ARCHIVE April 7, 2026
April 7, 2026 · NL West

Philadelphia Phillies vs San Francisco Giants

April 7, 2026Oracle ParkPartly Cloudy 59°F · 12 mph, Out To CF
vs

Starting pitchers

AWAY · PHI
Cristopher Sánchez
Cristopher Sánchez
IP 5
HOME · SF
Robbie Ray
Robbie Ray
IP 6.2

Lineups

AWAY · PHI
  1. 1 Trea Turner SS
  2. 2 Kyle Schwarber DH
  3. 3 Bryce Harper 1B
  4. 4 Adolis García RF
  5. 5 Edmundo Sosa 3B
  6. 6 J.T. Realmuto C
  7. 7 Otto Kemp LF
  8. 8 Dylan Moore 2B
  9. 9 Justin Crawford CF
HOME · SF
  1. 1 Willy Adames SS
  2. 2 Matt Chapman 3B
  3. 3 Luis Arraez 2B
  4. 4 Heliot Ramos LF
  5. 5 Rafael Devers 1B
  6. 6 Casey Schmitt DH
  7. 7 Jerar Encarnacion RF
  8. 8 Daniel Susac C
  9. 9 Jared Oliva CF

Box score

  123456789 R
PHI 000000000 0
SF 100021020 6

Manager comparison

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

AWAY · PHI
Don Mattingly
C- Lineup 2.2 R Bunts 0.4 R IBBs 0.7 R Interim
HOME · SF
Tony Vitello
B- Lineup 0.8 R Bunts 0.7 R IBBs 1.4 R

Recent form

AWAY · PHI
7-3 L2 +3 run diff
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HOME · SF
1-8 L2 -25 run diff
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Season series: 3-1 with PHI listed first across 5 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 · Philadelphia Phillies
  • Manager lineup cost +0.11 R/G Optimal arrangement projects 3.27 vs actual lineup 3.16
  • Player execution −3.16 R/G Players fell 3.16 short of the lineup's 3.16 projection (scored 0)
  • Game variance −3.27 R/G Total game outcome vs optimal expectation

García 0-for-4 batting 4th

HOME · San Francisco Giants
  • Manager lineup cost +0.04 R/G Optimal arrangement projects 2.80 vs actual lineup 2.76
  • Player execution +3.24 R/G Players exceeded the lineup's 2.76 projection by 3.24 (scored 6)
  • Game variance +3.20 R/G Total game outcome vs optimal expectation

Susac 3-for-4 from the 8-hole

COUNTERFACTUAL

Optimal lineups projected 3.3 – 2.8 — actual was 0 – 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.