MatchWiz

Best MLB fantasy points matchupsMonday, July 27, 2026

Every starting pitcher on the Monday, July 27, 2026 slate — ranked by projected DraftKings fantasy points. Tap any card for the full breakdown.

PROJ23 on a projected lineup — updates ~2h before first pitch
#Pitcher · MatchupScore

Projected DK Points22.7 pts

Innings6
Strikeouts8.3
Win probability43%
Earned runs2
Hits / Walks4.5 / 1.5
Zack Wheeler's full player page →

Projected DK Points17.3 pts

Innings5.7
Strikeouts5.8
Win probability40%
Earned runs2.2
Hits / Walks3.9 / 1.7
Max Fried's full player page →

Projected DK Points16.6 pts

Innings5.3
Strikeouts6.6
Win probability36%
Earned runs2.5
Hits / Walks4.9 / 1.4
Payton Tolle's full player page →

Projected DK Points16.2 pts

Innings5.9
Strikeouts5.8
Win probability39%
Earned runs2.4
Hits / Walks4.9 / 2.5
Kyle Bradish's full player page →

Projected DK Points16.0 pts

Innings5.4
Strikeouts5.9
Win probability39%
Earned runs2.1
Hits / Walks4.5 / 2.6
Chase Burns's full player page →

Projected DK Points16.0 pts

Innings5.8
Strikeouts5.9
Win probability38%
Earned runs2.6
Hits / Walks5.7 / 1.4
George Kirby's full player page →

Projected DK Points14.0 pts

Innings4.4
Strikeouts5.6
Win probability34%
Earned runs2
Hits / Walks3.2 / 2.7
Tatsuya Imai's full player page →

Projected DK Points13.9 pts

Innings5.7
Strikeouts4.7
Win probability38%
Earned runs2.5
Hits / Walks5.1 / 1.5
Zac Thornton's full player page →

Projected DK Points13.6 pts

Innings5.3
Strikeouts5.1
Win probability37%
Earned runs2.4
Hits / Walks4.4 / 2.9
Walbert Ureña's full player page →

Projected DK Points13.3 pts

Innings4.1
Strikeouts5
Win probability35%
Earned runs1.8
Hits / Walks3.5 / 1.4
Keider Montero's full player page →

Projected DK Points12.5 pts

Innings5.6
Strikeouts4.6
Win probability36%
Earned runs2.7
Hits / Walks5.5 / 1.9
Merrill Kelly's full player page →

Projected DK Points12.2 pts

Innings4.9
Strikeouts4
Win probability37%
Earned runs2
Hits / Walks4 / 1.7
Martín Pérez's full player page →

Projected DK Points11.9 pts

Innings5.2
Strikeouts4.6
Win probability34%
Earned runs2.7
Hits / Walks5.6 / 1.5
Slade Cecconi's full player page →

Projected DK Points11.7 pts

Innings4.7
Strikeouts4.7
Win probability33%
Earned runs2.5
Hits / Walks4.2 / 2.2
Brandon Sproat's full player page →

Projected DK Points11.7 pts

Innings5
Strikeouts4.9
Win probability32%
Earned runs2.9
Hits / Walks4.8 / 2.1
Kumar Rocker's full player page →

Projected DK Points11.3 pts

Innings4.4
Strikeouts5.1
Win probability30%
Earned runs2.8
Hits / Walks4.6 / 1.4
Jack Perkins's full player page →

Projected DK Points10.8 pts

Innings5.1
Strikeouts4
Win probability35%
Earned runs2.5
Hits / Walks5 / 2.3
Tyler Mahle's full player page →

Projected DK Points10.7 pts

Innings5
Strikeouts4.4
Win probability33%
Earned runs2.8
Hits / Walks5 / 2.1
Mitch Keller's full player page →

Projected DK Points10.3 pts

Innings4.2
Strikeouts4.3
Win probability32%
Earned runs2.2
Hits / Walks4.4 / 2.4
Andrew Alvarez's full player page →

Projected DK Points9.9 pts

Innings4.5
Strikeouts4.2
Win probability32%
Earned runs2.5
Hits / Walks4.7 / 2.3
Noah Schultz's full player page →

Projected DK Points9.8 pts

Innings4.6
Strikeouts3.9
Win probability33%
Earned runs2.4
Hits / Walks4.8 / 2
Tyler Phillips's full player page →

Projected DK Points9.7 pts

Innings4.5
Strikeouts3.3
Win probability35%
Earned runs2
Hits / Walks4.5 / 2
David Peterson's full player page →

Projected DK Points8.3 pts

Innings3.9
Strikeouts3.4
Win probability29%
Earned runs2.5
Hits / Walks3.5 / 1.1
Max Scherzer's full player page →

What the fantasy points board is

The Fantasy Points board projects a starter's projected DraftKings fantasy points. 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 strikeout, outs, earned-run, hits and walks projections, composed via the DK pitcher formula.

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?

Composed from the tuned pitcher boards, so it inherits their sharpness. A DFS tool, not a book market.

How to use it

The pitcher side of the DFS build — sort by value, then lock a top arm in the optimizer.

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