Toronto Blue Jays vs New York Yankees Betting Odds & Game Analysis | June 17
The New York Yankees visit the Toronto Blue Jays at Rogers Centre, taking the field at 7:07pm ET on Friday June 17th, 7:07pm ET. The Toronto Blue Jays are 1-run underdogs in the game, and the Over/Under is set at 9 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 Blue Jays’ last 10 home games have gone OVER the total runs line.
- The Blue Jays have won 22 of their last 23 games at Rogers Centre following a home loss.
New York Yankees Stats
| Season Stats | |
|---|---|
| Team Batting AVG | .246 |
| Team OBP | .324 |
| AVG Runs Scored | 5.0 |
| Team ERA | 2.78 |
| Team WHIP | 1.05 |
| Starters ERA | 2.75 |
| Starters WHIP | 1.02 |
Key Players for New York
- Jameson Taillon: 2.93 ERA, 6.91 K/9, 1.05 WHIP
- Clayton Holmes: 0.29 ERA, 9.39 K/9, 0.68 WHIP
- James Weber: 2.46 ERA, 2.46 K/9, 0.55 WHIP
- Aaron Judge: .310 Batting Avg, .386 OBP, .677 SLG, 1.063 OPS, 53 Runs
- Gleyber Torres: .249 Batting Avg, .297 OBP, .487 SLG, .784 OPS, 24 Runs
- Giancarlo Stanton: .264 Batting Avg, .341 OBP, .505 SLG, .846 OPS, 21 Runs
- Isiah Kiner-Falefa: .270 Batting Avg, .320 OBP, .320 SLG, .640 OPS, 32 Runs
- Aaron Hicks: .224 Batting Avg, .344 OBP, .267 SLG, .611 OPS, 21 Runs
- Joshua Donaldson: .232 Batting Avg, .330 OBP, .387 SLG, .717 OPS, 19 Runs
- Kyle Higashioka: .177 Batting Avg, .229 OBP, .313 SLG, .542 OPS, 12 Runs
- Joseph Gallo: .184 Batting Avg, .287 OBP, .354 SLG, .641 OPS, 20 Runs
- Anthony Rizzo: .223 Batting Avg, .321 OBP, .485 SLG, .806 OPS, 37 Runs
Toronto Blue Jays Stats
| Season Stats | |
|---|---|
| Team Batting AVG | .258 |
| Team OBP | .325 |
| AVG Runs Scored | 4.6 |
| Team ERA | 3.69 |
| Team WHIP | 1.19 |
| Starters ERA | 3.57 |
| Starters WHIP | 1.18 |
Key Players for Toronto
- Jordan Romano: 2.70 ERA, 10.41 K/9, 1.11 WHIP
- Timothy Mayza: 1.80 ERA, 7.80 K/9, 0.87 WHIP
- Jeremy Beasley: 6.43 ERA, 12.86 K/9, 1.14 WHIP
- Bo Bichette: .260 Batting Avg, .305 OBP, .430 SLG, .735 OPS, 35 Runs
- Lourdes Gurriel Jr.: .277 Batting Avg, .332 OBP, .393 SLG, .725 OPS, 21 Runs
- Raimel Tapia: .251 Batting Avg, .279 OBP, .343 SLG, .622 OPS, 21 Runs
- Teoscar Hernández: .252 Batting Avg, .307 OBP, .424 SLG, .731 OPS, 17 Runs
- George Springer: .271 Batting Avg, .340 OBP, .505 SLG, .845 OPS, 39 Runs
- Alejandro Kirk: .318 Batting Avg, .398 OBP, .465 SLG, .863 OPS, 26 Runs
- Santiago Espinal: .292 Batting Avg, .344 OBP, .443 SLG, .787 OPS, 25 Runs
- Vladimir Guerrero Jr.: .270 Batting Avg, .353 OBP, .511 SLG, .864 OPS, 34 Runs
- Matt Chapman: .223 Batting Avg, .307 OBP, .401 SLG, .708 OPS, 30 Runs
In the last 5 matchups between the Blue Jays and Yankees, the Blue Jays won once and the Yankees won four times. Their most recent matchup on May 11, 2022 ended 5-3 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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About the author
He has been involved in the sports betting industry for years as a producer and handicapper specifically focusing on the EPL and other football league...
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