ARCHIVE April 2, 2026
April 2, 2026 · NL West

Atlanta Braves vs Arizona Diamondbacks

April 2, 2026Chase FieldPartly Cloudy 80°F · 0 mph, None
AWAY
Atlanta Braves
5-2
17
vs

Starting pitchers

AWAY · ATL
Reynaldo López
Reynaldo López
IP 5
HOME · AZ
Ryne Nelson
Ryne Nelson
IP 4.2

Lineups

AWAY · ATL
  1. 1 Ronald Acuña 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 CF
  8. 8 Dominic Smith DH
  9. 9 Mauricio Dubón SS
HOME · AZ
  1. 1 Ketel Marte 2B
  2. 2 Corbin Carroll DH
  3. 3 Geraldo Perdomo SS
  4. 4 Gabriel Moreno C
  5. 5 Alek Thomas CF
  6. 6 Nolan Arenado 3B
  7. 7 Carlos Santana 1B
  8. 8 Jordan Lawlar LF
  9. 9 Jorge Barrosa RF

Box score

  123456789 R
ATL 101082005 17
AZ 001000001 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
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 +0.33 R/G Optimal arrangement projects 4.94 vs actual lineup 4.61
  • Player execution +12.39 R/G Players exceeded the lineup's 4.61 projection by 12.39 (scored 17)
  • Game variance +12.06 R/G Total game outcome vs optimal expectation

Mateo HR from the 8-hole

HOME · Arizona Diamondbacks
  • Manager lineup cost +0.11 R/G Optimal arrangement projects 3.51 vs actual lineup 3.40
  • Player execution −1.40 R/G Players fell 1.40 short of the lineup's 3.40 projection (scored 2)
  • Game variance −1.51 R/G Total game outcome vs optimal expectation

Marte 0-for-4 batting 1st

COUNTERFACTUAL

Optimal lineups projected 4.9 – 3.5 — actual was 17 – 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.