Mets Calling up a Pitching Phenom Who’s Dominated Every Level, but It’s Not Who Fans Expected
Jonah Tong, a 22-year-old right-hander with a 1.43 ERA in 113 2/3 minor league innings, debuts to strengthen Mets' rotation during a 16-game stretch without rest.
- The Mets are promoting top pitching prospect Jonah Tong to make his MLB debut Friday against the Miami Marlins, Manager Carlos Mendoza announced Tuesday to bolster the staff for the stretch run.
- Placed on the 60-day injured list Monday, starter Frankie Montas' absence and a 16 games without a day off stretch forced the Mets to seek a sixth starter, with Mendoza saying Tong earned the opportunity.
- He has struck out 377 batters in 247 2/3 career innings, and after a recent promotion to Triple-A Syracuse, Jonah Tong threw 11 2/3 scoreless innings, with Manager Carlos Mendoza saying, `I think it's all about dominating the minors`.
- Depending on Tong's performance, he could stick with the New York Mets' major-league club down the stretch, but Mendoza emphasized taking it one start at a time without longer commitments.
- Tong follows Nolan McLean as another top prospect called up earlier this month after only two Triple-A starts, with New York 2 1/2 games ahead for the final NL wild card.
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New York Mets calling up Canadian pitching prospect Jonah Tong to start Friday
The New York Mets are calling up another top pitching prospect in the middle of a pennant race. Canadian Jonah Tong, a 22-year-old right-hander, has overpowered minor league hitters, striking out 377 while compiling a 2.54 ERA in 247 2/3 career innings.
·Canada
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+18 Reposted by 18 other sources
Mets calling up touted pitching prospect Jonah Tong to start Friday against Miami
The New York Mets are calling up another top pitching prospect in the middle of a pennant race. Jonah Tong will be promoted to start Friday night against the Miami Marlins after making only two starts at Triple-A Syracuse.
·United States
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Total News Sources35
Leaning Left12Leaning Right4Center10Last UpdatedBias Distribution46% Left
Bias Distribution
- 46% of the sources lean Left
46% Left
L 46%
C 38%
15%
Factuality
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