ARCHIVE April 1, 2026
April 1, 2026 · NL West

San Francisco Giants vs San Diego Padres

April 1, 2026Petco ParkPartly Cloudy 70°F · 10 mph, L To R
vs
HOME
San Diego Padres
2-4
7

Starting pitchers

AWAY · SF
Adrian Houser
Adrian Houser
IP 5.1
HOME · SD
Nick Pivetta
Nick Pivetta
IP 5

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 Fernando Tatis Jr. RF
  2. 2 Xander Bogaerts SS
  3. 3 Jackson Merrill CF
  4. 4 Manny Machado 3B
  5. 5 Ramón Laureano DH
  6. 6 Jake Cronenworth 2B
  7. 7 Gavin Sheets 1B
  8. 8 Freddy Fermin C
  9. 9 Bryce Johnson LF

Box score

  123456789 R
SF 000000100 1
SD 100011040 7

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 −0.01 R/G Optimal arrangement projects 4.05 vs actual lineup 4.07
  • Player execution −3.07 R/G Players fell 3.07 short of the lineup's 4.07 projection (scored 1)
  • Game variance −3.05 R/G Total game outcome vs optimal expectation

Adames 0-for-4 batting 1st

HOME · San Diego Padres
  • Manager lineup cost −0.05 R/G Optimal arrangement projects 4.70 vs actual lineup 4.74
  • Player execution +2.26 R/G Players exceeded the lineup's 4.74 projection by 2.26 (scored 7)
  • Game variance +2.30 R/G Total game outcome vs optimal expectation

Bogaerts 0-for-4 batting 2nd

COUNTERFACTUAL

Optimal lineups projected 4.0 – 4.7 — actual was 1 – 7.

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.