ARCHIVE April 1, 2026
April 1, 2026 · NL East

Oakland Athletics vs Atlanta Braves

April 1, 2026Truist ParkPartly Cloudy 72°F · 3 mph, Out To LF
AWAY
Oakland Athletics
1-5
1
vs
HOME
Atlanta Braves
4-2
5

Starting pitchers

AWAY · ATH
Luis Severino
Luis Severino
IP 3.1
HOME · ATL
Chris Sale
Chris Sale
IP 6

Lineups

AWAY · ATH
  1. 1 Jacob Wilson SS
  2. 2 Andy Ibáñez 1B
  3. 3 Shea Langeliers DH
  4. 4 Brent Rooker RF
  5. 5 Max Muncy 3B
  6. 6 Tyler Soderstrom LF
  7. 7 Austin Wynns C
  8. 8 Darell Hernaiz 2B
  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 000100000 1
ATL 020300000 5

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 +0.10 R/G Optimal arrangement projects 2.87 vs actual lineup 2.77
  • Player execution −1.77 R/G Players fell 1.77 short of the lineup's 2.77 projection (scored 1)
  • Game variance −1.87 R/G Total game outcome vs optimal expectation

Rooker 0-for-3 batting 4th

HOME · Atlanta Braves
  • Manager lineup cost +0.01 R/G Optimal arrangement projects 4.08 vs actual lineup 4.07
  • Player execution +0.93 R/G Players exceeded the lineup's 4.07 projection by 0.93 (scored 5)
  • Game variance +0.92 R/G Total game outcome vs optimal expectation

Smith 2-for-4 from the 8-hole

COUNTERFACTUAL

Optimal lineups projected 2.9 – 4.1 — actual was 1 – 5.

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.