ARCHIVE April 30, 2026
April 30, 2026 · NL East

San Francisco Giants vs Philadelphia Phillies

April 30, 2026Citizens Bank ParkCloudy 59°F · 10 mph, In From LF
AWAY
San Francisco Giants
13-17
2
vs
HOME
Philadelphia Phillies
11-19
3

Starting pitchers

AWAY · SF
Logan Webb
Logan Webb
IP 7
HOME · PHI
Cristopher Sánchez
Cristopher Sánchez
IP 6.2

Lineups

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

Box score

  123456789 R
SF 200000000 2
PHI 100000002 3

Manager comparison

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

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

Recent form

AWAY · SF
1-8 L2 -25 run diff
LLWLLLLL?L
HOME · PHI
7-3 L2 +3 run diff
LLWWWWLWWW

Season series: 1-3 with SF 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 · San Francisco Giants
  • Manager lineup cost −0.03 R/G Optimal arrangement projects 3.14 vs actual lineup 3.16
  • Player execution −1.16 R/G Players fell 1.16 short of the lineup's 3.16 projection (scored 2)
  • Game variance −1.14 R/G Total game outcome vs optimal expectation

Arraez 0-for-4 batting 3rd

HOME · Philadelphia Phillies
  • Manager lineup cost +0.04 R/G Optimal arrangement projects 4.18 vs actual lineup 4.14
  • Player execution −1.14 R/G Players fell 1.14 short of the lineup's 4.14 projection (scored 3)
  • Game variance −1.18 R/G Total game outcome vs optimal expectation

Turner 0-for-4 batting 1st

COUNTERFACTUAL

Optimal lineups projected 3.1 – 4.2 — 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.