ARCHIVE April 3, 2026
April 3, 2026 · NL West

Atlanta Braves vs Arizona Diamondbacks

April 3, 2026Chase FieldPartly Cloudy 83°F · 4 mph, In From CF
AWAY
Atlanta Braves
6-2
2
vs

Starting pitchers

AWAY · ATL
Grant Holmes
Grant Holmes
IP 6
HOME · AZ
Eduardo Rodriguez
Eduardo Rodriguez
IP 7

Lineups

AWAY · ATL
  1. 1 Ronald Acuña RF
  2. 2 Drake Baldwin DH
  3. 3 Ozzie Albies 2B
  4. 4 Matt Olson 1B
  5. 5 Austin Riley 3B
  6. 6 Eli White LF
  7. 7 Mauricio Dubón SS
  8. 8 Michael Harris CF
  9. 9 Jonah Heim C
HOME · AZ
  1. 1 Ketel Marte 2B
  2. 2 Corbin Carroll RF
  3. 3 Geraldo Perdomo SS
  4. 4 Gabriel Moreno DH
  5. 5 Nolan Arenado 3B
  6. 6 Alek Thomas CF
  7. 7 James McCann C
  8. 8 Carlos Santana 1B
  9. 9 Tim Tawa LF

Box score

  123456789 R
ATL 000000002 2
AZ 000000000 0

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
LWLWWWLWWW
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 3.52 vs actual lineup 3.57
  • Player execution −1.57 R/G Players fell 1.57 short of the lineup's 3.57 projection (scored 2)
  • Game variance −1.52 R/G Total game outcome vs optimal expectation

Lineup spots out of order vs season production

HOME · Arizona Diamondbacks
  • Manager lineup cost +0.10 R/G Optimal arrangement projects 4.12 vs actual lineup 4.02
  • Player execution −4.02 R/G Players fell 4.02 short of the lineup's 4.02 projection (scored 0)
  • Game variance −4.12 R/G Total game outcome vs optimal expectation

Perdomo 0-for-4 batting 3rd

COUNTERFACTUAL

Optimal lineups projected 3.5 – 4.1 — actual was 2 – 0.

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.