1 NY Mets player who will, 1 who better, 1 who better not play more than projected

Some of these innings projections feel a little off.
San Diego Padres v New York Mets
San Diego Padres v New York Mets | Jim McIsaac/GettyImages
1 of 3

In the slower parts of the offseason, checking in on projections for the coming year helps pass the time. FanGraphs is one of the best places to figure out who’ll thrive and who’ll nosedive. Even they aren’t completely right all of the time. Their New York Mets player projections for 2026 are definitely curious, including the amount of playing time some are expected to have.

Accounting for everything, such as injuries, always throws a wrench on anyone’s preseason projections and predictions. However, even if we don’t account for IL stints, we can come to a few conclusions about several players.

One of those conclusions is that one player listed will play more, another better, and a third better not.

Tobias Myers will play more than projected

FanGraphs has Tobias Myers pitching in 45 games, making 3 starts. I don’t think those numbers are too far off. It’s the innings at a modest 59.2 that feel way off.

Last year with the Milwaukee Brewers, Myers started 6 games and had another 16 relief appearances. He reached 50.2 innings with about half as many games and only 3 additional starts than what FanGraphs projects.

Myers should be good for 3 innings per start and another 2 for every relief appearance at the bare minimum. That comes out to 93 innings, 9 from three starts and another 84 from his 42 relief appearances.

There are a lot of ways for the Mets to utilize Myers. He should be an early-season roster replacement in case of injury. He should also be a guy who carries the team through a game when a starter exits early. The Mets might even think of him as an option in relief the same way they did with Max Kranick and Huascar Brazoban early in 2025. If Myers pitches just under 60 innings and has an ERA of 4.01 he’ll be a disappointment for the Mets.

Loading recommendations... Please wait while we load personalized content recommendations