | MIL | 10-2 | 592 |
| 5 Eduardo Rodriguez | AZ | 10-4 | 584 |
| #Name | Team | O/U | % |
|---|---|---|---|
| 1 Braxton Ashcraft | PIT | 12-2 | 85.7 |
| 2 Brady Singer | CIN | 10-2 | 83.3 |
| 3 Cade Cavalli | WAS | 10-3 | 76.9 |
| 4 Mitch Keller | PIT | 10-4 | 71.4 |
| 5 Sandy Alcantara | MIA | 10-5 | 66.7 |
| #Player | Wins |
|---|---|
| 1 Jacob Misiorowski | 8 |
| 2 Chris Sale | 8 |
| 3 Cristopher Sanchez | 8 |
| 4 Michael Soroka | 8 |
| 5 Andre Pallante | 7 |
| #Player | ERA |
|---|---|
| 1 Jacob Misiorowski | 1.34 |
| 2 Cristopher Sanchez | 1.54 |
| 3 Chase Burns | 2.14 |
| 4 Chris Sale | 2.30 |
| 5 Eduardo Rodriguez | 2.55 |
| #Player | SV |
|---|---|
| 1 Mason Miller | 18 |
| 2 Riley O'Brien | 17 |
| 3 Jhoan Duran | 17 |
| 4 Paul Sewald | 16 |
| 5 Raisel Iglesias | 13 |
| #Player | SO |
|---|---|
| 1 Jacob Misiorowski | 131 |
| 2 Cristopher Sanchez | 113 |
| 3 Chris Sale | 92 |
| 4 Braxton Ashcraft | 90 |
| 5 Paul Skenes | 89 |
| #Name | W/L | % | $ |
|---|---|---|---|
| 1 Paul Clemons | 7-1 | 87.5 | 558 |
| 2 Jordan Baker | 7-2 | 77.8 | 588 |
| 3 Nestor Ceja | 7-3 | 70.0 | 698 |
| 4 Hunter Wendelstedt | 6-0 | 100.0 | 439 |
| 5 Chris Guccione | 6-1 | 85.7 | 571 |
| #Name | O/U | % | AVG |
|---|---|---|---|
| 1 Doug Eddings | 6-1 | 85.7 | 12.9 |
| 2 Vic Carapazza | 6-2 | 75.0 | 10.8 |
| 3 James Hoye | 6-4 | 60.0 | 8.6 |
| 4 Emil Jimenez | 5-0 | 100.0 | 14.8 |
| 5 Tom Hanahan | 5-1 | 83.3 | 10.7 |
MLB betting stats offer deep insights into how teams perform not just on the diamond β but in relation to oddsmakersβ 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.
Hereβs a breakdown of the key stats on this page and how to use them for more profitable baseball betting.
What it means: In MLB, ATS typically refers to runline betting β where a team must win by 2+ runs (β1.5) 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 theyβve consistently beaten the runline. Underdogs that win outright or keep games close often offer ATS value.
π Runline stats are essential when deciding whether to bet a favorite straight up or lay the β1.5.
π Use the latest MLB odds to compare runline prices and spot market inefficiencies.
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.
π Factor in ballpark effects, pitching matchups, and weather when betting totals.
π Learn more with our MLB betting guide.
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.
π Use SU stats alongside profit/loss metrics to gauge value beyond win totals.
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.
π Ballpark familiarity, travel, and lineup depth often shift performance drastically between venues.
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.
π Use this when betting series between rivals or when playoff races heat up late in the season.
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Baseball is a grind β but with the right stats and bonus strategy, your bets can go the distance.