MatchWiz

Best MLB fantasy points matchupsFriday, July 24, 2026

Every starting pitcher on the Friday, July 24, 2026 slate — ranked by projected DraftKings fantasy points. Tap any card for the full breakdown.

PROJ28 on a projected lineup — updates ~2h before first pitch
#Pitcher · MatchupScore

Projected DK Points21.1 pts

Innings5.7
Strikeouts7.4
Win probability42%
Earned runs1.8
Hits / Walks4.5 / 0.7

DraftKings scoring: IP ×2.25, K ×2, Win ×4, ER −2, H −0.6, BB −0.6 — summed from each projected component.

Tarik Skubal's full player page →

Projected DK Points19.3 pts

Innings5.4
Strikeouts7
Win probability40%
Earned runs1.9
Hits / Walks4.3 / 1.3

DraftKings scoring: IP ×2.25, K ×2, Win ×4, ER −2, H −0.6, BB −0.6 — summed from each projected component.

Jesús Luzardo's full player page →

Projected DK Points18.6 pts

Innings5.8
Strikeouts6.5
Win probability40%
Earned runs2.3
Hits / Walks4.6 / 1.2

DraftKings scoring: IP ×2.25, K ×2, Win ×4, ER −2, H −0.6, BB −0.6 — summed from each projected component.

Bryce Miller's full player page →

Projected DK Points16.0 pts

Innings6.6
Strikeouts5
Win probability41%
Earned runs2.7
Hits / Walks5.2 / 1.5

DraftKings scoring: IP ×2.25, K ×2, Win ×4, ER −2, H −0.6, BB −0.6 — summed from each projected component.

Logan Webb's full player page →

Projected DK Points15.1 pts

Innings4.5
Strikeouts6.1
Win probability34%
Earned runs2.2
Hits / Walks3.7 / 1.8

DraftKings scoring: IP ×2.25, K ×2, Win ×4, ER −2, H −0.6, BB −0.6 — summed from each projected component.

Jared Jones's full player page →

Projected DK Points14.8 pts

Innings5.3
Strikeouts5.4
Win probability37%
Earned runs2.3
Hits / Walks4.8 / 1.4

DraftKings scoring: IP ×2.25, K ×2, Win ×4, ER −2, H −0.6, BB −0.6 — summed from each projected component.

Matthew Boyd's full player page →

Projected DK Points14.4 pts

Innings5.5
Strikeouts5.5
Win probability37%
Earned runs2.6
Hits / Walks5 / 2.2

DraftKings scoring: IP ×2.25, K ×2, Win ×4, ER −2, H −0.6, BB −0.6 — summed from each projected component.

MacKenzie Gore's full player page →

Projected DK Points14.3 pts

Innings5.1
Strikeouts5.8
Win probability34%
Earned runs2.7
Hits / Walks4.8 / 1.3

DraftKings scoring: IP ×2.25, K ×2, Win ×4, ER −2, H −0.6, BB −0.6 — summed from each projected component.

Sean Manaea's full player page →

Projected DK Points13.8 pts

Innings5.5
Strikeouts5.3
Win probability36%
Earned runs2.7
Hits / Walks5.4 / 1.6

DraftKings scoring: IP ×2.25, K ×2, Win ×4, ER −2, H −0.6, BB −0.6 — summed from each projected component.

Shane Drohan's full player page →

Projected DK Points13.4 pts

Innings5.4
Strikeouts5.3
Win probability34%
Earned runs3
Hits / Walks4.1 / 2.4

DraftKings scoring: IP ×2.25, K ×2, Win ×4, ER −2, H −0.6, BB −0.6 — summed from each projected component.

Trey Yesavage's full player page →

Projected DK Points13.4 pts

Innings5.4
Strikeouts5.3
Win probability36%
Earned runs2.7
Hits / Walks5.3 / 2.6

DraftKings scoring: IP ×2.25, K ×2, Win ×4, ER −2, H −0.6, BB −0.6 — summed from each projected component.

Joey Cantillo's full player page →

Projected DK Points13.3 pts

Innings5.1
Strikeouts4.7
Win probability36%
Earned runs2.4
Hits / Walks3.7 / 2

DraftKings scoring: IP ×2.25, K ×2, Win ×4, ER −2, H −0.6, BB −0.6 — summed from each projected component.

Shane McClanahan's full player page →

Projected DK Points13.3 pts

Innings5.1
Strikeouts5.1
Win probability36%
Earned runs2.4
Hits / Walks4.9 / 2.2

DraftKings scoring: IP ×2.25, K ×2, Win ×4, ER −2, H −0.6, BB −0.6 — summed from each projected component.

Roki Sasaki's full player page →

Projected DK Points12.8 pts

Innings4.8
Strikeouts5.2
Win probability35%
Earned runs2.2
Hits / Walks5.6 / 1.9

DraftKings scoring: IP ×2.25, K ×2, Win ×4, ER −2, H −0.6, BB −0.6 — summed from each projected component.

