ARCHIVE April 4, 2026
April 4, 2026 · NL West

Atlanta Braves vs Arizona Diamondbacks

April 4, 2026Chase FieldPartly Cloudy 89°F · 1 mph, Varies
AWAY
Atlanta Braves
6-3
1
vs

Starting pitchers

AWAY · ATL
Bryce Elder
Bryce Elder
IP 7
HOME · AZ
Michael Soroka
Michael Soroka
IP 5

Lineups

AWAY · ATL
  1. 1 Ronald Acuña Jr. RF
  2. 2 Drake Baldwin C
  3. 3 Matt Olson 1B
  4. 4 Austin Riley 3B
  5. 5 Mike Yastrzemski LF
  6. 6 Ozzie Albies 2B
  7. 7 Michael Harris II CF
  8. 8 Dominic Smith DH
  9. 9 Mauricio Dubón SS
HOME · AZ
  1. 1 Ketel Marte 2B
  2. 2 Corbin Carroll RF
  3. 3 Geraldo Perdomo SS
  4. 4 Gabriel Moreno C
  5. 5 Adrian Del Castillo DH
  6. 6 Nolan Arenado 3B
  7. 7 Jose Fernandez 1B
  8. 8 Alek Thomas CF
  9. 9 Jorge Barrosa LF

Box score

  123456789 R
ATL 010000000 1
AZ 020000000 2

Manager comparison

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

AWAY · ATL
Walt Weiss
C+ Lineup 1.7 R Bunts 0.0 R IBBs 0.2 R
HOME · AZ
Torey Lovullo
C- Lineup 2.0 R Bunts 2.1 R IBBs 0.6 R

Recent form

AWAY · ATL
7-3 L1 +18 run diff
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HOME · AZ
3-7 L2 -15 run diff
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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 · Atlanta Braves
  • Manager lineup cost −0.04 R/G Optimal arrangement projects 3.19 vs actual lineup 3.23
  • Player execution −2.23 R/G Players fell 2.23 short of the lineup's 3.23 projection (scored 1)
  • Game variance −2.19 R/G Total game outcome vs optimal expectation

Jr. 0-for-3 batting 1st

HOME · Arizona Diamondbacks
  • Manager lineup cost −0.07 R/G Optimal arrangement projects 2.80 vs actual lineup 2.86
  • Player execution −0.86 R/G Players fell 0.86 short of the lineup's 2.86 projection (scored 2)
  • Game variance −0.80 R/G Total game outcome vs optimal expectation

Marte 0-for-3 batting 1st

COUNTERFACTUAL

Optimal lineups projected 3.2 – 2.8 — actual was 1 – 2.

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.