
MLB Player Props & Best Bets Today for June 19: Turn the Pages
#Team | ERA | OBP | OPS | SO |
---|---|---|---|---|
1
|
3.00 | .309 | .655 | 646 |
2
|
3.19 | .287 | .634 | 583 |
3
|
3.26 | .303 | .660 | 630 |
4
|
3.34 | .297 | .666 | 625 |
5
|
3.40 | .301 | .678 | 606 |
#Team | W/L | $ | HM $ | AW $ |
---|---|---|---|---|
1
|
47-27 | 1052 | 744 | 308 |
2
|
36-37 | 1043 | -42 | 1085 |
3
|
41-33 | 764 | -25 | 789 |
4
|
45-28 | 663 | 240 | 423 |
5
|
43-31 | 629 | 898 | -269 |
#Player | AVG |
---|---|
1 Aaron Judge | .366 |
2 Jacob Wilson | .359 |
3 Will Smith | .333 |
4 Freddie Freeman | .332 |
5 Jonathan Aranda | .329 |
#Player | HR |
---|---|
1 Cal Raleigh | 27 |
2 Aaron Judge | 26 |
3 Shohei Ohtani | 25 |
4 Kyle Schwarber | 22 |
5 Eugenio Suarez | 21 |
#Player | RBI |
---|---|
1 Pete Alonso | 63 |
2 Seiya Suzuki | 61 |
3 Cal Raleigh | 60 |
4 Aaron Judge | 60 |
5 Eugenio Suarez | 58 |
#Player | R |
---|---|
1 Shohei Ohtani | 73 |
2 Aaron Judge | 65 |
3 Elly De La Cruz | 58 |
4 Corbin Carroll | 57 |
5 Fernando Tatis Jr. | 55 |
#Name | Team | W/L | $ |
---|---|---|---|
1 Jackson Jobe | DET | 9-1 | 826 |
2 Robbie Ray | SF | 12-3 | 779 |
3 Sonny Gray | STL | 11-3 | 642 |
4 Andrew Abbott | CIN | 9-3 | 624 |
5 Shane Baz | TB | 10-4 | 594 |
#Name | Team | O/U | % |
---|---|---|---|
1 Yusei Kikuchi | LAA | 11-4 | 73.3 |
2 Kevin Gausman | TOR | 10-4 | 71.4 |
3 Spencer Schwellenbach | ATL | 10-4 | 71.4 |
4 Luis Severino | ATH | 10-5 | 66.7 |
5 Taj Bradley | TB | 9-4 | 69.2 |
#Player | Wins |
---|---|
1 Max Fried | 9 |
2 Brandon Pfaadt | 8 |
3 Robbie Ray | 8 |
4 Framber Valdez | 8 |
5 Hunter Brown | 8 |
#Player | ERA |
---|---|
1 Paul Skenes | 1.78 |
2 Hunter Brown | 1.88 |
3 Max Fried | 1.89 |
4 Tarik Skubal | 1.99 |
5 Kris Bubic | 2.12 |
#Player | SV |
---|---|
1 Robert Suarez | 21 |
2 Carlos Estevez | 20 |
3 Kyle Finnegan | 18 |
4 Andres Munoz | 18 |
5 Josh Hader | 18 |
#Player | SO |
---|---|
1 Garrett Crochet | 125 |
2 MacKenzie Gore | 119 |
3 Chris Sale | 114 |
4 Tarik Skubal | 111 |
5 Zack Wheeler | 110 |
#Name | W/L | % | $ |
---|---|---|---|
1 Nestor Ceja | 12-3 | 80.0 | 826 |
2 Paul Clemons | 11-2 | 84.6 | 766 |
3 Stu Scheurwater | 11-3 | 78.6 | 416 |
4 Mark Wegner | 10-3 | 76.9 | 725 |
5 Tripp Gibson | 10-3 | 76.9 | 681 |
#Name | O/U | % | AVG |
---|---|---|---|
1 Tom Hanahan | 10-3 | 76.9 | 10.5 |
2 Andy Fletcher | 10-6 | 62.5 | 10.2 |
3 Lance Barrett | 9-3 | 75.0 | 10.5 |
4 Clint Vondrak | 9-5 | 64.3 | 11.9 |
5 Chris Conroy | 9-5 | 64.3 | 10.5 |
#Team | ERA | OBP | OPS | SO |
---|---|---|---|---|
1
|
3.19 | .287 | .634 | 583 |
2
|
3.34 | .297 | .666 | 625 |
