The Mets are hitting like a team that should have a .311 xwOBA. They are being credited with a .285 wOBA. That 25-point gap is the kind of Statcast discrepancy that makes you check if something is broken. It is not broken. It is just Queens in 2025.
Through 30 games, the Mets sit at 10-20, dead last in CURSD's Luck Index at -28, the most cursed team in Major League Baseball. And while a significant portion of that record is earned, a genuinely strange amount of it is not.
A caveat before we go further: 30 games is roughly 18.5% of the MLB season. Sample sizes are small. Luck metrics are noisy this early. Everything that follows comes with that asterisk. But the convergence of multiple indicators pointing the same direction is what makes this worth examining now rather than in August.
The Statcast Gap That Won't Close
The Mets' bats have been bad. A .225 batting average is not going to win anyone a pennant. But Statcast expected metrics say they should be hitting .245, a 20-point gap that represents a meaningful amount of contact quality being swallowed by defensive positioning and sequencing. Their slugging tells a similar story: .343 actual versus .398 expected, a 55-point chasm suggesting the Mets are making harder contact than their box scores reflect.
None of this makes them a good offense. An xwOBA of .311 is still below league average. They are not a sleeping giant. They are a mediocre offense being taxed at a rate reserved for bad ones.
The Pitching Staff Is Better Than 4.16
On the mound, the Mets carry a 4.16 ERA against an xERA of 3.79. That 0.37 gap means opposing hitters are getting slightly better outcomes than the quality of contact would predict. A 3.79 xERA is respectable. Not dominant, but the kind of number that keeps you in ballgames rather than chasing them.
The run differential tells the composite story: minus-34 through 30 games. That is legitimately bad. But a Pythagorean win percentage of .371 suggests a team that should be closer to 11 wins than 10. The Mets have underperformed even their mediocre underlying production.
Close Games as a Torture Device
The Mets are 2-6 in one-run games and 2-3 in extra innings. Combined, that is a 4-9 record in contests decided by the thinnest margins.
One-run records are famously volatile. Over a full 162-game season, most teams regress toward .500 in these situations. But right now, the Mets are converting close games into losses at a .250 clip. If they had simply split those one-run games 4-4, they would be 12-18 instead of 10-20. Still bad. But a different kind of bad.
22 Injuries and Counting
The Mets have logged an injury burden score of 22 through 30 games, a number that compounds every other problem. Depth gets tested, lineups get scrambled, and the roster that takes the field each night is not the one the front office designed. Injuries are not luck in the cosmic sense, but they are variance, and they are variance the Mets have absorbed in volume.
What Regression Actually Looks Like
Let's be honest about what the numbers are and are not saying. The Mets are not a 90-win team trapped in a 54-win pace. Their underlying metrics describe a team that is below average on both sides of the ball. Regression to expected performance does not make them good. It makes them less historically awful.
If their wOBA climbs to match their xwOBA, if their ERA drifts down toward 3.79, if one-run games start splitting closer to even, you are looking at something like a 70-win team instead of a 54-win projection. That is the difference between a rebuilding season and an embarrassment.
The Mets are not secretly elite. They are genuinely unlucky and also genuinely flawed, which is somehow the most Mets outcome available.