Toronto Blue Jays vs New York Yankees Betting Odds & Game Analysis | May 3
The New York Yankees visit the Toronto Blue Jays at Rogers Centre, taking the field at 7:07pm ET on Tuesday May 3rd, 7:07pm ET. The New York Yankees are 1.5-run underdogs in the game, and the Over/Under is set at 7.5 runs.
Welcome to the BestOdds betting breakdown where we identify performance trends in order to analyze teams’ chances in the upcoming game.
Today, we are looking at the Major League Baseball game between the New York Yankees and Toronto Blue Jays.
Toronto and New York Betting Info
- Each of the Yankees’ last four road games against AL East opponents have gone UNDER the total runs line.
- The Yankees have won each of their last 10 games.
New York Yankees Stats
Season Stats | |
---|---|
Team Batting AVG | .248 |
Team OBP | .323 |
AVG Runs Scored | 4.7 |
Team ERA | 2.69 |
Team WHIP | 1.17 |
Starters ERA | 2.87 |
Starters WHIP | 1.12 |
Key Players for New York
- Albertin Chapman: 0.00 ERA, 10.61 K/9, 1.07 WHIP
- Clayton Holmes: 0.75 ERA, 9.00 K/9, 0.92 WHIP
- Gerrit Cole: 3.00 ERA, 10.13 K/9, 1.17 WHIP
- Aaron Judge: .298 Batting Avg, .359 OBP, .643 SLG, 1.002 OPS, 16 Runs
- Gleyber Torres: .239 Batting Avg, .274 OBP, .448 SLG, .722 OPS, 4 Runs
- Giancarlo Stanton: .267 Batting Avg, .293 OBP, .419 SLG, .712 OPS, 5 Runs
- Isiah Kiner-Falefa: .300 Batting Avg, .338 OBP, .386 SLG, .724 OPS, 14 Runs
- Aaron Hicks: .263 Batting Avg, .377 OBP, .316 SLG, .693 OPS, 8 Runs
- Joshua Donaldson: .211 Batting Avg, .341 OBP, .355 SLG, .696 OPS, 9 Runs
- Kyle Higashioka: .136 Batting Avg, .204 OBP, .182 SLG, .386 OPS, 5 Runs
- Joseph Gallo: .180 Batting Avg, .275 OBP, .295 SLG, .570 OPS, 5 Runs
- Anthony Rizzo: .256 Batting Avg, .378 OBP, .634 SLG, 1.012 OPS, 15 Runs
Toronto Blue Jays Stats
Season Stats | |
---|---|
Team Batting AVG | .245 |
Team OBP | .304 |
AVG Runs Scored | 3.9 |
Team ERA | 3.65 |
Team WHIP | 1.19 |
Starters ERA | 3.69 |
Starters WHIP | 1.25 |
Key Players for Toronto
- Yimi García: 4.82 ERA, 5.79 K/9, 1.18 WHIP
- Jordan Romano: 1.46 ERA, 10.22 K/9, 0.89 WHIP
- José Berríos: 4.13 ERA, 7.50 K/9, 1.58 WHIP
- Bo Bichette: .225 Batting Avg, .248 OBP, .343 SLG, .591 OPS, 11 Runs
- Lourdes Gurriel Jr.: .287 Batting Avg, .326 OBP, .425 SLG, .751 OPS, 12 Runs
- Raimel Tapia: .227 Batting Avg, .244 OBP, .307 SLG, .551 OPS, 9 Runs
- George Springer: .299 Batting Avg, .361 OBP, .563 SLG, .924 OPS, 17 Runs
- Zachary Collins: .256 Batting Avg, .304 OBP, .512 SLG, .816 OPS, 4 Runs
- Alejandro Kirk: .237 Batting Avg, .333 OBP, .237 SLG, .570 OPS, 1 Run
- Santiago Espinal: .250 Batting Avg, .310 OBP, .408 SLG, .718 OPS, 7 Runs
- Vladimir Guerrero Jr.: .277 Batting Avg, .347 OBP, .518 SLG, .865 OPS, 12 Runs
- Matt Chapman: .221 Batting Avg, .287 OBP, .407 SLG, .694 OPS, 7 Runs
The Blue Jays and Yankees have met five times this season, with the Blue Jays winning twice and the Yankees winning three times. Their most recent matchup on May 2, 2022 ended 3-2 with the New York Yankees taking the win.
MLB Computer Picks For Betting Previews
MLB computer picks are betting recommendations made by an AI computer algorithm with a final check by sports betting analyst.
The AI algorithm considers various data points to come up with its betting prediction. Betting trends, game venue, line-ups, weather, injury, news updates, and a wide range of stats are the factors taken into account when making MLB betting preview computer picks.
A professional sports bettor performs the final check.
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