ARCHIVE May 4, 2026
May 4, 2026 · NL West

San Diego Padres vs San Francisco Giants

May 4, 2026Oracle ParkCloudy 58°F · 13 mph, Varies
AWAY
San Diego Padres
20-14
2
vs
HOME
San Francisco Giants
14-21
3

Starting pitchers

AWAY · SD
Randy Vásquez
Randy Vásquez
IP 5.2
HOME · SF
Trevor McDonald
Trevor McDonald
IP 7

Lineups

AWAY · SD
  1. 1 Ramón Laureano LF
  2. 2 Fernando Tatis Jr. RF
  3. 3 Jackson Merrill CF
  4. 4 Manny Machado 3B
  5. 5 Xander Bogaerts SS
  6. 6 Gavin Sheets 1B
  7. 7 Miguel Andujar DH
  8. 8 Freddy Fermin C
  9. 9 Jake Cronenworth 2B
HOME · SF
  1. 1 Jung Hoo Lee RF
  2. 2 Casey Schmitt 3B
  3. 3 Luis Arraez 2B
  4. 4 Heliot Ramos LF
  5. 5 Rafael Devers 1B
  6. 6 Willy Adames SS
  7. 7 Bryce Eldridge DH
  8. 8 Jesus Rodriguez C
  9. 9 Drew Gilbert CF

Box score

  123456789 R
SD 100000001 2
SF 200001000 3

Manager comparison

Both managers grade B / B- entering this matchup.

AWAY · SD
Craig Stammen
B Lineup 0.8 R Bunts 0.4 R IBBs 0.2 R
HOME · SF
Tony Vitello
B- Lineup 0.8 R Bunts 0.7 R IBBs 1.4 R

Recent form

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

Season series: 2-1 with SD 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 · San Diego Padres
  • Manager lineup cost −0.02 R/G Optimal arrangement projects 2.33 vs actual lineup 2.35
  • Player execution −0.35 R/G Players fell 0.35 short of the lineup's 2.35 projection (scored 2)
  • Game variance −0.33 R/G Total game outcome vs optimal expectation

Jr. 0-for-4 batting 2nd

HOME · San Francisco Giants
  • Manager lineup cost +0.07 R/G Optimal arrangement projects 3.52 vs actual lineup 3.45
  • Player execution −0.45 R/G Players fell 0.45 short of the lineup's 3.45 projection (scored 3)
  • Game variance −0.52 R/G Total game outcome vs optimal expectation

Lee 0-for-4 batting 1st

COUNTERFACTUAL

Optimal lineups projected 2.3 – 3.5 — actual was 2 – 3.

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.