Patrick Sandoval's full player page →

Projected DK Points12.6 pts

Innings4.4
Strikeouts5.4
Win probability33%
Earned runs2.3
Hits / Walks4.8 / 1.7

DraftKings scoring: IP ×2.25, K ×2, Win ×4, ER −2, H −0.6, BB −0.6 — summed from each projected component.

Will Warren's full player page →

Projected DK Points12.2 pts

Innings4.7
Strikeouts5.2
Win probability32%
Earned runs2.7
Hits / Walks4.6 / 1.8

DraftKings scoring: IP ×2.25, K ×2, Win ×4, ER −2, H −0.6, BB −0.6 — summed from each projected component.

Dustin May's full player page →

Projected DK Points11.8 pts

Innings4.5
Strikeouts4.7
Win probability33%
Earned runs2.3
Hits / Walks4.3 / 1.8

DraftKings scoring: IP ×2.25, K ×2, Win ×4, ER −2, H −0.6, BB −0.6 — summed from each projected component.

Grant Holmes's full player page →

Projected DK Points10.5 pts

Innings4.9
Strikeouts4.1
Win probability33%
Earned runs2.7
Hits / Walks5.1 / 1.4

DraftKings scoring: IP ×2.25, K ×2, Win ×4, ER −2, H −0.6, BB −0.6 — summed from each projected component.

Eduardo Rodriguez's full player page →

Projected DK Points10.4 pts

Innings5.4
Strikeouts4
Win probability34%
Earned runs2.9
Hits / Walks5.8 / 1.7

DraftKings scoring: IP ×2.25, K ×2, Win ×4, ER −2, H −0.6, BB −0.6 — summed from each projected component.

Tomoyuki Sugano's full player page →

Projected DK Points10.4 pts

Innings5
Strikeouts5.2
Win probability28%
Earned runs3.6
Hits / Walks4.2 / 3.4

DraftKings scoring: IP ×2.25, K ×2, Win ×4, ER −2, H −0.6, BB −0.6 — summed from each projected component.

Spencer Arrighetti's full player page →

Projected DK Points10.2 pts

Innings4.8
Strikeouts4.4
Win probability31%
Earned runs2.9
Hits / Walks5.2 / 1.9

DraftKings scoring: IP ×2.25, K ×2, Win ×4, ER −2, H −0.6, BB −0.6 — summed from each projected component.

Davis Martin's full player page →

Projected DK Points9.2 pts

Innings5.7
Strikeouts4.4
Win probability30%
Earned runs3.9
Hits / Walks7.1 / 1.9

DraftKings scoring: IP ×2.25, K ×2, Win ×4, ER −2, H −0.6, BB −0.6 — summed from each projected component.

Zebby Matthews's full player page →

Projected DK Points7.9 pts

Innings3.9
Strikeouts3.4
Win probability30%
Earned runs2.3
Hits / Walks3.8 / 2.3

DraftKings scoring: IP ×2.25, K ×2, Win ×4, ER −2, H −0.6, BB −0.6 — summed from each projected component.

Jacob Lopez's full player page →

Projected DK Points7.9 pts

Innings4.6
Strikeouts3.4
Win probability31%
Earned runs2.7
Hits / Walks5.8 / 2

DraftKings scoring: IP ×2.25, K ×2, Win ×4, ER −2, H −0.6, BB −0.6 — summed from each projected component.

Germán Márquez's full player page →

Projected DK Points7.9 pts

Innings4
Strikeouts3.8
Win probability28%
Earned runs2.6
Hits / Walks4.7 / 1.9

DraftKings scoring: IP ×2.25, K ×2, Win ×4, ER −2, H −0.6, BB −0.6 — summed from each projected component.

Rhett Lowder's full player page →

Projected DK Points6.5 pts

Innings4.4
Strikeouts3.4
Win probability28%
Earned runs3.1
Hits / Walks6 / 2.1

DraftKings scoring: IP ×2.25, K ×2, Win ×4, ER −2, H −0.6, BB −0.6 — summed from each projected component.

Grayson Rodriguez's full player page →

Projected DK Points6.2 pts

Innings1.5
Strikeouts3.1
Win probability25%
Earned runs1.2
Hits / Walks2.1 / 0.9

DraftKings scoring: IP ×2.25, K ×2, Win ×4, ER −2, H −0.6, BB −0.6 — summed from each projected component.

Beck Way's full player page →

Projected DK Points5.7 pts

Innings2
Strikeouts3.4
Win probability24%
Earned runs1.8
Hits / Walks3.3 / 1.3

DraftKings scoring: IP ×2.25, K ×2, Win ×4, ER −2, H −0.6, BB −0.6 — summed from each projected component.

Carson Palmquist'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.