ARCHIVE April 24, 2026
April 24, 2026 · NL West

Miami Marlins vs San Francisco Giants

April 24, 2026Oracle ParkPartly Cloudy 56°F · 12 mph, Out To CF
AWAY
Miami Marlins
13-13
9
vs
HOME
San Francisco Giants
11-15
4

Starting pitchers

AWAY · MIA
Sandy Alcantara
Sandy Alcantara
IP 6
HOME · SF
Adrian Houser
Adrian Houser
IP 4

Lineups

AWAY · MIA
  1. 1 Jakob Marsee CF
  2. 2 Kyle Stowers LF
  3. 3 Otto Lopez SS
  4. 4 Xavier Edwards 2B
  5. 5 Liam Hicks C
  6. 6 Agustín Ramírez DH
  7. 7 Owen Caissie RF
  8. 8 Graham Pauley 3B
  9. 9 Connor Norby 1B
HOME · SF
  1. 1 Willy Adames SS
  2. 2 Luis Arraez 2B
  3. 3 Matt Chapman 3B
  4. 4 Rafael Devers 1B
  5. 5 Casey Schmitt DH
  6. 6 Jung Hoo Lee RF
  7. 7 Heliot Ramos LF
  8. 8 Drew Gilbert CF
  9. 9 Eric Haase C

Box score

  123456789 R
MIA 311301000 9
SF 000030010 4

Manager comparison

Both managers grade C+ / B- entering this matchup.

AWAY · MIA
Clayton McCullough
C+ Lineup 1.4 R Bunts 0.4 R IBBs 0.6 R
HOME · SF
Tony Vitello
B- Lineup 0.8 R Bunts 0.7 R IBBs 1.4 R

Recent form

AWAY · MIA
4-6 L1 -6 run diff
LWLLLLWLWW
HOME · SF
1-8 L2 -25 run diff
LLWLLLLL?L

Season series: 1-2 with MIA listed first across 3 prior meetings.

Tactical analysis

RunsLeft separates manager decisions from player execution from game variance. Each card below is the same three-number framework that drives the share cards on the SPA replay page.

AWAY · Miami Marlins
  • Manager lineup cost +0.09 R/G Optimal arrangement projects 4.86 vs actual lineup 4.77
  • Player execution +4.23 R/G Players exceeded the lineup's 4.77 projection by 4.23 (scored 9)
  • Game variance +4.14 R/G Total game outcome vs optimal expectation

Norby HR from the 9-hole

HOME · San Francisco Giants
  • Manager lineup cost +0.05 R/G Optimal arrangement projects 3.51 vs actual lineup 3.46
  • Player execution +0.54 R/G Players exceeded the lineup's 3.46 projection by 0.54 (scored 4)
  • Game variance +0.49 R/G Total game outcome vs optimal expectation

Adames 0-for-5 batting 1st

COUNTERFACTUAL

Optimal lineups projected 4.9 – 3.5 — actual was 9 – 4.

Keep reading

How RunsLeft analyzes games

Standard content on this page comes from the MLB Stats API. Tactical analysis comes from a per-game Monte Carlo: 10,000 simulated games against the opposing starter's ERA, both for the actual lineup the manager wrote and for the optimal arrangement of those nine players. The three numbers — manager cost, player execution, game variance — separate which part of the result was the lineup, the players, or the dice.

Read the full methodology.