ARCHIVE March 31, 2026
March 31, 2026 · NL East

Oakland Athletics vs Atlanta Braves

March 31, 2026Truist ParkPartly Cloudy 79°F · 10 mph, R To L
AWAY
Oakland Athletics
1-4
5
vs
HOME
Atlanta Braves
3-2
2

Starting pitchers

AWAY · ATH
Aaron Civale
Aaron Civale
IP 5
HOME · ATL
Martín Pérez
Martín Pérez
IP 4.1

Lineups

AWAY · ATH
  1. 1 Jacob Wilson SS
  2. 2 Shea Langeliers C
  3. 3 Nick Kurtz 1B
  4. 4 Brent Rooker DH
  5. 5 Tyler Soderstrom LF
  6. 6 Max Muncy 3B
  7. 7 Andy Ibáñez 2B
  8. 8 Lawrence Butler RF
  9. 9 Denzel Clarke CF
HOME · 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

Box score

  123456789 R
ATH 030110000 5
ATL 100010000 2

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 −0.01 R/G Optimal arrangement projects 2.86 vs actual lineup 2.87
  • Player execution +2.13 R/G Players exceeded the lineup's 2.87 projection by 2.13 (scored 5)
  • Game variance +2.14 R/G Total game outcome vs optimal expectation

Kurtz 0-for-4 batting 3rd

HOME · Atlanta Braves
  • Manager lineup cost +0.02 R/G Optimal arrangement projects 3.57 vs actual lineup 3.55
  • Player execution −1.55 R/G Players fell 1.55 short of the lineup's 3.55 projection (scored 2)
  • Game variance −1.57 R/G Total game outcome vs optimal expectation

Jr. 0-for-4 batting 1st

COUNTERFACTUAL

Optimal lineups projected 2.9 – 3.6 — actual was 5 – 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.