ARCHIVE March 30, 2026
March 30, 2026 · NL West

San Francisco Giants vs San Diego Padres

March 30, 2026Petco ParkCloudy 68°F · 6 mph, Out To RF
vs
HOME
San Diego Padres
1-3
2

Starting pitchers

AWAY · SF
Landen Roupp
Landen Roupp
IP 6
HOME · SD
Walker Buehler
Walker Buehler
IP 4

Lineups

AWAY · SF
  1. 1 Willy Adames SS
  2. 2 Rafael Devers DH
  3. 3 Heliot Ramos LF
  4. 4 Luis Arraez 2B
  5. 5 Matt Chapman 3B
  6. 6 Jung Hoo Lee RF
  7. 7 Harrison Bader CF
  8. 8 Patrick Bailey C
  9. 9 Casey Schmitt 1B
HOME · SD
  1. 1 Jake Cronenworth 2B
  2. 2 Fernando Tatis RF
  3. 3 Manny Machado 3B
  4. 4 Jackson Merrill CF
  5. 5 Xander Bogaerts SS
  6. 6 Gavin Sheets 1B
  7. 7 Ramón Laureano LF
  8. 8 Nick Castellanos DH
  9. 9 Luis Campusano C

Box score

  123456789 R
SF 001200000 3
SD 000000002 2

Manager comparison

Both managers grade B- / B entering this matchup.

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

Recent form

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

Season series: 1-2 with SF 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 Francisco Giants
  • Manager lineup cost +0.04 R/G Optimal arrangement projects 4.80 vs actual lineup 4.76
  • Player execution −1.76 R/G Players fell 1.76 short of the lineup's 4.76 projection (scored 3)
  • Game variance −1.80 R/G Total game outcome vs optimal expectation

Bader HR from the 7-hole

HOME · San Diego Padres
  • Manager lineup cost −0.03 R/G Optimal arrangement projects 3.39 vs actual lineup 3.42
  • Player execution −1.42 R/G Players fell 1.42 short of the lineup's 3.42 projection (scored 2)
  • Game variance −1.39 R/G Total game outcome vs optimal expectation

Cronenworth 0-for-3 batting 1st

COUNTERFACTUAL

Optimal lineups projected 4.8 – 3.4 — actual was 3 – 2.

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.