ARCHIVE April 11, 2026
April 11, 2026 · NL East

Arizona Diamondbacks vs Philadelphia Phillies

April 11, 2026Citizens Bank ParkSunny 62°F · 14 mph, In From LF
vs

Starting pitchers

AWAY · AZ
Brandon Pfaadt
Brandon Pfaadt
IP 6
HOME · PHI
Taijuan Walker
Taijuan Walker
IP 5

Lineups

AWAY · AZ
  1. 1 Ketel Marte 2B
  2. 2 Corbin Carroll DH
  3. 3 Geraldo Perdomo SS
  4. 4 Adrian Del Castillo C
  5. 5 Jose Fernandez 1B
  6. 6 Nolan Arenado 3B
  7. 7 Tim Tawa LF
  8. 8 Alek Thomas CF
  9. 9 Jorge Barrosa RF
HOME · PHI
  1. 1 Trea Turner SS
  2. 2 Kyle Schwarber DH
  3. 3 Bryce Harper 1B
  4. 4 Brandon Marsh LF
  5. 5 Bryson Stott 2B
  6. 6 Adolis García RF
  7. 7 J.T. Realmuto C
  8. 8 Alec Bohm 3B
  9. 9 Justin Crawford CF

Box score

  123456789 R
AZ 200000010 3
PHI 004000000 4

Manager comparison

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

AWAY · AZ
Torey Lovullo
C- Lineup 2.0 R Bunts 2.1 R IBBs 0.6 R
HOME · PHI
Don Mattingly
C- Lineup 2.2 R Bunts 0.4 R IBBs 0.7 R Interim

Recent form

AWAY · AZ
3-7 L2 -15 run diff
LLWLLLLWLW
HOME · PHI
7-3 L2 +3 run diff
LLWWWWLWWW

Season series: 2-1 with AZ 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 · Arizona Diamondbacks
  • Manager lineup cost −0.12 R/G Optimal arrangement projects 4.81 vs actual lineup 4.92
  • Player execution −1.92 R/G Players fell 1.92 short of the lineup's 4.92 projection (scored 3)
  • Game variance −1.81 R/G Total game outcome vs optimal expectation

Carroll 0-for-3 batting 2nd

HOME · Philadelphia Phillies
  • Manager lineup cost +0.06 R/G Optimal arrangement projects 4.97 vs actual lineup 4.90
  • Player execution −0.90 R/G Players fell 0.90 short of the lineup's 4.90 projection (scored 4)
  • Game variance −0.97 R/G Total game outcome vs optimal expectation

Turner 0-for-4 batting 1st

COUNTERFACTUAL

Optimal lineups projected 4.8 – 5.0 — actual was 3 – 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.