3
|
3.40 | .301 | .678 | 606 |
4
|
3.42 | .290 | .652 | 723 |
5
|
3.49 | .298 | .689 | 596 |
#Team | W/L | $ | HM $ | AW $ |
---|---|---|---|---|
1
|
48-27 | 1081 | 773 | 308 |
2
|
36-38 | 943 | -42 | 985 |
3
|
41-33 | 764 | -25 | 789 |
4
|
43-31 | 629 | 898 | -269 |
5
|
40-33 | 598 | 674 | -76 |
#Player | AVG |
---|---|
1 Aaron Judge | .366 |
2 Jacob Wilson | .359 |
3 Jonathan Aranda | .329 |
4 Jeremy Pena | .321 |
5 Jose Ramirez | .319 |
#Player | HR |
---|---|
1 Cal Raleigh | 27 |
2 Aaron Judge | 26 |
3 Taylor Ward | 18 |
4 Junior Caminero | 17 |
5 Spencer Torkelson | 16 |
#Player | RBI |
---|---|
1 Cal Raleigh | 60 |
2 Aaron Judge | 60 |
3 Riley Greene | 51 |
4 Taylor Ward | 49 |
5 Junior Caminero | 48 |
#Player | R |
---|---|
1 Aaron Judge | 65 |
2 Cal Raleigh | 47 |
3 Brent Rooker | 46 |
4 Brandon Lowe | 45 |
5 Julio Rodriguez | 44 |
#Name | Team | W/L | $ |
---|---|---|---|
1 Jackson Jobe | DET | 9-1 | 826 |
2 Shane Baz | TB | 10-4 | 594 |
3 Ben Lively | CLE | 7-2 | 574 |
4 Colton Gordon | HOU | 5-1 | 421 |
5 Hunter Dobbins | BOS | 6-3 | 387 |
#Name | Team | O/U | % |
---|---|---|---|
1 Yusei Kikuchi | LAA | 11-4 | 73.3 |
2 Kevin Gausman | TOR | 10-4 | 71.4 |
3 Luis Severino | ATH | 10-5 | 66.7 |
4 Taj Bradley | TB | 9-4 | 69.2 |
5 Gavin Williams | CLE | 9-4 | 69.2 |
#Player | Wins |
---|---|
1 Max Fried | 9 |
2 Framber Valdez | 8 |
3 Hunter Brown | 8 |
4 Carlos Rodon | 8 |
5 Chris Bassitt | 7 |
#Player | ERA |
---|---|
1 Hunter Brown | 1.88 |
2 Max Fried | 1.89 |
3 Tarik Skubal | 1.99 |
4 Kris Bubic | 2.12 |
5 Jacob deGrom | 2.19 |
#Player | SV |
---|---|
1 Carlos Estevez | 20 |
2 Andres Munoz | 18 |
3 Josh Hader | 18 |
4 Jeff Hoffman | 17 |
5 Emmanuel Clase | 16 |
#Player | SO |
---|---|
1 Garrett Crochet | 125 |
2 Tarik Skubal | 111 |
3 Carlos Rodon | 107 |
4 Hunter Brown | 105 |
5 Framber Valdez | 99 |
#Name | W/L | % | $ |
---|---|---|---|
1 Nestor Ceja | 9-0 | 100.0 | 818 |
2 Paul Clemons | 8-1 | 88.9 | 748 |
3 Doug Eddings | 7-2 | 77.8 | 585 |
4 Marvin Hudson | 7-2 | 77.8 | 509 |
5 Quinn Wolcott | 7-3 | 70.0 | 574 |
#Name | O/U | % | AVG |
---|---|---|---|
1 Edwin Moscoso | 6-1 | 85.7 | 10.1 |
2 Lance Barksdale | 6-2 | 75.0 | 11.2 |
3 Mike Muchlinski | 6-3 | 66.7 | 10.2 |
4 Jansen Visconti | 6-3 | 66.7 | 9.7 |
5 Nestor Ceja | 6-3 | 66.7 | 9.2 |
#Team | ERA | OBP | OPS | SO |
---|---|---|---|---|
1
|
3.00 | .309 | .655 | 646 |
2
|
3.26 | .303 | .660 | 630 |
3
|
3.56 | .305 | .690 | 566 |
4
|
3.61 | .304 | .672 | 639 |
5
|
3.70 | .306 | .693 | 656 |
#Team | W/L | $ | HM $ | AW $ |
---|---|---|---|---|
1
|
45-28 | 663 | 240 | 423 |
