ARCHIVE April 10, 2026
April 10, 2026 · NL East

Arizona Diamondbacks vs Philadelphia Phillies

April 10, 2026Citizens Bank ParkClear 68°F · 12 mph, Out To CF
vs

Starting pitchers

AWAY · AZ
Michael Soroka
Michael Soroka
IP 5.2
HOME · PHI
Jesús Luzardo
Jesús Luzardo
IP 4.2

Lineups

AWAY · AZ
  1. 1 Ketel Marte 2B
  2. 2 Ildemaro Vargas 1B
  3. 3 Geraldo Perdomo SS
  4. 4 Gabriel Moreno C
  5. 5 Nolan Arenado 3B
  6. 6 Jose Fernandez DH
  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 Alec Bohm 3B
  8. 8 J.T. Realmuto C
  9. 9 Justin Crawford CF

Box score

  123456789 R
AZ 000050000 5
PHI 400000000 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
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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 +0.15 R/G Optimal arrangement projects 4.86 vs actual lineup 4.70
  • Player execution +0.30 R/G Players exceeded the lineup's 4.70 projection by 0.30 (scored 5)
  • Game variance +0.14 R/G Total game outcome vs optimal expectation

Lineup spots out of order vs season production

HOME · Philadelphia Phillies
  • Manager lineup cost −0.01 R/G Optimal arrangement projects 3.25 vs actual lineup 3.26
  • Player execution +0.74 R/G Players exceeded the lineup's 3.26 projection by 0.74 (scored 4)
  • Game variance +0.75 R/G Total game outcome vs optimal expectation

Schwarber 0-for-3 batting 2nd

COUNTERFACTUAL

Optimal lineups projected 4.9 – 3.3 — actual was 5 – 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.