MatchWiz Plays Optimizer
Outs Recorded Board · Today

Best MLB outs recorded matchupsThursday, July 9, 2026

Every starting pitcher on the Thursday, July 9, 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 — 24 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 Workload18.8 outs

Innings (IP)6.3
From recent starts8

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

Michael Wacha's full player page →

Projected Workload18.6 outs

Innings (IP)6.2
From recent starts8

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

Nathan Eovaldi's full player page →

Projected Workload18.2 outs

Innings (IP)6.1
From recent starts8

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

Reid Detmers's full player page →

Projected Workload18.0 outs

Innings (IP)6
From recent starts8

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

Drew Rasmussen's full player page →

Projected Workload17.6 outs

Innings (IP)5.9
From recent starts8

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

Jesús Luzardo's full player page →

Projected Workload17.4 outs

Innings (IP)5.8
From recent starts8

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

Bryce Miller's full player page →

Projected Workload17.3 outs

Innings (IP)5.8
From recent starts8

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

Bailey Ober's full player page →

Projected Workload17.1 outs

Innings (IP)5.7
From recent starts8

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

Trevor Rogers's full player page →

Projected Workload17.0 outs

Innings (IP)5.7
From recent starts8

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

Andre Pallante's full player page →

Projected Workload16.9 outs

Innings (IP)5.6
From recent starts8

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

Framber Valdez's full player page →

Projected Workload16.9 outs

Innings (IP)5.6
From recent starts8

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

Merrill Kelly's full player page →

Projected Workload16.7 outs

Innings (IP)5.6
From recent starts8

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

Gavin Williams'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).

Bryce Elder'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).

Janson Junk'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).

Mitch Keller'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).

Ryan Feltner's full player page →

Projected Workload15.1 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).

Brady Singer's full player page →

Projected Workload15.0 outs

Innings (IP)5
From recent starts0

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

Patrick Sandoval's full player page →

Projected Workload14.2 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).

Anthony Kay'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).

Sean Manaea's full player page →

Projected Workload14.0 outs

Innings (IP)4.7
From recent starts5

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

Logan Henderson's full player page →

Projected Workload13.3 outs

Innings (IP)4.4
From recent starts8

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

Griffin Canning's full player page →

Projected Workload13.0 outs

Innings (IP)4.3
From recent starts8

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

David Peterson's full player page →

Projected Workload11.6 outs

Innings (IP)3.9
From recent starts8

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

Jack Perkins'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.