2
|
38-35 | 361 | 731 | -370 |
3
|
39-36 | 357 | 39 | 318 |
4
|
45-29 | 311 | 711 | -400 |
5
|
41-33 | 278 | 353 | -75 |
#Player | AVG |
---|---|
1 Will Smith | .333 |
2 Freddie Freeman | .332 |
3 Brendan Donovan | .323 |
4 Manny Machado | .312 |
5 Josh Naylor | .305 |
#Player | HR |
---|---|
1 Shohei Ohtani | 25 |
2 Kyle Schwarber | 22 |
3 Eugenio Suarez | 21 |
4 Corbin Carroll | 20 |
5 James Wood | 20 |
#Player | RBI |
---|---|
1 Pete Alonso | 63 |
2 Seiya Suzuki | 61 |
3 Eugenio Suarez | 58 |
4 Pete Crow-Armstrong | 58 |
5 James Wood | 56 |
#Player | R |
---|---|
1 Shohei Ohtani | 73 |
2 Elly De La Cruz | 58 |
3 Corbin Carroll | 57 |
4 Fernando Tatis Jr. | 55 |
5 Juan Soto | 52 |
#Name | Team | W/L | $ |
---|---|---|---|
1 Robbie Ray | SF | 12-3 | 779 |
2 Sonny Gray | STL | 11-3 | 642 |
3 Andrew Abbott | CIN | 9-3 | 624 |
4 Cal Quantrill | MIA | 7-7 | 575 |
5 Griffin Canning | NYM | 10-4 | 523 |
#Name | Team | O/U | % |
---|---|---|---|
1 Spencer Schwellenbach | ATL | 10-4 | 71.4 |
2 Sonny Gray | STL | 9-4 | 69.2 |
3 Tylor Megill | NYM | 9-5 | 64.3 |
4 German Marquez | COL | 9-6 | 60.0 |
5 Jake Irvin | WAS | 9-6 | 60.0 |
#Player | Wins |
---|---|
1 Brandon Pfaadt | 8 |
2 Robbie Ray | 8 |
3 Nick Pivetta | 7 |
4 Clay Holmes | 7 |
5 Zack Wheeler | 7 |
#Player | ERA |
---|---|
1 Paul Skenes | 1.78 |
2 Chris Sale | 2.52 |
3 Logan Webb | 2.58 |
4 David Peterson | 2.60 |
5 Freddy Peralta | 2.60 |
#Player | SV |
---|---|
1 Robert Suarez | 21 |
2 Kyle Finnegan | 18 |
3 Emilio Pagan | 17 |
4 Edwin Diaz | 15 |
5 Trevor Megill | 15 |
#Player | SO |
---|---|
1 MacKenzie Gore | 119 |
2 Chris Sale | 114 |
3 Zack Wheeler | 110 |
4 Logan Webb | 105 |
5 Dylan Cease | 105 |
#Name | W/L | % | $ |
---|---|---|---|
1 Stu Scheurwater | 9-1 | 90.0 | 577 |
2 Charlie Ramos | 8-2 | 80.0 | 628 |
3 John Tumpane | 8-2 | 80.0 | 570 |
4 Bill Miller | 6-2 | 75.0 | 480 |
5 Edwin Moscoso | 6-2 | 75.0 | 373 |
#Name | O/U | % | AVG |
---|---|---|---|
1 Clint Vondrak | 7-4 | 63.6 | 12.3 |
2 Bill Miller | 6-2 | 75.0 | 10.8 |
3 Vic Carapazza | 6-3 | 66.7 | 10.7 |
4 Tom Hanahan | 6-3 | 66.7 | 10.0 |
5 Dan Bellino | 6-3 | 66.7 | 9.4 |
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.
Betting on baseball becomes more rewarding when you pair your insights with the best promo codes. Bonuses can help smooth out cold streaks and capitalize on your winning reads.
βΎ Start with the Best MLB Betting Sites to find top sportsbooks and features.
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Baseball is a grind β but with the right stats and bonus strategy, your bets can go the distance.