Mets vs Pirates Injury Report – Friday, August 07, 2026

New York Mets logo

New York Mets

@
Pittsburgh Pirates logo

Pittsburgh Pirates

+125O/U: 8.5
(+100/-120)
-145

New York Mets Insights

  • Bo Bichette – Over/Under Hits
    When it comes to his batting average ability, Bo Bichette is projected as the 7th-best hitter in the game by the leading projection system (THE BAT X).
    Explain: THE BAT X is a highly sophisticated projection system that accounts for a multitude of factors and regularly tests among the most accurate systems available. Batting average is the most common measure of a player’s ability to generate hits.
  • New York Mets – 2H Moneyline
    According to the leading projection system (THE BAT), the New York Mets’ bullpen ranks as the 10th-worst among all the teams in the game.
    Explain: Most bettors only consider the starting pitcher, but a weak bullpen sneakily creates an easier matchup for the opposing offense and boosts a game’s runs.

Pittsburgh Pirates Insights

  • Carmen Mlodzinski – Over/Under 12.5 Pitching Outs (-105/-125)
    The leading projection system (THE BAT X) expects Carmen Mlodzinski to be on a bit of a short leash today, projecting a maximum of 81 pitches.
    Explain: A pitcher who is on a pitch count is likely to be pulled from the game earlier, record fewer outs, and generate fewer strikeouts.
  • Jake Mangum – Over/Under 1.5 Hits (+170/-225)
    Jake Mangum is projected to bat 1st in the batting order in this matchup, which would be an upgrade from his 59% rate of hitting in the bottom-half of the batting order this season.
    Explain: The higher in the order a player bats, the more plate appearances he will get and the more opportunities he will get to hit the Over for every market. A player who hits higher in the order than he normally does may provide extra value opportunity since the market may be based on him hitting lower.
  • Henry Davis – Over/Under Total Bases
    In today’s matchup, Henry Davis is at a disadvantage facing the league’s 10th-deepest LF fences given that he hits his flyballs to the pull field at a 39.1% rate (96th percentile).
    Explain: This player’s skill set does not match up particularly well with the park he’s in today, which may lead to worse-than-usual performance.