ARCHIVE March 30, 2026
March 30, 2026 · NL East

Oakland Athletics vs Atlanta Braves

March 30, 2026Truist ParkCloudy 70°F · 5 mph, In From LF
AWAY
Oakland Athletics
0-4
0
vs
HOME
Atlanta Braves
3-1
4

Starting pitchers

AWAY · ATH
Jacob Lopez
Jacob Lopez
IP 4
HOME · ATL
Bryce Elder
Bryce Elder
IP 6

Lineups

AWAY · ATH
  1. 1 Nick Kurtz 1B
  2. 2 Shea Langeliers C
  3. 3 Tyler Soderstrom LF
  4. 4 Brent Rooker DH
  5. 5 Jacob Wilson SS
  6. 6 Lawrence Butler CF
  7. 7 Max Muncy 3B
  8. 8 Jeff McNeil 2B
  9. 9 Carlos Cortes RF
HOME · ATL
  1. 1 Ronald Acuña Jr. 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 Jonah Heim C
  9. 9 Michael Harris II CF

Box score

  123456789 R
ATH 000000000 0
ATL 300000010 4

Manager comparison

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

AWAY · ATH
Mark Kotsay
C- Lineup 2.6 R Bunts 1.1 R IBBs 1.1 R
HOME · ATL
Walt Weiss
C+ Lineup 1.7 R Bunts 0.0 R IBBs 0.2 R

Recent form

AWAY · ATH
5-5 W2 -1 run diff
WWLLWLLWWL
HOME · ATL
7-3 L1 +18 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 · Oakland Athletics
  • Manager lineup cost +0.06 R/G Optimal arrangement projects 2.89 vs actual lineup 2.83
  • Player execution −2.83 R/G Players fell 2.83 short of the lineup's 2.83 projection (scored 0)
  • Game variance −2.89 R/G Total game outcome vs optimal expectation

Kurtz 0-for-4 batting 1st

HOME · Atlanta Braves
  • Manager lineup cost −0.03 R/G Optimal arrangement projects 4.87 vs actual lineup 4.89
  • Player execution −0.89 R/G Players fell 0.89 short of the lineup's 4.89 projection (scored 4)
  • Game variance −0.87 R/G Total game outcome vs optimal expectation

Dubón 3-for-4 from the 7-hole

COUNTERFACTUAL

Optimal lineups projected 2.9 – 4.9 — actual was 0 – 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.