ARCHIVE April 6, 2026
April 6, 2026 · NL West

Philadelphia Phillies vs San Francisco Giants

April 6, 2026Oracle ParkPartly Cloudy 55°F · 14 mph, Out To CF
vs

Starting pitchers

AWAY · PHI
Andrew Painter
Andrew Painter
IP 4
HOME · SF
Adrian Houser
Adrian Houser
IP 6

Lineups

AWAY · PHI
  1. 1 Trea Turner SS
  2. 2 Kyle Schwarber DH
  3. 3 Bryce Harper 1B
  4. 4 Alec Bohm 3B
  5. 5 Bryson Stott 2B
  6. 6 Adolis García RF
  7. 7 Brandon Marsh LF
  8. 8 J.T. Realmuto C
  9. 9 Justin Crawford CF
HOME · SF
  1. 1 Willy Adames SS
  2. 2 Luis Arraez 2B
  3. 3 Matt Chapman 3B
  4. 4 Rafael Devers 1B
  5. 5 Heliot Ramos LF
  6. 6 Jung Hoo Lee RF
  7. 7 Jerar Encarnacion DH
  8. 8 Harrison Bader CF
  9. 9 Patrick Bailey C

Box score

  123456789 R
PHI 000020400 6
SF 003100000 4

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 −0.02 R/G Optimal arrangement projects 4.89 vs actual lineup 4.92
  • Player execution +1.08 R/G Players exceeded the lineup's 4.92 projection by 1.08 (scored 6)
  • Game variance +1.11 R/G Total game outcome vs optimal expectation

Schwarber 0-for-3 batting 2nd

HOME · San Francisco Giants
  • Manager lineup cost +0.04 R/G Optimal arrangement projects 4.81 vs actual lineup 4.78
  • Player execution −0.78 R/G Players fell 0.78 short of the lineup's 4.78 projection (scored 4)
  • Game variance −0.81 R/G Total game outcome vs optimal expectation

Devers 0-for-4 batting 4th

COUNTERFACTUAL

Optimal lineups projected 4.9 – 4.8 — actual was 6 – 4.

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.