ARCHIVE April 5, 2026
April 5, 2026 · NL West

Atlanta Braves vs Arizona Diamondbacks

April 5, 2026Chase FieldRoof Closed 76°F · 0 mph, None
AWAY
Atlanta Braves
6-4
5
vs

Starting pitchers

AWAY · ATL
Martín Pérez
Martín Pérez
IP 5
HOME · AZ
Brandon Pfaadt
Brandon Pfaadt
IP 4.2

Lineups

AWAY · ATL
  1. 1 Ronald Acuña Jr. DH
  2. 2 Drake Baldwin C
  3. 3 Matt Olson 1B
  4. 4 Mike Yastrzemski LF
  5. 5 Michael Harris II CF
  6. 6 Ozzie Albies 2B
  7. 7 Mauricio Dubón 3B
  8. 8 Eli White RF
  9. 9 Jorge Mateo SS
HOME · AZ
  1. 1 Ketel Marte 2B
  2. 2 Corbin Carroll RF
  3. 3 Geraldo Perdomo SS
  4. 4 Nolan Arenado 3B
  5. 5 Jose Fernandez DH
  6. 6 Carlos Santana 1B
  7. 7 Tim Tawa LF
  8. 8 James McCann C
  9. 9 Jorge Barrosa CF

Box score

  12345678910 R
ATL 1000201010 5
AZ 1002011001 6

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 +0.16 R/G Optimal arrangement projects 4.95 vs actual lineup 4.79
  • Player execution +0.21 R/G Players exceeded the lineup's 4.79 projection by 0.21 (scored 5)
  • Game variance +0.05 R/G Total game outcome vs optimal expectation

Olson 0-for-3 batting 3rd

HOME · Arizona Diamondbacks
  • Manager lineup cost +0.01 R/G Optimal arrangement projects 2.84 vs actual lineup 2.83
  • Player execution +3.17 R/G Players exceeded the lineup's 2.83 projection by 3.17 (scored 6)
  • Game variance +3.16 R/G Total game outcome vs optimal expectation

Lineup spots out of order vs season production

COUNTERFACTUAL

Optimal lineups projected 5.0 – 2.8 — actual was 5 – 6.

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.