ARCHIVE April 12, 2026
April 12, 2026 · NL East

Arizona Diamondbacks vs Philadelphia Phillies

April 12, 2026Citizens Bank ParkSunny 65°F · 9 mph, Out To CF
vs

Starting pitchers

AWAY · AZ
Zac Gallen
Zac Gallen
IP 5
HOME · PHI
Andrew Painter
Andrew Painter
IP 5

Lineups

AWAY · AZ
  1. 1 Ildemaro Vargas 2B
  2. 2 Corbin Carroll DH
  3. 3 Geraldo Perdomo SS
  4. 4 Jose Fernandez 1B
  5. 5 Nolan Arenado 3B
  6. 6 Tim Tawa LF
  7. 7 James McCann C
  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 Alec Bohm 3B
  8. 8 Rafael Marchán C
  9. 9 Justin Crawford CF

Box score

  123456789 R
AZ 010001020 4
PHI 000003000 3

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
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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 +0.17 R/G Optimal arrangement projects 4.94 vs actual lineup 4.77
  • Player execution −0.77 R/G Players fell 0.77 short of the lineup's 4.77 projection (scored 4)
  • Game variance −0.94 R/G Total game outcome vs optimal expectation

Perdomo 0-for-4 batting 3rd

HOME · Philadelphia Phillies
  • Manager lineup cost +0.03 R/G Optimal arrangement projects 3.61 vs actual lineup 3.58
  • Player execution −0.58 R/G Players fell 0.58 short of the lineup's 3.58 projection (scored 3)
  • Game variance −0.61 R/G Total game outcome vs optimal expectation

Lineup spots out of order vs season production

COUNTERFACTUAL

Optimal lineups projected 4.9 – 3.6 — actual was 4 – 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.