ARCHIVE April 26, 2026
April 26, 2026 · NL West

Miami Marlins vs San Francisco Giants

April 26, 2026Oracle ParkPartly Cloudy 57°F · 13 mph, Varies
AWAY
Miami Marlins
13-15
3
vs
HOME
San Francisco Giants
13-15
6

Starting pitchers

AWAY · MIA
Max Meyer
Max Meyer
IP 5
HOME · SF
Landen Roupp
Landen Roupp
IP 7.2

Lineups

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

Box score

  123456789 R
MIA 030000000 3
SF 001002300 6

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 −0.02 R/G Optimal arrangement projects 3.17 vs actual lineup 3.19
  • Player execution −0.19 R/G Players fell 0.19 short of the lineup's 3.19 projection (scored 3)
  • Game variance −0.17 R/G Total game outcome vs optimal expectation

Pauley HR from the 8-hole

HOME · San Francisco Giants
  • Manager lineup cost −0.05 R/G Optimal arrangement projects 3.44 vs actual lineup 3.49
  • Player execution +2.51 R/G Players exceeded the lineup's 3.49 projection by 2.51 (scored 6)
  • Game variance +2.56 R/G Total game outcome vs optimal expectation

Arraez 0-for-3 batting 3rd

COUNTERFACTUAL

Optimal lineups projected 3.2 – 3.4 — actual was 3 – 6.

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.