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Outs Recorded Board · Today

Best MLB outs recorded matchupsMonday, July 6, 2026

Every starting pitcher on the Monday, July 6, 2026 slate, scored — ranked by how deep they're projected to go (outs / IP). His recent workload and how far into games he's been pitching. Tap any card for the full breakdown.

PROJSome lineups aren't official yet — 16 starts use an opposing lineup projected from that team's last game. The strikeout projection updates automatically once the official lineup posts, ~2 hours before first pitch.
#Pitcher · MatchupScore

Projected Workload19.2 outs

Innings (IP)6.4
From recent starts8

How deep he's projected to go, from his recent outs per start (shrunk toward the league starter baseline).

Cristopher Sánchez's full player page →

Projected Workload16.3 outs

Innings (IP)5.4
From recent starts8

How deep he's projected to go, from his recent outs per start (shrunk toward the league starter baseline).

Cam Schlittler's full player page →

Projected Workload16.2 outs

Innings (IP)5.4
From recent starts8

How deep he's projected to go, from his recent outs per start (shrunk toward the league starter baseline).

Eric Lauer's full player page →

Projected Workload16.2 outs

Innings (IP)5.4
From recent starts8

How deep he's projected to go, from his recent outs per start (shrunk toward the league starter baseline).

Kevin Gausman's full player page →

Projected Workload16.1 outs

Innings (IP)5.4
From recent starts8

How deep he's projected to go, from his recent outs per start (shrunk toward the league starter baseline).

Kyle Freeland's full player page →

Projected Workload15.9 outs

Innings (IP)5.3
From recent starts8

How deep he's projected to go, from his recent outs per start (shrunk toward the league starter baseline).

Miles Mikolas's full player page →

Projected Workload15.7 outs

Innings (IP)5.2
From recent starts8

How deep he's projected to go, from his recent outs per start (shrunk toward the league starter baseline).

Noah Cameron's full player page →

Projected Workload15.6 outs

Innings (IP)5.2
From recent starts8

How deep he's projected to go, from his recent outs per start (shrunk toward the league starter baseline).

Dustin May's full player page →

Projected Workload15.3 outs

Innings (IP)5.1
From recent starts8

How deep he's projected to go, from his recent outs per start (shrunk toward the league starter baseline).

Freddy Peralta's full player page →

Projected Workload15.2 outs

Innings (IP)5.1
From recent starts8

How deep he's projected to go, from his recent outs per start (shrunk toward the league starter baseline).

Walker Buehler's full player page →

Projected Workload15.0 outs

Innings (IP)5
From recent starts8

How deep he's projected to go, from his recent outs per start (shrunk toward the league starter baseline).

Mike Burrows's full player page →

Projected Workload15.0 outs

Innings (IP)5
From recent starts8

How deep he's projected to go, from his recent outs per start (shrunk toward the league starter baseline).

Landen Roupp's full player page →

Projected Workload14.0 outs

Innings (IP)4.7
From recent starts8

How deep he's projected to go, from his recent outs per start (shrunk toward the league starter baseline).

Griffin Jax's full player page →

Projected Workload13.4 outs

Innings (IP)4.5
From recent starts8

How deep he's projected to go, from his recent outs per start (shrunk toward the league starter baseline).

Shane Drohan's full player page →

Projected Workload7.4 outs

Innings (IP)2.5
From recent starts8

How deep he's projected to go, from his recent outs per start (shrunk toward the league starter baseline).

Reynaldo López's full player page →

Projected Workload7.1 outs

Innings (IP)2.4
From recent starts8

How deep he's projected to go, from his recent outs per start (shrunk toward the league starter baseline).

Brandon Pfaadt's full player page →

What the outs recorded board is

The Outs Recorded board projects how deep a starter goes — his projected outs. One statistical model scores every matchup on the slate the same way — a star and a backup judged on the matchup in front of them, not their name — and every number is graded against the real box score once the games go final.

How the model gets its number

It isn't a gut call or a name game. The projection is built from a few things:

  • His workload and recent pitch counts.
  • The matchup difficulty.
  • The game script.

Those pieces combine into one number, and the model re-tunes itself weekly against how its past calls actually landed.

Is there a betting edge here?

Transparency board, and a key input to the team run model (how many innings the starter covers vs the bullpen).

How to use it

Useful for DFS (a starter who goes deep banks more) and as context; not a standalone edge.

Everything here is a research signal from the model, graded in public — not betting advice, and no outcome is guaranteed.