ARCHIVE April 28, 2026
April 28, 2026 · NL East

San Francisco Giants vs Philadelphia Phillies

April 28, 2026Citizens Bank ParkPartly Cloudy 60°F · 6 mph, Out To LF
AWAY
San Francisco Giants
13-16
0
vs
HOME
Philadelphia Phillies
10-19
7

Starting pitchers

AWAY · SF
Tyler Mahle
Tyler Mahle
IP 5
HOME · PHI
Jesús Luzardo
Jesús Luzardo
IP 7

Lineups

AWAY · SF
  1. 1 Jung Hoo Lee RF
  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 Heliot Ramos LF
  8. 8 Drew Gilbert CF
  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 Alec Bohm 3B
  8. 8 Justin Crawford CF
  9. 9 Rafael Marchán C

Box score

  123456789 R
SF 000000000 0
PHI 000104020 7

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 −0.01 R/G Optimal arrangement projects 4.83 vs actual lineup 4.84
  • Player execution −4.84 R/G Players fell 4.84 short of the lineup's 4.84 projection (scored 0)
  • Game variance −4.83 R/G Total game outcome vs optimal expectation

Lee 0-for-4 batting 1st

HOME · Philadelphia Phillies
  • Manager lineup cost +0.02 R/G Optimal arrangement projects 4.91 vs actual lineup 4.89
  • Player execution +2.11 R/G Players exceeded the lineup's 4.89 projection by 2.11 (scored 7)
  • Game variance +2.09 R/G Total game outcome vs optimal expectation

Schwarber 0-for-3 batting 2nd

COUNTERFACTUAL

Optimal lineups projected 4.8 – 4.9 — actual was 0 – 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.